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ORCIDCoRR, January 2023
- Jordan Thompson, Ryan Benac, Kidus Olana, Talha Hassan, Andrew Sward, Tauheed Khan Mohd:
NFTrig. - Henan Zhao, Garnett W. Bryant, Wesley Griffin, Judith E. Terrill, Jian Chen:
Evaluating Alternative Glyph Design for Showing Large-Magnitude-Range Quantum Spins. - Junya Morita:
Emotion in Cognitive Architecture: Emergent Properties from Interactions with Human Emotion. - Stas Tiomkin, Ilya Nemenman, Daniel Polani, Naftali Tishby:
Intrinsic Motivation in Dynamical Control Systems. - Hyeonsu Jeong, Hye Won Chung:
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing. - Agnieszka Niemczynowicz, Radoslaw A. Kycia, Maciej Jaworski, Artur Siemaszko, Jose M. Calabuig, Lluís Miquel Garcia-Raffi, Baruch Schneider, Diana Berseghyan, Irina Perfiljeva, Vilém Novák, Piotr Artiemjew
:
Selected aspects of complex, hypercomplex and fuzzy neural networks. - Saket Tiwari, George Konidaris:
Effects of Data Geometry in Early Deep Learning. - (Withdrawn) On the Geometry of Reinforcement Learning in Continuous State and Action Spaces.
- Zhangkai Wu, Longbing Cao, Lei Qi:
eVAE: Evolutionary Variational Autoencoder. - Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Fang Chen:
GANExplainer: GAN-based Graph Neural Networks Explainer. - Tommaso Barbariol, Davide Masiero, Enrico Feltresi, Gian Antonio Susto:
Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters. - Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. - (Withdrawn) Behave-XAI: Deep Explainable Learning of Behavioral Representational Data.
- Balamurugan Thambiraja, Ikhsanul Habibie, Sadegh Aliakbarian, Darren Cosker, Christian Theobalt, Justus Thies:
Imitator: Personalized Speech-driven 3D Facial Animation. - Muhammad Nadeem, Faisal Bukhari, Ali Hussain:
Predicting the Students Involvements and its Impacts on Learning Outcomes Through Online Education During Covid-19. - Aolin Xu, Peng Guan:
Bayesian Learning for Dynamic Inference. - Altan Cakir, Mert Gürkan:
Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce. - Thomas Grippo, Hisham A. Kholidy:
Detecting Forged Kerberos Tickets in an Active Directory Environment. - Daniel Zielinski, Hisham A. Kholidy:
An Analysis of Honeypots and their Impact as a Cyber Deception Tactic. - Alexander A. Rubtsov:
The Simplest Proof of Parikh's Theorem via Derivation Trees. - Jose James:
Multi-Finger Haptics: Analysis of Human Hand Grasp towards a Tripod Three-Finger Haptic Grasp model. - Mathieu Labbé, François Michaud:
Long-Term Online Multi-Session Graph-Based SPLAM with Memory Management. - Trevor Ablett, Bryan Chan, Jonathan Kelly:
Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks. - Christian Ellis, Maggie B. Wigness, Lance Fiondella:
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle. - Yufei Zheng, Huacheng Yu, Jennifer Rexford:
Detecting TCP Packet Reordering in the Data Plane. - Karim Kadry, Abhishek Karmakar, Andreas Schuh, Kersten Petersen, Michiel Schaap, David Marlevi, Charles A. Taylor, Elazer R. Edelman, Farhad Rikhtegar Nezami:
Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization. - Yukun Feng, Ming Tu, Rui Xia, Chuanzeng Huang, Yuxuan Wang:
Memory Augmented Lookup Dictionary based Language Modeling for Automatic Speech Recognition. - Tom Young, Yang You:
On the Inconsistencies of Conditionals Learned by Masked Language Models. - L. Ponzellini Marinelli, L. Raviola:
A stabilized local integral method using RBFs for the Helmholtz equation with applications to wave chaos and dielectric microresonators. - Stefano Scanzio, Federico Bitondo, Gianluca Cena, Adriano Valenzano:
CONSIP: Consistency Protocol for Hopping Function Exchange and Black listing in TSCH. - Jinghan Sun, Shaobo Li, Yunxin Sun, Chao Sun, Dejan Vucinic, Jian Huang:
LeaFTL: A Learning-Based Flash Translation Layer for Solid-State Drives. - Wee-Kiat New, Kai-Kit Wong, Hao Xu, Kin-Fai Tong, Chan-Byoung Chae:
Fluid Antenna System: New Insights on Outage Probability and Diversity Gain. - Matthew Anderson, Zongliang Ji, Anthony Yang Xu:
Matrix Multiplication: Verifying Strong Uniquely Solvable Puzzles. - Aref Amiri, Hassan Salarieh:
Optimal Motion Generation of the Bipedal Under-Actuated Planar Robot for Stair Climbing. - Aref Amiri, Hassan Salarieh:
Impact Invariant Trajectory Optimization of 5-Link Biped Robot Using Hybrid Optimization. - (Withdrawn) A Transient Electrical-Thermal Co-Simulation Method with LTS for Multiscale Structures.
- Wei Cao, Liguo Zhou, Yuhong Huang, Alois C. Knoll:
Autonomous Driving Simulator based on Neurorobotics Platform. - Fransiscus, Abba Suganda Girsang:
Sentiment Analysis of COVID-19 Public Activity Restriction (PPKM) Impact using BERT Method. - Badih Ghazi, Rahul Ilango, Pritish Kamath, Ravi Kumar, Pasin Manurangsi:
Separating Computational and Statistical Differential Privacy (Under Plausible Assumptions). - Greeshma Krishna, Malavika S. Nair, Pramod P. Nair, Anil Lal S:
Physics-informed Neural Networks approach to solve the Blasius function. - Yuqian Lv, Bo Zhou, Jinhuan Wang, Qi Xuan:
Targeted k-node Collapse Problem: Towards Understanding the Robustness of Local k-core Structure. - Juan Kenyhy Hancco-Quispe, Jordan Piero Borda-Colque, Fred Torres-Cruz:
Quantum Machine Learning Applied to the Classification of Diabetes. - Pratik K. Mishra, Alex Mihailidis, Shehroz S. Khan:
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions. - Mrinmoy Roy, Anica Tasnim Protity:
Hair and Scalp Disease Detection using Machine Learning and Image Processing. - Hyunsoo Lee, Soohyun Park, Won Joon Yun, Soyi Jung, Joongheon Kim:
Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems. - Di Wang, Simon X. Yang:
Broad Learning System with Takagi-Sugeno Fuzzy Subsystem for Tobacco Origin Identification based on Near Infrared Spectroscopy. - Wen Wu, Peng Yang, Weiting Zhang, Conghao Zhou, Xuemin Shen:
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning. - Jiaqing Zhang, Jie Lei, Weiying Xie, Yunsong Li, Xiuping Jia:
Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching. - Eleonora Achiluzzi, Menglu Li, Md Fahd Al Georgy, Rasha F. Kashef:
Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment. - Xu Gu, Yuchong Sun, Feiyue Ni, Shizhe Chen, Ruihua Song, Boyuan Li, Xiang Cao:
Translating Text Synopses to Video Storyboards. - Prashanth Amireddy, Sai Jayasurya, Jayalal Sarma:
Power of Decision Trees with Monotone Queries. - Sam Powers, Eliot Xing, Abhinav Gupta:
Self-Activating Neural Ensembles for Continual Reinforcement Learning. - Björn W. Schuller, Shahin Amiriparian, Anton Batliner, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Alexander Kathan, Lennart Seizer, Johanna Löchner:
Computational Charisma - A Brick by Brick Blueprint for Building Charismatic Artificial Intelligence. - Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam, Yangsheng Xu:
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification. - Liguang Zhou, Junjie Hu, Yuhongze Zhou, Tin Lun Lam, Yangsheng Xu:
Peer Learning for Unbiased Scene Graph Generation. - Jianhui Yu, Chaoyi Zhang, Tom Weidong Cai:
Rethinking Rotation Invariance with Point Cloud Registration. - Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma:
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. - Peter Svec, Stefan Balogh, Martin Homola, Ján Kluka:
Knowledge-Based Dataset for Training PE Malware Detection Models. - Di Huang, Sida Peng, Tong He, Xiaowei Zhou, Wanli Ouyang:
Ponder: Point Cloud Pre-training via Neural Rendering. - Pedro Casau, Ricardo G. Sanfelice, Carlos Silvestre:
robust synergistic hybrid feedback. - Zijian Zhang, Linglong Dai, Xibi Chen, Changhao Liu, Fan Yang, Robert Schober, H. Vincent Poor:
Active RISs: Signal Modeling, Asymptotic Analysis, and Beamforming Design. - Xingping Xian, Tao Wu, Xiaoke Ma, Shaojie Qiao, Yabin Shao, Chao Wang, Lin Yuan, Yu Wu:
Generative Graph Neural Networks for Link Prediction. - Sho Cremers, Valentin Robu, Peter Zhang, Merlinda Andoni, Sonam Norbu, David Flynn:
Efficient Methods for Approximating the Shapley Value for Asset Sharing in Energy Communities. - Yun Zeng, Deren Han, Yansheng Su, Jiaxin Xie:
Randomized Kaczmarz method with adaptive stepsizes for inconsistent linear systems. - I. K. Hong:
Smooth Mathematical Function from Compact Neural Networks. - Wenhao Wu, Xiaohan Wang, Haipeng Luo, Jingdong Wang, Yi Yang, Wanli Ouyang:
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models. - Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario, Christian Zingg:
Modeling social resilience: Questions, answers, open problems. - Wenhao Wu, Haipeng Luo, Bo Fang, Jingdong Wang, Wanli Ouyang:
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? - L. Ridgway Scott, Tabea Tscherpel:
Dimensions of exactly divergence-free finite element spaces in 3D. - Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou:
New Challenges in Reinforcement Learning: A Survey of Security and Privacy. - Lars Holmberg, Paul Davidsson, Per Linde:
Mapping Knowledge Representations to Concepts: A Review and New Perspectives. - (Withdrawn) Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints.
- Kangcheng Liu:
An Integrated Visual System for Unmanned Aerial Vehicles Tracking and Landing on the Ground Vehicles. - Frits W. Vaandrager, Thorsten Wißmann:
Action Codes. - Sebastian Erhardt, Mainak Ghosh, Erik Buunk, Michael E. Rose, Dietmar Harhoff:
Logic Mill - A Knowledge Navigation System. - Youwei He, Jinliang Luo:
An Efficient Hierarchical Kriging Modeling Method for High-dimension Multi-fidelity Problems. - Nihar B. Shah:
The Role of Author Identities in Peer Review. - Alexander Schlüter, Henning Müller, Sikang Yan, Erik Faust, Ralf Müller:
A Lattice Boltzmann Method for Elastic Solids Under Plane Strain Deformation. - Xin Ma, Chang Liu, Chunyu Xie, Long Ye, Yafeng Deng, Xiangyang Ji:
Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling. - Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui:
A Survey for In-context Learning. - Sandipan Sarma, Arijit Sur:
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning. - Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail I. Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud:
Approaching Peak Ground Truth. - Jiaqi Geng, Dong Huang, Fernando De la Torre:
DensePose From WiFi. - Sagar Sharma, Yuechun Gu, Keke Chen:
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning. - Chengbo Yuan, Qianhui Xu, Yong Luo:
Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion. - Parakh M. Gupta, Èric Pairet, Tiago P. Nascimento, Martin Saska:
Landing a UAV in Harsh Winds and Turbulent Open Waters. - Piyush Batra, Gagan Raj Singh, Neeraj Goyal:
Application Of ADNN For Background Subtraction In Smart Surveillance System. - Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Source-Free Unsupervised Domain Adaptation: A Survey. - Ali Abedi, Haofan Lu, Alex Chen, Charlie Liu, Omid Abari:
WiFi Physical Layer Stays Awake and Responds When it Should Not. - Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos:
UltraProp: Principled and Explainable Propagation on Large Graphs. - Abdelhamid Salem, Kai-Kit Wong, Chan-Byoung Chae:
Impact of Phase-Shift Error on the Secrecy Performance of Uplink RIS Communication Systems. - Mariam Zomorodi, Ismail Ghodsollahee, Pawel Plawiak, U. Rajendra Acharya:
RECOMMED: A Comprehensive Pharmaceutical Recommendation System. - Dumitru Damian:
Lightmorphic Signatures Analysis Toolkit. - Dean Wang:
Stability Analysis of Picard Iteration for Coupled Neutronics/Thermal-Hydraulics Simulations. - Mohammadhossein Askarihemmat, Sean Wagner, Olexa Bilaniuk, Yassine Hariri, Yvon Savaria, Jean-Pierre David:
BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU. - Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang:
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. - Hangfeng He, Hongming Zhang, Dan Roth:
Rethinking with Retrieval: Faithful Large Language Model Inference. - Georgios Paraskevopoulos, Theodoros Kouzelis, Georgios Rouvalis, Athanasios Katsamanis, Vassilis Katsouros, Alexandros Potamianos:
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek. - Deukryeol Yoon, Dongjin Lee, Minyoung Choe, Kijung Shin:
Graphlets over Time: A New Lens for Temporal Network Analysis. - Zhewei Liu, Ali Mostafavi:
Collision of Environmental Injustice and Sea Level Rise: Assessment of Risk Inequality in Flood-induced Pollutant Dispersion from Toxic Sites in Texas. - M. Alex O. Vasilescu:
Causal Deep Learning: Causal Capsules and Tensor Transformers. - Hoon Hong, Jing Yang:
Parametric "Non-nested" Discriminants for Multiplicities of Univariate Polynomials. - Oscar Skean, Richard Ehrenborg, Jerzy W. Jaromczyk:
Optimization Perspectives on Shellsort. - Wisal Mukhtiar, Waliiya Rizwan, Aneela Habib, Yasir Saleem Afridi, Laiq Hasan, Kashif Ahmad:
Relevance Classification of Flood-related Twitter Posts via Multiple Transformers. - Muhammad Suleman, Muhammad Asif Ayub, Tayyab Zamir, Ayaz Mehmood, Jebran Khan, Nasir Ahmad, Kashif Ahmad:
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques. - Qiwen Li, Runze Gao, Yuanqing Xia:
Encrypted Data-driven Predictive Cloud Control with Disturbance Observer. - Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Zhangyang Wang, Yingbin Liang:
Convergence and Generalization of Wide Neural Networks with Large Bias. - Rajarshi Roy Chowdhury, Azam Che-Idris, Pg Emeroylariffion Abas:
Internet of Things: Digital Footprints Carry A Device Identity. - Yuedong Yang, Guihong Li, Radu Marculescu:
Efficient On-device Training via Gradient Filtering. - Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang:
Pruning Before Training May Improve Generalization, Provably. - Christian DeBuys, Florin C. Ghesu, Jagadeesan Jayender, Reza Langari, Young-Ho Kim:
Design, Modeling, and Evaluation of Separable Tendon-Driven Robotic Manipulator with Long, Passive, Flexible Proximal Section. - Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William R. Gray Roncal, Erik C. Johnson, Eva L. Dyer:
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. - Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong:
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. - Haeyong Kang, Chang D. Yoo:
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation. - Dan Lin, Jiajing Wu, Qishuang Fu, Zibin Zheng, Ting Chen:
RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation. - Ruibo Liu, Chenyan Jia, Ge Zhang, Ziyu Zhuang, Tony X. Liu, Soroush Vosoughi:
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits. - Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta:
A Functional approach for Two Way Dimension Reduction in Time Series. - Wenhui Huang, Yanxin Zhou, Xiangkun He, Chen Lv:
Goal-guided Transformer-enabled Reinforcement Learning for Efficient Autonomous Navigation. - Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin:
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. - Fei Yin, Yong Zhang, Baoyuan Wu, Yan Feng, Jingyi Zhang, Yanbo Fan, Yujiu Yang:
Generalizable Black-Box Adversarial Attack with Meta Learning. - Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad:
Self-Supervised Object Segmentation with a Cut-and-Pasting GAN. - Libo Zhang, Wenzhang Zhou, Heng Fan, Tiejian Luo, Haibin Ling:
Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment. - Jorge Martínez Gil:
Optimizing Readability Using Genetic Algorithms. - Alfonso Tejedor Moreno, Jose A. Piedra-Fernández, Juan Jesus Ojeda-Castelo, Luis Iribarne:
Ithaca. A Tool for Integrating Fuzzy Logic in Unity. - Muhamad Rausyan Fikri, Taufiq Candra, Kushendarsyah Saptaji, Ajeng Nindi Noviarini, Dilla Ayu Wardani:
A review of Implementation and Challenges of Unmanned Aerial Vehicles for Spraying Applications and Crop Monitoring in Indonesia. - Zenan Huang, Jun Wen, Siheng Chen, Linchao Zhu, Nenggan Zheng:
Discriminative Radial Domain Adaptation. - Ali Shakiba:
Correlation Clustering Algorithm for Dynamic Complete Signed Graphs: An Index-based Approach. - S. M. Dhannya, N. S. Narayanaswamy, K. K. Nisha:
Exactly Hittable Interval Graphs. - Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Xuefeng Jiang, Bo Gao:
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing. - Chunyang Wang, Desen Sun, Yuebin Bai:
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs. - Yufan Wang, Kai Ming Ting, Yuanyi Shang:
A principled distributional approach to trajectory similarity measurement. - Lu Yang, Wenhe Jia, Shan Li, Qing Song:
Deep Learning Technique for Human Parsing: A Survey and Outlook. - Ge Zhang, Yizhi Li, Yaoyao Wu, Linyuan Zhang, Chenghua Lin, Jiayi Geng, Shi Wang, Jie Fu:
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation. - Xingwu Sun, Hongyin Tang, Chengzhong Xu:
Inflected Forms Are Redundant in Question Generation Models. - Farshad Noravesh:
Semantic Operator Prediction and Applications. - Kaibin Huang, Qiao Lan, Zhiyan Liu, Lin Yang:
Semantic Data Sourcing for 6G Edge Intelligence. - Rui Ding, Juntian Ye, Qifeng Gao, Feihu Xu, Yuping Duan:
Curvature regularization for Non-line-of-sight Imaging from Under-sampled Data. - Huaizheng Zhang, Yuanming Li, Wencong Xiao, Yizheng Huang, Xing Di, Jianxiong Yin, Simon See, Yong Luo, Chiew Tong Lau, Yang You:
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs. - Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. - Boyu Zhang, Wenbo Xu, Zheng Zhu, Guan Huang:
Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields. - Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar:
DaeMon: Architectural Support for Efficient Data Movement in Disaggregated Systems. - Duc-Vu Nguyen, Ngan Luu-Thuy Nguyen:
Is word segmentation necessary for Vietnamese sentiment classification? - Quoc-Loc Duong, Duc-Vu Nguyen, Ngan Luu-Thuy Nguyen:
Leveraging Semantic Representations Combined with Contextual Word Representations for Recognizing Textual Entailment in Vietnamese. - Yuanpeng He:
GoogLe2Net: Going Transverse with Convolutions. - Han Huang, Leilei Sun, Bowen Du, Weifeng Lv:
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation. - Hang Thi-Thu Le, Viet-Duc Ho, Duc-Vu Nguyen, Ngan Luu-Thuy Nguyen:
Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension. - Wenjing Zhang, Yining Wang, Mingzhe Chen, Tao Luo, Dusit Niyato:
Optimization of Image Transmission in a Cooperative Semantic Communication Networks. - Le Feng, Zhenxing Qian, Sheng Li, Xinpeng Zhang:
Trojaning semi-supervised learning model via poisoning wild images on the web. - Sadaf Gulshad, Teng Long, Nanne van Noord:
Hierarchical Explanations for Video Action Recognition. - Hien Dang, Tho Tran, Tan M. Nguyen, Stanley J. Osher, Hung Tran-The, Nhat Ho:
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. - Daniela Pöhn, Wolfgang Hommel:
An Overview of Limitations and Approaches in Identity Management. - Daniela Pöhn, Wolfgang Hommel:
TaxIdMA: Towards a Taxonomy for Attacks related to Identities. - Daniela Pöhn, Wolfgang Hommel:
IMC: A Classification of Identity Management Approaches. - James Batten, Matthew Sinclair, Ben Glocker, Michiel Schaap:
Image To Tree with Recursive Prompting. - Yonghao Long, Wang Wei, Tao Huang, Yuehao Wang, Qi Dou:
Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning. - Shangde Gao, Yan Wang, My T. Thai:
Investigating the Dynamics of Social Norm Emergence within Online Communities. - Zhibin Zou, Aveek Dutta:
Waveforms for xG Non-stationary Channels. - Padmaksha Roy:
Deep Correlation-Aware Kernelized Autoencoders for Anomaly Detection in Cybersecurity. - Luyao Sunshine Zhang:
The Design Principle of Blockchain: An Initiative for the SoK of SoKs. - Snehesh Shrestha, William Sentosatio, Huiashu Peng, Cornelia Fermüller, Yiannis Aloimonos:
FEVA: Fast Event Video Annotation Tool. - Razin Farhan Hussain, Mohsen Amini Salehi:
Federated Fog Computing for Remote Industry 4.0 Applications. - Joseph J. Boutros, Emina Soljanin:
Time-Entanglement QKD: Secret Key Rates and Information Reconciliation Coding. - Suayb S. Arslan, Pawan Sinha:
Information Transfer Rate in BCIs: Towards Tightly Integrated Symbiosis. - Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Federated Learning with Client-Exclusive Classes. - Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays:
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. - Savas Yildirim, Mucahit Cevik, Devang Parikh, Ayse Basar:
Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data. - Hongyu Zhou, Zirui Xu, Vasileios Tzoumas:
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control. - Yacheng He, Qianghuai Jia, Lin Yuan, Ruopeng Li, Yixin Ou, Ningyu Zhang:
A Concept Knowledge Graph for User Next Intent Prediction at Alipay. - Adam Gamba, Andrés Monroy-Hernández:
PokAR: Facilitating Poker Play Through Augmented Reality. - Fred W. Buhl:
EmoGator: A New Open Source Vocal Burst Dataset with Baseline Machine Learning Classification Methodologies. - Shouguo Yang, Chaopeng Dong, Yang Xiao, Yiran Cheng, Zhiqiang Shi, Zhi Li, Limin Sun:
Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge. - Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup:
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects. - Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong:
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. - Zhe Ma, Wen Wu, Feifei Gao, Xuemin Shen:
Model-Driven Deep Learning for Non-Coherent Massive Machine-Type Communications. - Xuemin Shen, Jie Gao, Wen Wu, Mushu Li, Conghao Zhou, Weihua Zhuang:
Holistic Network Virtualization and Pervasive Network Intelligence for 6G. - Shengjie Wang, Fengbo Lan, Xiang Zheng, Yuxue Cao, Oluwatosin Oseni, Haotian Xu, Yang Gao, Tao Zhang:
A RL-based Policy Optimization Method Guided by Adaptive Stability Certification. - Yang Xu, Ronghao Zheng, Senlin Zhang, Meiqin Liu:
Bayesian Generalized Kernel Inference for Exploration of Autonomous Robots. - Asma Ahmed Hashmi, Artem Agafonov, Aigerim Zhumabayeva, Mohammad Yaqub, Martin Takác:
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise. - Jumin Lee, Woobin Im, Sebin Lee, Sung-Eui Yoon:
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data. - Shuqi Liu, Yu Zhou, Tingting Han, Taolue Chen:
Test Reuse Based on Adaptive Semantic Matching across Android Mobile Applications. - Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin:
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification. - Sudhansu Bala Das, Divyajoti Panda, Tapas Kumar Mishra, Bidyut Kumar Patra:
Statistical Machine Translation for Indic Languages. - Yikai Wang, Yanwei Fu, Xinwei Sun:
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels. - Jisu Shin, SeungHyun Shin, Hae-Gon Jeon:
Task-specific Scene Structure Representations. - Ian Covert, Wei Qiu, Mingyu Lu, Nayoon Kim, Nathan J. White, Su-In Lee:
Learning to Maximize Mutual Information for Dynamic Feature Selection. - Pratik Gajane:
Local Differential Privacy for Sequential Decision Making in a Changing Environment. - Xujin Zhou, Irem Koprulu, Atilla Eryilmaz:
Age-Optimal Multi-Channel-Scheduling under Energy and Tolerance Constraints. - Juan S. Giraldo, Nataly Bañol Arias, Pedro P. Vergara, Maria Vlasiou, Gerwin Hoogsteen, Johann L. Hurink:
Estimating Risk-Aware Flexibility Areas for EV Charging Pools via Stochastic AC-OPF. - Judicael Poumay, Ashwin Ittoo:
Using meaning instead of words to track topics. - Fan Zhang, Arianna Salazar Miranda, Fábio Duarte, Lawrence Vale, Gary Hack, Yu Liu, Michael Batty, Carlo Ratti:
Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery. - Jiaxin Wang, Fang-Wei Fu, Yadi Wei:
Bent Partitions, Vectorial Dual-Bent Functions and Partial Difference Sets. - Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl:
Sparse neural networks with skip-connections for nonlinear system identification. - Mohammad Soleymani, Ignacio Santamaría, Eduard A. Jorswieck:
Spectral and Energy Efficiency Maximization of MISO STAR-RIS-assisted URLLC Systems. - Amitay Sicherman, Yossi Adi:
Analysing Discrete Self Supervised Speech Representation for Spoken Language Modeling. - Chiyu Zhang, Jun Yang, Zaiyan Dai, Peng Cao:
Edge Enhanced Image Style Transfer via Transformers. - Mohammad Soleymani, Ignacio Santamaría, Eduard A. Jorswieck:
Rate Region of MIMO RIS-assisted Broadcast Channels with Rate Splitting and Improper Signaling. - Ekaterina Antonenko, Jesse Read:
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets. - Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen:
A contrastive learning approach for individual re-identification in a wild fish population. - Sourav Mondal, Marco Ruffini:
Fairness Guaranteed and Auction-based x-haul and Cloud Resource Allocation in Multi-tenant O-RANs. - Shehab Eldeen Ayman Mounir:
Software engineering for mobile applications, a survey on challenges and solutions. - Hamed Vahdat-Nejad, Mohammad Ghasem Akbari, Fatemeh Salmani, Faezeh Azizi, Hamid Reza Nili Sani:
Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries. - Michael Hauck, Patrick Schmidt, Alexander Kobelski, Stefan Streif:
A map-based model predictive control approach for train operation. - Kaicheng Yang, Yuhan Wu, Ruijie Miao, Tong Yang, Zirui Liu, Zicang Xu, Rui Qiu, Yikai Zhao, Hanglong Lv, Zhigang Ji, Gaogang Xie:
ChameleMon: Shifting Measurement Attention as Network State Changes. - Masoud Dayani Najafabadi, Mohammad Reza Ahmadzadeh:
An Event-based Algorithm for Simultaneous 6-DOF Camera Pose Tracking and Mapping. - Arnav Varma, Elahe Arani, Bahram Zonooz:
Dynamically Modular and Sparse General Continual Learning. - Dor Tsur, Ziv Aharoni, Ziv Goldfeld, Haim H. Permuter:
Data-Driven Optimization of Directed Information over Discrete Alphabets. - Kun Zhao, Qian Gao, Siyuan Hao, Jie Sun, Lijian Zhou:
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images. - Matthias Barkowsky, Holger Giese:
Triple Graph Grammars for Multi-version Models. - Matthias Barkowsky, Holger Giese:
Modular and Incremental Global Model Management with Extended Generalized Discrimination Networks. - Alejandro Vigna-Gómez, Javier Murillo, Manelik Ramirez, Alberto Borbolla, Ian Márquez, Prasun K. Ray:
Design and analysis of tweet-based election models for the 2021 Mexican legislative election. - Tahereh Firoozi, Hamid Mohammadi, Mark J. Gierl:
Using Active Learning Methods to Strategically Select Essays for Automated Scoring. - Manuele Leonelli, Gherardo Varando:
Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear. - Gersende Fort, Eric Moulines:
Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization. - Verónica Becher, Olivier Carton:
Nested perfect toroidal arrays. - Xiao Xiong:
New Designed Loss Functions to Solve Ordinary Differential Equations with Artificial Neural Network. - Yuli Zhang, Shangbo Wang, Ruiyuan Jiang:
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach. - Yuanzheng Li, Shangyang He, Yang Li, Yang Shi, Zhigang Zeng:
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management. - Dikshant Gupta, Matthias Klusch:
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving. - Lasantha Thakshila Wedage, Bernard Butler, Sasitharan Balasubramaniam, Yevgeni Koucheryavy, Mehmet C. Vuran:
Comparative Analysis of Terahertz Propagation Under Dust Storm Conditions on Mars and Earth. - Nitin Gupta, Santosh Kumar Chaudhary:
On partial monotonicity of some extropy measures. - Rabimba Karanjai:
Targeted Phishing Campaigns using Large Scale Language Models. - Özgür Karadeniz, Bettina Berendt, Sercan Kiyak, Stefan Mertens, Leen D'Haenens:
Political representation bias in DBpedia and Wikidata as a challenge for downstream processing. - Akul Malhotra, Sumeet Kumar Gupta:
FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networks. - Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following. - Neeraj Vashistha, Kriti Singh, Ramakant Shakya:
Active Learning for Neural Machine Translation. - Maria Nesterova, Alexey Skrynnik, Aleksandr Panov:
Reinforcement Learning with Success Induced Task Prioritization. - (Withdrawn) Deep Recurrent Learning Through Long Short Term Memory and TOPSIS.
- Oh-Hun Kwon, Eduard Zell:
Image-Coupled Volume Propagation for Stereo Matching. - Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. - Mohamad H. Dinan, Marco Di Renzo, Mark F. Flanagan:
RIS-Assisted Receive Quadrature Spatial Modulation with Low-Complexity Greedy Detection. - Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma:
Tsetlin Machine Embedding: Representing Words Using Logical Expressions. - Stefan Machmeier:
Honeypot Implementation in a Cloud Environment. - Zihao Xiao, Alan L. Yuille, Yi-Ting Chen:
Learning Road Scene-level Representations via Semantic Region Prediction. - Felix Hamann, Adrian Ulges, Maurice Falk:
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale. - Deguang Kong, Miao Lu, Konstantin Shmakov, Jian Yang:
Robust Consensus Clustering and its Applications for Advertising Forecasting. - Yuval Moskovitch, Jinyang Li, H. V. Jagadish:
Detection of Groups with Biased Representation in Ranking. - Movahhed Sadeghi, Soheil Khadirsharbiyani, Mahmut Taylan Kandemir:
Quantum Circuit Resizing. - Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann:
Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. - Hao Chen, Yaohui Wang, Benoit Lagadec, Antitza Dantcheva, François Brémond:
Learning Invariance from Generated Variance for Unsupervised Person Re-identification. - Lin Yang, Bowen Yang, Haiwei Dong, Abdulmotaleb El-Saddik:
3-D Markerless Tracking of Human Gait by Geometric Trilateration of Multiple Kinects. - Quan Quan, Shuai Wang, Wenhan Gao:
Lifting-wing Quadcopter Modeling and Unified Control. - Dror Chawin, Ishay Haviv:
Improved NP-Hardness of Approximation for Orthogonality Dimension and Minrank. - Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann:
Training Differentially Private Graph Neural Networks with Random Walk Sampling. - Michele Barbato, Nicola Bianchessi:
On the Complexity of Sub-Tree Scheduling for Wireless Sensor Networks with Partial Coverage. - Shuangmei Wang, Rui Ma, Tieru Wu, Yang Cao:
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification. - Przemyslaw Koprowski:
Computing square roots in quaternion algebras. - Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman:
NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. - Sumit Shekhar, Max Reimann, Moritz Hilscher, Amir Semmo, Jürgen Döllner, Matthias Trapp:
Interactive Control over Temporal-consistency while Stylizing Video Streams. - Shoki Ohta, Takayuki Nishio, Riichi Kudo, Kahoko Takahashi, Hisashi Nagata:
Point Cloud-based Proactive Link Quality Prediction for Millimeter-wave Communications. - Reza Dastbasteh, Khalil Shivji:
Polynomial representation of additive cyclic codes and new quantum codes. - Nicola Prezza:
Algorithms for Massive Data - Lecture Notes. - Yunqi Wang, Yang Li, Qingjiang Shi, Yik-Chung Wu:
ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks. - Elise Grosjean, Bernd Simeon:
The non-intrusive reduced basis two-grid method applied to sensitivity analysis. - Christian Lenz, Sven Behnke:
Bimanual Telemanipulation with Force and Haptic Feedback through an Anthropomorphic Avatar System. - Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui:
A Survey on Federated Recommendation Systems. - Vitor T. Camacho, José Cruz:
Ontology-based Context Aware Recommender System Application for Tourism. - Harel Biggie, Eugene R. Rush, Danny G. Riley, Shakeeb Ahmad, Michael T. Ohradzansky, Kyle Harlow, Michael J. Miles, Daniel Torres, Steve McGuire, Eric W. Frew, Christoffer Heckman, J. Sean Humbert:
Flexible Supervised Autonomy for Exploration in Subterranean Environments. - Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu:
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis. - Elias Frantar, Dan Alistarh:
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot. - Huiping Huang, Linlong Wu, Bhavani Shankar, Abdelhak M. Zoubir:
Sparse Array Design for Dual-Function Radar-Communications System. - Francisco Valentini, Germán Rosati, Diego Fernández Slezak, Edgar Altszyler:
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings. - Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa:
STEPs: Self-Supervised Key Step Extraction from Unlabeled Procedural Videos. - Klaus Heeger, André Nichterlein, Rolf Niedermeier:
Parameterized Lower Bounds for Problems in P via Fine-Grained Cross-Compositions. - Purbesh Mitra, Sennur Ulukus:
Timely Opportunistic Gossiping in Dense Networks. - Manar D. Samad, Sakib Abrar, Mohammad Bataineh:
G-CEALS: Gaussian Cluster Embedding in Autoencoder Latent Space for Tabular Data Representation. - Kuang Huang, Qiang Du:
Asymptotically compatibility of a class of numerical schemes for a nonlocal traffic flow model. - Jianzong Wu, Xiangtai Li, Henghui Ding, Xia Li, Guangliang Cheng, Yunhai Tong, Chen Change Loy:
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation. - Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie:
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. - Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan:
SIRL: Similarity-based Implicit Representation Learning. - Erim Yanik, Steven D. Schwaitzberg, Gene Yang, Xavier Intes, Suvranu De:
One-shot domain adaptation in video-based assessment of surgical skills. - Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li:
A Survey on Protein Representation Learning: Retrospect and Prospect. - Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian:
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. - Zhongtao Chen, Chenghu Mi, Siwei Duo, Jingfei He, Yatong Zhou:
ClusTop: An unsupervised and integrated text clustering and topic extraction framework. - Syed Kazmi, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan:
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting. - Matthias Babel, Johannes Sedlmeir:
Bringing data minimization to digital wallets at scale with general-purpose zero-knowledge proofs. - C. Sean Burns:
The Issues with Journal Issues: Let Journals Be Digital Libraries. - Jian Chen, Manar H. Alalfi, Thomas R. Dean:
Timed Model-Based Mutation Operators for Simulink Models. - Vishweshwar V. Dixit:
Kannudi - A Reference Editor for Kannada. - Paul Topf Aguiar de Medeiros, Paul Njayou, Flavie Rometsch, Tommy Nilsson, Leonie Becker, Aidan Cowley:
Categorisation of future applications for Augmented Reality in human lunar exploration. - Xiaodong Wu:
Interaction design for socially assistive robots for people with developmental disabilities. - Gustavo Jorge Martins de Aguiar, Ramon Baptista Narcizo, Rodolfo Cardoso, Iara Tammela, Edwin Benito Mitacc Meza, Danilo Colombo, Luiz Antônio de Oliveira Chaves, Jamile Eleutério Delesposte:
Understanding the main failure scenarios of subsea blowout preventers systems: An approach through Latent Semantic Analysis. - Aleem Akhtar:
Popularity Ranking of Database Management Systems. - Soroush Alamdari:
Small-World Formation via Local Information. - Ferdinand Willemin:
Tweet's popularity dynamics. - Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Markov Decision Processes. - Taeyoung Kong, Kalhan Koul, Priyanka Raina, Mark Horowitz, Christopher Torng:
Hardware Abstractions and Hardware Mechanisms to Support Multi-Task Execution on Coarse-Grained Reconfigurable Arrays. - Alex C. Fish, Daniel R. Reynolds, Steven B. Roberts:
Implicit-Explicit Multirate Infinitesimal Stage-Restart Methods. - Seyed Saber Mohammadi, Nuno Ferreira Duarte, Dimitris Dimou, Yiming Wang, Matteo Taiana, Pietro Morerio, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, Alessio Del Bue, José Santos-Victor:
3DSGrasp: 3D Shape-Completion for Robotic Grasp. - Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan:
Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order. - Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks:
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. - Ruibo Wang, Mustafa A. Kishk, Mohamed-Slim Alouini:
Resident Population Density-Inspired Deployment of K-tier Aerial Cellular Network. - Cristian Daniel Alecsa:
OF-AE: Oblique Forest AutoEncoders. - Samaa Elnagar, Manoj A. Thomas, Kweku-Muata Osei-Bryson:
What is Cognitive Computing? An Architecture and State of The Art. - Habtamu Hailemichael, Beshah Ayalew, Lindsey Kerbel, Andrej Ivanco, Keith Loiselle:
Safety Filtering for Reinforcement Learning-based Adaptive Cruise Control. - Suncica Hadzidedic, Alexandra I. Cristea, Derrick G. Watson:
Effect of emotions and personalisation on cancer website reuse intentions. - Lee Milburn, Juan Gamba, Claudio Semini:
Towards Computer-Vision Based Vineyard Navigation for Quadruped Robots. - Samaa Elnagar, Manoj A. Thomas, Kweku-Muata Osei-Bryson:
SAFEMYRIDES: Application of Decentralized Control Edge-Computing to Ridesharing Monitoring Services. - Samiran Gode, Supreeth Bare, Bhiksha Raj, Hyungon Yoo:
Understanding Political Polarisation using Language Models: A dataset and method. - Herbert Jaeger, Francky Catthoor:
Timescales: the choreography of classical and unconventional computing. - Andrei Popescu:
Nominal Recursors as Epi-Recursors. - Xingxing Wei, Songping Wang, Huanqian Yan:
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos. - Marlene Grieskamp, Chaytan Inman, Shaun Lee:
Game of Intelligent Life. - Yuji Saikai, Allan S. Peake, Karine Chenu:
Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback. - Ran Tian, Masayoshi Tomizuka, Anca D. Dragan, Andrea Bajcsy:
Towards Modeling and Influencing the Dynamics of Human Learning. - Habtamu Hailemichael, Beshah Ayalew, Lindsey Kerbel, Andrej Ivanco, Keith Loiselle:
Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System. - Yaochen Zhu, Jing Ma, Jundong Li:
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization. - Arend Hintze, Christoph Adami:
Detecting Information Relays in Deep Neural Networks. - Yahao Ding, Zhaohui Yang, Quoc-Viet Pham, Zhaoyang Zhang, Mohammad Shikh-Bahaei:
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics. - Mohammad Abu Alsheikh:
Five Common Misconceptions About Privacy-Preserving Internet of Things. - Yijia Wang, Daniel R. Jiang:
Faster Approximate Dynamic Programming by Freezing Slow States. - Hunter Elliott:
Exploring Complex Dynamical Systems via Nonconvex Optimization. - Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin:
Improving Performance in Neural Networks by Dendrites-Activated Connections. - SM Zobaed:
AI-Driven Confidential Computing across Edge-to-Cloud Continuum. - Enhao Zhang, Maureen Daum, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna:
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]. - Nohyun Ki, Hoyong Choi, Hye Won Chung:
Data Valuation Without Training of a Model. - Haifeng Wen, Weijie Yuan, Zilong Liu, Shuangyang Li:
OTFS-SCMA: A Downlink NOMA Scheme for Massive Connectivity in High Mobility Channels. - Amirhossein Taghvaei, Prashant G. Mehta:
A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS). - Ilya Semenov, Robert Brown, Michael Otte:
Control and Dynamic Motion Planning for a Hybrid Air-Underwater Quadrotor: Minimizing Energy Use in a Flooded Cave Environment. - Emre Sariyildiz, Rahim Mutlu, Jon Roberts, Chin-Hsing Kuo, Barkan Ugurlu:
Design and Control of a Novel Variable Stiffness Series Elastic Actuator. - Deep Ray, Orazio Pinti, Assad A. Oberai:
Deep Learning and Computational Physics (Lecture Notes). - Musengamana Jean de Dieu, Peng Liang, Mojtaba Shahin, Arif Ali Khan:
Characterizing Architecture Related Posts and Their Usefulness in Stack Overflow. - Aritra Mitra, George J. Pappas, Hamed Hassani:
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. - Chaofeng Guan, Ruihu Li, Zhi Ma, Yang Liu:
On Euclidean, Hermitian and symplectic quasi-cyclic complementary dual codes. - Xiaoxuan Zhang, Zengfu Wang, Kun Lu, Quan Pan:
Data Augmentation and Classification of Sea-Land Clutter for Over-the-Horizon Radar Using AC-VAEGAN. - Jiwook Kim, Minhyeok Lee:
Class-Continuous Conditional Generative Neural Radiance Field. - Jingwei Huang:
Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shifts. - Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Dacheng Tao:
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation. - Yiwei Li, Shuai Wang, Chong-Yung Chi, Tony Q. S. Quek:
Differentially Private Federated Clustering over Non-IID Data. - Qiaofeng Li, Tianyi Wang, Vwani Roychowdhury, Mohammad Khalid Jawed:
Meta-learning generalizable dynamics from trajectories. - Abhiruph Chakravarty, Jatin Karthik Tripathy, S. Sibi Chakkaravarthy, Aswani Kumar Cherukuri, S. Anitha, Firuz Kamalov, Annapurna Jonnalagadda:
e-Inu: Simulating A Quadruped Robot With Emotional Sentience. - Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin:
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. - Ying Cao, Ruigang Liang, Kai Chen, Peiwei Hu:
Boosting Neural Networks to Decompile Optimized Binaries. - Xu Yan, Chaoda Zheng, Zhen Li, Shuguang Cui, Dengxin Dai:
Benchmarking the Robustness of LiDAR Semantic Segmentation Models. - Mingzhe Li, Xiuying Chen, Weiheng Liao, Yang Song, Tao Zhang, Dongyan Zhao, Rui Yan:
EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator. - Chandranath Adak, Tejas Karkera, Soumi Chattopadhyay, Muhammad Saqib:
Detecting Severity of Diabetic Retinopathy from Fundus Images using Ensembled Transformers. - Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei:
Surveillance Face Anti-spoofing. - Fangyu Li, Shenbao Yu, Feng Zeng, Fang Yang:
Effective and Efficient Training for Sequential Recommendation Using Cumulative Cross-Entropy Loss. - Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen:
Analogical Inference Enhanced Knowledge Graph Embedding. - Jonathan P. Mailoa, Zhaofeng Ye, Jiezhong Qiu, Chang-Yu Hsieh, Shengyu Zhang:
Protein-Ligand Complex Generator & Drug Screening via Tiered Tensor Transform. - Sirui Zhao, Huaying Tang, Xinglong Mao, Shifeng Liu, Hanqing Tao, Hao Wang, Tong Xu, Enhong Chen:
More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates. - Hasan Abed Al Kader Hammoud, Shuming Liu, Mohammad Alkhrashi, Fahad Albalawi, Bernard Ghanem:
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition. - Wei Xu:
AI in HCI Design and User Experience. - Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng:
A New Perspective to Boost Vision Transformer for Medical Image Classification. - Qifeng Zhang, Tong Yan, Guang-hua Gao:
The energy method for high-order invariants in shallow water wave equations. - Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke:
Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives. - Wentao Cai, Haosen Wen, Michael L. Scott:
Transactional Composition of Nonblocking Data Structures. - Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal:
Vocabulary-informed Zero-shot and Open-set Learning. - Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao:
Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling. - Guangjin Pan, Heng Zhang, Shugong Xu, Shunqing Zhang, Xiaojing Chen:
Joint Optimization of Video-based AI Inference Tasks in MEC-assisted Augmented Reality Systems. - Rudra Murthy V, Riyaz Bhat, R. Chulaka Gunasekara, Siva Sankalp Patel, Hui Wan, Tejas Indulal Dhamecha, Danish Contractor, Marina Danilevsky:
Semi-Structured Object Sequence Encoders. - Felipe Montana, Adam Hartwell, Will Jacobs, Visakan Kadirkamanathan, Andrew R. Mills, Tom Clark:
Through-life Monitoring of Resource-constrained Systems and Fleets. - Hayfa Tayeb, Ludovic Paillat, Bérenger Bramas:
Autovesk: Automatic vectorization of unstructured static kernels by graph transformations. - Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. - Sreepratha Ram, Hanan Aldarmaki:
Supervised Acoustic Embeddings And Their Transferability Across Languages. - Zhixuan Chu, Sheng Li:
Continual Treatment Effect Estimation: Challenges and Opportunities. - Vitalii Velychko, Svitlana Voinova, Valery Granyak, Liliia Ivanova, Sergii Kotlyk, Alona Kudriashova, Tetiana Kunup, Kyrylo Malakhov, Iryna Pikh, Nataliia Punchenko, Vsevolod Senkivskyy, Olexandra Sergeeva, Oksana Sokolova, Sergiy Fedosov, Oleksandr Khoshaba, Olexandra Tsyra, Yuri Chaplinskyy, Olexander Gurskiy, Kostiantyn Zavertailo, Diana Kotlyk:
New Information Technologies, Simulation and Automation. - Francesco Pelosin:
Dissecting Continual Learning a Structural and Data Analysis. - Hongliang Yuan, Boyu Zhang, Mingyan Zhu, Ligang Liu, Jue Wang:
High-Quality Supersampling via Mask-reinforced Deep Learning for Real-time Rendering. - Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald:
Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings. - Natalie Gentner, Gian Antonio Susto:
Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS). - Werner M. Seiler, Matthias Seiß:
On the Numerical Integration of Singular Initial and Boundary Value Problems for Generalised Lane-Emden and Thomas-Fermi Equations. - Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam:
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector. - Haolin Ruan, Zhi Chen, Chin Pang Ho:
Risk-Averse MDPs under Reward Ambiguity. - Zhiying Jiang, Rui Wang, Dongbo Bu, Ming Li:
A Theory of Human-Like Few-Shot Learning. - Niels Gleinig, Tal Ben-Nun, Torsten Hoefler:
A Theory of I/O-Efficient Sparse Neural Network Inference. - Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä:
BS3D: Building-scale 3D Reconstruction from RGB-D Images. - Shao-Di Wang, Hui-Ming Wang, Zhetao Li, Victor C. M. Leung:
Joint Space-Time Sparsity Based Jamming Detection for Mission-Critical mMTC Networks. - Feifei Shao, Yawei Luo, Shengjian Wu, Qiyi Li, Fei Gao, Yi Yang, Jun Xiao:
Further Improving Weakly-supervised Object Localization via Causal Knowledge Distillation. - Dinesh Nagumothu, Bahadorreza Ofoghi, Guangyan Huang, Peter W. Eklund:
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora. - Inmaculada Higueras, Teo Roldán:
A new insight on positivity and contractivity of the Crank-Nicolson scheme for the heat equation. - Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou:
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. - Jovan Blanusa, Kubilay Atasu, Paolo Ienne:
Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles. - Yifeng Ma, Suzhen Wang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Zhidong Deng, Xin Yu:
StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles. - Vahan Mkrtchyan:
Reducing Maximum Weighted Matching to the Largest Cardinality Matching in CONGEST. - Georgios Kopanas, Thomas Leimkühler, Gilles Rainer, Clément Jambon, George Drettakis:
Neural Point Catacaustics for Novel-View Synthesis of Reflections. - Boyuan Zheng, Jianlong Zhou, Chunjie Liu, Yiqiao Li, Fang Chen:
Explaining Imitation Learning through Frames. - YaChen Yan, Liubo Li:
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions. - Bing Yang, Jizeng Wang, Xiaojing Liu, Youhe Zhou:
High-order adaptive multiresolution wavelet upwind schemes for hyperbolic conservation laws. - Toni Taipalus:
Database management system performance comparisons: A systematic survey. - Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu:
Cluster-guided Contrastive Graph Clustering Network. - Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia:
Understanding Imbalanced Semantic Segmentation Through Neural Collapse. - Weiming Sun, Zimao Zhang:
Fourier series (based) multiscale method for computational analysis in science and engineering: VII. Fourier series multiscale solution for elastic bending of beams on Pasternak foundations. - Wei Xiong, Muyuan Ma, Ziyang Zhang, Pei Sun, Yang Tian:
KoopmanLab: machine learning for solving complex physics equations. - Yves-Cédric Bauwelinckx, Jan Dhaene, Tim Verdonck, Milan van den Heuvel:
On the causality-preservation capabilities of generative modelling. - Thanh Le-Cong, Duc-Minh Luong, Xuan-Bach Dinh Le, David Lo, Nhat-Hoa Tran, Bui Quang Huy, Quyet-Thang Huynh:
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning. - Daniel Engelsman, Itzik Klein:
Information Aided Navigation: A Review. - Chloé Boisson, Damien Jamet, Irène Marcovici:
On a probabilistic extension of the Oldenburger-Kolakoski sequence. - Shuhao Shi, Kai Qiao, Jian Chen, Shuai Yang, Jie Yang, Baojie Song, Linyuan Wang, Bin Yan:
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark. - Pratyush Dikshit, Jayasree Sengupta, Vaibhav Bajpai:
Recent Trends on Privacy-Preserving Technologies under Standardization at the IETF. - Khalid Alnajjar, Mika Hämäläinen, Shuo Zhang:
Ring That Bell: A Corpus and Method for Multimodal Metaphor Detection in Videos. - Wen Wu, Nan Cheng, Ning Zhang, Peng Yang, Khalid Aldubaikhy, Xuemin Shen:
Performance Analysis and Enhancement of Beamforming Training in 802.11ad. - Wen Wu, Ning Zhang, Nan Cheng, Yujie Tang, Khalid Aldubaikhy, Xuemin Shen:
Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching. - Tianyuan Zou, Yang Liu, Ya-Qin Zhang:
Mutual Information Regularization for Vertical Federated Learning. - Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, Gustavo Carneiro:
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. - Joseph Saverin:
SailFFish: A Lightweight, Parallelised Fast Poisson Solver Library. - Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang:
Rethinking Mobile Block for Efficient Neural Models. - Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers:
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions. - Kingsley Nweye, Siva Sankaranarayanan, Zoltán Nagy:
MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn. - Haoyu Ma, Xiangru Lin, Yizhou Yu:
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. - Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li:
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. - Yue Han, Jiangning Zhang, Zhucun Xue, Chao Xu, Xintian Shen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li:
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation. - Charlie Hewitt, Tadas Baltrusaitis, Erroll Wood, Lohit Petikam, Louis Florentin, Hanz Cuevas-Velasquez:
Procedural Humans for Computer Vision. - Li Zhang, Chris Callison-Burch:
Language Models are Drummers: Drum Composition with Natural Language Pre-Training. - Francesco Lo Iudice, Ricardo Cardona Rivera, Antonio Grotta, Marco Coraggio, Mario di Bernardo:
Consensus-based Distributed Intentional Controlled Islanding of Power Grids. - Yuval Solaz, Vitaly Shalumov:
Transformer Based Geocoding. - Haodi Ma, Daisy Zhe Wang:
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge. - Francesco Lombardo, Stefano Salsano, Ahmed Abdelsalam, Daniel Bernier, Clarence Filsfils:
Extending Kubernetes Networking to make use of Segment Routing over IPv6 (SRv6). - Michael J. Carley:
A Fast Multipole Method for axisymmetric domains. - John J. Nay:
Large Language Models as Corporate Lobbyists. - Marek Gagolewski:
Deep R Programming. - Cyril R. Pernet, Claus Svarer, Ross Blair, John D. Van Horn, Russell A. Poldrack:
On the long-term archiving of research data. - Carlos Bernal-Cárdenas, Nathan Cooper, Madeleine Havranek, Kevin Moran, Oscar Chaparro, Denys Poshyvanyk, Andrian Marcus:
Translating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios. - Rafael C. Carrasco, Gustavo Candela Romero, Manuel Marco Such:
Measuring the diversity of data and metadata in digital libraries. - Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang:
Backdoor Attacks Against Dataset Distillation. - Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel:
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications. - Ethan Goan, Clinton Fookes:
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems. - Fang Chen, Heiko Balzter, Feixiang Zhou, Peng Ren, Huiyu Zhou:
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation. - David Theodor Machacek, Stijn van Dooren, Thomas Huber, Christopher Harald Onder:
Learning-Based Model Predictive Control for the Energy Management of Hybrid Electric Vehicles Including Driving Mode Decisions. - Gang Chen:
Speed up the inference of diffusion models via shortcut MCMC sampling. - Siyu Jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao, Yunchao Wei, Humphrey Shi:
Mask Matching Transformer for Few-Shot Segmentation. - David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable Adaptive Regularization Techniques for B-Spline Modeling. - Boqi Chen, Kevin Thandiackal, Pushpak Pati, Orcun Goksel:
Generative appearance replay for continual unsupervised domain adaptation. - Georgia Papacharalampous, Hristos Tyralis, Anastasios D. Doulamis, Nikolaos Doulamis:
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale. - Xiaofa Liu, Jianqin Yin, Yuan Sun, Zhicheng Zhang, Jin Tang:
An end-to-end multi-scale network for action prediction in videos. - Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yugang Jiang, Yaowei Wang, Changsheng Xu:
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples. - Han Fang, Jiyi Zhang, Yupeng Qiu, Ke Xu, Chengfang Fang, Ee-Chien Chang:
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence. - Franck Djeumou, Christian Ellis, Murat Cubuktepe, Craig Lennon, Ufuk Topcu:
Task-Guided IRL in POMDPs that Scales. - Vesal Ahsani, Ali Rahimi, Mehdi Letafati, Babak Hossein Khalaj:
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain. - Lu Jiang, Yuanhan Li, Na Luo, Jianan Wang, Qiao Ning:
A Multi-Source Information Learning Framework for Airbnb Price Prediction. - Tianzuo Luo, Yuyi Zhong, Siau-Cheng Khoo:
ExploreADV: Towards exploratory attack for Neural Networks. - Kevin Moran, Ali Yachnes, George Purnell, Junayed Mahmud, Michele Tufano, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Zach H'Doubler:
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation. - You-Qi Zhao, Cheng-Yu Pai, Zhen-Ming Huang, Zilong Liu, Chao-Yu Chen:
Two-Dimensional Golay Complementary Array Sets With Arbitrary Lengths for Omnidirectional MIMO Transmission. - Lars Vogt, Tobias Kuhn, Robert Hoehndorf:
Semantic Units: Organizing knowledge graphs into semantically meaningful units of representation. - Eujeong Choi, Chanjun Park:
DMOps: Data Management Operation and Recipes. - Tung Nguyen, Mona Bavarian:
Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios. - Yousuf Baker, Ningkun Zheng, Bolun Xu:
Transferable Energy Storage Bidder. - Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol:
AmbieGen: A Search-based Framework for Autonomous Systems Testing. - Jack Johnson, Junayed Mahmud, Tyler Wendland, Kevin Moran, Julia Rubin, Mattia Fazzini:
An Empirical Investigation into the Reproduction of Bug Reports for Android Apps. - Bassem Dahroug, Brahim Tamadazte, Nicolas Andreff:
Safe Path following for Middle Ear Surgery. - Soheil Zibakhsh Shabgahi, Seyed Mahdi Hosseini, Seyed Pooya Shariatpanahi, Behnam Bahrak:
Modeling Effective Lifespan of Payment Channels. - Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar:
RegTraffic: A Regression Based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization. - (Withdrawn) Optimizing Agent Collaboration through Heuristic Multi-Agent Planning.
- Hiroshi Watanabe:
On coexistence of decentralized system (blockchain) and central management in Internet-of-Things. - Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui:
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown. - Ahmed Ibnoulouafi, Mohamed El Haziti, Hocine Cherifi:
M-Centrality: identifying key nodes based on global position and local degree variation. - Yehia Abd Alrahman, Nir Piterman:
Correct-by-Design Teamwork Plans for Multi-Agent Systems. - Davide Corradini, Michele Pasqua, Mariano Ceccato:
Automated Black-box Testing of Mass Assignment Vulnerabilities in RESTful APIs. - Matús Pikuliak, Marián Simko:
Average Is Not Enough: Caveats of Multilingual Evaluation. - Zhiyong Sun:
A gallery of diagonal stability conditions with structured matrices (and review papers). - Yanlin Zhang, Liqiao Yang, Kit Ian Kou, Yang Liu:
Fixed-time synchronization for quaternion-valued memristor-based neural networks with mixed delays. - Subhankar Banerjee, Sennur Ulukus, Anthony Ephremides:
Age of Information of a Power Constrained Scheduler in the Presence of a Power Constrained Adversary. - Ana Maria Acu, Ioan Rasa:
An asymptotic formula for Aldaz-Kounchev-Render operators on the hypercube. - Krishnan Shankar:
RSA+: An algorithm at least as secure as RSA. - Junjie Yan, Yingfei Liu, Jianjian Sun, Fan Jia, Shuailin Li, Tiancai Wang, Xiangyu Zhang:
Cross Modal Transformer via Coordinates Encoding for 3D Object Dectection. - Arash Ahmadian, Yue Fei, Louis S. P. Liu, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space. - Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu:
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. - (Withdrawn) Contextual Conservative Q-Learning for Offline Reinforcement Learning.
- Bingyan Liu, Nuoyan Lv, Yuanchun Guo, Yawen Li:
Recent Advances on Federated Learning: A Systematic Survey. - Jackson Borchardt, Saul Kato:
Implicitization of Biquadratic Bézier Triangle and Quadrilateral Surfaces. - Bryce Doerr, Keenan Albee, Monica Ekal, Rodrigo M. M. Ventura, Richard Linares:
The ReSWARM Microgravity Flight Experiments: Planning, Control, and Model Estimation for On-Orbit Close Proximity Operations. - Shie Mannor, Aviv Tamar:
Towards Deployable RL - What's Broken with RL Research and a Potential Fix. - Santiago Cuéllar, Bill Harris, James Parker, Stuart Pernsteiner, Eran Tromer:
Cheesecloth: Zero-Knowledge Proofs of Real-World Vulnerabilities. - Hadi Hosseini, Justin Payan, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan:
Graphical House Allocation. - Palle E. T. Jorgensen, Myung-Sin Song, James Tian:
Operator theory, kernels, and Feedforward Neural Networks. - Jianhui Li, Zhennan Qin, Yijie Mei, Jingze Cui, Yunfei Song, Ciyong Chen, Yifei Zhang, Longsheng Du, Xianhang Cheng, Baihui Jin, Jason Ye, Eric Lin, Dan Lavery:
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation. - Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu:
Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. - Jian-Guo Liu, Zibu Liu:
Diffusion approximations of Oja's online principal component analysis. - Jindong Gu:
Explainability and Robustness of Deep Visual Classification Models. - Akash Haridas, Karim Hamadeh, Samarendra Chandan Bindu Dash:
DADAgger: Disagreement-Augmented Dataset Aggregation. - Chongyang Shi, Shuo Han, Jie Fu:
Quantitative Planning with Action Deception in Concurrent Stochastic Games. - Shreyansh Daftry, Zhanlin Chen, Yang Cheng, Scott Tepsuporn, Brian Coltin, Ussama Naam, Lanssie Mingyue Ma, Shehryar Khattak, Matthew Deans, Larry H. Matthies:
LunarNav: Crater-based Localization for Long-range Autonomous Lunar Rover Navigation. - Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer. - Xiaojun Dong, Letong Wang, Yan Gu, Yihan Sun:
Provably Fast and Space-Efficient Parallel Biconnectivity. - Sissi Jiang, Ndiamé Ndiaye, Adrian Vetta, Eggie Wu:
The Price of Anarchy in One-Sided Allocation Problems with Multi-Unit Demand Agents. - Sükrü Selim Çalik, Ayhan Kucukmanisa, Zeynep Hilal Kilimci:
An ensemble-based framework for mispronunciation detection of Arabic phonemes. - Sanjeevan Ahilan:
A Succinct Summary of Reinforcement Learning. - Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani:
Ego-Only: Egocentric Action Detection without Exocentric Pretraining. - Kazuhiro Sasabuchi, Daichi Saito, Atsushi Kanehira, Naoki Wake, Jun Takamatsu, Katsushi Ikeuchi:
Task-sequencing Simulator: Integrated Machine Learning to Execution Simulation for Robot Manipulation. - Sebastian Johann Wetzel:
How to get the most out of Twinned Regression Methods. - Daniel Shin, Anca D. Dragan, Daniel S. Brown:
Benchmarks and Algorithms for Offline Preference-Based Reward Learning. - Ronak Buch:
COST of Graph Processing Using Actors. - Tuur Stuyck:
DiffXPBD : Differentiable Position-Based Simulation of Compliant Constraint Dynamics. - Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. - Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Task Weighting in Meta-learning with Trajectory Optimisation. - Xiaoli Li, Jie Shen:
Error estimate of a consistent splitting GSAV scheme for the Navier-Stokes equations. - Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang:
Neighbor Contrastive Learning on Learnable Graph Augmentation. - Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. - Xiangxiang Xu, Lizhong Zheng:
Kernel Subspace and Feature Extraction. - Yuren Cong, Martin Renqiang Min, Li Erran Li, Bodo Rosenhahn, Michael Ying Yang:
Attribute-Centric Compositional Text-to-Image Generation. - Yingqiang Qiu, Wanli Peng, Xiaodan Lin, Huanqiang Zeng, Zhenxing Qian:
Improved CNN Prediction Based Reversible Data Hiding. - Zhaohui Yang, Mingzhe Chen, Gaolei Li, Yang Yang, Zhaoyang Zhang:
Secure Semantic Communications: Fundamentals and Challenges. - Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu:
Scene Synthesis from Human Motion. - Ming Tang, Xiaoqing Xing, Ying Yang, Liuqiang Zhong:
Iterative two-level algorithm for nonsymmetric or indefinite elliptic problems. - Fengna Yan, Jaap J. W. van der Vegt, Yinhua Xia, Yan Xu:
Entropy dissipative higher order accurate positivity preserving time-implicit discretizations for nonlinear degenerate parabolic equations. - Yiting Chen, Ana M. Ospina, Fabio Pasqualetti, Emiliano Dall'Anese:
Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems. - Haojie Yu, Kang Zhao, Xiaoming Xu:
Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers. - Jesse Geneson, Ethan Zhou:
Online Learning of Smooth Functions. - K. Liu, M. Tang, X. Q. Xing, L. Q. Zhong:
Convergence of Adaptive Mixed Interior Penalty Discontinuous Galerkin Methods for H(curl)-Elliptic Problems. - Hao Chen, Weiwei Wan, Masaki Matsushita, Takeyuki Kotaka, Kensuke Harada:
Automatically Prepare Training Data for YOLO Using Robotic In-Hand Observation and Synthesis. - Enci Liu, Chenlin Meng, Matthew Kolodner, Eun Jee Sung, Sihang Chen, Marshall Burke, David B. Lobell, Stefano Ermon:
Building Coverage Estimation with Low-resolution Remote Sensing Imagery. - Alexander Ororbia, Ankur Arjun Mali:
The Predictive Forward-Forward Algorithm. - Guyue Li, Hongyi Luo, Jiabao Yu, Aiqun Hu, Jiangzhou Wang:
Information-Theoretic Secure Key Sharing for Wide-Area Mobile Applications. - Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. - Maxime Burchi, Radu Timofte:
Audio-Visual Efficient Conformer for Robust Speech Recognition. - Xun Gong, Xiaozhe Wang:
A Novel Koopman-Inspired Method for the Secondary Control of Microgrids with Grid-Forming and Grid-Following Sources. - K. B. J. Anuradha, Chathurika P. Mediwaththe:
A Stochastic Multi-Objective Optimization Framework for Planning and Scheduling of Community Energy Storage Systems. - Hyunki Seong, Chanyoung Chung, David Hyunchul Shim:
Data-Driven Model Identification via Hyperparameter Optimization for Autonomous Racing Systems. - Rebecca Lin, Craig S. Kaplan:
Freeform Islamic Geometric Patterns. - Peiyuan Si, Wenhan Yu, Jun Zhao, Kwok-Yan Lam, Qing Yang:
UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach. - Franco Galante, Luca Vassio, Michele Garetto, Emilio Leonardi:
Modeling communication asymmetry and algorithmic personalization in online social networks. - Wenlong Deng, Yuan Zhong, Qi Dou, Xiaoxiao Li:
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations. - Yunfeng Li, Bo Wang, Ye Li, Wei Huo, Zhuoyan Liu:
Motion-based Post-Processing: Using Kalman Filter to Exclude Similar Targets in Underwater Object Tracking. - Pablo Valle, Aitor Arrieta, Maite Arratibel:
Automated Misconfiguration Repair of Configurable Cyber-Physical Systems with Search: an Industrial Case Study on Elevator Dispatching Algorithms. - Ryan Boldi, Martin Briesch, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector:
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving. - Philipp Ladwig, Rene Ebertowski, Alexander Pech, Ralf Dörner, Christian Geiger:
Towards a Pipeline for Real-Time Visualization of Faces for VR-based Telepresence and Live Broadcasting Utilizing Neural Rendering. - Adam Sky, Ingo Münch, Gianluca Rizzi, Patrizio Neff:
Higher order Bernstein-Bézier and Nédélec finite elements for the relaxed micromorphic model. - Pavel Loskot:
A Pulse-Shape Binary Multiplex Modulation. - Takaaki Fukai, Kento Sato, Takahiro Hirofuchi:
Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning. - A. V. Subramanyam:
Beckman Defense. - Jaroslaw Legierski, Kajetan Rachwal, Piotr Sowinski, Wojciech Niewolski, Przemyslaw Ratuszek, Zbigniew Kopertowski, Marcin Paprzycki, Maria Ganzha:
Towards Edge-Cloud Architectures for Personal Protective Equipment Detection. - Daniel Nüst, Gazi Yücel, Anette Cordts, Christian Hauschke:
Enriching the scholarly metadata commons with citation metadata and spatio-temporal metadata to support responsible research assessment and research discovery. - Stephan Wiefling, Jan Tolsdorf, Luigi Lo Iacono:
Privacy Considerations for Risk-Based Authentication Systems. - Tábitha Esteves Rosa, Bayu Jayawardhana:
Data-driven dissipative verification of LTI systems: multiple shots of data, QDF supply-rate and application to a planar manipulator. - Andrea Russo:
Organised Firestorm as strategy for business cyber-attacks. - Cássio F. Dantas, Diego Marcos, Dino Ienco:
Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. - Mohammed Touati, Nouzha Lamdouar, Chakir Tajani:
Dynamic Behavior of a Railway Track Under a Moving Wheel Load Modelled as a Sinusoidal Pulse. - Thom S. Badings, Licio Romao, Alessandro Abate, David Parker, Hasan A. Poonawala, Mariëlle Stoelinga, Nils Jansen:
Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions. - Kristóf Bérczi, Laura Codazzi, Julian Golak, Alexander Grigoriev:
Envy-free dynamic pricing schemes. - Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim:
MoBYv2AL: Self-supervised Active Learning for Image Classification. - Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal:
Federated Learning for Data Streams. - Haoran Zhao, Yinghao Zhang, Debo Cheng, Chen Li, Zaiwen Feng:
Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation. - Ming Tang, Xiaoqing Xing, Liuqiang Zhong:
A Posterior Error Estimator for Mixed Interior Penalty Discontinuous Galerkin Finite Element Method for the H(curl)-Elliptic Problems. - Feiyang Tang, Bjarte M. Østvold, Magiel Bruntink:
Identifying Personal Data Processing for Code Review. - Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi:
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. - Gwénaël Richomme, Matthieu Rosenfeld:
Reconstructing words using queries on subwords or factors. - Mengyuan Zhang, Kai Liu:
Multi-Task Learning with Prior Information. - Ido Glanz, Matan Weksler, Erez Karpas, Tzipi Horowitz-Kraus:
Robofriend: An Adpative Storytelling Robotic Teddy Bear - Technical Report. - Bob L. T. Sturm, Arthur Flexer:
Validity in Music Information Research Experiments. - Xiaolei Lu:
Learning Ambiguity from Crowd Sequential Annotations. - Matthias Mitterreiter, Marcel Koch, Joachim Giesen, Sören Laue:
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption. - Hugo Daniel Scolnik, Juan Pedro Hecht:
Post-Quantum Key Agreement Protocol based on Non-Square Integer Matrices. - Isa Inuwa-Dutse:
FATE in AI: Towards Algorithmic Inclusivity and Accessibility. - Sirajum Munir, Hongkai Chen, Shiwei Fang, Mahathir Monjur, Shan Lin, Shahriar Nirjon:
CarFi: Rider Localization Using Wi-Fi CSI. - Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin:
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. - Osama Maqbool, Jürgen Roßmann:
Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations. - Jun-En Ding, Chih-Ho Hsu, Kuan-Chia Ling, Ling Chen, Fang-Ming Hung:
Hospital transfer risk prediction for COVID-19 patients from a medicalized hotel based on Diffusion GraphSAGE. - Tsvetan Zhivkov, Elizabeth I. Sklar:
5G on the Farm: Evaluating Wireless Network Capabilities for Agricultural Robotics. - Nabeel Gillani, Rebecca Eynon, Catherine Chiabaut, Kelsey Finkel:
Unpacking the "Black Box" of AI in Education. - Aris Filos-Ratsikas, Panagiotis Kanellopoulos, Alexandros A. Voudouris, Rongsen Zhang:
Settling the Distortion of Distributed Facility Location. - Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton:
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. - Hanmo Chen, Stone Tao, Jiaxin Chen, Weihan Shen, Xihui Li, Chenghui Yu, Sikai Cheng, Xiaolong Zhu, Xiu Li:
Emergent collective intelligence from massive-agent cooperation and competition. - Zhe Liu, Xiaoqing Ye, Xiao Tan, Errui Ding, Xiang Bai:
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection. - Pavlos Papadopoulos, William J. Buchanan, Sarwar Sayeed, Nikolaos Pitropakis:
Towards The Creation Of The Future Fish Farm. - Xiaoying Mou, Haiming Chen:
Grammar construction methods for extended deterministic expressions. - Arsham Mostaani, Thang X. Vu, Symeon Chatzinotas, Björn E. Ottersten:
Task-Effective Compression of Observations for the Centralized Control of a Multi-agent System Over Bit-Budgeted Channels. - Emiliano Staffoli, Mattia Mancinelli, Paolo Bettotti, Lorenzo Pavesi:
Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network. - Spyros Angelopoulos, Shahin Kamali:
Rényi-Ulam Games and Online Computation with Imperfect Advice. - Yuliang Liu, Jiaxin Zhang, Dezhi Peng, Mingxin Huang, Xinyu Wang, Jingqun Tang, Can Huang, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin:
SPTS v2: Single-Point Scene Text Spotting. - Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. - Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia:
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats. - Sarah Jane Hamilton, Peter A. Muller, David Isaacson, Ville Kolehmainen, Jonathan C. Newell, Omid Rajabi Shishvan, Gary J. Saulnier, Jussi Toivanen:
Fast Absolute 3D CGO-Based Electrical Impedance Tomography on Experimental Tank Data. - Oliver W. Gnilke, Jens Zumbrägel:
Cryptographic Group and Semigroup Actions. - Kang Liao, Lang Nie, Chunyu Lin, Zishuo Zheng, Yao Zhao:
RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning. - Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. - T. H. B. Demont, Stein K. F. Stoter, E. H. van Brummelen:
Numerical investigation of the sharp-interface limit of the Navier-Stokes-Cahn-Hilliard equations. - Shambhuraj Sawant, Akhil S. Anand, Dirk Reinhardt, Sebastien Gros:
Learning-based MPC from Big Data Using Reinforcement Learning. - Pari J. Kundaliya, Sudhakar Chaudhary:
Symmetric fractional order reduction method with L1 scheme on graded mesh for time fractional nonlocal diffusion-wave equation of Kirchhoff type. - F. V. Krasnova, I. S. Smaznevicha, E. N. Baskakova:
Text sampling strategies for predicting missing bibliographic links. - Prerona Chatterjee, Pavel Hrubes:
New Lower Bounds against Homogeneous Non-Commutative Circuits. - Arezou Rahimi, Luís A. Vale Silva, Maria Faelth Savitski, Jovan Tanevski, Julio Saez-Rodriguez:
DOT: Fast Cell Type Decomposition of Spatial Omics by Optimal Transport. - Thomas Powell:
Proofs as stateful programs: A first-order logic with abstract Hoare triples, and an interpretation into an imperative language. - Leslie Ann Goldberg, Marc Roth:
Parameterised and Fine-grained Subgraph Counting, modulo 2. - Kanstantsin Pashkovich, Alice Sayutina:
Non-Adaptive Matroid Prophet Inequalities. - Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries. - Philip Sun, Ruiqi Guo, Sanjiv Kumar:
Automating Nearest Neighbor Search Configuration with Constrained Optimization. - Yiming Huo, Xingqin Lin, Boya Di, Hongliang Zhang, Francisco Javier Lorca Hernando, Ahmet Serdar Tan, Shahid Mumtaz, Özlem Tugfe Demir, Kun Chen Hu:
Technology Trends for Massive MIMO towards 6G. - Lee Milburn, John Chiaramonte, Jack Fenton:
Error Tolerant Multi-Robot System for Roadside Trash Collection. - Benjamin Maschler:
A Survey on Deep Industrial Transfer Learning in Fault Prognostics. - Anna V. Korolkova, Migran N. Gevorkyan, Dmitry S. Kulyabov:
Implementation of hyperbolic complex numbers in Julia language. - Rubi Melania Coasaca Callacondo, Grylia Yaneth Chata Iscarra, Fred Torres-Cruz:
Optimization of the Analysis of Vital Events Using Threads. - Radek Svitak, Václav Skala:
Robust Surface Reconstruction from Orthogonal Slices. - Jan Patera, Václav Skala:
A Comparison of Fundamental Methods for Iso-surface Extraction. - Victor Zucatti, Matthew J. Zahr:
An adaptive, training-free reduced-order model for convection-dominated problems based on hybrid snapshots. - Jakub Maksymilian Fober:
Radiance Textures for Rasterizing Ray-Traced Data. - Sandra Wilfling:
Augmenting data-driven models for energy systems through feature engineering: A Python framework for feature engineering. - Xiao Zang, Jie Chen, Bo Yuan:
GUAP: Graph Universal Attack Through Adversarial Patching. - Ziwei Fan, Alice Wang, Zahra Nazari:
Episodes Discovery Recommendation with Multi-Source Augmentations. - Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi:
Graph state-space models. - Alexandros A. Voudouris:
Tight Distortion Bounds for Distributed Single-Winner Metric Voting on a Line. - David Noever, Forrest McKee:
Chatbots as Problem Solvers: Playing Twenty Questions with Role Reversals. - Monika Henzinger, Stefan Neumann, Harald Räcke, Stefan Schmid:
Dynamic Maintenance of Monotone Dynamic Programs and Applications. - Natalie Lawrance, Marie-Anne Guerry, George Petrides:
Cost-Sensitive Stacking: an Empirical Evaluation. - Justin Reppert, Ben Rachbach, Charlie George, Luke Stebbing, JungWon Byun, Maggie Appleton, Andreas Stuhlmüller:
Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes. - Yann-Meing Law, Daniel Appelö, Thomas M. Hagstrom:
The Hermite-Taylor Correction Function Method for Embedded Boundary and Maxwell's Interface Problems. - Alexander S. Glasser, Hong Qin:
Generalizing Yee's method: Scalable geometric higher-order FEEC algorithms for Maxwell's equations on an unstructured mesh. - Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing: A Survey. - Navidreza Asadi, Maziar Goudarzi:
An Ensemble Mobile-Cloud Computing Method for Affordable and Accurate Glucometer Readout. - Ali Siddique, Cunzhi Zhao, Xingpeng Li:
Microgrid Optimal Energy Scheduling with Risk Analysis. - Samuel S. Donovan, M. Drew LaMar:
Using Science Education Gateways to improve undergraduate STEM education: The QUBES Platform as a case study. - Yujie Lin, Zhumin Chen, Zhaochun Ren, Chenyang Wang, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
Modeling Sequential Recommendation as Missing Information Imputation. - Dennis Aumiller, Michael Gertz:
UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification? - Chao Feng, Ziyang Chen, Andrew Owens:
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection. - Jochen Hartmann, Jasper Schwenzow, Maximilian Witte:
The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation. - Sibi Chakkaravarthy Sethuraman, Aditya Mitra, Anisha Ghosh, Gautam Galada, Anitha Subramanian:
MetaSecure: A Passwordless Authentication for the Metaverse. - Mehdi Moeinaddini, Mozhgan Pourmoradnasseri, Amnir Hadachi, Mario Cools:
Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes. - Peiwang Tang, Xianchao Zhang:
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem. - Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic, Yi Wen, Baixue Zheng, Baishan Guo, Rui Wang, Aaron Marquez, Rama Kovvuri, Abhishek Kadian, Amir Mousavi, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan:
PACO: Parts and Attributes of Common Objects. - Kaiyi Ji, Lei Ying:
Network Utility Maximization with Unknown Utility Functions: A Distributed, Data-Driven Bilevel Optimization Approach. - Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng:
MonoEdge: Monocular 3D Object Detection Using Local Perspectives. - Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele:
Unsupervised Manifold Linearizing and Clustering. - Isaac Tamblyn, Tengkai Yu, Ian Benlolo:
fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems. - Adar Kahana, Oren Elisha:
MessageNet: Message Classification using Natural Language Processing and Meta-data. - Jared Gridley, Oshani Seneviratne:
Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses. - Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Markus Keller, Alan Fern:
Multi-Task Learning for Budbreak Prediction. - Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu:
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. - Mark Ainsworth, Charles Parker:
Statically Condensed Iterated Penalty Method for High Order Finite Element Discretizations of Incompressible Flow. - Ashwin Srinivasan, Michael Bain, A. Baskar, Enrico W. Coiera:
A Protocol for Intelligible Interaction Between Agents That Learn and Explain. - Vitor Jeronymo, Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Frassetto Nogueira:
InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval. - Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang:
Parameter-Efficient Fine-Tuning Design Spaces. - Zongshun Zhang, Andrea Pinto, Valeria Turina, Flavio Esposito, Ibrahim Matta:
Privacy and Efficiency of Communications in Federated Split Learning. - Danjie Zhu, Lei Wang, Hua Zhang, Simon X. Yang:
A GOA-Based Fault-Tolerant Trajectory Tracking Control for an Underwater Vehicle of Multi-Thruster System without Actuator Saturation. - Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts:
On Sequential Bayesian Inference for Continual Learning. - Juan-Ni Wu, Tong Wang, Yue Chen, Li-Juan Tang, Hai-Long Wu, Ru-Qin Yu:
Fragment-based t-SMILES for de novo molecular generation. - Wangkun Xu, Fei Teng:
Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting. - Aristides I. Kechriniotis, Konstantinos K. Delibasis, Iro P. Oikonomou, Georgios N. Tsigaridas:
Classical multivariate Hermite coordinate interpolation in n-dimensional grid. - Benjamin Habib, Elvin Isufi, Ward van Breda, Arjen Jongepier, Jochen L. Cremer:
Deep Statistical Solver for Distribution System State Estimation. - Erman Acar, Andrea De Domenico, Krishna Manoorkar, Mattia Panettiere:
A Meta-Learning Algorithm for Interrogative Agendas. - Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin:
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. - Martin Röhlig, Lars Nonnemann, Hans-Jörg Schulz, Oliver Stachs, Heidrun Schumann:
Towards a Unified User Interface for Visual Analysis of Retinal Data in Ophthalmology. - Tsz Chung Wong, Abubakar Sani-Mohammed, Wei Yao, Marco Heurich:
Automatic Classification of Single Tree Decay Stages from Combined ALS Data and Aerial Imagery using Machine Learning. - Tianyuan Huang, Timothy Dai, Zhecheng Wang, Hesu Yoon, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, Jackelyn Hwang:
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data. - Ilya Vorobyev, Alexey S. Lebedev, Vladimir S. Lebedev, Christian Deppe:
Correcting one error in channels with feedback. - Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter:
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. - Hong-Yan Zhang, Yu Zhou, Fu-Yun Li:
An Automatic Method for Generating Symbolic Expressions of Zernike Circular Polynomials. - Denis Osipychev, Dragos D. Margineantu, Girish Chowdhary:
Reinforcement Learning-Based Air Traffic Deconfliction. - Paul Geertsema, Helen Lu:
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights. - Yingxiang Liu, Mohammad Razeghi-Jahromi, James Stoupis:
Unsupervised High Impedance Fault Detection Using Autoencoder and Principal Component Analysis. - Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng:
Hypotheses Tree Building for One-Shot Temporal Sentence Localization. - Lorena Piedras, Lucas Rosenblatt, Julia Wilkins:
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI. - Zhenkun Zhou, Mengli Yu, Yuxin He, Xingyu Peng:
When Cyber Aggression Prediction Meets BERT on Social Media. - Boqiang Xu, Lingxiao He, Jian Liang, Zhenan Sun:
Learning Feature Recovery Transformer for Occluded Person Re-identification. - Fei He, Haoyang Zhang, Naiyu Gao, Jian Jia, Yanhu Shan, Xin Zhao, Kaiqi Huang:
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation. - Ridha Ghayoula, Jaouhar Fattahi, Amor Smida, Issam El Gmati, Emil Pricop, Marwa Ziadia:
FPGA Implementation of SIMON-128 Cryptographic Algorithm Using Artix-7. - Vojtech Havlena, Ondrej Lengál, Yong Li, Barbora Smahlíková, Andrea Turrini:
Modular Mix-and-Match Complementation of Büchi Automata (Technical Report). - Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang:
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. - Anthony Vanky, Ri Le:
Urban-Semantic Computer Vision: A Framework for Contextual Understanding of People in Urban Spaces. - Guanxun Li, Guang Lin, Zecheng Zhang, Quan Zhou:
Fast Replica Exchange Stochastic Gradient Langevin Dynamics. - Jamison R. Ebert, Jean-François Chamberland, Krishna R. Narayanan:
On Sparse Regression LDPC Codes. - Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Nassim Dehouche, Kullathida Dehouche:
What is in a Text-to-Image Prompt: The Potential of Stable Diffusion in Visual Arts Education. - Roberto Bacani Figueroa Jr., Florinda Amparo Adarayan Palma Gil, Hiroshi Taniguchi:
Piloting Virtual Reality Photo-Based Tours among Students of a Filipino Language Class: A Case of Emergency Remote Teaching in Japan. - Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Zeng Yi:
FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks. - Jinze Liu, Minzhe Li, Jiunn-Kai Huang, Jessy W. Grizzle:
Realtime Safety Control for Bipedal Robots to Avoid Multiple Obstacles via CLF-CBF Constraints. - Roberto Bacani Figueroa Jr., Florinda Amparo Palma Gil, Hiroshi Taniguchi, Joshze Rica Esguerra:
Virtual Reality Photo-based Tours for Teaching Filipino Vocabulary in an Online Class in Japan: Transitioning into the New Normal. - Tom Marty, Tristan François, Pierre Tessier, Louis Gautier, Quentin Cappart, Louis-Martin Rousseau:
Training a Deep Q-Learning Agent Inside a Generic Constraint Programming Solver. - Michael Cahyadi, Muhammad Rafi, William Shan, Jurike Moniaga, Henry Lucky:
Accuracy and Fidelity Comparison of Luna and DALL-E 2 Diffusion-Based Image Generation Systems. - Jie Jiang, Bin Lyu, Pengcheng Chen, Zhen Yang:
Sum-Rate Maximization in Active RIS-Assisted Multi-Antenna WPCN. - Ziwei Sun, Zexi Hua, Hengcao Li, Haiyan Zhong:
Small Moving Object Detection Algorithm in Surveillance Video Based on Motion Information. - Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick:
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models. - Xudong Guo, Daming Shi, Wenhui Fan:
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism. - Kazuo Murota, Takayasu Matsuo:
Double-Exponential transformation: A quick review of a Japanese tradition. - Hojin Park, Jaewoo Park, Andrew Beng Jin Teoh:
Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning. - Taekho You, Jinseo Park, June Young Lee, Jinhyuk Yun:
Auditing citation polarization during the COVID-19 pandemic. - Yan Yang, Liyuan Pan, Liu Liu:
Event Camera Data Pre-training. - Erik Winfree, Lulu Qian:
Two-dimensional tile displacement can simulate cellular automata. - Bahareh Morovati, Reza Lashgari, Mojtaba Hajihasani, Hasti Shabani:
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis. - Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang:
PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching. - Jeonghwan Lee, Jiyeong Han, Sunghoon Baek, Min Song:
Topic Segmentation Model Focusing on Local Context. - Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel, H. T. Kung:
StitchNet: Composing Neural Networks from Pre-Trained Fragments. - Alexander James Kilpatrick, Aleksandra Cwiek, Shigeto Kawahara:
Random forests, sound symbolism and Pokemon evolution. - Yuxing Long, Binyuan Hui, Fulong Ye, Yanyang Li, Zhuoxin Han, Caixia Yuan, Yongbin Li, Xiaojie Wang:
SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph. - Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang:
Learning Trajectory-Word Alignments for Video-Language Tasks. - Margarita Leib, Nils C. Köbis, Rainer Michael Rilke, Marloes Hagens, Bernd Irlenbusch:
Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty. - Zihua Wang, Xu Yang, Haiyang Xu, Hanwang Zhang, Chenliang Li, Songfang Huang, Fei Huang, Yu Zhang:
Adaptively Clustering Neighbor Elements for Image Captioning. - Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang:
High-level semantic feature matters few-shot unsupervised domain adaptation. - A. Seza Dogruöz, Sunayana Sitaram, Barbara E. Bullock, Almeida Jacqueline Toribio:
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies. - Dezhong Tong, Andrew Choi, Demetri Terzopoulos, Jungseock Joo, Mohammad Khalid Jawed:
Deep Learning of Force Manifolds from the Simulated Physics of Robotic Paper Folding. - Shuailei Ma, Yuefeng Wang, Jiaqi Fan, Ying Wei, Thomas H. Li, Hongli Liu, Fanbing Lv:
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection. - Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza:
A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control. - Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza:
Stabilized Weighted Reduced Order Methods for Parametrized Advection-Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs. - Tianyi Xie, Minchen Li, Yin Yang, Chenfanfu Jiang:
A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling. - Jana Holznigenkemper, Christian Komusiewicz, Bernhard Seeger:
Exact and Heuristic Approaches to Speeding Up the MSM Time Series Distance Computation. - Nguyen Huu Hiep, Minh-Tien Nguyen:
Emotion-Cause Pair Extraction as Question Answering. - Jakub Kudela:
The Evolutionary Computation Methods No One Should Use. - Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang, Chongwen Huang:
Energy Efficient Semantic Communication over Wireless Networks with Rate Splitting. - Yixiang Tan, Zhiying Wu, Jieli Liu, Jiajing Wu, Zibin Zheng, Ting Chen:
Bubble or Not: Measurements, Analyses, and Findings on the Ethereum ERC721 and ERC1155 Non-fungible Token Ecosystem. - Wenqian Xue, Bosen Lian, Jialu Fan, Tianyou Chai, Frank L. Lewis:
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games. - Marika Swanberg, Damien Desfontaines, Samuel Haney:
DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection. - Yutong Chen, Junhong Zhao, Wei-Qiang Zhang:
Expressive Speech-driven Facial Animation with controllable emotions. - Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. - Bo Zheng, Zhouyang Li, Fuxuan Wei, Qiguang Chen, Libo Qin, Wanxiang Che:
HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding. - Gokhan Alcan, Fares J. Abu-Dakka, Ville Kyrki:
Trajectory Optimization on Matrix Lie Groups with Differential Dynamic Programming and Nonlinear Constraints. - Michael Günther, Birgit Jacob, Claudia Totzeck:
Structure-preserving identification of port-Hamiltonian systems - a sensitivity-based approach. - Elgar John S. del Rosario, Jordan Rel C. Orillaza:
Dynamic Sizing of Frequency Control Ancillary Service Requirements for a Philippine Grid. - Andreas Bartel, Markus Clemens, Michael Günther, Birgit Jacob, Timo Reis:
Port-Hamiltonian Systems Modelling in Electrical Engineering. - Xiang Li, Jinshan Pan, Jinhui Tang, Jiangxin Dong:
DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution. - Sachin Gunda, Sundararajan Natarajan, Olga Barrera:
On the fractional transversely isotropic functionally graded nature of soft biological tissues. - Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann:
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. - Chenyang Zhang, Chong Shangguan, Gennian Ge:
Improved Gilbert-Varshamov bounds for hopping cyclic codes and optical orthogonal codes. - Ivan Bilic, Filip Maric, Ivan Markovic, Ivan Petrovic:
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image. - Yanhao Wang, Michael Mathioudakis, Jia Li, Francesco Fabbri:
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms. - Jakob S. Stokke, Koondanibha Mitra, Erlend Storvik, Jakub Wiktor Both, Florin A. Radu:
An adaptive solution strategy for Richards' equation. - Lasse Hansen, Kenneth C. Enevoldsen:
TextDescriptives: A Python package for calculating a large variety of statistics from text. - Maoke Miao, Xiao-yu Chen, Rui Yin, Jiantao Yuan:
New Results for the Pointing Errors Model in Two Asymptotic Cases. - Anne Josiane Kouam, Aline Carneiro Viana, Alain Tchana:
Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions. - Sabah Al-Fedaghi:
Stoic Conceptual Modeling Applied to Business Process Modeling Notation (BPMN). - Sangjoon Park, Ik-Jae Lee, Jun Won Kim, Jong Chul Ye:
MS-DINO: Efficient Distributed Training of Vision Transformer Foundation Model in Medical Domain through Masked Sampling. - Patrick Ebel, Christoph Lingenfelder, Andreas Vogelsang:
On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions. - Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou:
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. - Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong:
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach. - Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek:
Test of Time: Instilling Video-Language Models with a Sense of Time. - Yu-Ming Chen, Jianshu Hu, Michael Posa:
Beyond Inverted Pendulums: Task-optimal Simple Models of Legged Locomotion. - Pablo Alexei Gazca-Orozco, Alex Kaltenbach:
On the L∞(0, T;L2(Ω)d)-stability of Discontinuous Galerkin schemes for incompressible flows. - Gonul Ayci, Pinar Yolum, Arzucan Özgür, Murat Sensoy:
Explain to Me: Towards Understanding Privacy Decisions. - Giovanni Cinà, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil:
Semantic match: Debugging feature attribution methods in XAI for healthcare. - Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan:
Self-Motivated Multi-Agent Exploration. - Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt:
A Probabilistic Framework for Visual Localization in Ambiguous Scenes. - Aubin Brunel, Raphaèle Herbin, Jean-Claude Latché:
A MUSCL-like finite volumes approximation of the momentum convection operator for low-order nonconforming face-centred discretizations. - Sadra Safadoust, Fatma Güney:
DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax. - Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari:
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. - Taotao Wang, Shengli Zhang, Soung Chang Liew:
Linking Souls to Humans with ZKBID: Accountable Anonymous Blockchain Accounts for Web 3.0 Decentralized Identity. - Martin Pernus, Clinton Fookes, Vitomir Struc, Simon Dobrisek:
FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion. - Chengyi Wang, Sanyuan Chen, Yu Wu, Ziqiang Zhang, Long Zhou, Shujie Liu, Zhuo Chen, Yanqing Liu, Huaming Wang, Jinyu Li, Lei He, Sheng Zhao, Furu Wei:
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers. - Tatiana Anikina, Natalia Skachkova, Joseph Renner, Priyansh Trivedi:
Anaphora Resolution in Dialogue: System Description (CODI-CRAC 2022 Shared Task). - Anas El Hachimi, Khalide Jbilou, Ahmed Ratnani, Lothar Reichel:
A tensor bidiagonalization method for higher-order singular value decomposition with applications. - Ria Vinod, Pin-Yu Chen, Payel Das:
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning. - João Rodrigues, Rui Nóbrega:
Character Simulation Using Imitation Learning With Game Engine Physics. - Alexander V. Gheorghiu, David J. Pym:
Defining Logical Systems via Algebraic Constraints on Proofs. - Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein:
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization. - Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer:
Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. - Mahmoud E. Khani, Ethan M. I. Johnson, Aparna Sodhi, Joshua D. Robinson, Cynthia K. Rigsby, Bradly D. Allen, Michael Markl:
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI. - Naoki Saito, Stefan C. Schonsheck, Eugene Shvarts:
Multiscale Transforms for Signals on Simplicial Complexes. - Fábio Neves-Moreira, Pedro Amorim:
Playing hide and seek: tackling in-store picking operations while improving customer experience. - Nishant Kumar, Sudhan Majhi, Ashish Kumar Upadhyay:
A Direct Construction of Near-Optimal Multiple ZCZ Sequence Sets. - Usman Muhammad, Djamila Romaissa Beddiar, Mourad Oussalah:
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection. - Alberto Zingaro, Michele Bucelli, Roberto Piersanti, Francesco Regazzoni, Luca Dede', Alfio Quarteroni:
An electromechanics-driven fluid dynamics model for the simulation of the whole human heart. - Thijs Vogels, Hadrien Hendrikx, Martin Jaggi:
Beyond spectral gap (extended): The role of the topology in decentralized learning. - Zongren Zou, George Em Karniadakis:
L-HYDRA: Multi-Head Physics-Informed Neural Networks. - Chao Tian, Hua Sun, Jun Chen:
A Shannon-Theoretic Approach to the Storage-Retrieval Tradeoff in PIR Systems. - Evan S. Gawlik, Michael Neunteufel:
Finite element approximation of scalar curvature in arbitrary dimension. - Aashish Anantha Ramakrishnan, Sharon X. Huang, Dongwon Lee:
ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions. - Graham Cormode, Marcel Dall'Agnol, Tom Gur, Chris Hickey:
Streaming Zero-Knowledge Proofs. - Sylvio Barbon Jr., Paolo Ceravolo, Rafael Seidi Oyamada, Gabriel M. Tavares:
Trace Encoding in Process Mining: a survey and benchmarking. - Tsung-Hao Huang, Wil M. P. van der Aalst:
Comparing Ordering Strategies For Process Discovery Using Synthesis Rules. - Sagnik Majumder, Hao Jiang, Pierre Moulon, Ethan Henderson, Paul Calamia, Kristen Grauman, Vamsi Krishna Ithapu:
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations. - Tsung-Hao Huang, Wil M. P. van der Aalst:
Discovering Sound Free-choice Workflow Nets With Non-block Structures. - Guillaume Allais:
Builtin Types viewed as Inductive Families. - Garett Cunningham, Razvan C. Bunescu, David Juedes:
Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs. - Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner:
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets. - Thiago Donizetti dos Santos, Vagner Figueredo de Santana:
Computer Anxiety: Supporting the Transition from Desktop to Mobile. - Li Huang, Sophie Ebersold, Alexander Kogtenkov, Alexandr Naumchev, Bertrand Meyer, Yinling Liu, ALiyu Alege:
Lessons from Formally Verified Deployed Software Systems. - Shagun Jhaver, Amy X. Zhang:
Do Users Want Platform Moderation or Individual Control? Examining the Role of Third-Person Effects and Free Speech Support in Shaping Moderation Preferences. - Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason Parham, Benjamin Kellenberger, Sara Beery:
Teaching Computer Vision for Ecology. - Peter Jipsen, Jas Semrl:
Representable and diagonally representable weakening relation algebras. - Shuhan Tan, Tushar Nagarajan, Kristen Grauman:
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding. - Jia Ning, Chen Li, Zheng Zhang, Zigang Geng, Qi Dai, Kun He, Han Hu:
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. - Jasmine Collins, Anqi Liang, Jitendra Malik, Hao Zhang, Frédéric Devernay:
CA2T-Net: Category-Agnostic 3D Articulation Transfer from Single Image. - Benjamin Attal, Jia-Bin Huang, Christian Richardt, Michael Zollhöfer, Johannes Kopf, Matthew O'Toole, Changil Kim:
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling. - Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, Jia-Bin Huang:
Robust Dynamic Radiance Fields. - Shashanka Venkataramanan, Amir Ghodrati, Yuki M. Asano, Fatih Porikli, Amirhossein Habibian:
Skip-Attention: Improving Vision Transformers by Paying Less Attention. - Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
CiT: Curation in Training for Effective Vision-Language Data. - Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu:
Machine Fault Classification using Hamiltonian Neural Networks. - Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Deep Latent Variable Models for Semi-supervised Paraphrase Generation. - Meihua Zhou, Ivan Fung, Li Yang, Nan Wan, Keke Di, Tingting Wang:
LostNet: A smart way for lost and find. - Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan:
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. - Abel Jansma:
A compositional game to fairly divide homogeneous cake. - Majid Ramezani, Mohammad-Salar Shahryari, Amir-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi:
Unsupervised Broadcast News Summarization; a comparative study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA). - Natan Levy, Raz Yerushalmi, Guy Katz:
gRoMA: a Tool for Measuring Deep Neural Networks Global Robustness. - Ziyuan Zhu, Wei Wu, Paul H. Siegel:
Polar Codes with Local-Global Decoding. - Ahmad Rafsanjani, Fergal B. Coulter, André R. Studart:
Giving life to robotic skins. - Thomas Hitchcox, James Richard Forbes:
Improving Self-Consistency in Underwater Mapping through Laser-Based Loop Closure (Extended). - Alexander Spangher, Xinyu Hua, Yao Ming, Nanyun Peng:
Sequentially Controlled Text Generation. - Alexander V. Gheorghiu, David J. Pym:
Proof-theoretic Semantics and Tactical Proof. - Zhenyu Charlus Zhang, Anas Chaaban:
Precoding for a Class of Peak-Constrained Dirty Paper Channels with a Discrete State. - Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
What You Say Is What You Show: Visual Narration Detection in Instructional Videos. - Kasra Ferdowsi:
The Usability of Advanced Type Systems: Rust as a Case Study. - Patrick Grady, Jeremy A. Collins, Chengcheng Tang, Christopher D. Twigg, James Hays, Charles C. Kemp:
Visual Estimation of Fingertip Pressure on Diverse Surfaces using Easily Captured Data. - Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
HierVL: Learning Hierarchical Video-Language Embeddings. - Mark Sandler, Andrey Zhmoginov, Max Vladymyrov, Nolan Miller:
Training trajectories, mini-batch losses and the curious role of the learning rate. - Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. - Emirhan Inanc, Yigit Gürses, Abdullah Habboush, Yildiray Yildiz, Anuradha M. Annaswamy:
Neural Network Adaptive Control with Long Short-Term Memory. - Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge:
Reasoning about Causality in Games. - Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon:
Extreme Q-Learning: MaxEnt RL without Entropy. - Tim Johnson, Nick Obradovich:
Evidence of behavior consistent with self-interest and altruism in an artificially intelligent agent. - Ozan Ozyegen, Juyoung Wang, Mucahit Cevik:
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting. - Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro, Fernando M. A. Silva:
MHVG2MTS: Multilayer Horizontal Visibility Graphs for Multivariate Time Series Analysis. - Zichao Zhang, Melda Yuksel, Gokhan M. Guvensen, Halim Yanikomeroglu:
Capacity Region of Asynchronous Multiple Access Channels with FTN. - Vinitha Ranganeni, Mike Sinclair, Eyal Ofek, Amos Miller, Jonathan Campbell, Andrey Kolobov, Edward Cutrell:
Exploring Levels of Control for a Navigation Assistant for Blind Travelers. - Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim:
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. - Honglu He, Chen-lung Lu, Yunshi Wen, Glenn Saunders, Pinghai Yang, Jeffrey Schoonover, Agung Julius, John T. Wen:
High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots. - Lei Fan:
Comparisons of five indices for estimating local terrain surface roughness using LiDAR point clouds. - Yan Chang, Yukun Guo, Hongyu Liu, Deyue Zhang:
Recovering source location, polarization, and shape of obstacle from elastic scattering data. - Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou:
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture. - Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer, Mac Schwager, Ali-akbar Agha-mohammadi:
Fast and Scalable Signal Inference for Active Robotic Source Seeking. - Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu:
Text2Poster: Laying out Stylized Texts on Retrieved Images. - Zitian Wang, Zehao Huang, Jiahui Fu, Naiyan Wang, Si Liu:
Object as Query: Equipping Any 2D Object Detector with 3D Detection Ability. - Rachith Aiyappa, Alessandro Flammini, Yong-Yeol Ahn:
Weighted Belief Networks Unify Simple and Complex Contagion Dynamics. - Shaofei Huang, Zhenwei Shen, Zehao Huang, Zi-han Ding, Jiao Dai, Jizhong Han, Naiyan Wang, Si Liu:
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection. - K. B. J. Anuradha, Chathurika P. Mediwaththe, Masoume Mahmoodi:
A Multi-Objective Planning and Scheduling Framework for Community Energy Storage Systems in Low Voltage Distribution Networks. - Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu:
Centralized Cooperative Exploration Policy for Continuous Control Tasks. - Yang Xu, Fatemeh Pourahmadian, Jian Song, Conglin Wang:
Deep learning for full-field ultrasonic characterization. - Jinbo Xing, Menghan Xia, Yuechen Zhang, Xiaodong Cun, Jue Wang, Tien-Tsin Wong:
CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior. - Junjia Liu, Jianfei Guo, Zehui Meng, Jingtao Xue:
ReVoLT: Relational Reasoning and Voronoi Local Graph Planning for Target-driven Navigation. - Abhinav Kaushal Keshari:
Multi-Genre Music Transformer - Composing Full Length Musical Piece. - Kevin Bui, Zichao Di:
A Stochastic ADMM Algorithm for Large-Scale Ptychography with Weighted Difference of Anisotropic and Isotropic Total Variation. - Hoai-An Nguyen, Ching-An Cheng:
Provable Reset-free Reinforcement Learning by No-Regret Reduction. - Sean Kelty, Raiyan Abdul Baten, Adiba Mahbub Proma, Ehsan Hoque, Johan Bollen, Gourab Ghoshal:
Don't follow the leader: Independent thinkers create scientific innovation. - Gobinda Ghosh, Sudhan Majhi, Subhabrata Paul:
A Direct Construction of Optimal 2D-ZCACS with Flexible Array Size and Large Set Size. - Jungwoo Lim, Myunghoon Kang, Yuna Hur, Seungwon Jung, Jinsung Kim, Yoonna Jang, Dongyub Lee, Hyesung Ji, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim:
You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona. - Liu Liu, Yukai Lin, Xiao Liang, Qichao Xu, Miao Jia, Yangdong Liu, Yuxiang Wen, Wei Luo, Jiangwei Li:
CyberLoc: Towards Accurate Long-term Visual Localization. - Hebi Li, Forrest Sheng Bao, Qi Xiao, Jin Tian:
Codepod: A Namespace-Aware, Hierarchical Jupyter for Interactive Development at Scale. - Zhao Tian, Junjie Chen, Zhi Jin:
Adversarial Attacks on Neural Models of Code via Code Difference Reduction. - Zhe Wang, Jiayi Zhang, Hien Quoc Ngo, Bo Ai, Mérouane Debbah:
Uplink Precoding Design for Cell-Free Massive MIMO with Iteratively Weighted MMSE. - Chengming Xu, Siqian Yang, Yabiao Wang, Zhanxiong Wang, Yanwei Fu, Xiangyang Xue:
Exploring Efficient Few-shot Adaptation for Vision Transformers. - Meike Hatzel, Konrad Majewski, Michal Pilipczuk, Marek Sokolowski:
Simpler and faster algorithms for detours in planar digraphs. - Shuai Liu, Xiao Guo, Shun Qi, Huaning Wang, Xiangyu Chang:
Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks. - Di Wang, Ping Wang, Zhong Ji, Xiaojun Yang, Hongyue Li:
Conformal Loss-Controlling Prediction. - Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Ruifeng Xu:
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. - John M. Hanna, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello:
Sensitivity analysis using Physics-informed neural networks. - Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler:
Myths and Legends in High-Performance Computing. - Rana Adnan Ahmad, Muhammad Azhar, Hina Sattar:
An Image captioning algorithm based on the Hybrid Deep Learning Technique (CNN+GRU). - Christian Menard, Marten Lohstroh, Soroush Bateni, Matthew Chorlian, Arthur Deng, Peter Donovan, Clément Fournier, Shaokai Lin, Felix Suchert, Tassilo Tanneberger, Hokeun Kim, Jerónimo Castrillón, Edward A. Lee:
High-Performance Deterministic Concurrency using Lingua Franca. - Yilin Wen, Biao Luo, Yuqian Zhao:
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling. - Ali Safa, Tim Verbelen, Ozan Çatal, Toon Van de Maele, Matthias Hartmann, Bart Dhoedt, André Bourdoux:
FMCW Radar Sensing for Indoor Drones Using Learned Representations. - Shuangyang Li, Jinhong Yuan, Paul G. Fitzpatrick, Taka Sakurai, Giuseppe Caire:
Delay-Doppler Domain Tomlinson-Harashima Precoding for OTFS-based Downlink MU-MIMO Transmissions: Linear Complexity Implementation and Scaling Law Analysis. - Christian Janos Lebeda, Jakub Tetek:
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch. - Manuel V. Loureiro, Steven Derby, Tri Kurniawan Wijaya:
Topics as Entity Clusters: Entity-based Topics from Language Models and Graph Neural Networks. - Kangxu Wang, Ze Chen, Jiewen Zheng:
OPD@NL4Opt: An ensemble approach for the NER task of the optimization problem. - Fatemeh Ghorbani, Mahsa Farshi Taghavi, Mehdi Delrobaei:
Towards an Intelligent Assistive System Based on Augmented Reality and Serious Games. - Rachael Colley, Théo Delemazure, Hugo Gilbert:
Measuring a Priori Voting Power - Taking Delegations Seriously. - Vincenzo Lomonaco, Lorenzo Pellegrini, Gabriele Graffieti, Davide Maltoni:
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning. - Hadi Aghaee, Bahareh Akhbari:
Quantum Multiple Access Wiretap Channel: On the One-Shot Achievable Secrecy Rate Regions. - Huibing Wang, Mingze Yao, Guangqi Jiang, Zetian Mi, Xianping Fu:
Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering. - Zishuai Cheng, Mihai Ordean, Flavio D. Garcia, Baojiang Cui, Dominik Rys:
Watching your call: Breaking VoLTE Privacy in LTE/5G Networks. - Cristian Daniele, Seyed Behnam Andarzian, Erik Poll:
Fuzzers for stateful systems: Survey and Research Directions. - Xuewen Tao, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Hongwei Cheng, Wenfang Lin:
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations. - Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo:
Stealthy Backdoor Attack for Code Models. - Francesco Sanna Passino, Anastasia Mantziou, Daniyar Ghani, Philip Thiede, Ross Bevington, Nicholas A. Heard:
Unsupervised attack pattern detection in honeypot data using Bayesian topic modelling. - Chenxu Yang, Ralf Klasing, Changxiang He, Yaping Mao:
Perturbation results for distance-edge-monitoring numbers. - Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Tao Chen, Gang Yu:
End-to-End 3D Dense Captioning with Vote2Cap-DETR. - Aqsa Ashraf Makhdomi, Iqra Altaf Gillani:
GNN-based Passenger Request Prediction. - Abdelrahman Kaseb, Mona Farouk:
SAIDS: A Novel Approach for Sentiment Analysis Informed of Dialect and Sarcasm. - Mridula Vijendran, Frederick W. B. Li, Hubert P. H. Shum:
Tackling Data Bias in Painting Classification with Style Transfer. - Bianca Marques, Rui Nóbrega, Carmen Morgado:
Avatar-centred AR Collaborative Mobile Interaction. - Elisavet Kozyri, Mariel Evelyn Markussen Ellingsen, Ragnhild Abel Grape, Letizia Jaccheri:
Better Balance in Informatics: An Honest Discussion with Students. - Ana Foles, Luis Fialho, Pedro Horta, Manuel Collares-Pereira:
Economic and Energetic Assessment of a Hybrid Vanadium Redox Flow and Lithium-ion batteries considering different Energy Management Strategies. - Zhaoyang Cheng, Guanpu Chen, Yiguang Hong:
Zero-Determinant Strategy in Stochastic Stackelberg Asymmetric Security Game. - Alireza Darvishy, Hans-Peter Hutter, Edin Beljulji, Zeno Heeb:
A new conversational interaction concept for document creation and editing on mobile devices for visually impaired users. - Michael Lachner:
Linear and non-linear machine learning attacks on physical unclonable functions. - Yuchen Cui, Siddharth Karamcheti, Raj Palleti, Nidhya Shivakumar, Percy Liang, Dorsa Sadigh:
"No, to the Right" - Online Language Corrections for Robotic Manipulation via Shared Autonomy. - Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron B. Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky:
Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset. - Dekai Zhu, Qadeer Khan, Daniel Cremers:
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information. - Lue Fan, Yuxue Yang, Feng Wang, Naiyan Wang, Zhaoxiang Zhang:
Super Sparse 3D Object Detection. - Balagopal Komarath, Anant Kumar, Suchismita Mishra, Aditi Sethia:
Finding and Counting Patterns in Sparse Graphs. - Yanpeng Yu, Seung-Seob Lee, Anurag Khandelwal, Lin Zhong:
GCS: Generalized Cache Coherence For Efficient Synchronization. - Jérémi Dardé, Niami Nasr, Lisl Weynans:
Immersed Boundary Method for the Complete Electrode Model in Electrical Impedance Tomography. - Simranjeet Kaur, Ritika Bhardwaj, Aastha Jain, Muskan Garg, Chandni Saxena:
Causal Categorization of Mental Health Posts using Transformers. - Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry:
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads. - William Bennett, Ryan G. McClarren:
Benchmark solutions for radiative transfer with a moving mesh and exact uncollided source treatments. - Ryan Donald, Peter Gavriel, Adam Norton, Seyed Reza Ahmadzadeh:
Contextual Autonomy Evaluation of Unmanned Aerial Vehicles in Subterranean Environments. - Marco Kemmerling:
Feedback-Gated Rectified Linear Units. - Chuqin Geng, Wenwen Xu, Yingjie Xu, Brigitte Pientka, Xujie Si:
Identifying Different Student Clusters in Functional Programming Assignments: From Quick Learners to Struggling Students. - Tzvi Lederer, Gallil Maimon, Lior Rokach:
Silent Killer: Optimizing Backdoor Trigger Yields a Stealthy and Powerful Data Poisoning Attack. - Sariel Har-Peled, Eliot Wong Robson:
On the Width of the Regular n-Simplex. - Jake Smith:
Review of Cookie Synchronization Detection Methods. - Sofia Maragkou, Axel Jantsch:
Information Flow Tracking Methods for Protecting Cyber-Physical Systems against Hardware Trojans - a Survey. - Yaqiong Mu:
Deep leakage from gradients. - Armando Castañeda, Gilde Valeria Rodríguez:
Asynchronous Wait-Free Runtime Verification and Enforcement of Linearizability. - Otto Brookes, Majid Mirmehdi, Hjalmar S. Kühl, Tilo Burghardt:
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions. - Sergei Zobov, Fedor Chervinskii, Aleksandr Rybnikov, Danil Petrov, Komal Vendidandi:
Auto-Assembly: a framework for automated robotic assembly directly from CAD. - Matthew R. Kirchner, David Grimsman, João Pedro Hespanha, Jason R. Marden:
Trajectories for the Optimal Collection of Information. - Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
Model-Agnostic Hierarchical Attention for 3D Object Detection. - Pooja Algikar, Yijun Xu, Somayeh Yarahmadi, Lamine Mili:
A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow. - Song Bian, Dacheng Li, Hongyi Wang, Eric P. Xing, Shivaram Venkataraman:
Does compressing activations help model parallel training? - Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe:
TarViS: A Unified Approach for Target-based Video Segmentation. - Ayana Ghosh, Sergei V. Kalinin, Maxim A. Ziatdinov:
Discovery of structure-property relations for molecules via hypothesis-driven active learning over the chemical space. - Jiye Lee, Hanbyul Joo:
Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments. - Sebastian Friedemann, Kai Keller, Yen-Sen Lu, Bruno Raffin, Leonardo Bautista-Gomez:
A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation. - Andrey Gromov:
Grokking modular arithmetic. - Kabir Nagrecha:
Systems for Parallel and Distributed Large-Model Deep Learning Training. - Muhammad Al-Barham, Ahmad Jamal, Musa Al Yaman:
Design of Arabic Sign Language Recognition Model. - Joe Toplyn:
Witscript 3: A Hybrid AI System for Improvising Jokes in a Conversation. - Rameen Abdal, Hsin-Ying Lee, Peihao Zhu, Menglei Chai, Aliaksandr Siarohin, Peter Wonka, Sergey Tulyakov:
3DAvatarGAN: Bridging Domains for Personalized Editable Avatars. - Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
RUPNet: Residual upsampling network for real-time polyp segmentation. - Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li:
Few-shot Node Classification with Extremely Weak Supervision. - Thomas Thuesen Enevoldsen, Mogens Blanke, Roberto Galeazzi:
Autonomy for Ferries and Harbour Buses: a Collision Avoidance Perspective. - AmirReza BabaAhmadi, Masoud ShariatPanahi, Moosa Ayati:
A Deep Reinforcement Learning-Based Controller for Magnetorheological-Damped Vehicle Suspension. - Gunnar Birke, Christian Engwer, Sandra May, Florian Streitbürger:
DoD Stabilization of linear hyperbolic PDEs on general cut-cell meshes. - Shih-Yuan Yu, Yonatan Gizachew Achamyeleh, Chonghan Wang, Anton Kocheturov, Patrick Eisen, Mohammad Abdullah Al Faruque:
CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering. - Wanqiu Long, Bonnie Webber:
Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations. - Hilmil Pradana, Minh-Son Dao, Koji Zettsu:
Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation. - Vinod Raman, Unique Subedi, Ambuj Tewari:
A Characterization of Multilabel Learnability. - Elahe Sherafat, Bilal Farooq, Amir Hossein Karbasi, Seyedehsan Seyedabrishami:
Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads. - Callie C. Liao, Duoduo Liao, Jesse Guessford:
Multimodal Lyrics-Rhythm Matching. - João Domingos Gomes da Silva Jr., Carla Silva Oliveira, Liliana Manuela G. C. da Costa:
Bounds for a alpha-eigenvalues. - Lucia M. Korpas, Seth Frey, Joshua Z. Tan:
Political, economic, and governance attitudes of blockchain users. - Ian Goldstein, Laura Edelson, Damon McCoy, Tobias Lauinger:
Understanding the (In)Effectiveness of Content Moderation: A Case Study of Facebook in the Context of the U.S. Capitol Riot. - Haoyan Wei, Chengtang Wu, Wei Hu, Tung-Huan Su, Hitoshi Oura, Masato Nishi, Tadashi Naito, Stan Chung, Leo Shen:
LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites. - Andrew Cohen, Weiping Dou, Jiang Zhu, Slawomir Koziel, Peter Renner, Jan-Ove Mattsson, Xiaomeng Yang, Beidi Chen, Kevin Stone, Yuandong Tian:
Modeling Scattering Coefficients using Self-Attentive Complex Polynomials with Image-based Representation. - Jihong Zhu, Michael Gienger, Giovanni Franzese, Jens Kober:
Do You Need a Hand? - a Bimanual Robotic Dressing Assistance Scheme. - Guoying Chen, Min Hua, Wei Liu, Jinhai Wang, Shunhui Song, Changsheng Liu:
Planning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario. - Alberto Colorni, Alexis Tsoukiàs:
What is a decision problem? - Gabriel Matheus de Almeida, Gustavo Zanatta Bruno, Alexandre Huff, Matti A. Hiltunen, Elias P. Duarte Jr., Cristiano Bonato Both, Kleber Vieira Cardoso:
RIC-O: Efficient placement of a disaggregated and distributed RAN Intelligent Controller with dynamic clustering of radio nodes. - Yunpyo An, Suyeong Park, Kwang In Kim:
Active Deep Learning Guided by Efficient Gaussian Process Surrogates. - Yanjie Song:
Mathematical Models and Reinforcement Learning based Evolutionary Algorithm Framework for Satellite Scheduling Problem. - Richard Kimera, Daniela N. Rim, Heeyoul Choi:
Building a Parallel Corpus and Training Translation Models Between Luganda and English. - Yuetian Chen, Ruohua Li, Bowen Shi, Peiru Liu, Mei Si:
Visual Story Generation Based on Emotion and Keywords. - Gongyang Li, Zhi Liu, Xinpeng Zhang, Weisi Lin:
Lightweight Salient Object Detection in Optical Remote Sensing Images via Semantic Matching and Edge Alignment. - Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li:
Explaining Graph Neural Networks via Non-parametric Subgraph Matching. - Yinyu Lan, Shizhu He, Kang Liu, Jun Zhao:
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules. - Lin Cao, Shaolong Shu, Feng Lin:
Active Fault Isolation for Discrete Event Systems. - Ang Li, August Ning, David Wentzlaff:
Duet: Creating Harmony between Processors and Embedded FPGAs. - Gangwei Xu, Huan Zhou, Xin Yang:
CGI-Stereo: Accurate and Real-Time Stereo Matching via Context and Geometry Interaction. - Mayank Deshpande, Siddharth Agarwal, Vukka Snigdha, Arya Kumar Bhattacharya:
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders. - Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. - Xinyi Zhou, Jiayu Li, Qinzhou Li, Reza Zafarani:
Linguistic-style-aware Neural Networks for Fake News Detection. - Haimiao Mo, Min Zeng:
A Lite Fireworks Algorithm for Optimization. - Florian Streitbürger, Gunnar Birke, Christian Engwer, Sandra May:
DoD stabilization for higher-order advection in two dimensions. - Hamid Gharagozlou, Javad Mohammadzadeh, Azam Bastanfard, Saeed Shiry Ghidary:
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm. - Yao Liang, Hongjian Fang, Yi Zeng, Feifei Zhao:
A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering. - Hu Ding, Ruomin Huang, Kai Liu, Haikuo Yu, Zixiu Wang:
Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers. - Teddy Lazebnik:
Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields. - Xunzhu Tang, Haoye Tian, Pingfan Kong, Kui Liu, Jacques Klein, Tegawendé F. Bissyandé:
App Review Driven Collaborative Bug Finding. - Jintai Chen, Jiahuan Yan, Danny Ziyi Chen, Jian Wu:
ExcelFormer: A Neural Network Surpassing GBDTs on Tabular Data. - Frank F. Xu, Uri Alon, Graham Neubig:
Why do Nearest Neighbor Language Models Work? - (Withdrawn) Advanced Data Augmentation Approaches: A Comprehensive Survey and Future directions.
- Rongen Dong, Hangjia He, Feng Shu, Riqing Chen, Jiangzhou Wang:
Joint Beamforming and Phase Shift Design for Hybrid-IRS-aided Directional Modulation Network. - Arno Pauly, Cécilia Pradic, Giovanni Soldà:
On the Weihrauch degree of the additive Ramsey theorem. - Zihao Li, Pan Gao, Hui Yuan, Ran Wei:
Dynamic Local Feature Aggregation for Learning on Point Clouds. - Fabian A. Braeu, Thanadet Chuangsuwanich, Tin Aung Tun, Shamira A. Perera, Rahat Husain, Aiste Kadziauskiene, Leopold Schmetterer, Alexandre H. Thiéry, George Barbastathis, Tin Aung, Michaël J. A. Girard:
The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage. - Panagiotis Promponas, Leandros Tassiulas:
Network Slicing: Market Mechanism and Competitive Equilibria. - Xianhong Xie, Yi Ouyang:
On vectorial functions with maximal number of bent components. - Jiageng Zhong, Ming Li, Jiangying Qin, Hanqi Zhang:
Deep Learning-Based UAV Aerial Triangulation without Image Control Points. - Hu Ding:
Sublinear Time Algorithms for Several Geometric Optimization (With Outliers) Problems In Machine Learning. - Mihir Jain, Kashish Jain, Sandip Mane:
Machine Learning to Estimate Gross Loss of Jewelry for Wax Patterns. - Raphaël Azorin, Massimo Gallo, Alessandro Finamore, Dario Rossi, Pietro Michiardi:
"It's a Match!" - A Benchmark of Task Affinity Scores for Joint Learning. - Vasco Nunes, João Dias, Pedro A. Santos:
GAN-Based Content Generation of Maps for Strategy Games. - Jiajun Zhan, Lei Yang, Xiaoqing Xing, Liuqiang Zhong:
An iterative two-grid method for strongly nonlinear elliptic boundary value problems. - Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Assigning Agents to Increase Network-Based Neighborhood Diversity. - Mouhcine Assouli, Badr Missaoui:
Deep Learning for Mean Field Games with non-separable Hamiltonians. - Keri D'Angelo, Dexter Kozen:
Abstract Huffman Coding and PIFO Tree Embeddings. - Michael B. Giles:
MLMC techniques for discontinuous functions. - Shangda Wu, Maosong Sun:
TunesFormer: Forming Tunes with Control Codes. - Yanhui Zhu, Fang Hu, Lei Hsin Kuo, Jia Liu:
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection. - Han Han, Vincent Lostanlen, Mathieu Lagrange:
Perceptual-Neural-Physical Sound Matching. - Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. - Billy S. Javier, Leo P. Paliuanan, James Karl A. Agpalza, Jesty S. Agoto:
MangngalApp - An integrated package of technology for COVID-19 response and rural development: Acceptability and usability using TAM. - Devvrat Joshi, Janvi Thakkar:
k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality. - Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee:
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching. - Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. - Lorenzo Perini, Daniele Giannuzzi, Jesse Davis:
How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection. - Bruno Tafur, Marwa Mahmoud, Staci Weiss:
Towards early prediction of neurodevelopmental disorders: Computational model for Face Touch and Self-adaptors in Infants. - Robert Schilling, Pascal Nasahl, Martin Unterguggenberger, Stefan Mangard:
SFP: Providing System Call Flow Protection against Software and Fault Attacks. - Yeskendir Koishekenov:
Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings. - Hosein Barzekar, Hai Ngu, Han Hui Lin, Mohsen Hejrati, Steven Ray Valdespino, Sarah Chu, Baris Bingol, Somaye Hashemifar, Soumitra Ghosh:
Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease. - Debangshu Banerjee:
Markov Chain Concentration with an Application in Reinforcement Learning. - Can Chen, Yingxue Zhang, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Model-based Biological Sequence Design. - Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel:
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer. - Kevin H. M. Cheng, Xu Cheng, Guoying Zhao:
Advancing 3D finger knuckle recognition via deep feature learning. - Leimin Tian, Kerry He, Shiyu Xu, Akansel Cosgun, Dana Kulic:
Crafting with a Robot Assistant: Use Social Cues to Inform Adaptive Handovers in Human-Robot Collaboration. - Bruno Felipe Costa, Taufik Abrão:
GA-Aided Directivity in Volumetric and Planar Massive-Antenna Array Design. - Xinyu Liu, Jie Shen, Xiangxiong Zhang:
An efficient and robust SAV based algorithm for discrete gradient systems arising from optimizations. - Darius Coelho, Nikita Gupta, Eric Papenhausen, Klaus Mueller:
Patterns of Social Vulnerability - An Interactive Dashboard to Explore Risks to Public Health on the US County Level. - Hyuk Jun Kweon, Honglin Zhu:
Maximum overlap area of a convex polyhedron and a convex polygon under translation. - Dylan Laplace Mermoud:
Geometry of set functions in cooperative game theory. - Phillip J. K. Christoffersen, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith:
Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior. - Geet Sethi, Pallab Bhattacharya, Dhruv Choudhary, Carole-Jean Wu, Christos Kozyrakis:
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models. - Heli Qi, Sashi Novitasari, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain. - Fengping Wang, Jie Li, Chun Qi, Lin Wang, Pan Wang:
Multi-scale multi-modal micro-expression recognition algorithm based on transformer. - Md. Ahsan Habib, M. A. H. Akhand, Md. Abdus Samad Kamal:
Emotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNN. - Shu Sun, Meixia Tao:
Characteristics of Channel Eigenvalues and Mutual Coupling Effects for Holographic Reconfigurable Intelligent Surfaces. - Bruce W. Lee, Jason Hyung-Jong Lee:
Traditional Readability Formulas Compared for English. - Yanbaihui Liu, Haibo Wang, Dongming Jia:
Human Following Based on Visual Perception in the Context of Warehouse Logistics. - Cheng-Yen Yang, Jiajia Luo, Lu Xia, Yuyin Sun, Nan Qiao, Ke Zhang, Zhongyu Jiang, Jenq-Neng Hwang:
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations. - Yanmeng Wang, Qingjiang Shi, Tsung-Hui Chang:
Why Batch Normalization Damage Federated Learning on Non-IID Data? - Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang:
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text. - Plamen Dimitrov:
Neural network models. - Ching-Hao Chiu, Hao-Wei Chung, Yu-Jen Chen, Yiyu Shi, Tsung-Yi Ho:
Fair Multi-Exit Framework for Facial Attribute Classification. - Weizhu Bao, Chushan Wang:
Error estimates of the time-splitting methods for the nonlinear Schrödinger equation with semi-smooth nonlinearity. - Tao Xie, Kun Dai, Ke Wang, Ruifeng Li, Lijun Zhao:
DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching. - Ao Liu, Lirong Xia, Nengkun Yu:
Accelerating Majority Voting by Quantum Computation. - Gentian Zavalani, Elima Shehu:
A note on the rate of convergence of integration schemes for closed surfaces. - Leonid Boytsov, Preksha Patel, Vivek Sourabh, Riddhi Nisar, Sayani Kundu, Ramya Ramanathan, Eric Nyberg:
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers. - Qiang Zou, Hsi-Yung Feng, Shuming Gao:
Variational Direct Modeling: A framework towards integration of parametric modeling and direct modeling in CAD. - Kai Mo, Chongkun Xia, Xueqian Wang, Yuhong Deng, Xuehai Gao, Bin Liang:
Foldsformer: Learning Sequential Multi-Step Cloth Manipulation With Space-Time Attention. - Martin W. Licht:
Averaging-based local projections in finite element exterior calculus. - Abdijabar Yussuf Mohamed, Samuel Kang'ara Kamau:
A Continent-Wide Assessment of Cyber Vulnerability Across Africa. - Badr M. Abdullah, Dietrich Klakow:
Analyzing the Representational Geometry of Acoustic Word Embeddings. - Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Navjot Singh:
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules. - Patrick Krüger, Hanno Gottschalk:
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group. - Yuliya Tukmacheva, Ivan V. Oseledets, Evgeny Frolov:
Mitigating Human and Computer Opinion Fraud via Contrastive Learning. - Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou:
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. - Bernadeta Griciute, Lifeng Han, Goran Nenadic:
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method. - Zhen Su, Jürgen Kurths, Henning Meyerhenke:
Network Sparsification via Degree- and Subgraph-based Edge Sampling. - Zhengyi Liu, Wei Wu, Yacheng Tan, Guanghui Zhang:
RGB-T Multi-Modal Crowd Counting Based on Transformer. - Matt Fleming, Piotr Kolaczkowski, Ishita Kumar, Shaunak Das, Sean McCarthy, Pushkala Pattabhiraman, Henrik Ingo:
Hunter: Using Change Point Detection to Hunt for Performance Regressions. - Chong Han, Yuhang Chen, Longfei Yan, Zhi Chen, Linglong Dai:
Cross Far- and Near-field Wireless Communications in Terahertz Ultra-large Antenna Array Systems. - Bin Tang, Zhengyi Liu, Yacheng Tan, Qian He:
HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection. - Cheng-Yen Hsu, HsinYi Chen, Jen-Hui Chuang:
Equivalence of Two Expressions of Principal Line. - Ashwin Agrawal, Robert Thiel, Pooja Jain, Vishal Singh, Martin Fischer:
Digital Twin: Where do humans fit in? - Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, LiGuo Huang, Bin Luo:
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning. - Andreas Kontogiannis, George A. Vouros:
XDQN: Inherently Interpretable DQN through Mimicking. - Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye:
A Survey on Transformers in Reinforcement Learning. - João Ribeiro Pinto:
Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring. - Ming Li, Jun Liu, Hehe Fan, Jiawei Liu, Jiahe Li, Mike Zheng Shou, Jussi Keppo:
STPrivacy: Spatio-Temporal Tubelet Sparsification and Anonymization for Privacy-preserving Action Recognition. - Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, Yihua Huang:
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network. - Pin-Yu Chen, Payel Das:
AI Maintenance: A Robustness Perspective. - Anubrata Das, Houjiang Liu, Venelin Kovatchev, Matthew Lease:
The State of Human-centered NLP Technology for Fact-checking. - Peichun Li, Guoliang Cheng, Xumin Huang, Jiawen Kang, Rong Yu, Yuan Wu, Miao Pan:
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices. - Lior Yasur, Guy Frankovits, Fred Matanel Grabovski, Yisroel Mirsky:
Deepfake CAPTCHA: A Method for Preventing Fake Calls. - Arash Pourdamghani, Chen Avin, Robert Sama, Stefan Schmid:
SeedTree: A Dynamically Optimal and Local Self-Adjusting Tree. - Ningxin Liu, Lijian Jiang:
Perron-Frobenius operator filter for stochastic dynamical systems. - Yaniv Sadeh, Haim Kaplan:
Dynamic Binary Search Trees: Improved Lower Bounds for the Greedy-Future Algorithm. - Imran Mahmood:
A Verification Framework for Component-Based Modeling and Simulation Putting the pieces together. - AmirEhsan Khorashadizadeh, Sepehr Eskandari, Vahid Khorashadi-Zadeh, Ivan Dokmanic:
Deep Injective Prior for Inverse Scattering. - Md. Kowsher, Mahbuba Yesmin Turaba, Tanvir Sajed, M. M. Mahabubur Rahman:
Prognosis and Treatment Prediction of Type-2 Diabetes Using Deep Neural Network and Machine Learning Classifiers. - Jonas Witt, Stef Rasing, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon:
A Divide-Align-Conquer Strategy for Program Synthesis. - Dan Zhang, Hannah Kim, Rafael Li Chen, Eser Kandogan, Estevam Hruschka:
MEGAnno: Exploratory Labeling for NLP in Computational Notebooks. - Amir Iqbal, Sushant Veer, Yan Gu:
Real-Time Walking Pattern Generation of Quadrupedal Dynamic-Surface Locomotion based on a Linear Time-Varying Pendulum Model. - Ahmed K. Khamis, Mohammed Agamy:
Comprehensive Mapping of Continuous/Switching Circuits in CCM and DCM to Machine Learning Domain using Homogeneous Graph Neural Networks. - Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo:
Fully Dynamic Online Selection through Online Contention Resolution Schemes. - Thiago Augusto Bruza Alves, Taufik Abrão:
Massive MIMO and NOMA Bits-per-Antenna Efficiency under Power Allocation Policies. - Daniil Lisus, Connor Holmes:
Towards Open World NeRF-Based SLAM. - Karthik Sriram, Raghavendra Pradyumna Pothukuchi, Michal Gerasimiuk, Oliver Ye, Muhammed Ugur, Rajit Manohar, Anurag Khandelwal, Abhishek Bhattacharjee:
A Multi-Site Accelerator-Rich Processing Fabric for Scalable Brain-Computer Interfacing. - Matthew Conlen, Jeffrey Heer, Hillary Mushkin, Scott Davidoff:
Cinematic Techniques in Narrative Visualization. - Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin:
RobArch: Designing Robust Architectures against Adversarial Attacks. - Haoyu Wang, Pan Li:
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning. - Irad Zehavi, Adi Shamir:
Facial Misrecognition Systems: Simple Weight Manipulations Force DNNs to Err Only on Specific Persons. - Mariam Bangura, Kristina Barabashova, Anna Karnysheva, Sarah Semczuk, Yifan Wang:
Automatic Generation of German Drama Texts Using Fine Tuned GPT-2 Models. - Pim Jordi Verschuuren, Jie Gao, Adelize van Eeden, Stylianos Oikonomou, Anil Bandhakavi:
Logically at Factify 2023: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture. - Heping Wan, Anders Høst-Madsen, Aria Nosratinia:
Compress-and-Forward via Multilevel Coding and Trellis Coded Quantization. - Tarik Dzanic, Freddie D. Witherden:
Positivity-preserving entropy filtering for the ideal magnetohydrodynamics equations. - Mohammadreza Naderi, Mohammad Hossein Givkashi, Nader Karimi, Shahram Shirani, Shadrokh Samavi:
SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions. - Yanhu Wang, Shuaishuai Guo:
Transceiver Cooperative Learning-aided Semantic Communications Against Mismatched Background Knowledge Bases. - Mashud Rana, Ashfaqur Rahman, Daniel V. Smith:
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data. - Guijin Son, Hanwool Lee, Nahyeon Kang, Moonjeong Hahm:
Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance. - Sai Shi, Aniruddha Maiti, Ashis Kumar Chanda, Slobodan Vucetic:
Scholar Ranking 2023: Ranking of Computer Science Departments Based on Faculty Citations. - Linden Wang:
Applying Automated Machine Translation to Educational Video Courses. - Mohammad Farzanullah, Tho Le-Ngoc:
Platoon Leader Selection, User Association and Resource Allocation on a C-V2X based highway: A Reinforcement Learning Approach. - Yang Peng, Changzheng Liu, Wei Shen:
Finding Lookalike Customers for E-Commerce Marketing. - Liuzixuan Lin, Andrew A. Chien:
Reducing Datacenter Operational Carbon Emissions Effectively by Cooperating with the Grid. - Ethan Steinberg, Yizhe Xu, Jason A. Fries, Nigam Shah:
Self-Supervised Time-to-Event Modeling with Structured Medical Records. - Andrea Bonito, Ricardo H. Nochetto, Shuo Yang:
Γ-convergent LDG method for large bending deformations of bilayer plates. - Johannes Bayer, Amit Kumar Roy, Andreas Dengel:
Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images. - Haowei Wang, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Xiaoshuai Sun:
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network. - Dominic Yang, Yurun Ge, Thien Nguyen, Jacob D. Moorman, Denali Molitor, Andrea L. Bertozzi:
Structural Equivalence in Subgraph Matching. - Ali Mirza, Imran Siddiqi:
Cursive Caption Text Detection in Videos. - Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen:
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems. - Seungeun Lim, Changmo Yeo, Fazhi He, Jinwon Lee, Duhwan Mun:
Machining feature recognition using descriptors with range constraints for mechanical 3D models. - Jinwoo Bae, Kyumin Hwang, Sunghoon Im:
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation. - Lixiu Wang, Mingyan Zhang, Qian Zhang:
Fully H(gradcurl)-nonconforming Finite Element Method for The Singularly Perturbed Quad-curl Problem on Cubical Meshes. - Liqun Qi:
Motion Addition and Motion Optimization. - Haoqian Liang, Zhichao Li, Ya Yang, Naiyan Wang:
Deep Planar Parallax for Monocular Depth Estimation. - Davin Choo, Kirankumar Shiragur:
Subset verification and search algorithms for causal DAGs. - Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau:
Structure-Informed Shadow Removal Networks. - Fengyin Li, Yuqiang Li, Xianyi Wu:
Minimax Weight Learning for Absorbing MDPs. - Oussama Sifour, Soulaimane Berkane, Abdelhamid Tayebi:
Modeling of Four-Winged Micro Ornithopters Inspired by Dragonflies. - Václav Skala:
Line-Torus Intersection for Ray Tracing: Alternative Formulations. - Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves:
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. - Junichiro Hagiwara, Kazushi Matsumura, Hiroki Asumi, Yukiko Kasuga, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Takeo Ohgane:
A near-optimal stochastic MIMO signal detection with a mixture of t-distribution prior. - Alessandro T. Gifford, Benjamin Lahner, Sari Saba-Sadiya, Martina G. Vilas, Alex Lascelles, A. Oliva, K. Kay, Gemma Roig, Radoslaw Martin Cichy:
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes. - Ansgar Jüngel, Martin Vetter:
A convergent entropy-dissipating BDF2 finite-volume scheme for a population cross-diffusion system. - Amir Ashtari Gargari, Andrea Ortiz, Matteo Pagin, Anja Klein, Matthias Hollick, Michele Zorzi, Arash Asadi:
Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks. - Dan Yang, Jindan Xu, Wei Xu, Yongming Huang, Zhaohua Lu:
Secure Communication for Spatially Correlated RIS-Aided Multiuser Massive MIMO Systems: Analysis and Optimization. - Karla Pizzi, Franziska Boenisch, Ugur Sahin, Konstantin Böttinger:
Introducing Model Inversion Attacks on Automatic Speaker Recognition. - Jordan Samhi, Maria Kober, Abdoul Kader Kaboré, Steven Arzt, Tegawendé F. Bissyandé, Jacques Klein:
Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods An Application to the Android Framework for Data Leak Detection. - Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang:
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. - Gourav Arora, Rajesh Kumar, Youcef Mammeri:
Elzaki Transform Based Accelerated Homotopy Perturbation Method for Multi-dimensional Smoluchowski's Coagulation and Coupled Coagulation-fragmentation Equations. - Hongyang Du, Zonghang Li, Dusit Niyato, Jiawen Kang, Zehui Xiong, Xuemin Shen, Dong In Kim:
Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks. - Eunjung Kim, Arnaud de Mesmay, Tillmann Miltzow:
Representing Matroids over the Reals is ∃R-complete. - Danish Muzafar, Furqan Yaqub Khan, Mubashir Qayoom:
Machine Learning Algorithms for Depression Detection and Their Comparison. - João Pascoal Faria, Rui Abreu:
Case studies of development of verified programs with Dafny for accessibility assessment. - Abrar Qadir Mir, Furqan Yaqub Khan, Mohammad Ahsan Chishti:
Online Fake Review Detection Using Supervised Machine Learning And BERT Model. - Furqan Yaqub Khan:
Analysis and Design of VANET Protocols for Srinagar City. - Gregory Duthé, Imad Abdallah, Sarah Barber, Eleni N. Chatzi:
Graph Neural Networks for Aerodynamic Flow Reconstruction from Sparse Sensing. - Hamdam Ghanatian, Luana Benetti, Pedro Anacleto, Tim Böhnert, Hooman Farkhani, Ricardo Ferreira, Farshad Moradi:
Spin-Orbit Torque Flash Analog-to-Digital Converter. - Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado van Hasselt, András György, Satinder Singh:
Optimistic Meta-Gradients. - Judith Yue Li, Aren Jansen, Qingqing Huang, Joonseok Lee, Ravi Ganti, Dima Kuzmin:
MAQA: A Multimodal QA Benchmark for Negation. - Lotte Weedage, Syllas Rangel C. Magalhães, Clara Stegehuis, Suzan Bayhan:
On the resilience of cellular networks: how can national roaming help? - Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov:
Active Learning for Abstractive Text Summarization. - Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle:
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning. - Mitko Gospodinov, Sean MacAvaney, Craig Macdonald:
Doc2Query-: When Less is More. - Quanjun Zhang, Chunrong Fang, Yuxiang Ma, Weisong Sun, Zhenyu Chen:
A Survey of Learning-based Automated Program Repair. - Daniele A. Di Pietro, Jérôme Droniou:
A polytopal method for the Brinkman problem robust in all regimes. - Aris Filos-Ratsikas, Alexandros A. Voudouris:
Revisiting the Distortion of Distributed Voting. - Jie Lou, Yaojie Lu, Dai Dai, Wei Jia, Hongyu Lin, Xianpei Han, Le Sun, Hua Wu:
Universal Information Extraction as Unified Semantic Matching. - Qiongdan Lou, Zhaohong Deng, Kup-Sze Choi, Shitong Wang:
A Robust Multilabel Method Integrating Rule-based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance. - Tao Chen, Miqing Li:
Do Performance Aspirations Matter for Guiding Software Configuration Tuning? - Nishant Mohanty, Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Distributed Multirobot Control for Non-Cooperative Herding. - Gobinda Ghosh, Sudhan Majhi, Shubabrata Paul:
New Binary Optimal Z-Complementary Code Sets with Generalized Boolean Functions. - Gobinda Rakshit:
Asymptotic error analysis for the discrete iterated Galerkin solution of Urysohn integral equations with Green's kernels. - Marc Kydd, Lynsay A. Shepherd:
Deep Breath: A Machine Learning Browser Extension to Tackle Online Misinformation. - Yurid Nugraha, Ahmet Cetinkaya, Tomohisa Hayakawa, Hideaki Ishii, Quanyan Zhu:
A Rolling Horizon Game Considering Network Effect in Cluster Forming for Dynamic Resilient Multiagent Systems. - Darko Drakulic, Sofia Michel, Florian Mai, Arnaud Sors, Jean-Marc Andreoli:
BQ-NCO: Bisimulation Quotienting for Generalizable Neural Combinatorial Optimization. - Bing-Chuan Wang, Yunchuan Qin, Xian-Bing Meng, Zhi-Zhong Liu:
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization. - Joris Pries, Etienne van de Bijl, Jan Klein, Sandjai Bhulai, Rob van der Mei:
The Optimal Input-Independent Baseline for Binary Classification: The Dutch Draw. - Vincent Vandeghinste, Oliver Guhr:
FullStop: Punctuation and Segmentation Prediction for Dutch with Transformers. - Jean-Daniel Boissonnat, Kunal Dutta:
Dimensionality Reduction for Persistent Homology with Gaussian Kernels. - Giacomo Zara, Victor Guilherme Turrisi da Costa, Subhankar Roy, Paolo Rota, Elisa Ricci:
Simplifying Open-Set Video Domain Adaptation with Contrastive Learning. - Pablo Alexei Gazca-Orozco, Vít Prusa, Karel Tuma:
Numerical approximation of a thermodynamically complete rate-type model for the elastic-perfectly plastic response. - Marcello Longo, Christoph Schwab, Andreas Stein:
A-posteriori QMC-FEM error estimation for Bayesian inversion and optimal control with entropic risk measure. - Kunal Dutta, Arijit Ghosh:
Sparse Geometric Set Systems and the Beck-Fiala Conjecture. - Xiang Wang, Shiwei Zhang, Zhiwu Qing, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang:
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition. - Senran Fan, Haotai Liang, Chen Dong, Xiaodong Xu, Geng Liu:
A Specific Task-oriented Semantic Image Communication System for substation patrol inspection. - Edith Heiter, Robin Vandaele, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt:
Topologically Regularized Data Embeddings. - Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, Hai Zhao:
Universal Multimodal Representation for Language Understanding. - Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara:
CaSpeR: Latent Spectral Regularization for Continual Learning. - Yi Geng:
A Novel Waveform Design for OFDM-Based Joint Sensing and Communication System. - Allan V. C. Quadros:
mRpostman: An IMAP Client for R. - (Withdrawn) Classifying Mental-Disorders through Clinicians Subjective Approach based on Three-way Decision.
- Anouk S. Goossens, Majid Ahmadi, Divyanshu Gupta, Ishitro Bhaduri, Bart J. Kooi, Tamalika Banerjee:
Memristive Memory Enhancement by Device Miniaturization for Neuromorphic Computing. - Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter:
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. - CS Reddy, Krishna Anand:
Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture. - Wen Wu, Kaige Qu, Peng Yang, Ning Zhang, Xuemin Shen, Weihua Zhuang:
Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks. - Maxwell McManus, Yuqing Cui, Josh Zhaoxi Zhang, Jiangqi Hu, Sabarish Krishna Moorthy, Zhangyu Guan, Nicholas Mastronarde, Elizabeth Serena Bentley, Michael J. Medley:
Digital Twin-Enabled Domain Adaptation for Zero-Touch UAV Networks: Survey and Challenges. - Ana Vilaça Carrasco, João Silva Sequeira:
Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement Learning. - Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann, Daniel Schäufele, Philipp Geuer, Rafail Ismayilov, Mohammad Parvini, Anton Krause, Martin Kasparick, Thomas Neugebauer, Oscar Dario Ramos-Cantor, Hugues Tchouankem, Jose Leon Calvo, Bo Chen, Slawomir Stanczak, Gerhard P. Fettweis:
Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets. - Caroline Strickland, Chandrika Saha, Muhammad Zakar, Sareh Nejad, Noshin Tasnim, Daniel J. Lizotte, Anwar Haque:
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection. - Albert Piwonski, Julien Dular, Rodrigo Silva Rezende, Rolf Schuhmann:
2D Eddy Current Boundary Value Problems for Power Cables with Helicoidal Symmetry. - David Noever, Kevin Williams:
Chatbots As Fluent Polyglots: Revisiting Breakthrough Code Snippets. - Özgür Baris Akan, Ergin Dinc, Murat Kuscu, Oktay Cetinkaya, Bilgesu Arif Bilgin:
Internet of Everything (IoE) - From Molecules to the Universe. - Hadi Aghaee, Bahareh Akhbari:
One-Shot Achievable Secrecy Rate Regions for Quantum Interference Wiretap Channel. - Moritz Frahm, Thomas Dengiz, Philipp Zwickel, Heiko Maaß, Jörg Matthes, Veit Hagenmeyer:
Occupant-Oriented Demand Response with Room-Individual Building Control. - William B. Schoeler:
A Low-Cost ISM-Band Multi-Transceiver Cognitive Radio. - Julia I. M. Hauser:
Space-Time FEM for the Vectorial Wave Equation under Consideration of Ohm's Law. - Chuyu Xiong:
Exceeding Computational Complexity Trial-and-Error Dynamic Action and Intelligence. - Bartlomiej Siniarski, Chamitha de Alwis, Gokul Yenduri, Thien Huynh-The, Gürkan Gür, Thippa Reddy Gadekallu, Madhusanka Liyanage:
Need of 6G for the Metaverse Realization. - Shiyuan Deng, Shangqi Lu, Yufei Tao:
Space-Query Tradeoffs in Range Subgraph Counting and Listing. - Jean-Sébastien Dessureault, Daniel Massicotte:
AI2: The next leap toward native language based and explainable machine learning framework. - Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin:
Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal. - Michal Stypulkowski, Konstantinos Vougioukas, Sen He, Maciej Zieba, Stavros Petridis, Maja Pantic:
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation. - Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu, Yu Wang:
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration. - Daniel Oliveira Cajueiro, Arthur Gomes Nery, Igor Tavares, Maísa Kely de Melo, Silvia A. dos Reis, Li Weigang, Victor Rafael Rezende Celestino:
A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding. - Matej Grcic, Josip Saric, Sinisa Segvic:
On advantages of Mask-level Recognition for Open-set Segmentation in the Wild. - Andrew Lu, Xudong Lin, Yulei Niu, Shih-Fu Chang:
In Defense of Structural Symbolic Representation for Video Event-Relation Prediction. - César Rennó-Costa:
A double-elimination format for a 48-team FIFA World Cup. - Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng:
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. - Basim Hafidh, Hussein Al Osman, Haiwei Dong, Abdulmotaleb El-Saddik:
A Framework of Reconfigurable Transducer Nodes for Smart Home Environments. - Basim Khajwal, C.-H. Luke Ong, Dominik Wagner:
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing. - Weixin Liu, Xuyi Chen, Jiaxiang Liu, Shikun Feng, Yu Sun, Hao Tian, Hua Wu:
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization. - Nicolas Bousquet, Frédéric Havet, Nicolas Nisse, Lucas Picasarri-Arrieta, Amadeus Reinald:
Digraph redicolouring. - Tai Le Quy, Gunnar Friege, Eirini Ntoutsi:
A review of clustering models in educational data science towards fairness-aware learning. - (Withdrawn) End-to-end Unsupervised Learning of Long-Term 3D Stable objects.
- Fang Xu, Yilei Shi, Patrick Ebel, Wen Yang, Xiao Xiang Zhu:
High-Resolution Cloud Removal with Multi-Modal and Multi-Resolution Data Fusion: A New Baseline and Benchmark. - Roberto Gorrieri:
The Algebra of Nondeterministic Finite Automata. - Zheng Zhang, Yuanwei Liu, Zhaolin Wang, Jian Chen:
STARS-ISAC: How Many Sensors Do We Need? - Rodolfo Bermejo, Jaime Carpio, Laura Saavedra:
New error estimates of Lagrange-Galerkin methods for the advection equation. - Chuhan Yang, Sai Venkata Ramana Ambadipudi, Saif Eddin Jabari:
Generalized adaptive smoothing based neural network architecture for traffic state estimation. - Alexandros Papanikolaou, Aggelos Alevizopoulos, Christos Ilioudis, Konstantinos Demertzis, Konstantinos Rantos:
A Cyber Threat Intelligence Management Platform for Industrial Environments. - Abidrabbo Alnassan:
Automatic Standardization of Arabic Dialects for Machine Translation. - Ali Khalesi, Sajad Daei, Marios Kountouris, Petros Elia:
Multi-User Distributed Computing Via Compressed Sensing. - Muhammad Abbas, Ali Hamayouni, Mahshid Helali Moghadam, Mehrdad Saadatmand, Per Erik Strandberg:
Making Sense of Failure Logs in an Industrial DevOps Environment. - Lukás Vacek, Václav Kucera:
Godunov-like numerical fluxes for conservation laws on networks. - Ziqi Zhang, Tomas Jasaitis, Richard T. Freeman, Rowida Alfrjani, Adam Funk:
Mining Healthcare Procurement Data Using Text Mining and Natural Language Processing - Reflection From An Industrial Project. - Yangyang Xu, Yibo Yang, Lefei Zhang:
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction. - Xiyuan Zhang, Ranak Roy Chowdhury, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Modeling Label Semantics Improves Activity Recognition. - Charles Pierre, Guy Vallet:
A mathematical model of marine mucilage, the case of the liga on the Basque coast. - Michael C. Chavrimootoo, Ian Clingerman, Quan Luu:
A Critique of Sopin's "PH = PSPACE". - Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi:
Unveiling and Mitigating Bias in Ride-Hailing Pricing for Equitable Policy Making. - Guido Borghi, Gabriele Graffieti, Davide Maltoni:
On the challenges to learn from Natural Data Streams. - Diego Baptista, Caterina De Bacco:
Convergence properties of optimal transport-based temporal hypernetworks. - Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof:
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review. - Filip Bjelonic, Joonho Lee, Philip Arm, Dhionis V. Sako, Davide Tateo, Jan Peters, Marco Hutter:
Learning-based Design and Control for Quadrupedal Robots with Parallel-Elastic Actuators. - Huan Peng, Fenggang Liu, Yangguang Li, Bin Huang, Jing Shao, Nong Sang, Changxin Gao:
Parallel Reasoning Network for Human-Object Interaction Detection. - Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer:
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks. - Jean-Daniel Boissonnat, Kunal Dutta, Soumik Dutta, Siddharth Pritam:
Strong Collapse of Random Simplicial Complexes. - Han Wang, Hui Li, Abla Smahi, Yao Yao, Shuo-Yen Robert Li:
MIS: A Multi-Identifier Management and Resolution System Based on Consortium Blockchain in Metaverse. - Terri Elizabeth Workman, Joseph L. Goulet, Cynthia A. Brandt, Allison R. Warren, Jacob Eleazer, Melissa Skanderson, Luke Lindemann, John R. Blosnich, John O. Leary, Qing Zeng-Treitler:
Leveraging Contextual Relatedness to Identify Suicide Documentation in Clinical Notes through Zero Shot Learning. - Arshiya Khan, Chase Cotton:
Efficient Attack Detection in IoT Devices using Feature Engineering-Less Machine Learning. - Vikram Jain, Juan Sebastian Piedrahita Giraldo, Jaro De Roose, Linyan Mei, Bert Boons, Marian Verhelst:
TinyVers: A Tiny Versatile System-on-chip with State-Retentive eMRAM for ML Inference at the Extreme Edge. - Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III:
Federated Coded Matrix Inversion. - Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Efficient Mutation Testing via Pre-Trained Language Models. - Steven Fraser, Dennis Mancl:
Report on the Future of Conferences. - Omar Cheikhrouhou, Khaleel Mershad, Faisal Jamil, Md. Redowan Mahmud, Anis Koubaa, Sanaz Rahimi Moosavi:
A Lightweight Blockchain and Fog-enabled Secure Remote Patient Monitoring System. - Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
FedDebug: Systematic Debugging for Federated Learning Applications. - Saara Tenhunen, Tomi Männistö, Matti Luukkainen, Petri Ihantola:
A systematic literature review of capstone courses in software engineering. - Siyan Li:
Color Me Intrigued: Quantifying Usage of Colors in Fiction. - Qiming Wang, Raul Castro Fernandez:
Data Discovery using Natural Language Questions via a Self-Supervised Approach. - Armin Danesh Pazho, Christopher Neff, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Shanle Yao, Mohammadreza Baharani, Hamed Tabkhi:
Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things. - Nikolaos Tsakas, Maria Lymperaiou, Giorgos Filandrianos, Giorgos Stamou:
An Impartial Transformer for Story Visualization. - Adam J. Thorpe, Cyrus Neary, Franck Djeumou, Meeko M. K. Oishi, Ufuk Topcu:
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control. - Antoine J.-P. Tixier, Matthew R. Hallowell:
Safer Together: Machine Learning Models Trained on Shared Accident Datasets Predict Construction Injuries Better than Company-Specific Models. - Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani K. Mallick:
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction. - Jeffrey Galkowski, Euan A. Spence:
Sharp preasymptotic error bounds for the Helmholtz h-FEM. - Giovanni Interdonato, Stefano Buzzi, Carmen D'Andrea, Luca Venturino, Ciro D'Elia, Paolo Vendittelli:
On the Coexistence of eMBB and URLLC in Multi-cell Massive MIMO. - Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan:
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. - Stephan Kleber, Milan Stute, Matthias Hollick, Frank Kargl:
Network Message Field Type Classification and Recognition for Unknown Binary Protocols. - Stephan Kleber, Frank Kargl:
Refining Network Message Segmentation with Principal Component Analysis. - Hugo Ticona-Salluca, Fred Torres-Cruz, Ernesto Nayer Tumi Figueroa:
Machine Learning Applied to Peruvian Vegetables Imports. - Olivier Binette, Sarvo Madhavan, Jack Butler, Beth Anne Card, Emily Melluso, Christina Jones:
PatentsView-Evaluation: Evaluation Datasets and Tools to Advance Research on Inventor Name Disambiguation. - George Michelogiannakis, Yehia Arafa, Brandon Cook, Liang Yuan Dai, Abdel-Hameed A. Badawy, Madeleine Glick, Yuyang Wang, Keren Bergman, John Shalf:
Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics. - Adam Shostack:
Fast, Cheap and Good: Lightweight Methods Are Undervalued. - Jack Sturgess, Simon Birnbach, Simon Eberz, Ivan Martinovic:
RingAuth: Wearable Authentication using a Smart Ring. - Jingyi Ge:
White-box Inference Attacks against Centralized Machine Learning and Federated Learning. - Dazhi Hu:
Membership Inference Attacks Against Latent Factor Model. - Debangshu Banerjee, Aditya Gopalan:
On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces. - Muhammad Osama, Duane Merrill, Cris Cecka, Michael Garland, John D. Owens:
Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU. - Nicola Guglielmi, Anton Savostianov, Francesco Tudisco:
Quantifying the structural stability of simplicial homology. - Austin Polanco, M. E. J. Newman:
Hierarchical core-periphery structure in networks. - Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell:
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. - Rakpong Kaewpuang, Suttinee Sawadsitang, Dusit Niyato, Han Yu:
Evolutionary Carrier Selection for Shared Truck Delivery Services. - Alok Mishra, Abid M. Malik, Meifeng Lin, Barbara M. Chapman:
OpenMP Advisor. - Svenja M. Griesbach, Felix Hommelsheim, Max Klimm, Kevin Schewior:
Improved Approximation Algorithms for the Expanding Search Problem. - Peng Hu:
SatNetOps: Toward Multi-Layer Networking for Satellite Network Operations. - Tucker Hartland, Georg Stadler, Mauro Perego, Kim Liegeois, Noemi Petra:
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton. - Youcef Magnouche, Sébastien Martin, Jérémie Leguay:
Protected load balancing problem: Neural-network based approximation for non-convex optimization. - Lev McKinney, Yawen Duan, David Krueger, Adam Gleave:
On The Fragility of Learned Reward Functions. - Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser Kandogan:
Towards Multifaceted Human-Centered AI. - Camilo Garcia Trillos, Nicolás García Trillos:
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it. - Jan-Georg Smaus, Christian Schilling, Fabian Wenzelmann:
Implementations of two Algorithms for the Threshold Synthesis Problem. - Dominique Laurent, Nicolas Spyratos:
Consistent Query Answering without Repairs in Tables with Nulls and Functional Dependencies. - Niklas Zwingenberger:
Transformers as Policies for Variable Action Environments. - Rui Xin, Shihan Lin, Xiaowei Yang:
Quantifying User Password Exposure to Third-Party CDNs. - Asadullah Hill Galib, Bidhan Bashyal:
On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense. - Arto Salomaa, Kai Salomaa, Taylor J. Smith:
Descriptional Complexity of Finite Automata - Selected Highlights. - Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener, Devang Parikh:
Transfer learning for conflict and duplicate detection in software requirement pairs. - Khwan Kim, Noah Askin, James A. Evans:
Disrupted Routines Anticipate Musical Exploration. - Rachid EL Mokadem, Yann Ben Maissa, Zineb El Akkaoui:
Federated Learning for Energy Constrained IoT devices: A systematic mapping study. - Argha Sen, Ayan Zunaid, Soumyajit Chatterjee, Basabdatta Palit, Sandip Chakraborty:
Revisiting Cellular Throughput Prediction: Learning in-situ for Multi-device and Multi-network Considerations for 5G. - Guangyuan Hu, Zecheng He, Ruby B. Lee:
SoK: Hardware Defenses Against Speculative Execution Attacks. - Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang:
Neighborhood-Regularized Self-Training for Learning with Few Labels. - Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer:
Scaling Laws for Generative Mixed-Modal Language Models. - Shaswat Mohanty, Sanghyuk Yoo, Keonwook Kang, Wei Cai:
Evaluating the Transferability of Machine-Learned Force Fields for Material Property Modeling. - Gonçalo Querido, Alberto Sardinha, Francisco S. Melo:
Learning to Perceive in Deep Model-Free Reinforcement Learning. - Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica:
Exoshuffle-CloudSort. - Betty Li Hou, Brian Patrick Green:
A Multi-Level Framework for the AI Alignment Problem. - Joel Ferguson:
Total energy-shaping control for mechanical systems via Control-by-Interconnection. - Abdullah Shahid, Siddique Latif, Junaid Qadir:
Generative Emotional AI for Speech Emotion Recognition: The Case for Synthetic Emotional Speech Augmentation. - James Cheung:
Enforcing Neumann Boundary Conditions with Polynomial Extension Operators to Acheive Optimal Convergence Rates on Polytopial Meshes in the Finite Element Method. - Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. - Fei Xiao, Yong Huang, Yingying Zuo, Wei Kuang, Wei Wang:
Over-The-Air Adversarial Attacks on Deep Learning Wi-Fi Fingerprinting. - Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Tensor Denoising via Amplification and Stable Rank Methods. - Tommaso Buvoli, Michael L. Minion:
Exponential Runge-Kutta Parareal for Non-Diffusive Equations. - Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. - Zuntao Hu, Hongcai Zhang:
Optimal Power Flow Based on Physical-Model-Integrated Neural Network with Worth-Learning Data Generation. - Seonguk Seo, Mustafa Gökhan Uzunbas, Bohyung Han, Sara Cao, Joena Zhang, Tai-Peng Tian, Ser-Nam Lim:
Online Backfilling with No Regret for Large-Scale Image Retrieval. - Matyás Bohácek, Marek Hrúz:
Learning from What is Already Out There: Few-shot Sign Language Recognition with Online Dictionaries. - Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Scalable Time-Range k-Core Query on Temporal Graphs(Full Version). - Forrest McKee, David Noever:
Chatbots in a Honeypot World. - Sijie Ji, Yaxiong Xie, Mo Li:
SiFall: Practical Online Fall Detection with RF Sensing. - Sheshera Mysore, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar:
How Data Scientists Review the Scholarly Literature. - Dan Yang, Jindan Xu, Wei Xu, Ning Wang, Bin Sheng, A. Lee Swindlehurst:
Secure Communication for Spatially Correlated Massive MIMO with Low-Resolution DACs. - Manijeh Alipour, Omid Alizadeh Mousavi:
Estimating required flexibility for secure distribution grid operation considering the uncertainties of EV and PV. - Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu:
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. - Ryan M. Aronson, John A. Evans:
Divergence-Conforming Isogeometric Collocation Methods for the Incompressible Navier-Stokes Equations. - Denisa Gandara, Hadis Anahideh, Matthew P. Ison, Anuja Tayal:
Inside the Black Box: Detecting and Mitigating Algorithmic Bias across Racialized Groups in College Student-Success Prediction. - Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu:
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis. - Qifa Yan, Xiaohu Tang, Meixia Tao, Qin Huang:
A Fundamental Tradeoff Among Storage, Computation, and Communication for Distributed Computing over Star Network. - Yunfei Meng, Changbo Ke, Zhiqiu Huang, Guohua Shen, Chunming Liu, Xiaojie Feng:
A Practical Runtime Security Policy Transformation Framework for Software Defined Networks. - Hao Wang:
Fair Recommendation by Geometric Interpretation and Analysis of Matrix Factorization. - Tatsuya Sakai, Takayuki Nagai:
Estimation of User's World Model Using Graph2vec. - Saed Moradi, Alireza Memarmoghadam, Payman Moallem, Mohamad Farzan Sabahi:
Assessing the applicability of common performance metrics for real-world infrared small-target detection. - Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan:
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. - Haogeng Liu, Tao Wang, Ruibo Fu, Jiangyan Yi, Zhengqi Wen, Jianhua Tao:
UnifySpeech: A Unified Framework for Zero-shot Text-to-Speech and Voice Conversion. - Baichuan Mo, Qing Yi Wang, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao:
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network. - Gianluca Cena, Stefano Scanzio, Adriano Valenzano:
Enabling Listening Suspension in the Time Slotted Channel Hopping Protocol. - Sooyeob Jung, Seongah Jeong, Jinkyu Kang, Joonhyuk Kang:
Marine IoT Systems with Space-Air-Sea Integrated Networks: Hybrid LEO and UAV Edge Computing. - Piyush Behre, Sharman Tan, Padma Varadharajan, Shuangyu Chang:
Streaming Punctuation: A Novel Punctuation Technique Leveraging Bidirectional Context for Continuous Speech Recognition. - Hong Ren, Zhiwei Chen, Guosheng Hu, Zhangjie Peng, Cunhua Pan, Jiangzhou Wang:
Transmission Design for Active RIS-Aided Simultaneous Wireless Information and Power Transfer. - Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly:
CDA: Contrastive-adversarial Domain Adaptation. - Kaiping Zheng, Thao Nguyen, Jesslyn Hwei Sing Chong, Charlene Enhui Goh, Melanie Herschel, Hee Hoon Lee, Beng Chin Ooi, Wei Wang, James Wei Luen Yip:
A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset. - Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng:
Dynamic Grained Encoder for Vision Transformers. - Jiafan Zhuang, Zilei Wang, Junjie Li:
Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement. - Junming Cao, Bihuan Chen, Longjie Hu, Jie Gao, Kaifeng Huang, Xin Peng:
Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems. - Gilles Bertrand, Nicolas Boutry, Laurent Najman:
Discrete Morse Functions and Watersheds. - Rei Aso, Tatsuya Chuman, Hitoshi Kiya:
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models. - Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen:
Look Beyond Bias with Entropic Adversarial Data Augmentation. - Chaozheng Wang, Junhao Hu, Cuiyun Gao, Yu Jin, Tao Xie, Hailiang Huang, Zhenyu Lei, Yuetang Deng:
Practitioners' Expectations on Code Completion. - Vincenzo Miracula, Antonio Picone:
The use of new technologies to support Public Administration. Sentiment analysis and the case of the app IO. - Tushar Nagrare, Parul Sindhewad, Faruk Kazi:
BLE Protocol in IoT Devices and Smart Wearable Devices: Security and Privacy Threats. - Zhiqing Wei, Hanyang Qu, Yuan Wang, Xin Yuan, Huici Wu, Ying Du, Kaifeng Han, Ning Zhang, Zhiyong Feng:
Integrated Sensing and Communication Signals Towards 5G-A and 6G: A Survey. - Sayan Bandyapadhyay, Fedor V. Fomin, Tanmay Inamdar, Kirill Simonov:
Proportionally Fair Matching with Multiple Groups. - Michel Nass, Riccardo Coppola, Emil Alégroth, Robert Feldt:
Robust web element identification for evolving applications by considering visual overlaps. - Daniel Gonçalves, Vincent Limouzy, Pascal Ochem:
Contact graphs of boxes with unidirectional contacts. - Thorsten Hempel, Laslo Dinges, Ayoub Al-Hamadi:
Sentiment-based Engagement Strategies for intuitive Human-Robot Interaction. - Eldar Gabdulsattarov, Khaled M. Rabie, Xingwang Li, Galymzhan Nauryzbayev:
Towards Quantum Annealing for Multi-user NOMA-based Networks. - Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi:
Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning. - Luca Castri, Sariah Mghames, Nicola Bellotto:
From Continual Learning to Causal Discovery in Robotics. - Zongwei Liu, Yonghong Song, Yuanlin Zhang:
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework. - Xuan Zhang, Shu Sun, Meixia Tao, Qin Huang, Xiaohu Tang:
Joint Hybrid Beamforming and User Scheduling for Multi-Satellite Cooperative Networks. - Aydin Abadi, Steven J. Murdoch:
Earn While You Reveal: Private Set Intersection that Rewards Participants. - Truls Asheim, Boris Grot, Rakesh Kumar:
A Storage-Effective BTB Organization for Servers. - Yvan Tortorella, Luca Bertaccini, Luca Benini, Davide Rossi, Francesco Conti:
RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration. - Matthew Stephenson, Dennis J. N. J. Soemers, Éric Piette, Cameron Browne:
Measuring Board Game Distance. - Amit Gurung, Masaki Waga, Kohei Suenaga:
Learning nonlinear hybrid automata from input-output time-series data. - Abbas Edalat, Amin Farjudian, Yiran Li:
Recursive Solution of Initial Value Problems with Temporal Discretization. - Ryosuke Hyodo, Susumu Saito, Teppei Nakano, Makoto Akabane, Ryoichi Kasuga, Tetsuji Ogawa:
Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle. - Jiayuan Chen, Changyan Yi, Samuel Dayo Okegbile, Jun Cai, Xuemin Shen:
Networking Technologies for Enabling Human Digital Twin in Personalized Healthcare Applications: A Comprehensive Survey. - Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis:
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. - Md Umar Hashmi, David Brummund, Rickard Lundholm, Arpan Koirala, Dirk Van Hertem:
Consensus based phase connectivity identification for distribution network with limited observability. - Changwen Li, Joseph Sifakis, Qiang Wang, Rongjie Yan, Jian Zhang:
Simulation-based Validation for Autonomous Driving Systems. - Zhenguang Liu, Peng Qian, Jiaxu Yang, Lingfeng Liu, Xiaojun Xu, Qinming He, Xiaosong Zhang:
Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting. - Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo:
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. - Catherine Han, Joseph Seering, Deepak Kumar, Jeffrey T. Hancock, Zakir Durumeric:
Hate Raids on Twitch: Echoes of the Past, New Modalities, and Implications for Platform Governance. - Soran Parsa, Bappaditya Debnath, Muhammad Arshad Khan, Amir Ghalamzan E:
Autonomous Strawberry Picking Robotic System (Robofruit). - Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe:
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models. - Zhuosheng Zhang, Hai Zhao, Longxiang Liu:
Channel-aware Decoupling Network for Multi-turn Dialogue Comprehension. - Hugo Estecahandy:
The Democratic Illusion through the Technological Illusion: a Case Study of the Implementation of a Blockchain to Support an E-voting Platform in Moscow (Active Citizen). - Petri Manninen, Heikki Hyyti, Ville Kyrki, Jyri Maanpää, Josef Taher, Juha Hyyppä:
Towards High-Definition Maps: a Framework Leveraging Semantic Segmentation to Improve NDT Map Compression and Descriptivity. - Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan:
AI based approach to Trailer Generation for Online Educational Courses. - Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown:
A Unified Theory of Diversity in Ensemble Learning. - Debayan Deb, Vishesh Mistry, Rahul Parthe:
AdvBiom: Adversarial Attacks on Biometric Matchers. - Megan Dare, Valentina Fajardo Diaz, Averie Ho Zoen So, Yifan Wang, Shibingfeng Zhang:
Unsupervised Mandarin-Cantonese Machine Translation. - Simon D. Fink, Ignaz Rutter:
Maintaining Triconnected Components under Node Expansion. - Mohd Hamza Naim Shaikh, Sultangali Arzykulov, Abdulkadir Celik, Ahmed M. Eltawil, Galymzhan Nauryzbayev:
Performance of RIS-empowered NOMA-based D2D Communication under Nakagami-m Fading. - Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng:
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification. - Kunal Suri, Atul Singh, Prakhar Mishra, Swapna Sourav Rout, Rajesh Sabapathy:
Language Models sounds the Death Knell of Knowledge Graphs. - Mohak Chadha, Nils Krueger, Jophin John, Anshul Jindal, Michael Gerndt, Shajulin Benedict:
Exploring the Use of WebAssembly in HPC. - Mohd Hamza Naim Shaikh, Khaled M. Rabie, Xingwang Li, Theodoros A. Tsiftsis, Galymzhan Nauryzbayev:
On the Performance of Dual RIS-assisted V2I Communication under Nakagami-m Fading. - Qing Huang, Yanbang Sun, Zhenchang Xing, Min Yu, Xiwei Xu, Qinghua Lu:
API Entity and Relation Joint Extraction from Text via Dynamic Prompt-tuned Language Model. - Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Muñoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra:
SantaCoder: don't reach for the stars! - Alessandro Masat, Camilla Colombo, Arnaud Boutonnet:
GPU-based high-precision orbital propagation of large sets of initial conditions through Picard-Chebyshev augmentation. - Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar:
Vision Transformers Are Good Mask Auto-Labelers. - Nacereddine Sitouah, Fatiha Merazka, Abdenour Hedjazi:
Deep learning approach for interruption attacks detection in LEO satellite networks. - Nan Wu, Dinusha Vatsalan, Mohamed Ali Kâafar, Sanath Kumar Ramesh:
Privacy-Preserving Record Linkage for Cardinality Counting. - Qichen Wang, Xiao Hu, Binyang Dai, Ke Yi:
Change Propagation Without Joins. - Nat Wannawas, A. Aldo Faisal:
Towards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching. - Nat Wannawas, A. Aldo Faisal:
Towards AI-controlled FES-restoration of arm movements: Controlling for progressive muscular fatigue with Gaussian state-space models. - Guangsheng Yu, Xu Wang, Caijun Sun, Qin Wang, Ping Yu, Wei Ni, Ren Ping Liu, Xiwei Xu:
IronForge: An Open, Secure, Fair, Decentralized Federated Learning. - Paula Rodriguez Diaz, Tejumade Afonja, Konstantin Klemmer, Aya Salama, Niveditha Kalavakonda, Oluwafemi Azeez, Simone Fobi:
Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges. - Alaa Alhowaide, Izzat Alsmadi, Jian Tang:
Balanced Datasets for IoT IDS. - Yongjie Yang:
On the Complexity of the Two-Stage Majority Rule. - Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Learning Support and Trivial Prototypes for Interpretable Image Classification. - Ankush Agarwal, Sakharam Gawade, Sachin Channabasavarajendra, Pushpak Bhattacharyya:
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering. - Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
Causal Inference for Recommendation: Foundations, Methods and Applications. - Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot:
Is Federated Learning a Practical PET Yet? - Shuailei Ma, Yuefeng Wang, Shanze Wang, Ying Wei:
FGAHOI: Fine-Grained Anchors for Human-Object Interaction Detection. - Rodney Fonseca, Boaz Nadler:
Distributed Sparse Linear Regression under Communication Constraints. - Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson:
Differentiable modeling to unify machine learning and physical models and advance Geosciences. - Lisa O'Bryan, Santiago Segarra, Jensine Paoletti, Stephanie Zajac, Margaret E. Beier, Ashutosh Sabharwal, Matthew A. Wettergreen, Eduardo Salas:
Conversational Turn-taking as a Stochastic Process on Networks. - Shathushan Sivashangaran, Azim Eskandarian:
Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps. - Mohammadreza Shetab-Bushehri, Miguel Aranda, Youcef Mezouar, Adrien Bartoli, Erol Ozgur:
ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library. - Sirui Li, Roy Dong, Cathy Wu:
Integrated Analysis of Human-compatible Control for Traffic Flow Stability. - Julia I. M. Hauser, Marco Zank:
Numerical study of conforming space-time methods for Maxwell's equations. - Mohammad Hossein Modirrousta, Mahdi Aliyari Shoorehdeli, Mostafa Yari, Arash Ghahremani:
Imbalanced Classification In Faulty Turbine Data: New Proximal Policy Optimization. - Moju Zhao, Tomoki Anzai, Takuzumi Nishio:
Design, Modeling and Control of a Quadruped Robot SPIDAR: Spherically Vectorable and Distributed Rotors Assisted Air-Ground Amphibious Quadruped Robot. - Youshaa Murhij, Alexander Golodkov, Dmitry A. Yudin:
Rethinking Voxelization and Classification for 3D Object Detection. - Xavier Allamigeon, Quentin Canu, Pierre-Yves Strub:
A Formal Disproof of the Hirsch Conjecture. - Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie:
Benchmarking Robustness in Neural Radiance Fields. - Nevin George:
ALMA: Automata Learner using Modulo 2 Multiplicity Automata. - Yanfei Yang:
First-projection-then-regularization hybrid algorithms for large-scale general-form regularization. - Udi Boker, Guy Hefetz:
On the Comparison of Discounted-Sum Automata with Multiple Discount Factors. - Mohammad Esmaeili, Aria Nosratinia:
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables. - Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems. - Ismail Alkhouri, Sumit Kumar Jha, Andre Beckus, George K. Atia, Alvaro Velasquez, Rickard Ewetz, Arvind Ramanathan, Susmit Jha:
On the Robustness of AlphaFold: A COVID-19 Case Study. - Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes:
Investigating Conversational Search Behavior For Domain Exploration. - Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi:
Neural Radiance Field Codebooks. - Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy P. Lillicrap:
Mastering Diverse Domains through World Models. - Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi:
Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers. - Stephan Dahlke, Marc Hovemann, Thorsten Raasch, Dorian Vogel:
Adaptive Quarklet Tree Approximation. - Gian Paramo, Arturo Suman Bretas, Newton G. Bretas:
Proactive and Automatic Underfrequency Load Shedding via PMUs and Particle Filters. - Subhankar Banerjee, Sennur Ulukus, Anthony Ephremides:
Minimizing the Age of Information Over an Erasure Channel for Random Packet Arrivals With a Storage Option at the Transmitter. - Yu-Wen Chen, Hsin-Min Wang, Yu Tsao:
BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithm. - Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Srinivas Sridharan, Christina Delimitrou:
Mystique: Accurate and Scalable Production AI Benchmarks Generation. - Gian Paramo, Arturo S. Bretas, Sean P. Meyn:
High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates. - Adam A. Kohan, Edward A. Rietman, Hava T. Siegelmann:
Temporal Weights. - Siqi Fan, I-Hong Hou, Van Sy Mai:
Dynamic Regret of Randomized Online Service Caching in Edge Computing. - Yevhen Zolotavkin, Yurii Baryshev, Vitalii Lukichov, Jannik Mähn, Stefan Köpsell:
Improving unlinkability in C-ITS: a methodology for optimal obfuscation. - Suryani Lim, Henri Prade, Gilles Richard:
Analogical Relevance Index. - Rong Lu:
Application of machine learning to gas flaring. - Fadime Bekmambetova, Piero Triverio:
Conservation properties of a leapfrog finite-difference time-domain method for the Schrödinger equation. - Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Tobias Meisen:
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments. - Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Pooria Poorsarvi Tehrani, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg:
ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments. - Lars Vogt:
Extending FAIR to FAIREr: Cognitive Interoperability and the Human Explorability of Data and Metadata. - Saksham Goel, Benjamin Mikek, Jehad Aly, Venkat Arun, Ahmed Saeed, Aditya Akella:
Quantitative Verification of Scheduling Heuristics. - Jingjie Wu, Lei Zhou:
Sequential Structure and Control Co-design of Lightweight Precision Stages with Active control of flexible modes. - Yingzhou Lu, Kosaku Sato, Jialu Wang:
Deep Learning based Multi-Label Image Classification of Protest Activities. - Peter Hase, Mohit Bansal, Been Kim, Asma Ghandeharioun:
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models. - Jason Carpenter, Zhi-Li Zhang:
CageCoach: Sharing-Oriented Redaction-Capable Distributed Cryptographic File System. - Murad Tukan, Eli Biton, Roee Diamant:
An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields. - Zander Blasingame, Chen Liu:
Diffusion Models For Stronger Face Morphing Attacks. - Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib:
Explaining Deep Models through Forgettable Learning Dynamics. - Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan:
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images. - Majid Jalili, Mattan Erez:
Harvesting L2 Caches in Server Processors. - Santosh Ganji, Jaewon Kim, Romil Sonigra, P. R. Kumar:
TERRA: Beam Management for Outdoor mm-Wave Networks. - Chris Emmery:
User-Centered Security in Natural Language Processing. - Bin Han, Bill Howe:
Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking. - Patrick Loic Foalem, Foutse Khomh, Heng Li:
Studying Logging Practice in Machine Learning-based Applications. - Mohan Zhao, Kirill Serkh:
A Continuation Method for Fitting a Bandlimited Curve to Points in the Plane. - Hengyuan Zhang, Jing-Yan Liao, David Paz, Henrik I. Christensen:
Robust Human Identity Anonymization using Pose Estimation. - Josh A. Goldstein, Girish Sastry, Micah Musser, Renee DiResta, Matthew Gentzel, Katerina Sedova:
Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations. - Liam Hebert, Lukasz Golab, Robin Cohen:
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. - Tanmay Laud, Daniel Spokoyny, Tom Corringham, Taylor Berg-Kirkpatrick:
ClimaBench: A Benchmark Dataset For Climate Change Text Understanding in English. - Ye Huang, Di Kang, Liang Chen, Wenjing Jia, Xiangjian He, Lixin Duan, Xuefei Zhe, Linchao Bao:
CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder. - Ly Van Nguyen, Hien Quoc Ngo, Le-Nam Tran, A. Lee Swindlehurst, Duy H. N. Nguyen:
Variational Bayes Inference for Data Detection in Cell-Free Massive MIMO. - Veera Sundararaghavan, Megna N. Shah, Jeff P. Simmons:
Towards Microstructural State Variables in Materials Systems. - Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li:
Adversarial Alignment for Source Free Object Detection. - Huan Huang, Ying Zhang, Hongliang Zhang, Chongfu Zhang, Zhu Han:
Illegal Intelligent Reflecting Surface Based Active Channel Aging: When Jammer Can Attack Without Power and CSI. - Quan Nguyen, Nishant A. Mehta:
Adversarial Online Multi-Task Reinforcement Learning. - Noveen Sachdeva, Julian J. McAuley:
Data Distillation: A Survey. - Ben Ding:
LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention. - Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu:
A Multi-Modal Geographic Pre-Training Method. - Peng Liang, Hao Zheng, Teng Su, Linbo Qiao, Dongsheng Li:
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks. - Van Thong Huynh, Hyung-Jeong Yang, Guee-Sang Lee, Soo-Hyung Kim:
Generic Event Boundary Detection in Video with Pyramid Features. - Bidhayak Goswami, Anindya Chatterjee:
Balancing a Stick with Eyes Shut: Inverted Pendulum on a Cart without Angle Measurement. - Diptarama Hendrian, Takuya Takagi, Shunsuke Inenaga, Keisuke Goto, Mitsuru Funakoshi:
Linear Time Online Algorithms for Constructing Linear-size Suffix Trie. - Yalin E. Sagduyu, Sennur Ulukus, Aylin Yener:
Age of Information in Deep Learning-Driven Task-Oriented Communications. - Maxwell Standen, Junae Kim, Claudia Szabo:
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning. - S. R. Siva Prasad Kochi, M. Ramakrishna:
Study of Mach reflection in inviscid flows. - Zhenyu Kang, Changsheng You, Rui Zhang:
Active-IRS-Aided Wireless Communication: Fundamentals, Designs and Open Issues. - Wenting Li, Yuanzhe Cai, Jiahong Xue, Zeyu Chen:
Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk sampling. - Tanujay Saha, Tamjid Al Rahat, Najwa Aaraj, Yuan Tian, Niraj K. Jha:
ML-FEED: Machine Learning Framework for Efficient Exploit Detection (Extended version). - Hansung Kim, Francesco Borrelli:
Facilitating Cooperative and Distributed Multi-Vehicle Lane Change Maneuvers. - Kourosh Darvish, Luigi Penco, Joao Ramos, Rafael Cisneros, Jerry E. Pratt, Eiichi Yoshida, Serena Ivaldi, Daniele Pucci:
Teleoperation of Humanoid Robots: A Survey. - Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen:
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework. - Haibin Wu, Ke Tan, Buye Xu, Anurag Kumar, Daniel Wong:
Rethinking complex-valued deep neural networks for monaural speech enhancement. - Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho:
Dual Learning for Large Vocabulary On-Device ASR. - Mantisha Gupta, Rakesh Kumar Jha, Sanjeev Jain:
Tactile based Intelligence Touch Technology in IoT configured WCN in B5G/6G-A Survey. - Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou-Ammar, Krzysztof Walas, Piotr Skrzypczynski, Jan Peters:
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks. - Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim:
Learnable Path in Neural Controlled Differential Equations. - Sanjukta Halder, Amit Kumar:
An Overview of Artificial Intelligence-based Soft Upper Limb Exoskeleton for Rehabilitation: A Descriptive Review. - Tianxun Zhou, Keng-Hwee Chiam:
Synthetic data generation method for data-free knowledge distillation in regression neural networks. - Mozhgan Talebpour, Alba Garcia Seco de Herrera, Shoaib Jameel:
Topics in Contextualised Attention Embeddings. - Haris Aziz, Alexander Lam, Bo Li, Fahimeh Ramezani, Toby Walsh:
Proportional Fairness in Obnoxious Facility Location. - Bita Azarijoo, Mostafa Salehi, Shaghayegh Najari:
A Meta Path-based Approach for Rumor Detection on Social Media. - Johannes G. Hoffer, Sascha Ranftl, Bernhard C. Geiger:
Robust Bayesian Target Value Optimization. - Damin Zhang:
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models. - Ali Gholami Rudi:
Maximum Centre-Disjoint Mergeable Disks. - Ting Wang, Zongkai Wu, Feiyu Yao, Donglin Wang:
Graph based Environment Representation for Vision-and-Language Navigation in Continuous Environments. - Yuxuan Shi, Shuo Shao, Yongpeng Wu, Wenjun Zhang, Xiang-Gen Xia, Chengshan Xiao:
Excess Distortion Exponent Analysis for Semantic-Aware MIMO Communication Systems. - Prathamesh Mayekar:
Compression for Distributed Optimization and Timely Updates. - Paul Lerner, Olivier Ferret, Camille Guinaudeau:
Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering. - Akhil Pandey Akella, Hamed Alhoori, David Koop:
Reproducibility Signals in Science: A preliminary analysis. - Dongfang Zhao:
Order-Preserving Database Encryption with Secret Sharing. - Chiara Romanengo, Andrea Raffo, Silvia Biasotti, Bianca Falcidieno:
Recognising geometric primitives in 3D point clouds of mechanical CAD objects. - Gilles Leborgne:
Inf-sup condition and locking: Understanding and circumventing. Stokes, Laplacian, bi-Laplacian, Kirchhoff-Love and Mindlin-Reissner locking type, boundary conditions. - Di Wang, Jun-Zhi Shi, Pingping Wang, Shuo Zhuang, Hongyue Li:
Loss-Controlling Calibration for Predictive Models. - Yao Xiao, Ji Xu, Jing Yang, Shaobo Li:
Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks. - Zhenmin Huang, Shaojie Shen, Jun Ma:
Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM. - George Close, William Ravenscroft, Thomas Hain, Stefan Goetze:
Perceive and predict: self-supervised speech representation based loss functions for speech enhancement. - Ehud Shapiro:
Grassroots Distributed Systems: Concept, Examples, Implementation and Applications. - Xinjian Long:
Adaptive Data Path Selection for Durable Transaction in GPU Persistent Memory. - Daniel Adolfsson, Mattias Karlsson, Vladimír Kubelka, Martin Magnusson, Henrik Andreasson:
TBV Radar SLAM - trust but verify loop candidates. - Felipe Almeida, Levent Aksoy, Quang-Linh Nguyen, Sophie Dupuis, Marie-Lise Flottes, Samuel Pagliarini:
Resynthesis-based Attacks Against Logic Locking. - Fernando Alonso-Fernandez, Julian Fiérrez-Aguilar, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez:
Secure access system using signature verification over tablet PC. - Hang Li, Chunmei Su:
A semi-discrete first-order low regularity exponential integrator for the "good" Boussinesq equation without loss of regularity. - José Ángel Martín-Baos, Julio Alberto López-Gómez, Luis Rodriguez-Benitez, Tim Hillel, Ricardo García-Ródenas:
A prediction and behavioural analysis of machine learning methods for modelling travel mode choice. - Nader H. Bshouty:
A Note on Property Testing of the Binary Rank. - Jillian Bommarito, Michael J. Bommarito II, Daniel Martin Katz, Jessica Katz:
GPT as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilities. - Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu:
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis. - Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier:
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval. - Wenbo Shao, Yanchao Xu, Jun Li, Chen Lv, Weida Wang, Hong Wang:
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? - Ashwin Prasad Shivarpatna Venkatesh, Jiawei Wang, Li Li, Eric Bodden:
Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis. - Jedrzej Kozal, Michal Wozniak:
Combining Self-labeling with Selective Sampling. - Wenbo Shao, Yanchao Xu, Liang Peng, Jun Li, Hong Wang:
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective. - Shihao Shen, Louis Kerofsky, Senthil Kumar Yogamani:
Optical Flow for Autonomous Driving: Applications, Challenges and Improvements. - Parikshit Hegde, Gustavo de Veciana, Aryan Mokhtari:
Network Adaptive Federated Learning: Congestion and Lossy Compression. - Zixiang Wang, Jian Yang, Tongliang Li, Jiaheng Liu, Ying Mo, Jiaqi Bai, Longtao He, Zhoujun Li:
Multilingual Entity and Relation Extraction from Unified to Language-specific Training. - Mingkai Tang, Boyi Liu, Yuanhang Li, Hongji Liu, Ming Liu, Lujia Wang:
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information. - Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku:
VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient Document Detection. - Souvik Das, Sougata Saha, Rohini K. Srihari:
Diving Deep into Modes of Fact Hallucinations in Dialogue Systems. - Xiaozhi Deng, Dong Huang, Chang-Dong Wang:
Heterogeneous Tri-stream Clustering Network. - Gabriella Chouraqui, Liron Cohen, Gil Einziger, Liel Leman:
Uncertainty Estimation based on Geometric Separation. - Mayu Nakayama, Masahide Ito:
Trajectory tracking control of the second-order chained form system by using state transitions. - Rabbia Asghar, Lukas Rummelhard, Anne Spalanzani, Christian Laugier:
Allo-centric Occupancy Grid Prediction for Urban Traffic Scene Using Video Prediction Networks. - Yanjun Li, Haibin Kan, Jie Peng, Lijing Zheng, Changhui Chen:
A note on constructions of bent functions. - Albert Alonso, Julius B. Kirkegaard:
Fast spline detection in high density microscopy data. - Mark Rowland, Rémi Munos, Mohammad Gheshlaghi Azar, Yunhao Tang, Georg Ostrovski, Anna Harutyunyan, Karl Tuyls, Marc G. Bellemare, Will Dabney:
An Analysis of Quantile Temporal-Difference Learning. - Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. - Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang:
FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection. - Juyeb Shin, François Rameau, Hyeonjun Jeong, Dongsuk Kum:
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning. - Marcele O. K. Mendonça, Javier Maroto, Pascal Frossard, Paulo S. R. Diniz:
Adversarial training with informed data selection. - Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran:
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model. - Jia Sun, Yinghua Liu, Yizheng Wang, Zhenhan Yao, Xiaoping Zheng:
BINN: A deep learning approach for computational mechanics problems based on boundary integral equations. - Kyle Kai Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, Flora D. Salim:
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. - (Withdrawn) Compositional Net Semantics up to Step Net Bisimilarity.
- Kejun Zhang, Xinda Wu, Tieyao Zhang, Zhijie Huang, Xu Tan, Qihao Liang, Songruoyao Wu, Lingyun Sun:
WuYun: Exploring hierarchical skeleton-guided melody generation using knowledge-enhanced deep learning. - Nils von Nethen, Alexander Wiesmaier, Oliver Weissmann, Nouri Alnahawi:
Managing the Migration to Post-Quantum-Cryptography. - Pavlos Fafalios, Athina Kritsotaki, Martin Doerr:
The SeaLiT Ontology - An Extension of CIDOC-CRM for the Modeling and Integration of Maritime History Information. - Inder Pal Singh, Enjie Ghorbel, Oyebade K. Oyedotun, Djamila Aouada:
Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains. - Jingchao Peng, Haitao Zhao, Zhengwei Hu, Kaijie Zhao, Zhongze Wang:
Dynamic Background Reconstruction via Transformer for Infrared Small Target Detection. - Sayan Ghosh, Karthik Prasad, Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Graham Cormode, Peter Vajda:
Pruning Compact ConvNets for Efficient Inference. - Seyyed AmirHossein Ameli Kalkhoran, Mohammadamin Banayeeanzade, Mahdi Samiei, Mahdieh Soleymani Baghshah:
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning. - Martijn de Vos, Georgy Ishmaev, Johan Pouwelse, Stefanie Roos:
A Deployment-First Methodology to Mechanism Design and Refinement in Distributed Systems. - Marc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis:
Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare. - Matheus Viana da Silva, Natália de Carvalho Santos, Baptiste Lacoste, Cesar Henrique Comin:
A new sampling methodology for creating rich, heterogeneous, subsets of samples for training image segmentation algorithms. - Yannick Assogba, Adam Pearce, Madison A. Elliott:
Large Scale Qualitative Evaluation of Generative Image Model Outputs. - Kuncahyo Setyo Nugroho, Ismail Akbar, Affi Nizar Suksmawati, Istiadi:
Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM. - Richard Brath, Daniel A. Keim, Johannes Knittel, Shimei Pan, Pia Sommerauer, Hendrik Strobelt:
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference. - Parisa Jamadi Khiabani, Arkaitz Zubiaga:
Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings. - Javier Cembrano, Felix A. Fischer, Max Klimm:
Optimal Impartial Correspondences. - Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers. - Nicolas Dejon, Chrystel Gaber, Gilles Grimaud:
From MMU to MPU: adaptation of the Pip kernel to constrained devices. - Wei Guo, Benedetta Tondi, Mauro Barni:
Universal Detection of Backdoor Attacks via Density-based Clustering and Centroids Analysis. - Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay:
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. - Juan M. Tizón:
Burnback Analysis of Solid Propellant Rocket Motors. - Daniel Venturini, Filipe Roseiro Côgo, Ivanilton Polato, Marco AurélioGerosa, Igor Scaliante Wiese:
I depended on you and you broke me: An empirical study of manifesting breaking changes in client packages. - Jan Nordström:
Nonlinear Boundary Conditions for Energy and Entropy Stable Initial Boundary Value Problems in Computational Fluid Dynamics. - Christoph Lüscher, Jingjing Xu, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney:
Improving And Analyzing Neural Speaker Embeddings for ASR. - Rahul Bhadani, Jonathan Sprinkle:
Prototyping Vehicle Control Applications Using the CAT Vehicle Simulator. - Tinghua Li, Bayu Jayawardhana:
Collision-free Source Seeking and Flocking Control of Multi-agents with Connectivity Preservation. - Yongqiang Mao, Kaiqiang Chen, Liangjin Zhao, Wei Chen, Deke Tang, Wenjie Liu, Zhirui Wang, Wenhui Diao, Xian Sun, Kun Fu:
Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery. - Demin Yu, Min Liu, Zhongjie Wang:
A Personalized Utterance Style (PUS) based Dialogue Strategy for Efficient Service Requirement Elicitation. - Max Vladymyrov, Andrey Zhmoginov, Mark Sandler:
Continual Few-Shot Learning Using HyperTransformers. - Alessandro Brighente, Mauro Conti, Denis Donadel, Radha Poovendran, Federico Turrin, Jianying Zhou:
Electric Vehicles Security and Privacy: Challenges, Solutions, and Future Needs. - Dale Schuurmans:
Memory Augmented Large Language Models are Computationally Universal. - Arup Kumar Sarker, Md. Khairul Islam, Yuan Tian:
MVAM: Multi-variant Attacks on Memory for IoT Trust Computing. - Mahesh B. Patil, V. V. S. Pavan Kumar Hari:
Circuit simulation using explicit methods. - Artyom Lobanov, Egor Bogomolov, Yaroslav Golubev, Mikhail Mirzayanov, Timofey Bryksin:
Predicting Tags For Programming Tasks by Combining Textual And Source Code Data. - Jiapeng Zhu, Ceyuan Yang, Yujun Shen, Zifan Shi, Deli Zhao, Qifeng Chen:
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis. - Ido Ben-Shaul, Tomer Galanti, Shai Dekel:
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions. - Fahad Alrasheedi, Xin Zhong, Pei-Chi Huang:
Padding Module: Learning the Padding in Deep Neural Networks. - Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer:
Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input. - Chengzhi Wu, Julius Pfrommer, Jürgen Beyerer, Kangning Li, Boris Neubert:
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding. - Mohammad Karami, Hervé Lombaert, David Rivest-Hénault:
Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning. - Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Morteza Moradi, Concetto Spampinato, Kevin McGuinness:
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. - Ying Chen, Hazer Inaltekin, Maria Gorlatova:
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization. - Nazmul Shahadat, Anthony S. Maida:
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication. - Nazmul Shahadat, Anthony S. Maida:
Deep Axial Hypercomplex Networks. - Yusuf Dalva, Hamza Pehlivan, Cansu Moran, Öykü Irmak Hatipoglu, Aysegül Dündar:
Face Attribute Editing with Disentangled Latent Vectors. - Abhishek Cauligi, R. Michael Swan, Masahiro Ono, Shreyansh Daftry, John Elliott, Larry H. Matthies, Deegan Atha:
ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation. - Nazmul Shahadat, Anthony S. Maida:
Deep Residual Axial Networks. - Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi:
Federated Learning under Heterogeneous and Correlated Client Availability. - Alexander Swerdlow, Runsheng Xu, Bolei Zhou:
Street-View Image Generation from a Bird's-Eye View Layout. - Tianyu Yang, Johannes Maly, Sjoerd Dirksen, Giuseppe Caire:
Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems. - Hugo O. Sousa, Alípio Jorge, Ricardo Campos:
tieval: An Evaluation Framework for Temporal Information Extraction Systems. - Alex Fang, Simon Kornblith, Ludwig Schmidt:
Does progress on ImageNet transfer to real-world datasets? - Chenhao Zheng, Ayush Shrivastava, Andrew Owens:
EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata. - Bo Dong, Pichao Wang, Fan Wang:
Head-Free Lightweight Semantic Segmentation with Linear Transformer. - Naveen Venkat, Mayank Agarwal, Maneesh Kumar Singh, Shubham Tulsiani:
Geometry-biased Transformers for Novel View Synthesis. - Xin Ye, Wenjia Zhang, Shaomeng Wang, Xiaoxuan Yang, Zuyuan He:
Photonic Spatial-Euler Ising Machine for Solving 20000-node Max-cut Problem. - Zeynep Tuna Deger, Gülsen Taskin Kaya, John W. Wallace:
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine. - Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán:
ChatGPT is not all you need. A State of the Art Review of large Generative AI models. - Michael J. Bennington, Tuo Wang, Jiaguo Yin, Sarah Bergbreiter, Carmel Majidi, Victoria A. Webster-Wood:
Design and Characterization of Viscoelastic McKibben Actuators with Tunable Force-Velocity Curves. - Seokbeom Song, Suhyeon Lee, Hongje Seong, Kyoungwon Min, Euntai Kim:
SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation. - Jonathan Gorard:
A Functorial Perspective on (Multi)computational Irreducibility. - Juntao Chen, Junaid Farooq, Quanyan Zhu:
QoS Based Contract Design for Profit Maximization in IoT-Enabled Data Markets. - Zhongpai Gao:
Learning Continuous Mesh Representation with Spherical Implicit Surface. - Eduardo S. Xavier, Nazim Agoulmine, Joberto S. B. Martins:
On Modeling Network Slicing Communication Resources with SARSA Optimization. - David Sayah:
Continuous-Time Formulations for Multi-Mode Project Scheduling. - Jan Engler, Sandipan Sikdar, Marlene Lutz, Markus Strohmaier:
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings. - Taoreed Akinola, Xiangfang Li, Richard Wilkins, Pamela Obiomon, Lijun Qian:
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation. - Atticus Geiger, Christopher Potts, Thomas Icard:
Causal Abstraction for Faithful Model Interpretation. - Karen Yeung, Adam Harkens:
How do "technical" design-choices made when building algorithmic decision-making tools for criminal justice authorities create constitutional dangers? - Karen Yeung, Adam Harkens:
How do "technical" design-choices made when building algorithmic decision-making tools for criminal justice authorities create constitutional dangers? Part II. - Eric Newburger, Michael Correll, Niklas Elmqvist:
Fitting Bell Curves to Data Distributions using Visualization. - Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen:
How To Optimize My Blockchain? A Multi-Level Recommendation Approach. - Georgios Drakopoulos, Phivos Mylonas, Spyros Sioutas:
An Architecture For Cooperative Mobile Health Applications. - Georgios Drakopoulos, Michael Marountas, Xenophon Liapakis, Giannis Tzimas, Phivos Mylonas, Spyros Sioutas:
Blockchain For Mobile Health Applications: Acceleration With GPU Computing. - Ayberk Tosun, Martín Hötzel Escardó:
Patch Locale of a Spectral Locale in Univalent Type Theory. - Chen Zhao, Zhihui Xu, Jingfeng Jiang, Michele Esposito, Drew Pienta, Guang-Uei Hung, Weihua Zhou:
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms. - Joris Pries, Guus Berkelmans, Sandjai Bhulai, Rob van der Mei:
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features. - Yi Liu, Gaurav Datta, Ellen R. Novoseller, Daniel S. Brown:
Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models. - Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin:
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval. - Ananya Rao, Robin R. Murphy, David F. Merrick, Howie Choset:
Analysis of Interior Rubble Void Spaces at Champlain Towers South Collapse. - Marc Glisse:
Fast persistent homology computation for functions on R. - Chi-Hang Suen:
Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample - Application in Gomoku Reinforcement Learning. - Adam Lechowicz, Noman Bashir, John Wamburu, Mohammad H. Hajiesmaili, Prashant J. Shenoy:
Equitable Network-Aware Decarbonization of Residential Heating at City Scale. - Zhihua Liu, Bin Yang, Yan Shen, Xuejun Ni, Huiyu Zhou:
LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound Landmark Tracking. - Gerald Artner:
Artificial Intelligence Generated Coins for Size Comparison. - Ceren Ocal Tasar, Murat Komesli, Murat Osman Ünalir:
Semantic Web Enabled Geographic Question Answering Framework: GeoTR. - Hadi Reisizadeh, Mohammad Ali Maddah-Ali, Soheil Mohajer:
Cache-Aided K-User Broadcast Channels with State Information at Receivers. - Elvira Albert, Jesús Correas, Pablo Gordillo, Guillermo Román-Díez, Albert Rubio:
Inferring Needless Write Memory Accesses on Ethereum Bytecode (Extended Version). - Samuel S. Olivier, Terry S. Haut:
High-Order Mixed Finite Element Variable Eddington Factor Methods. - Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith:
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. - Utkarsh Singh:
The role of hosting capacity study in power system advancements: a review. - Andrew Boutros, Eriko Nurvitadhi, Vaughn Betz:
RAD-Sim: Rapid Architecture Exploration for Novel Reconfigurable Acceleration Devices. - Liri Fang, Lan Li, Yiren Liu, Vetle I. Torvik, Bertram Ludäscher:
KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution. - Chung-Yao Kao, Shinji Hara, Yutaka Hori, Tetsuya Iwasaki, Sei Zhen Khong:
On Phase Change Rate Maximization with Practical Applications. - Christine Pinney, Amifa Raj, Alex Hanna, Michael D. Ekstrand:
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access. - Omer Akgul, Taha Eghtesad, Amit Elazari, Omprakash Gnawali, Jens Grossklags, Michelle L. Mazurek, Daniel Votipka, Aron Laszka:
Bug Hunters' Perspectives on the Challenges and Benefits of the Bug Bounty Ecosystem. - Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Predictive World Models from Real-World Partial Observations. - Yeachan Kim, Seongyeon Kim, Ihyeok Seo, Bonggun Shin:
Phase-shifted Adversarial Training. - Shaonan Wang, Nai Ding, Nan Lin, Jiajun Zhang, Chengqing Zong:
Language Cognition and Language Computation - Human and Machine Language Understanding. - Hunter Monroe:
Isomorphisms Between Impossible and Hard Tasks. - (Withdrawn) On the Structural Generalization in Text-to-SQL.
- Muhammad Osama, Serban D. Porumbescu, John D. Owens:
A Programming Model for GPU Load Balancing. - Nelly Elsayed, Zag ElSayed, Anthony S. Maida:
LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks. - Yilu Guo, Xingyue Shi, Weijie Chen, Shicai Yang, Di Xie, Shiliang Pu, Yueting Zhuang:
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification Track. - Wei Zhao, Binbin Chen, Weijie Chen, Shicai Yang, Di Xie, Shiliang Pu, Yueting Zhuang:
1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track. - Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu:
Adaptive Context Selection for Polyp Segmentation. - Mohamed Akrout, Bálint Gyepesi, Péter Holló, Adrienn Poór, Blága Kincso, Stephen Solis, Katrina Cirone, Jeremy Kawahara, Dekker Slade, Latif Abid, Máté Kovács, István Fazekas:
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images. - Zixuan Chen, Zewei He, Zhe-Ming Lu:
DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention. - Yang Zhao, Lei Fan, Hyungjoon Seo:
Deformation measurement of a soil mixing retaining wall using terrestrial laser scanning. - Giuliano Losa, Eli Gafni:
Consensus in the Unknown-Participation Message-Adversary Model. - Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu:
Data-centric AI: Perspectives and Challenges. - Hongjie Chen, Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel:
Private estimation algorithms for stochastic block models and mixture models. - Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
A Network Science perspective of Graph Convolutional Networks: A survey. - Liangqi Yuan, Lu Su, Ziran Wang:
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application. - Huan Yu, Chenguang Zhao, Tamás G. Molnár:
Safety-Critical Traffic Control by Connected Automated Vehicles. - Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin:
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification. - Liz Izhikevich, Renata Teixeira, Zakir Durumeric:
LZR: Identifying Unexpected Internet Services. - Ling Li, Lin Zhao, Linhao Xu, Jie Xu:
Towards High Performance One-Stage Human Pose Estimation. - Tayyab Nasir, Muhammad Kamran Malik:
SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for Electronic Health Records. - Patrick Schultz, David I. Spivak, Ryan Wisnesky:
Algebraic Model Management: A Survey. - Mariusz Grabowski, Tomasz Kryjak:
Real-time FPGA implementation of the Semi-Global Matching stereo vision algorithm for a 4K/UHD video stream. - Xiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang:
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure. - Cem Akkus, Luyang Chu, Vladana Djakovic, Steffen Jauch-Walser, Philipp Koch, Giacomo Loss, Christopher Marquardt, Marco Moldovan, Nadja Sauter, Maximilian Schneider, Rickmer Schulte, Karol Urbanczyk, Jann Goschenhofer, Christian Heumann, Rasmus Hvingelby, Daniel Schalk, Matthias Aßenmacher:
Multimodal Deep Learning. - Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister:
Neural Spline Search for Quantile Probabilistic Modeling. - Xiaogang Wang, Yuhang Cheng, Liang Wang, Jiangbo Lu, Kai Xu, Guoqiang Xiao:
Edge Preserving Implicit Surface Representation of Point Clouds. - Gilles Callebaut, François Rottenberg, Liesbet Van der Perre, Erik G. Larsson:
Grant-Free Random Access of IoT devices in Massive MIMO with Partial CSI. - Mohammad Mehdi Pourhashem Kallehbasti, Mohammad Ghafari:
Naturalistic Static Program Analysis. - Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li:
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation. - Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao, Nong Sang:
Semantic Segmentation via Pixel-to-Center Similarity Calculation. - Ruijun Chen, Jin Wang, Liang-Chih Yu, Xuejie Zhang:
Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues. - Letterio Galletta, Fabio Pinelli:
Sharpening Ponzi Schemes Detection on Ethereum with Machine Learning. - Zheng Qi, AprilPyone MaungMaung, Hitoshi Kiya:
Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks. - La Mi, Jorge M. Gonçalves, Johan Markdahl:
Asymptotically stable polarization of multi-agent gradient flows over manifolds. - Ke Zhang, Xiahai Zhuang:
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation. - Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito:
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images. - Juan Esteban Suarez Cardona, Phil-Alexander Hofmann, Michael Hecht:
Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces. - Maximilian Schöffel, Johannes Feldmann, Norbert Wehn:
Code-based Cryptography in IoT: A HW/SW Co-Design of HQC. - Tianji Cong, Fatemeh Nargesian, H. V. Jagadish:
Pylon: Semantic Table Union Search in Data Lakes. - Quirin Aumann, Ion Victor Gosea:
Practical challenges in data-driven interpolation: dealing with noise, enforcing stability, and computing realizations. - Yushan Qian, Bo Wang, Shangzhao Ma, Bin Wu, Shuo Zhang, Dongming Zhao, Kun Huang, Yuexian Hou:
Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation. - Francisco Guillén-González, Giordano Tierra:
Energy-stable and boundedness preserving numerical schemes for the Cahn-Hilliard equation with degenerate mobility. - Giovanna Maria Dimitri:
Is Facebook regionally a small world network? - Maciej K. Wozniak, Rebecca Stower, Patric Jensfelt, André Pereira:
What you see is (not) what you get: A VR Framework for Correcting Robot Errors. - Pierre Civit, Seth Gilbert, Rachid Guerraoui, Jovan Komatovic, Manuel Vidigueira:
On the Validity of Consensus. - Wouter Tonnon, Ralf Hiptmair:
Semi-Lagrangian Finite-Element Exterior Calculus for Incompressible Flows. - Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang:
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP. - Shuyue Hu, Harold Soh, Georgios Piliouras:
Heterogeneous Beliefs and Multi-Population Learning in Network Games. - Giovanna Castellano, Eugenio Cotardo, Corrado Mencar, Gennaro Vessio:
Density-based clustering with fully-convolutional networks for crowd flow detection from drones. - Tanvir Kaur, Kaushik Mondal:
Distance-2-Dispersion: Dispersion with Further Constraints. - Thiago D. Simão, Marnix Suilen, Nils Jansen:
Safe Policy Improvement for POMDPs via Finite-State Controllers. - Michail Tarasiou, Erik Chavez, Stefanos Zafeiriou:
ViTs for SITS: Vision Transformers for Satellite Image Time Series. - Savvas Zannettou, Olivia Nemes Nemeth, Oshrat Ayalon, Angelica Goetzen, Krishna P. Gummadi, Elissa M. Redmiles, Franziska Roesner:
Leveraging Rights of Data Subjects for Social Media Analysis: Studying TikTok via Data Donations. - Robert Bayer, Julian Priest, Pinar Tözün:
We are Going to the Space - Part 1: Which device to deploy in a satellite? - Or Streicher, Guy Gilboa:
Graph Laplacian for Semi-Supervised Learning. - Sazan Salar, Hossein Hassani:
A Dataset of Kurdish (Sorani) Named Entities - An Amendment to Kurdish-BLARK Named Entities. - Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He:
Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. - Andreas Haahr Larsen, Emre Brookes, Martin Cramer Pedersen, Jacob Judas Kain Kirkensgaard:
Shape2SAS - a web application to simulate small-angle scattering data and pair distance distributions from user-defined shapes. - Soeren Nolting, Zhen Han, Volker Tresp:
Modeling the evolution of temporal knowledge graphs with uncertainty. - Thomas Kreutz, Ousama Esbel, Max Mühlhäuser, Alejandro Sánchez Guinea:
Unsupervised Driving Event Discovery Based on Vehicle CAN-data. - Mateusz Jaworski, Dariusz Piotrkowski:
Study of software developers' experience using the Github Copilot Tool in the software development process. - Inga Strümke, Marija Slavkovik, Clemens Stachl:
Against Algorithmic Exploitation of Human Vulnerabilities. - Hu Jin:
UAVs Formation Flight under Multiple Obstacle and Communication Constraints. - Sophie Noiret, Siddharth Ravi, Martin Kampel, Francisco Flórez-Revuelta:
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms. - Sebastian Schwarzacher, Bangwei She, Karel Tuma:
Stability and error estimates of a linear numerical scheme approximating nonlinear fluid-structure interactions. - Bharath Shamasundar, Negar Daryanavardan, Aria Nosratinia:
Channel Training and Estimation for Reconfigurable Intelligent Surfaces: Exposition of Principles, Approaches, and Open Problems. - Chengzhi Wu, Linxi Qiu, Kanran Zhou, Julius Pfrommer, Jürgen Beyerer:
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning. - Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans:
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors. - Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov:
Interaction models for remaining useful life estimation. - Rashmi Dutta Baruah, Mario Muñoz Organero:
Explicit Context Integrated Recurrent Neural Network for Sensor Data Applications. - Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun:
Online Hyperparameter Optimization for Class-Incremental Learning. - Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer:
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly. - Ruyuan Wan, Jaehyung Kim, Dongyeop Kang:
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information. - Lénaïg Cornanguer, Christine Largouët, Laurence Rozé, Alexandre Termier:
Persistence-Based Discretization for Learning Discrete Event Systems from Time Series. - Chirag Shah, Ryen W. White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin:
Taking Search to Task. - Nils Weissgerber, Thorsten Jenke, Elmar Padilla, Lilli Bruckschen:
Open SESAME: Fighting Botnets with Seed Reconstructions of Domain Generation Algorithms. - Vahideh Keikha, Maria Saumell:
On Voronoi visibility maps of 1.5D terrains with multiple viewpoints. - Fahad Sarfraz, Elahe Arani, Bahram Zonooz:
Sparse Coding in a Dual Memory System for Lifelong Learning. - George Giakkoupis, Isabella Ziccardi:
Distributed Self-Stabilizing MIS with Few States and Weak Communication. - Marcello Maugeri, Cristian Daniele, Giampaolo Bella, Erik Poll:
Evaluating the Fork-Awareness of Coverage-Guided Fuzzers. - David Lindner, János Kramár, Matthew Rahtz, Thomas McGrath, Vladimir Mikulik:
Tracr: Compiled Transformers as a Laboratory for Interpretability. - Xinsong Zhang, Yan Zeng, Jipeng Zhang, Hang Li:
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks. - Simon Hellmann, Arne-Jens Hempel, Stefan Streif, Sören Weinrich:
Observability and Identifiability Analyses of Process Models for Agricultural Anaerobic Digestion Plants. - Chun Yong Chong, Eunsuk Kang, Mary Shaw:
Open Design Case Study - A Crowdsourcing Effort to Curate Software Design Case Studies. - Eldan R. Daniel:
Wildfire Smoke Detection with Computer Vision. - Christoph Lenzen, Shreyas Srinivas:
Gradient TRIX. - Ignacio Vellido, Juan Fdez-Olivares, Raúl Pérez:
Discovering and Explaining Driver Behaviour under HoS Regulations. - Victor Dalmau, Jakub Oprsal:
Local consistency as a reduction between constraint satisfaction problems. - Aditya Dave, Nishanth Venkatesh, Andreas A. Malikopoulos:
Approximate Information States for Worst-Case Control and Learning in Uncertain Systems. - Tiago Brito, Mafalda Ferreira, Miguel Monteiro, Pedro Lopes, Miguel Barros, José Fragoso Santos, Nuno Santos:
Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages. - V Arvind Rameshwar, Navin Kashyap:
Estimating the Sizes of Binary Error-Correcting Constrained Codes. - Alex Kogan:
Improving Inference Performance of Machine Learning with the Divide-and-Conquer Principle. - Mikolaj Bojanczyk:
Folding interpretations. - Nikolay O. Nikitin, Sergey Teryoshkin, Valerii Pokrovskii, Sergey Pakulin, Denis A. Nasonov:
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment. - Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. - Mikhail Kaluzhsky:
Institutionalization of Digital Trade in the Russian Federation: Countdown. - Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. - Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour:
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning. - Leonie Nora Sieger, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo:
Counterfactual Explanations for Concepts in ELH. - Francesco Pierri, Geng Liu, Stefano Ceri:
ITA-ELECTION-2022: A multi-platform dataset of social media conversations around the 2022 Italian general election. - Stefanie Schneider, Ricarda Vollmer:
Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History. - Sayantan Datta, Negar Goli, Jerry Zhang:
Adaptive Dynamic Global Illumination. - Leonard David Bereholschi, Ching-Chi Lin, Mikail Yayla, Jian-Jia Chen:
HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogeneous Multiprocessor Platforms. - Xu Guo, Yaomeng Li, Yunfeng Xiong:
Distributed local spline simulator for wave propagation. - Filipo Sharevski, Jennifer Vander Loop, Peter Jachim, Amy Devine, Emma Pieroni:
Abortion Misinformation on TikTok: Rampant Content, Lax Moderation, and Vivid User Experiences. - Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble:
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection. - Alexis Newton, Kaustubh D. Dhole:
Is AI Art Another Industrial Revolution in the Making? - Olga Anosova, Vitaliy Kurlin:
Density functions of periodic sequences of continuous events. - Diego Deplano, Mauro Franceschelli, Alessandro Giua:
Novel Stability Conditions for Nonlinear Monotone Systems and Consensus in Multi-Agent Networks. - Andrey Churkin, Miguel Sánchez López, Mohammad Iman Alizadeh, Florin Capitanescu, Eduardo Alejandro Martinez-Ceseña, Pierluigi Mancarella:
Impacts of Distribution Network Reconfiguration on Aggregated DER Flexibility. - Jie Li, George Michelogiannakis, Brandon Cook, Dulanya Cooray, Yong Chen:
Analyzing Resource Utilization in an HPC System: A Case Study of NERSC Perlmutter. - Lingjun Zhao, Khanh Nguyen, Hal Daumé III:
A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities. - Maksimjeet Chowdhary, Sanyam Goyal, Venktesh V, Mukesh K. Mohania, Vikram Goyal:
Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms. - Jack Urbanek, Pratik Ringshia:
Mephisto: A Framework for Portable, Reproducible, and Iterative Crowdsourcing. - Václav Blazej, Jan Matyás Kristan, Tomás Valla:
Computing m-Eternal Domination Number of Cactus Graphs in Linear Time. - Matko Bosnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic:
SemPPL: Predicting pseudo-labels for better contrastive representations. - Chris Heunen, Jesse Sigal:
Duoidally enriched Freyd categories. - Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim:
Signed Directed Graph Contrastive Learning with Laplacian Augmentation. - Yang Cai, Jinzhao Wu:
On the Optimal Fixed-Price Mechanism in Bilateral Trade. - Amir Farakhor, Di Wu, Yebin Wang, Huazhen Fang:
A Novel Modular, Reconfigurable Battery Energy Storage System: Design, Control, and Experimentation. - Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello:
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. - Mariya Hendriksen, Svitlana Vakulenko, Ernst Kuiper, Maarten de Rijke:
Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study. - Diogo C. Luvizon, Marc Habermann, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt:
Scene-Aware 3D Multi-Human Motion Capture from a Single Camera. - Jie Li, Rui Wang, Ghazanfar Ali, Tommy Dang, Alan Sill, Yong Chen:
Workload Failure Prediction for Data Centers. - Kunchi Li, Jun Wan, Shan Yu:
Effective Decision Boundary Learning for Class Incremental Learning. - Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum:
Thompson Sampling with Diffusion Generative Prior. - Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk:
WIRE: Wavelet Implicit Neural Representations. - Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Jiezhang Cao, Kai Zhang, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. - Giovanni Maciel Ferreira Silva, Taufik Abrão:
Multi-Power Level Q-Learning Algorithm for Random Access in NOMA mMTC Systems. - Philip Feldman, Shimei Pan, James R. Foulds:
The Keyword Explorer Suite: A Toolkit for Understanding Online Populations. - Jiarong Lin, Chongjian Yuan, Yixi Cai, Haotian Li, Yuying Zou, Xiaoping Hong, Fu Zhang:
ImMesh: An Immediate LiDAR Localization and Meshing Framework. - Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun:
Accidental Light Probes. - Ivan Sosnovik, Artem Moskalev, Cees Kaandorp, Arnold W. M. Smeulders:
Learning to Summarize Videos by Contrasting Clips. - Neel Nanda, Lawrence Chan, Tom Lieberum, Jess Smith, Jacob Steinhardt:
Progress measures for grokking via mechanistic interpretability. - Saurab Dulal, Lan Wang:
NDNSD: Service Publishing and Discovery in NDN. - Huan Wang, Can Qin, Yue Bai, Yun Fu:
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning. - Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Adversarial Adaptation for French Named Entity Recognition. - Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
Guiding Text-to-Image Diffusion Model Towards Grounded Generation. - Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. - Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. - Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Hao Zhang, Chuang Gan:
See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning. - Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski:
Equivariant Representations for Non-Free Group Actions. - Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
Online Class-Incremental Learning For Real-World Food Classification. - Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks. - Sudhir Agarwal, Anu Sreepathy, Lalla Mouatadid:
A Scalable Technique for Weak-Supervised Learning with Domain Constraints. - Sayantan Datta, Derek Nowrouzezahrai, Christoph Schied, Zhao Dong:
Neural Shadow Mapping. - Syed Tihaam Ahmad, Ayesha Siddique, Khaza Anuarul Hoque:
Security-Aware Approximate Spiking Neural Networks. - Ayesha Siddique, Khaza Anuarul Hoque:
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization. - Patrick Perrine:
Inaccessible Neural Language Models Could Reinvigorate Linguistic Nativism. - Debasree Das, Sandip Chakraborty, Bivas Mitra:
DriCon: On-device Just-in-Time Context Characterization for Unexpected Driving Events. - K. A. Dragunova, A. A. Garashenkova, Ivan D. Remizov:
Numerical Study of the Rate of Convergence of Chernoff Approximations to Solutions of the Heat Equation. - Dhiraj Bhattacharjee, Aizaz U. Chaudhry, Halim Yanikomeroglu, Peng Hu, Guillaume Lamontagne:
Laser Inter-Satellite Link Setup Delay: Quantification, Impact, and Tolerable Value. - Yi Ouyang, Hamidreza Tavafoghi, Demosthenis Teneketzis:
An Approach to Stochastic Dynamic Games with Asymmetric Information and Hidden Actions. - Nikolaos Zygouras, Dimitrios Gunopulos:
A Novel Framework for Handling Sparse Data in Traffic Forecast. - Nikolaos Zygouras, Nikolaos Panagiotou, Yang Li, Dimitrios Gunopulos, Leonidas J. Guibas:
HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments. - Dawei Wang, Weizi Li, Lei Zhu, Jia Pan:
Learning to Control and Coordinate Hybrid Traffic Through Robot Vehicles at Complex and Unsignalized Intersections. - Abubakr Issa, Yossra H. Ali, Tarik A. Rashid:
An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization. - Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components. - Alen Arslanagic, Jorge A. Pérez, Dan Frumin:
A Minimal Formulation of Session Types. - Sunho Jang, Necmiye Ozay, Johanna L. Mathieu:
Probabilistic Constraint Construction for Network-safe Load Coordination. - Sara Khosravi, Hossein Shokri Ghadikolaei, Jens Zander, Marina Petrova:
Reinforcement Learning-based Joint Handover and Beam Tracking in Millimeter-wave Networks. - Caleb Stanford, Margus Veanes:
Incremental Dead State Detection in Logarithmic Time. - Collin Hague, Andrew R. Willis, Dipankar Maity, Artur Wolek:
Planning Visual Inspection Tours for a 3D Dubins Airplane Model in an Urban Environment. - Niall L. Williams, Jiasheng Li, Ming C. Lin:
A Framework for Active Haptic Guidance Using Robotic Haptic Proxies. - Yagmur Çakiroglu, Mesut Sahin:
Algebraic Invariants of Codes on Weighted Projective Spaces. - Yinghao Xu, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou:
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs. - Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. - Yuqian Jiang, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme:
Language-Informed Transfer Learning for Embodied Household Activities. - Jarek Reynolds, Chandra Kanth Nagesh, Danna Gurari:
Salient Object Detection for Images Taken by People With Vision Impairments. - Sil Hamilton:
Blind Judgement: Agent-Based Supreme Court Modelling With GPT. - Matteo Gallici, Mario Martin, Ivan Masmitja:
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems. - Hongjun Wang, Zhiwen Zhang, Zipei Fan, Jiyuan Chen, Lingyu Zhang, Ryosuke Shibasaki, Xuan Song:
Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation. - Alessio Conte, Nicola Cotumaccio, Travis Gagie, Giovanni Manzini, Nicola Prezza, Marinella Sciortino:
Computing matching statistics on Wheeler DFAs. - Simbarashe Nyatsanga, Taras Kucherenko, Chaitanya Ahuja, Gustav Eje Henter, Michael Neff:
A Comprehensive Review of Data-Driven Co-Speech Gesture Generation. - Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan:
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer. - Gennaro Notomista:
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks. - Pradyumna Tambwekar, Matthew C. Gombolay:
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies. - Soheil Behnezhad, Mohammad Roghani, Aviad Rubinstein, Amin Saberi:
Sublinear Algorithms for TSP via Path Covers. - Xiyao Liu, Haitao Chang, Zhenyu Lu, Panfeng Huang:
Data-driven Moving Horizon Estimation for Angular Velocity of Space Noncooperative Target in Eddy Current De-tumbling Mission. - Yu Xing, Karl Henrik Johansson:
Concentration in Gossip Opinion Dynamics over Random Graphs. - Mohammadali Ghafarian, Bijan Shirinzadeh, Ammar Abdulhussein Lafta Al-Jodah, Tilok Kumar Das, Tianyao Shen:
Experimental System Identification and Disturbance Observer-based Control for a Monolithic Zθxθy Precision Positioning System. - Boming Xia, Tingting Bi, Zhenchang Xing, Qinghua Lu, Liming Zhu:
An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead. - Takahiro Mamiya, Shiu Mochiyama, Takashi Hikihara:
Router for wireless power packet transmission: Design and application to intersystem power management. - Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli:
Text to Point Cloud Localization with Relation-Enhanced Transformer. - Chunhui Du, Hao He, Yaohui Jin:
Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution. - Ronnie Edson de Souza Santos, Cleyton V. C. de Magalhães, Paul Ralph:
Benefits and Limitations of Remote Work to LGBTQIA+ Software Professionals. - Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, Di Yang, Tong Xiao, Jingbo Zhu:
Prompting Neural Machine Translation with Translation Memories. - Nicholas Conlon, Aastha Acharya, Nisar R. Ahmed:
AAAI 2022 Fall Symposium: Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA). - Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity. - Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang:
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior. - Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae:
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. - Keshav Kapur, Rajitha Harikrishnan:
MaNLP@SMM4H22: BERT for Classification of Twitter Posts. - Yoshija Walter, Lukas Zbinden:
The problem with AI consciousness: A neurogenetic case against synthetic sentience. - Evan Crothers, Herna L. Viktor, Nathalie Japkowicz:
In BLOOM: Creativity and Affinity in Artificial Lyrics and Art. - Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin:
Knowledge Enhancement for Multi-Behavior Contrastive Recommendation. - Umamaheswara Sharma Bhutamapuram Ravichandra Sadam:
Do the Defect Prediction Models Really Work? - Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. - Himani Sinhmar, Hadas Kress-Gazit:
Guaranteed Encapsulation of Targets with Unknown Motion by a Minimalist Robotic Swarm. - Chaofan Ling, Weihua Li, Junpei Zhong:
Analyzing and Improving the Pyramidal Predictive Network for Future Video Frame Prediction. - Jan Mandel, J. Hirschi, Adam K. Kochanski, Angel Farguell, J. Haley, Derek V. Mallia, Bryan Shaddy, Assad A. Oberai, Kyle A. Hilburn:
Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks. - Han Liu, Yinwei Wei, Jianhua Yin, Liqiang Nie:
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation. - Alon Jacovi:
Trends in Explainable AI (XAI) Literature. - Esha Pahwa, Achleshwar Luthra, Pratik Narang:
LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility. - Marian Bittner, Wei-Tse Yang, Xucong Zhang, Ajay Seth, Jan van Gemert, Frans C. T. van der Helm:
Towards Single Camera Human 3D-Kinematics. - Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang:
Learnable Heterogeneous Convolution: Learning both topology and strength. - Ana-Maria Bucur, Adrian Cosma, Paolo Rosso, Liviu P. Dinu:
It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers. - Jan Martin Nordbotten, Benyamine Benali, Jakub Wiktor Both, Bergit Brattekås, Erlend Storvik, Martin A. Fernø:
DarSIA: An open-source Python toolbox for two-scale image processing of dynamics in porous media. - Roland Croft, Muhammad Ali Babar, M. Mehdi Kholoosi:
Data Quality for Software Vulnerability Datasets. - Baruch Schieber, Pranav Sitaraman:
Quick Minimization of Tardy Processing Time on a Single Machine. - Kristóf Bérczi, Endre Boros, Kazuhisa Makino:
Hypergraph Horn functions. - Julian Schön, Raghavendra Selvan, Lotte Nygård, Ivan Richter Vogelius, Jens Petersen:
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis. - Liwang Zhu, Zhongzhi Zhang:
A Nearly-Linear Time Algorithm for Minimizing Risk of Conflict in Social Networks. - Min Fu, Weidong Mei, Rui Zhang:
Multi-Active/Passive-IRS Enabled Wireless Information and Power Transfer: Active IRS Deployment and Performance Analysis. - Loris Felardos, Jérôme Hénin, Guillaume Charpiat:
Designing losses for data-free training of normalizing flows on Boltzmann distributions. - Romy Lynn Chaib, Rallou Thomopoulos, Catherine Macombe:
Structuring ontologies in a context of collaborative system modelling. - Chen Cecilia Liu, Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych:
Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing. - Noor Fathima Ghouse, Jens Petersen, Auke J. Wiggers, Tianlin Xu, Guillaume Sautière:
Neural Image Compression with a Diffusion-Based Decoder. - Aleksandr Rubashevskii, Daria Kotova, Maxim Panov:
Scalable Batch Acquisition for Deep Bayesian Active Learning. - Xiaoying Zhang, Hongning Wang, Hang Li:
Disentangled Representation for Diversified Recommendations. - Ipek Baris Schlicht, Lucie Flek, Paolo Rosso:
Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion. - Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
Learning Transformations To Reduce the Geometric Shift in Object Detection. - Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
CLIP the Gap: A Single Domain Generalization Approach for Object Detection. - Xiangyu Zhao, Zengxin Qi, Sheng Wang, Qian Wang, Xuehai Wu, Ying Mao, Lichi Zhang:
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation. - Markus Faustmann, Alexander Rieder:
Fractional Diffusion in the full space: decay and regularity. - Chissanupong Jiamsuchon, Jakapan Suaboot, Norrathep Rattanavipanon:
On the feasibility of attacking Thai LPR systems with adversarial examples. - Gustavo Penha, Claudia Hauff:
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues? - Qinghua Lu, Yuxiu Luo, Liming Zhu, MingJian Tang, Xiwei Xu, Jon Whittle:
Operationalising Responsible AI Using a Pattern-Oriented Approach: A Case Study on Chatbots in Financial Services. - Matteo Barbetti, Lucio Anderlini:
Hyperparameter Optimization as a Service on INFN Cloud. - Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt:
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. - Qi Zhao, Shuchang Lyu, Binghao Liu, Lijiang Chen, Hongbo Zhao:
Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation. - Harold Costales, Arpee Callejo-Arruejo, Noel Rafanan:
Development of a Prototype Application for Rice Disease Detection Using Convolutional Neural Networks. - Ruby Kumari, Jai Gopal Pandey, Abhijit Karmakar:
An RTL Implementation of the Data Encryption Standard (DES). - Abdul Sittar, Dunja Mladenic:
Using the profile of publishers to predict barriers across news articles. - Zitai Chen, David F. Oswald:
PMFault: Faulting and Bricking Server CPUs through Management Interfaces. - Peter Binev, Andrea Bonito, Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore, Guergana Petrova:
Solving PDEs with Incomplete Information. - Xuedou Xiao, Mingxuan Yan, Yingying Zuo, Boxi Liu, Paul Ruan, Yang Cao, Wei Wang:
From Ember to Blaze: Swift Interactive Video Adaptation via Meta-Reinforcement Learning. - Abdul Sittar, Dunja Mladenic:
Classification of Cross-cultural News Events. - Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog, Shuo Zhang:
UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems. - Xiangyu Zeng, Yijie Mao, Yuanming Shi:
STAR-RIS Assisted Over-the-Air Vertical Federated Learning in Multi-Cell Wireless Networks. - Sarah Braun, Sebastian Albrecht, Sergio Lucia:
Resilient Model Predictive Control of Distributed Systems Under Attack Using Local Attack Identification. - Nicholas Bieker, Thomas Bläsius, Emil Dohse, Paul Jungeblut:
Recognizing Unit Disk Graphs in Hyperbolic Geometry is ∃R-Complete. - Gerard Guillamet, Adrià Quintanas-Corominas, Matías Rivero, Guillaume Houzeuax, Mariano Vázquez, Albert Turon:
Application of the partial Dirichlet-Neumann contact algorithm to simulate low-velocity impact events on composite structures. - Pyei Phyo Lin, Matthias Wächter, Mohammad Reza Rahimi Tabar, Joachim Peinke:
Discontinuous Jump Behavior of the Energy Conversion in Wind Energy Systems. - Julia Robles, Cristian Martín, Manuel Díaz:
OpenTwins: An open-source framework for the design, development and integration of effective 3D-IoT-AI-powered digital twins. - Xiang Li, Miao He, Haibo Luo, Jiajie Xiao:
DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection. - Mike Sharples:
John Clark's Latin Verse Machine: 19th Century Computational Creativity. - Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner:
The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health. - Carolina Gonçalves, João M. Lopes, Sara Moccia, Daniele Berardini, Lucia Migliorelli, Cristina P. Santos:
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. - Maryam Kahvazi Zadeh, Iman Mokari Bolhassan, Murat Kuscu:
Microfluidic Pulse Shaping Methods for Molecular Communications. - Justin D. Weisz, Michael J. Muller, Jessica He, Stephanie Houde:
Toward General Design Principles for Generative AI Applications. - Lorenzo Ciampiconi, Adam Elwood, Marco Leonardi, Ashraf Mohamed, Alessandro Rozza:
A survey and taxonomy of loss functions in machine learning. - Matthias Kirchhart, Rostislav-Paul Wilhelm:
The Numerical Flow Iteration for the Vlasov-Poisson equation. - Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu:
YOLOv6 v3.0: A Full-Scale Reloading. - Ali Maatouk, Fadhel Ayed, Shi Biao, Wenjie Li, Harvey Bao, Enrico Zio:
A Framework for the Evaluation of Network Reliability Under Periodic Demand. - Jonas Harsch, Simon Sailer, Simon R. Eugster:
A total Lagrangian, objective and intrinsically locking-free Petrov-Galerkin SE(3) Cosserat rod finite element formulation. - Erik Burman, Deepika Garg, Janosch Preuß:
Data assimilation finite element method for the linearized Navier-Stokes equations with higher order polynomial approximation. - Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo:
Sem@K: Is my knowledge graph embedding model semantic-aware? - Shiye Lei, Dacheng Tao:
A Comprehensive Survey to Dataset Distillation. - Kangcheng Liu:
A LiDAR-Inertial-Visual SLAM System with Loop Detection. - Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong:
Differentially Private Continual Releases of Streaming Frequency Moment Estimations. - Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Heiner Stuckenschmidt:
Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition. - Giorgio Nicola, Enrico Villagrossi, Nicola Pedrocchi:
Co-manipulation of soft-materials estimating deformation from depth images. - Lihong Feng, Luigi Lombardi, Giulio Antonini, Peter Benner:
Multi-fidelity error estimation accelerates greedy model reduction of complex dynamical systems. - Hans Rosenberger, Johanna S. Fröhlich, Ali Bereyhi, Ralf R. Müller:
Linear Computation Coding: Exponential Search and Reduced-State Algorithms. - Nabeel Gillani, Rebecca Eynon:
Understanding and improving social factors in education: a computational social science approach. - Dongsheng Yang, Wataru Sato, Qianying Liu, Takashi Minato, Shushi Namba, Shin'ya Nishida:
Optimizing Facial Expressions of an Android Robot Effectively: a Bayesian Optimization Approach. - Fred L. Bookstein:
Reworking geometric morphometrics into a methodology of transformation grids. - Chao-Chen Gao, Cheng-Hsiu Chen, Jheng-Wei Su, Hung-Kuo Chu:
Layout-guided Indoor Panorama Inpainting with Plane-aware Normalization. - Tengjiao Wang, Yongxi Liu, Ming Zhang, Wei E. I. Sha, Cen Ling, Chao Li, Shaobo Wang:
Channel Measurement for Holographic MIMO: Benefits and Challenges of Spatial Oversampling. - Tengjiao Wang, Wei Han, Zhimeng Zhong, Jiyong Pang, Guohua Zhou, Shaobo Wang, Qiang Li:
Electromagnetic-Compliant Channel Modeling and Performance Evaluation for Holographic MIMO. - Romain Cravic, Nicolas Gast, Bruno Gaujal:
Decentralized model-free reinforcement learning in stochastic games with average-reward objective. - Marc Höftmann, Jan Robine, Stefan Harmeling:
Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm. - Shuai Wang, ChiYung Yam, Shuguang Chen, Lihong Hu, Liping Li, Faan-Fung Hung, Jiaqi Fan, Chi-Ming Che, Guanhua Chen:
Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach. - Mostafa Eslami, Afshin Banazadeh:
Data-Assisted Control - A Framework Development by Exploiting NASA GTM Platform. - Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol:
Mutation Testing of Deep Reinforcement Learning Based on Real Faults. - Partha Das Chowdhury, Maria Sameen, Jenny Blessing, Nicholas Boucher, Joseph Gardiner, Tom Burrows, Ross J. Anderson, Awais Rashid:
Threat Models over Space and Time: A Case Study of E2EE Messaging Applications. - Shachar Lovett, Jiapeng Zhang:
Streaming Lower Bounds and Asymmetric Set-Disjointness. - Artjoms Sela, Ben Nagy, Joanna Byszuk, Laura Hernández-Lorenzo, Botond Szemes, Maciej Eder:
From stage to page: language independent bootstrap measures of distinctiveness in fictional speech. - Patrick Jonk, Vincent de Vries, Rombout Wever, Georgios Sidiropoulos, Evangelos Kanoulas:
Natural Language Processing of Aviation Occurrence Reports for Safety Management. - Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi:
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. - Anna Maria Kerkmann, Simon Cramer, Jörg Rothe:
Altruism in Coalition Formation Games. - Paul Beame, Niels Kornerup:
Cumulative Memory Lower Bounds for Randomized and Quantum Computation. - Princewill Okoroafor, Vaishnavi Gupta, Robert Kleinberg, Eleanor Goh:
Non-Stochastic CDF Estimation Using Threshold Queries. - Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander:
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. - Xiaomeng Chu, Jiajun Deng, Yuan Zhao, Jianmin Ji, Yu Zhang, Houqiang Li, Yanyong Zhang:
OA-BEV: Bringing Object Awareness to Bird's-Eye-View Representation for Multi-Camera 3D Object Detection. - Jie Gui, Tuo Chen, Qiong Cao, Zhenan Sun, Hao Luo, Dacheng Tao:
A Survey of Self-Supervised Learning from Multiple Perspectives: Algorithms, Theory, Applications and Future Trends. - Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. - Constantin Enea, Parisa Fathololumi, Eric Koskinen:
The Commutativity Quotients of Concurrent Objects. - Payam Delgosha, Venkat Anantharam:
A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs. - Noah Ford, John Winder, Josh McClellan:
Adaptive Neural Networks Using Residual Fitting. - Alexander Gurung, Mojtaba Komeili, Arthur Szlam, Jason Weston, Jack Urbanek:
Infusing Commonsense World Models with Graph Knowledge. - Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende:
Laser: Latent Set Representations for 3D Generative Modeling. - Bogumil Kaminski, Pawel Pralat, François Théberge:
Artificial Benchmark for Community Detection with Outliers (ABCD+o). - Kathrin Hanauer, Monika Henzinger, Lara Ost, Stefan Schmid:
Dynamic Demand-Aware Link Scheduling for Reconfigurable Datacenters. - Samer B. Nashed, Justin Svegliato, Su Lin Blodgett:
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities. - Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers:
Bridging the Gap Between Single and Multi Objective Games. - Surin Ahn, Justin Grana, Yafet Tamene, Kristian Holsheimer:
Local Model Explanations and Uncertainty Without Model Access. - Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, Byung-Jun Yoon:
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows. - Merim Dzaferagic, Jose A. Ayala-Romero, Marco Ruffini:
ML Approach for Power Consumption Prediction in Virtualized Base Stations. - Maciej Sypetkowski, Morteza Rezanejad, Saber Saberian, Oren Kraus, John Urbanik, James Taylor, Ben Mabey, Mason Victors, Jason Yosinski, Alborz Rezazadeh Sereshkeh, Imran S. Haque, Berton Earnshaw:
RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods. - Henrique Correia Torres Santos, Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira:
PESC - Parallel Experiment for Sequential Code. - Jazmia Henry:
MLOps: A Primer for Policymakers on a New Frontier in Machine Learning. - Iurii Medvedev, Farhad Shadmand, Nuno Gonçalves:
Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition. - Asef Islam, Anthony Ronco, Stephen M. Becker, Jeremiah Blackburn, Johannes C. Schittny, Kyoungmi Kim, Rebecca Stein-Wexler, Anthony S. Wexler:
Lung airway geometry as an early predictor of autism: A preliminary machine learning-based study. - Francisco Bernal, Jorge Morón-Vidal, Juan A. Acebrón:
A hybrid probabilistic domain decomposition algorithm suited for very large-scale elliptic PDEs. - Shuan Dong, Bin Wang, Jin Tan, Cameron J. Kruse, Brad W. Rockwell, Kelsey Horowitz, Anderson Hoke:
Analysis of November 21, 2021, Kaua'i Island Power System 18-20 Hz Oscillations. - Garrett Bingham, Risto Miikkulainen:
Efficient Activation Function Optimization through Surrogate Modeling. - Anne Liu, Thomas Trogdon:
An artificially-damped Fourier method for dispersive evolution equations. - Yaoyao Liu, Bernt Schiele, Qianru Sun:
RMM: Reinforced Memory Management for Class-Incremental Learning. - Subhash Sagar, Chang-Sun Li, Seng W. Loke, Jinho Choi:
Poisoning Attacks and Defenses in Federated Learning: A Survey. - Chen Zhou, Ghassan AlRegib, Armin Parchami, Kunjan Singh:
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior. - Sirui Hu, Ling Feng, Xiaohan Yang, Yongchao Chen:
FedSSC: Shared Supervised-Contrastive Federated Learning. - Ross Greer, Akshay Gopalkrishnan, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi:
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context. - Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, Mohan M. Trivedi:
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction. - Shuai Ma, Ying Lei, Xinru Wang, Chengbo Zheng, Chuhan Shi, Ming Yin, Xiaojuan Ma:
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making. - Aline Bessa, Majid Daliri, Juliana Freire, Cameron Musco, Christopher Musco, Aécio S. R. Santos, Haoxiang Zhang:
Weighted Minwise Hashing Beats Linear Sketching for Inner Product Estimation. - Christopher Brix, Mark Niklas Müller, Stanley Bak, Taylor T. Johnson, Changliu Liu:
First Three Years of the International Verification of Neural Networks Competition (VNN-COMP). - John Lazzari, Xiuwen Liu:
Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics. - Michael V. Klibanov, Alexandre A. Timonov:
A comparative study of two globally convergent numerical methods for acoustic tomography. - Kundan Patil, Shrushti Kale, Jaivanti Dhokey, Abhishek Gulhane:
Deepfake Detection using Biological Features: A Survey. - Hangxin Liu, Zeyu Zhang, Ziyuan Jiao, Zhenliang Zhang, Minchen Li, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu:
Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps. - Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo:
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges. - Harshvardhan Uppaluru, Hossein Rastgoftar:
Experimental Evaluation of Multi-Agent System Collision-Free Coordination Using Ideal Fluid-Flow Models. - Francesco Betti Sorbelli, Punyasha Chatterjee, Federico Corò, Lorenzo Palazzetti, Cristina M. Pinotti:
A Novel Multi-Layer Framework for BVLoS Drone Operation: A Preliminary Study. - Ross Greer, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi:
(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework. - Souhaib Attaiki, Maks Ovsjanikov:
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching. - Clinton Enwerem, John S. Baras, Danilo Romero:
Distributed Optimal Formation Control for an Uncertain Multiagent System in the Plane. - Ross Greer, Lulua Rakla, Samveed Desai, Afnan Alofi, Akshay Gopalkrishnan, Mohan M. Trivedi:
CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems. - Jing Wei, Sungdong Kim, Hyunhoon Jung, Young-Ho Kim:
Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data. - Meng Li, Senbo Wang, Weihao Yuan, Weichao Shen, Zhe Sheng, Zilong Dong:
S2Net: Accurate Panorama Depth Estimation on Spherical Surface. - Rizeng Chen, Haokun Li, Bican Xia, Tianqi Zhao, Tao Zheng:
Isolating Bounded and Unbounded Real Roots of a Mixed Trigonometric-Polynomial. - Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Xuefeng Jiang, Runhan Li:
Survey of Knowledge Distillation in Federated Edge Learning. - Ruo Li, Yixiao Lu, Yanli Wang:
Hermite spectral method for the inelastic Boltzmann equation. - Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials. - Jian Guan, Mingjie Xie, Youtian Lin, Guangjun He, Pengming Feng:
EARL: An Elliptical Distribution aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images. - Jinyang Wang, Tao Wang, Min Gan, George C. Hadjichristofi:
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking. - Animesh Singhal, Sahil Modi, Abhishek Gupta, Leena Vachhani, Omkar A. Ghag:
Pendulum Actuated Spherical Robot: Dynamic Modeling & Analysis for Wobble & Precession. - Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Liò:
A Comprehensive Survey of Graph-level Learning. - Pu Pang, Gang Deng, Kaihao Bai, Quan Chen, Shixuan Sun, Bo Liu, Yu Xu, Hongbo Yao, Zhengheng Wang, Xiyu Wang, Zheng Liu, Zhuo Song, Yong Yang, Tao Ma, Minyi Guo:
Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level. - Fatima Haouari, Tamer Elsayed:
Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study. - Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia, Shaolun Yao, Tingjun Hou, Mingli Song:
Recent advances in artificial intelligence for retrosynthesis. - Erland Hilman Fuadi, Aristo Renaldo Ruslim, Putu Wahyu Kusuma Wardhana, Novanto Yudistira:
Gated Self-supervised Learning For Improving Supervised Learning. - Florian Heinrichs, Mavin Heim, Corinna Weber:
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification. - Songchun Zhang, Chunhui Zhao:
Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes. - Paramita Koley, Aurghya Maiti, Niloy Ganguly, Sourangshu Bhattacharya:
Opponent-aware Role-based Learning in Team Competitive Markov Games. - Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu:
TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat. - Petr N. Vabishchevich:
Nonlinear approximation of functions based on non-negative least squares solver. - Hafiz Muhammad Bilal:
Design and Development of Wall Climbing Robot. - Pau Gallés, Katalin Takáts, Javier Marín:
Object Detection performance variation on compressed satellite image datasets with iquaflow. - Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, Widanalage Dhammika Widanage, Theodoros Damoulas:
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. - Erik Isai Valle Salgado, Haoxin Yan, Yue Hong, Peiyuan Zhu, Shidong Zhu, Chengwei Liao, Yanxiang Wen, Xiu Li, Xiang Qian, Xiaohao Wang, Xinghui Li:
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy. - Yuran Zhang, Jiajie Zou, Nai Ding:
Acoustic correlates of the syllabic rhythm of speech: Modulation spectrum or local features of the temporal envelope. - Nam G. Luu, Thanh T. Banh:
Static, dynamic and stability analysis of multi-dimensional functional graded plate with variable thickness using deep neural network. - Pietro Talli, Francesco Pase, Federico Chiariotti, Andrea Zanella, Michele Zorzi:
Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression. - Xin Jin, Wu Zhou, Jinyu Wang, Duo Xu, Yiqing Rong, Shuai Cui:
An Order-Complexity Model for Aesthetic Quality Assessment of Symbolic Homophony Music Scores. - XueTao Jiang, Meiyu Jiang, Qingguo Zhou:
Day-Ahead PV Power Forecasting Based on MSTL-TFT. - Xiangning Xie, Xiaotian Song, Zeqiong Lv, Gary G. Yen, Weiping Ding, Yanan Sun:
Efficient Evaluation Methods for Neural Architecture Search: A Survey. - Linan Huang, Quanyan Zhu:
An Introduction of System-Scientific Approaches to Cognitive Security. - Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li:
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. - Enrique Vidal, Alejandro H. Toselli, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
End-to-End Page-Level Assessment of Handwritten Text Recognition. - Zhuo-Ran Chen, Seak-Weng Vong, Ze-Jia Xie:
A tensor SVD-like decomposition based on the semi-tensor product of tensors. - Kareem Allam, Xiaohong Iris Wang, Songlin Zhang, Jianmin Ding, Kevin Chiu, Karan Saluja, Amer Wahed, Hongxia Sun, Andy N. D. Nguyen:
Deep Learning Provides Rapid Screen for Breast Cancer Metastasis with Sentinel Lymph Nodes. - Gonzalo Munilla Garrido, Vivek Nair, Dawn Song:
SoK: Data Privacy in Virtual Reality. - Sarad Venugopalan, Heiko Aydt:
Improving Confidentiality for NFT Referenced Data Stores. - Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras:
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. - Sarad Venugopalan, Heiko Aydt:
Dance of the DAOs: Building Data Assets as a Use Case. - Damien Sileo:
tasksource: Structured Dataset Preprocessing Annotations for Frictionless Extreme Multi-Task Learning and Evaluation. - Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ming-Ming Cheng:
Towards Spatial Equilibrium Object Detection. - Alessandro Galeazzi, Antonio Peruzzi, Emanuele Brugnoli, Marco Delmastro, Fabiana Zollo:
Unveiling the Hidden Agenda: Biases in News Reporting and Consumption. - Feng Dai, Vladimir N. Temlyakov:
Universal discretization and sparse sampling recovery. - George A. Chernishev, Michael Polyntsov, Anton Chizhov, Kirill Stupakov, Ilya Shchuckin, Alexander Smirnov, Maxim Strutovsky, Alexey Shlyonskikh, Mikhail Firsov, Stepan Manannikov, Nikita Bobrov, Daniil Goncharov, Ilia Barutkin, Vladislav Shalnev, Kirill Muraviev, Anna Rakhmukova, Dmitriy Shcheka, Anton Chernikov, Dmitrii Mandelshtam, Mikhail Vyrodov, Arthur Saliou, Eduard Gaisin, Kirill Smirnov:
Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint). - Nikolos Gurney, John H. Miller, David V. Pynadath:
The Role of Heuristics and Biases During Complex Choices with an AI Teammate. - Junming Wang, Yi Shi:
Design of GNSS-RTK Landslide Monitoring System Based on Improved Raida Criterion. - Teham Bhuiyan, Linh Kästner, Yifan Hu, Benno Kutschank, Jens Lambrecht:
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation. - Xian Yu, Siqian Shen:
Risk-Averse Reinforcement Learning via Dynamic Time-Consistent Risk Measures. - Sungu Kim, Kumar Saurabh, Makrand A. Khanwale, Ali Mani, Robbyn K. Anand, Baskar Ganapathysubramanian:
Direct numerical simulation of electrokinetic transport phenomena: variational multi-scale stabilization and octree-based mesh refinement. - Okyaz Eminaga, Timothy Jiyong Lee, T. Jessie Ge, Eugene Shkolyar, Mark A. Laurie, Jin Long, Lukas Graham Hockman, Joseph C. Liao:
Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence. - Iván Vallés-Pérez, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrano-López, Joan Vila-Francés, Juan Gómez-Sanchís:
Empirical study of the modulus as activation function in computer vision applications. - Gangli Liu:
Min-Max-Jump distance and its applications. - Evangelos Pournaras, Mark Christopher Ballandies, Stefano Bennati, Chien-Fei Chen:
Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial Intelligence. - Tai-Quan Peng, Jonathan J. H. Zhu:
Understanding Online Behaviors through a Temporal Lens. - Hongxiang Li, Meng Cao, Xuxin Cheng, Zhihong Zhu, Yaowei Li, Yuexian Zou:
Generating Templated Caption for Video Grounding. - Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li:
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. - Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Rationalizing Predictions by Adversarial Information Calibration. - Lu Han, Han-Jia Ye, De-Chuan Zhan:
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. - Jiayi Han, Longbin Zeng, Liang Du, Weiyang Ding, Jianfeng Feng:
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning. - Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu:
Diffusion-based Generation, Optimization, and Planning in 3D Scenes. - Chengze Lu, Xiaojie Jin, Zhicheng Huang, Qibin Hou, Ming-Ming Cheng, Jiashi Feng:
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition. - Kai Jia, Hongwen Zhang, Liang An, Yebin Liu:
Delving Deep into Pixel Alignment Feature for Accurate Multi-view Human Mesh Recovery. - Yu Wang:
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes. - Charles Swisher, Lior Shamir:
A data science and machine learning approach to continuous analysis of Shakespeare's plays. - Zhenglong Zhou, Geshi Yeung, Anna C. Schapiro:
Self-recovery of memory via generative replay. - Aye Thaw Da Naing, Justin Soh Beng Guan, Yarzar Shwe Win, Jonathan Pan:
A Review on the effectiveness of Dimensional Reduction with Computational Forensics: An Application on Malware Analysis. - Sahand Karimi-Arpanahi, S. Ali Pourmousavi:
Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy. - Renwang Li, Shu Sun, Meixia Tao:
Applicable Regions of Spherical and Plane Wave Models for Extremely Large-Scale Array Communications. - Jian Ma:
Identifying Time Lag in Dynamical Systems with Copula Entropy based Transfer Entropy. - Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus:
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search. - Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang:
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. - Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, Shaoli Huang, Yong Zhang, Hongwei Zhao, Hongtao Lu, Xi Shen:
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations. - Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso:
Planning for Learning Object Properties. - Yasufumi Moriya, Gareth J. F. Jones:
Improving Noise Robustness for Spoken Content Retrieval using Semi-supervised ASR and N-best Transcripts for BERT-based Ranking Models. - Arshad Javeed:
Hawk: An Industrial-strength Multi-label Document Classifier. - Linchao Bao, Haoxian Zhang, Yue Qian, Tangli Xue, Changhai Chen, Xuefei Zhe, Di Kang:
Learning Audio-Driven Viseme Dynamics for 3D Face Animation. - Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger:
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. - Tao Yan, Qingguo Xu, Jiyu Luo, Jingwei Sun, Guangzhong Sun:
Synthesizing Proxy Applications for MPI Programs. - Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach, Andrey Ustyuzhanin:
Symbolic expression generation via Variational Auto-Encoder. - Shangyi Sun, Chunpu Huang, Rui Zhang, Lulu Chen, Yukai Huang, Ming Yan, Jie Wu:
A Comprehensive Study on Optimizing Systems with Data Processing Units. - Andreas Himmel, Janine Matschek, Rudolph Kok, Bruno Morabito, Hoang Hai Nguyen, Rolf Findeisen:
Machine Learning for Process Control of (Bio)Chemical Processes. - Naci Saldi:
Linear Mean-Field Games with Discounted Cost. - Takato Yasuno, Masahiro Okano, Junichiro Fujii:
MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation. - Leander Melms, Robert R. Ilesan, Ulrich Köhler, Olaf Hildebrandt, Regina Conradt, Jens Eckstein, Cihan Atila, Sami Matrood, Bernhard Schieffer, Jürgen R. Schaefer, Tobias Müller, Julius Obergassel, Nadine Schlicker, Martin C. Hirsch:
Training one model to detect heart and lung sound events from single point auscultations. - Sundas Munir, Walid Taha:
Pre-deployment Analysis of Smart Contracts - A Survey. - Ananya Sadana, Nikita Thakur, Nikita Poria, Astika Anand, Seeja K. R:
Comprehensive Literature Survey on Deep Learning used in Image Memorability Prediction and Modification. - Shuchang Zhou:
A Survey on Human Action Recognition. - Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen:
Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition. - Liheng Bian, Xinrui Zhan, Xuyang Chang, Daoyu Li, Rong Yan, Yinuo Zhang, Haowen Ruan, Jun Zhang:
Scattering-induced entropy boost for highly-compressed optical sensing and encryption. - Kim Hammar, Rolf Stadler:
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers. - Sylvain Bouveret, Hugo Gilbert, Jérôme Lang, Guillaume Méroué:
Thou Shalt not Pick all Items if Thou are First: of Strategyproof and Fair Picking Sequences. - Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong, Mohammad H. Hajiesmaili:
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. - Daniel Pook-Kolb, Erik Agrell, Bruce Allen:
The Voronoi Region of the Barnes-Wall Lattice Λ16. - Sania Zahan, Ghulam Mubashar Hassan, Ajmal Mian:
Learning Sparse Temporal Video Mapping for Action Quality Assessment in Floor Gymnastics. - Ashwin Jacob, Michal Wlodarczyk, Meirav Zehavi:
Long Directed Detours: Reduction to 2-Disjoint Paths. - Tale Bakken Ulfsby, André Massing, Simon Sticko:
Stabilized cut discontinuous Galerkin methods for advection-reaction problems on surfaces. - Weiming Li, Chang Liu, Peng Song:
Unified Gas-Kinetic Particle Method for Frequency-dependent Radiation Transport. - Chuanmin Jia, Feng Ye, Huifang Sun, Siwei Ma, Wen Gao:
Learning to Compress Unmanned Aerial Vehicle (UAV) Captured Video: Benchmark and Analysis. - Federico Pernici, Matteo Bruni, Claudio Baecchi, Alberto Del Bimbo:
Maximally Compact and Separated Features with Regular Polytope Networks. - Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan:
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation. - Kyle Burke, Craig Tennenhouse:
Forced Capture Hnefatafl. - Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, Deyu Meng:
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images. - Basel Barakat, Qiang Huang:
Improving Reliability of Fine-tuning with Block-wise Optimisation. - Alessandro Abate, Alec Edwards, Mirco Giacobbe, Hashan Punchihewa, Diptarko Roy:
Quantitative Verification With Neural Networks For Probabilistic Programs and Stochastic Systems. - Ismaïl Baaj:
Max-min Learning of Approximate Weight Matrices from Fuzzy Data. - Yiqin Zhao, Sean Fanello, Tian Guo:
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality. - Lucas Mol, Narad Rampersad, Jeffrey O. Shallit:
Dyck Words, Pattern Avoidance, and Automatic Sequences. - Ze-Jia Xie, Xiao-Qing Jin, Zhi Zhao:
Some Tucker-like approximations based on the modal semi-tensor product. - Yutao Chen, Anthony Ephremides:
Minimizing Age of Incorrect Information over a Channel with Random Delay. - Rachid Belmeskine, Abed Benaichouche:
Inpainting borehole images using Generative Adversarial Networks. - Zhiqiang Cai, Junpyo Choi, Min Liu:
Least-Squares Neural Network (LSNN) Method for Linear Advection-Reaction Equation: General Discontinuous Interface. - Julian Gutierrez, Szymon Kowara, Sarit Kraus, Thomas Steeples, Michael J. Wooldridge:
Cooperative Concurrent Games. - Shu Zhong, Miriam Ribul, Youngjun Cho, Marianna Obrist:
TextileNet: A Material Taxonomy-based Fashion Textile Dataset. - Fred Lu, Edward Raff, James Holt:
A Coreset Learning Reality Check. - David W. Archer, Borja de Balle Pigem, Dan Bogdanov, Mark Craddock, Adrià Gascón, Ronald Jansen, Matjaz Jug, Kim Laine, Robert McLellan, Olga Ohrimenko, Mariana Raykova, Andrew Trask, Simon Wardley:
UN Handbook on Privacy-Preserving Computation Techniques. - Jorge A. V. Tohalino, Thiago C. Silva, Diego R. Amancio:
Using citation networks to evaluate the impact of text length on the identification of relevant concepts. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Extended Adaptive Observer for Linear Systems with Overparametrization. - Vasiliki Demertzi, Stavros Demertzis, Konstantinos Demertzis:
An Overview of Privacy Dimensions on Industrial Internet of Things (IIoT). - Ben Hoar, Roshini Ramachandran, Marc Levis, Erin Sparck, Ke Wu, Chong Liu:
Summative Student Course Review Tool Based on Machine Learning Sentiment Analysis to Enhance Life Science Feedback Efficacy. - Bello Shehu Bello, Muhammad Abubakar Alhassan, Isa Inuwa-Dutse:
#EndSARS Protest: Discourse and Mobilisation on Twitter. - Xingmeng Zhao, Xavier Walton, Suhana Shrestha, Anthony Rios:
Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News. - Nicholas Murray-Hill, Laura Fontes, Pedro Machado, Isibor Kennedy Ihianle:
Secure Video Streaming Using Dedicated Hardware. - Helmi Trabelsi, Kaiwen Zhang:
Early Detection for Multiversion Concurrency Control Conflicts in Hyperledger Fabric. - Niharika Shimona D'Souza:
Bayesian Models of Functional Connectomics and Behavior. - Yiqin Zhao, Chongyang Ma, Haibin Huang, Tian Guo:
LitAR: Visually Coherent Lighting for Mobile Augmented Reality. - Michael Perez, Corey Toler-Franklin:
CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Survey. - Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel:
BuildSeg: A General Framework for the Segmentation of Buildings. - André Santos, João Dinis Ferreira, Onur Mutlu, Gabriel Falcão:
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs. - Marek Kwiek, Lukasz Szymula:
Young Male and Female Scientists: A Quantitative Exploratory Study of the Changing Demographics of the Global Scientific Workforce. - Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag:
Who Should Predict? Exact Algorithms For Learning to Defer to Humans. - Abhinav Gupta, Pierre F. J. Lermusiaux:
Generalized Neural Closure Models with Interpretability. - Kwangho Kim, Edward H. Kennedy, José R. Zubizarreta:
Doubly Robust Counterfactual Classification. - Yufei Huang, Mohsen A. Jafari:
Risk-aware Vehicle Motion Planning Using Bayesian LSTM-Based Model Predictive Control. - Sergey Goncharov:
Shades of Iteration: from Elgot to Kleene. - Matthias Walter:
The Binary Linearization Complexity of Pseudo-Boolean Functions. - Tzu-Han Hsu, César Sánchez, Sarai Sheinvald, Borzoo Bonakdarpour:
Efficient Loop Conditions for Bounded Model Checking Hyperproperties. - Gengrui Zhang, Yunhao Mao, Shiquan Zhang, Shashank Motepalli, Fei Pan, Hans-Arno Jacobsen:
V-Guard: An Efficient Permissioned Blockchain for Achieving Consensus under Dynamic Memberships in V2X Networks. - Alexander Kilpatrick:
What artificial intelligence might teach us about the origin of human language. - Yan Wu, Jingyi Su, David D. Moran, Chris D. Near:
Automated Software Testing Starting from Static Analysis: Current State of the Art. - Songlin Xu, Xinyu Zhang:
Modeling Human Cognition with a Hybrid Deep Reinforcement Learning Agent. - Xin Yuan, Shuyan Hu, Wei Ni, Ren Ping Liu, Xin Wang:
Learning-based Intelligent Surface Configuration, User Selection, Channel Allocation, and Modulation Adaptation for Jamming-resisting Multiuser OFDMA Systems. - Taylor Bradley, Elie Alhajjar, Nathaniel D. Bastian:
Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification. - Pierre-Yves Lajoie, Giovanni Beltrame:
Swarm-SLAM : Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems. - Tianyue Cao, Bowen Zhang, Zhao Jin, Yongzhi Cao, Hanpin Wang:
A separation logic for sequences in pointer programs and its decidability. - Sina Shaham, Gabriel Ghinita, Cyrus Shahabi:
Supporting Secure Dynamic Alert Zones Using Searchable Encryption and Graph Embedding. - Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang:
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. - Emek Baris Küçüktabak, Yue Wen, Sangjoon J. Kim, Matthew R. Short, Daniel Ludvig, Levi J. Hargrove, Eric J. Perreault, Kevin M. Lynch, José Pons:
Haptic Transparency and Interaction Force Control for a Lower-Limb Exoskeleton. - Ozan Candogan, Yiding Feng:
Mobility Data in Operations: The Facility Location Problem. - Xiaowei Chen, Xiao Jiang, Jiawei Fang, Shihui Guo, Juncong Lin, Minghong Liao, Guoliang Luo, Hongbo Fu:
DisPad: Flexible On-Body Displacement of Fabric Sensors for Robust Joint-Motion Tracking. - Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath:
Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes. - Yushan Han, Hui Zhang, Huifang Li, Yi Jin, Congyan Lang, Yidong Li:
Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges. - Dehua Liu, Selasi Kwashie, Yidi Zhang, Guangtong Zhou, Michael Bewong, Xiaoying Wu, Xi Guo, Keqing He, Zaiwen Feng:
An Efficient Approach for Discovering Graph Entity Dependencies (GEDs). - Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Rui Zhang:
Adaptive Depth Graph Attention Networks. - Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan:
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. - Nhat Le, Alexis Plasencia Leos, Juan Henriquez, Anh Phuong Ngo, Hieu T. Nguyen:
Analyze the Effects of COVID-19 on Energy Storage Systems: A Techno-Economic Approach. - Bo Zhang, Yuchen Guo, Runzhao Yang, Zhihong Zhang, Jiayi Xie, Jinli Suo, Qionghai Dai:
DarkVision: A Benchmark for Low-light Image/Video Perception. - Hanjia Lyu, Jinsheng Pan, Zichen Wang, Jiebo Luo:
Computational Assessment of Hyperpartisanship in News Titles. - Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans:
The Role of Baselines in Policy Gradient Optimization. - Kai Liu, Xucheng Wan, Ziqing Du, Huan Zhou:
Improving Target Speaker Extraction with Sparse LDA-transformed Speaker Embeddings. - Zhongxiao Jia, Kailiang Zhang:
An augmented matrix-based CJ-FEAST SVDsolver for computing a partial singular value decomposition with the singular values in a given interval. - Youxin Pang, Yong Zhang, Weize Quan, Yanbo Fan, Xiaodong Cun, Ying Shan, Dongming Yan:
DPE: Disentanglement of Pose and Expression for General Video Portrait Editing. - Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei W. Hwu:
PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks. - A. Venkata Subramanyam:
Meta Generative Attack on Person Reidentification. - Matthew R. DeVerna, Rachith Aiyappa, Wanying Zhao, Manita Pote, Bao Tran Truong, David Axelrod, Aria Pessianzadeh, Zoher Kachwala, Munjung Kim, Ozgur Can Seckin, Minsuk Kim, Sunny Gandhi, Amrutha Manikonda, Francesco Pierri, Filippo Menczer, Kai-Cheng Yang:
A multi-platform collection of social media posts about the 2022 U.S. midterm elections. - Mustapha Hamad, Michèle A. Wigger, Mireille Sarkiss:
Strong Converses using Typical Changes of Measures and Asymptotic Markov Chains. - Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. - Jonathan C. Balloch, Zhiyu Lin, Robert Wright, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Julia M. Kim, Mark O. Riedl:
Neuro-Symbolic World Models for Adapting to Open World Novelty. - Umamaheswara Sharma Bhutamapuram, Ravichandra Sadam:
The Probabilistic Bounds on the Feasibility of the Defect Prediction Models in Real-World Testing Environments. - Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee:
Stability Analysis of Sharpness-Aware Minimization. - Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Min Yang, Yuxin Song, Fu Li, Weiping Wang, Xiangyang Ji, Wanli Ouyang:
UATVR: Uncertainty-Adaptive Text-Video Retrieval. - Ehsan ul Haq, Haris Bin Zia, Reza Hadi Mogavi, Gareth Tyson, Yang K. Lu, Tristan Braud, Pan Hui:
A Twitter Dataset for Pakistani Political Discourse. - Rui Sun, Xiuyu Wu, Yunfang Wu:
An Error-Guided Correction Model for Chinese Spelling Error Correction. - Youngjae Song, Sung Kuk Shyn, Kwangsu Kim:
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification. - Paolo Cifani, Sagy Ephrati, Milo Viviani:
Sparse-stochastic model reduction for 2D Euler equations. - Miryam Gnazzo, Nicola Guglielmi:
Computing the closest singular matrix polynomial. - Sophie Arana, Jacques Pesnot Lerousseau, Peter Hagoort:
Deep Learning Models to Study Sentence Comprehension in the Human Brain. - Darius Sas, Paris Avgeriou:
An architectural technical debt index based on machine learning and architectural smells. - Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever:
PyExperimenter: Easily distribute experiments and track results. - Kostiantyn Khabarlak:
Post-Train Adaptive U-Net for Image Segmentation. - Francisco de Sousa Fernandes, Joao Pecas Lopes:
Assessment of frequency stability behaviour regarding inertia reduction due to high renewable integration in the Iberian system. - Andrea Coletta, Flavio Giorgi, Gaia Maselli, Matteo Prata, Domenicomichele Silvestri, Jonathan D. Ashdown, Francesco Restuccia:
A2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems. - Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup:
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach. - Mingtang Li, Giacomo Livan, Simone Righi:
Quantifying the dynamics of peak innovation in scientific careers. - Jeongkyun Park, Jung-Wook Hwang, Kwanghee Choi, Seung-Hyun Lee, Jun Hwan Ahn, Rae-Hong Park, Hyung-Min Park:
OLKAVS: An Open Large-Scale Korean Audio-Visual Speech Dataset. - Wolfgang Erb:
Krylov subspace methods to accelerate kernel machines on graphs. - Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du:
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. - Keyu Li, Yangxin Xu, Ziqi Zhao, Max Q.-H. Meng:
Closed-Loop Magnetic Manipulation for Robotic Transesophageal Echocardiography. - Bohan Liu, He Zhang, Liming Dong, Zhiqi Wang, Shanshan Li:
Metrics for Software Process Simulation Modeling. - Jiwan Hur, Jae Young Lee, Jaehyun Choi, Junmo Kim:
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images. - Peng Ye, Tong He, Baopu Li, Tao Chen, Lei Bai, Wanli Ouyang:
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search. - Youmna Farag, Charlotte O. Brand, Jacopo Amidei, Paul Piwek, Tom Stafford, Svetlana Stoyanchev, Andreas Vlachos:
Opening up Minds with Argumentative Dialogues. - Andreas Johnsson, Bob Melander, Mats Björkman:
DietTopp: A first implementation and evaluation of a simplified bandwidth measurement method. - Mojtaba Mokhtari, Xintong Wang, Jorgen Amdahl:
Numerical analysis of pit-to-crack transition under corrosion fatigue using a stochastic pit generation algorithm. - Elsa Rizk, Stefan Vlaski, Ali H. Sayed:
Enforcing Privacy in Distributed Learning with Performance Guarantees. - Daisuke Inoue, Yuji Ito, Takahito Kashiwabara, Norikazu Saito, Hiroaki Yoshida:
Convergence Analysis of the Upwind Difference Methods for Hamilton-Jacobi-Bellman Equations. - Sebastian Lotter, Lukas Brand, Vahid Jamali, Maximilian Schäfer, Helene M. Loos, Harald Unterweger, Sandra Greiner, Jens Kirchner, Christoph Alexiou, Dietmar Drummer, Georg Fischer, Andrea Buettner, Robert Schober:
Experimental Research in Synthetic Molecular Communications - Part I: Overview and Short-Range Systems. - Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira:
Mind the Gap - Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand. - (Withdrawn) AI Alignment Dialogues: An Interactive Approach to AI Alignment in Support Agents.
- Novel Certad, Walter Morales-Alvarez, Georg Novotny, Cristina Olaverri-Monreal:
JKU-ITS Automobile for Research on Autonomous Vehicles. - Sebastian Lotter, Lukas Brand, Vahid Jamali, Maximilian Schäfer, Helene M. Loos, Harald Unterweger, Sandra Greiner, Jens Kirchner, Christoph Alexiou, Dietmar Drummer, Georg Fischer, Andrea Buettner, Robert Schober:
Experimental Research in Synthetic Molecular Communications - Part II: Long-Range Communication. - Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh:
Neighborhood-based Hypergraph Core Decomposition. - Zhichao Wei, Xiaohao Chen, Mingqiang Chen, Siyu Zhu:
Learning Aligned Cross-modal Representations for Referring Image Segmentation. - Animesh Singhal, Sahil Modi, Abhishek Gupta, Leena Vachhani:
Wobble control of a pendulum actuated spherical robot. - Matteo Iovino, Christian Smith:
Behavior Trees for Robust Task Level Control in Robotic Applications. - Bianca Trinkenreich, Klaas-Jan Stol, Anita Sarma, Daniel M. Germán, Marco Aurélio Gerosa, Igor Steinmacher:
Do I Belong? Modeling Sense of Virtual Community Among Linux Kernel Contributors. - Michael Schwarz, Simmo Saan, Helmut Seidl, Julian Erhard, Vesal Vojdani:
Clustered Relational Thread-Modular Abstract Interpretation with Local Traces. - Xiaotong Li, Zixuan Hu, Jun Liu, Yixiao Ge, Yongxing Dai, Ling-Yu Duan:
Modeling Uncertain Feature Representation for Domain Generalization. - Snehal Bhayani, Janne Heikkilä, Zuzana Kukelova:
Sparse resultant based minimal solvers in computer vision and their connection with the action matrix. - Hai Liu, Chengju Li, Cunsheng Ding:
Five infinite families of binary cyclic codes and their related codes with good parameters. - Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang:
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association. - Xinxing Yang, Genke Yang, Jian Chu:
The Balanced Matrix Factorization for Computational Drug Repositioning. - Francesco Conte, Federico Silvestro, Andrea Vinci, Anna Rita Di Fazio:
Optimal Coordination and Discount Allocation in Residential Renewable Energy Communities with Smart Home Appliances. - Maxime Flin, Mohsen Ghaffari, Magnús M. Halldórsson, Fabian Kuhn, Alexandre Nolin:
A Distributed Palette Sparsification Theorem. - Kinyugo Maina:
Msanii: High Fidelity Music Synthesis on a Shoestring Budget. - Georges-André Silber:
Towards an Automatic Consolidation of French Law. - Matteo Lavit Nicora, Sebastian Beyrodt, Dimitra Tsovaltzi, Fabrizio Nunnari, Patrick Gebhard, Matteo Malosio:
Towards social embodied cobots: The integration of an industrial cobot with a social virtual agent. - Shengxian Wang, Xiaojie Chen, Zhilong Xiao, Attila Szolnoki, Vítor V. Vasconcelos:
Optimization of institutional incentives for cooperation in structured populations. - Geovana Ramos Sousa Silva, Edna Dias Canedo:
Towards User-Centric Guidelines for Chatbot Conversational Design. - Julian Linke, Saskia Wepner, Gernot Kubin, Barbara Schuppler:
Using Kaldi for Automatic Speech Recognition of Conversational Austrian German. - Aymene Mohammed Bouayed, David Naccache:
Simplex Autoencoders. - Thai Le, Ye Yiran, Yifan Hu, Dongwon Lee:
CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. - Giambattista Amati, Antonio Cruciani, Simone Angelini, Daniele Pasquini, Paola Vocca:
Computing Distance-based metrics on Very Large Graphs. - Subrato Sarkar:
A Computationally Efficient Vectorized Implementation of Localizing Gradient Damage Method in MATLAB. - Dipa Ghosh, Tanisha Chauhan, Sarthok Sircar:
Implicit-explicit time integration method for fractional advection-reaction-diffusion equations. - Meryam Chaieb, Mohamed Aymen Saied:
Automate migration to microservices architecture using Machine Learning techniques. - Maria Teresa Parreira, Sarah Gillet, Iolanda Leite:
Robot Duck Debugging: Can Attentive Listening Improve Problem Solving? - Zhanteng Xie, Philip M. Dames:
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles. - Léon Victor, Alexandre Meyer, Saïda Bouakaz:
Pose Metrics: a New Paradigm for Character Motion Edition. - Katrin Hartwig, Frédéric Doell, Christian Reuter:
The Landscape of User-centered Misinformation Interventions - A Systematic Literature Review. - Zhaohui Huang, Vasilis Friderikos:
Optimal Mobility Aware Wireless Edge Cloud Support for the Metaverse. - Lorenzo Miretti, Renato L. G. Cavalcante, Emil Björnson, Slawomir Stanczak:
UL-DL duality for cell-free massive MIMO with per-AP power and information constraints. - Ankit Kumar Upadhyay, Harsit Kumar Upadhya:
XNLI 2.0: Improving XNLI dataset and performance on Cross Lingual Understanding (XLU). - Franco Paviotti, Esteban Buniak, Rodrigo Ramele, Orestes Freixes, Juan Miguel Santos:
Equilivest: A Robotic Vest to aid in Post-Stroke Dynamic Balance Rehabilitation. - Pengsheng Li, Qingfeng Du, Shengjie Zhao:
KEWS: A Evaluation Method of Workload Simulation based on KPIs. - Mohammad Tahaei, Ruba Abu-Salma, Awais Rashid:
Stuck in the Permissions With You: Developer & End-User Perspectives on App Permissions & Their Privacy Ramifications. - Sophie Mildenberger, Michael Quellmalz:
A double Fourier sphere method for d-dimensional manifolds. - Jerry Ng, Haruhiko H. Asada:
Data-Driven Encoding: A New Numerical Method for Computation of the Koopman Operator. - Cheng Qian, Haode Qi, Gengyu Wang, Ladislav Kunc, Saloni Potdar:
Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants. - Rabia Ahmed, Ahsan Mehmood, Muhammad Mahboob Ur Rahman, Octavia A. Dobre:
A Deep Learning & Fast Wavelet Transform-based Hybrid Approach for Denoising of PPG Signals. - Benjamin Poole, Minwoo Lee:
Error-related Potential Variability: Exploring the Effects on Classification and Transferability. - Lucian-Cristian Iacob, Maarten Schoukens, Roland Tóth:
Finite Dimensional Koopman Form of Polynomial Nonlinear Systems. - Hunsoo Song, Jinha Jung:
A Fully Automated and Scalable Surface Water Mapping with Topographic Airborne LiDAR Data. - Ahmed Elnaggar, Hazem Essam, Wafaa Salah-Eldin, Walid Moustafa, Mohamed Elkerdawy, Charlotte Rochereau, Burkhard Rost:
Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling. - Madhumita Sushil, Atul J. Butte, Ewoud Schuit, Maarten van Smeden, Artuur M. Leeuwenberg:
Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine. - Zdenek Dvorák:
An efficient implementation and a strengthening of Alon-Tarsi list coloring method. - Hongming Li, Shujian Yu, José C. Príncipe:
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. - Andre Lustosa, Tim Menzies:
Optimizing Predictions for Very Small Data Sets: a case study on Open-Source Project Health Prediction. - Karolis Zilius, Tasos Spiliotopoulos, Aad van Moorsel:
A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns. - Peratham Wiriyathammabhum:
TEDB System Description to a Shared Task on Euphemism Detection 2022. - Peratham Wiriyathammabhum:
PromptShots at the FinNLP-2022 ERAI Tasks: Pairwise Comparison and Unsupervised Ranking. - Christopher Tran, Keith Burghardt, Kristina Lerman, Elena Zheleva:
Data-Driven Estimation of Heterogeneous Treatment Effects. - Peratham Wiriyathammabhum:
ClassBases at CASE-2022 Multilingual Protest Event Detection Tasks: Multilingual Protest News Detection and Automatically Replicating Manually Created Event Datasets. - Theodor Cimpeanu, Francisco C. Santos, The Anh Han:
Does Spending More Always Ensure Higher Cooperation? An Analysis of Institutional Incentives on Heterogeneous Networks. - Md. Hasanur Rashid, Youbiao He, Forrest Sheng Bao, Dong Dai:
IOPathTune: Adaptive Online Parameter Tuning for Parallel File System I/O Path. - Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation. - Ping Chang, Huayu Li, Stuart F. Quan, Janet Roveda, Ao Li:
TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting. - (Withdrawn) Masked Vector Quantization.
- Kyle Mahowald, Anna A. Ivanova, Idan Asher Blank, Nancy Kanwisher, Joshua B. Tenenbaum, Evelina Fedorenko:
Dissociating language and thought in large language models: a cognitive perspective. - David D. Nguyen, Surya Nepal, Salil S. Kanhere:
Diverse Multimedia Layout Generation with Multi Choice Learning. - Fuchang Gao:
Ae2I: A Double Autoencoder for Imputation of Missing Values. - Fuchang Gao, Boyu Zhang:
Data-aware customization of activation functions reduces neural network error. - Nicholas D. Laws, Michael E. Webber:
Valuing Distributed Energy Resources for Non-Wires Alternatives. - Xiaofan Yu, Ludmila Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing:
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. - Goran Zuzic, Bernhard Haeupler, Antti Roeyskoe:
Sparse Semi-Oblivious Routing: Few Random Paths Suffice. - Zhongyang Zhang, Kaidong Chai, Haowen Yu, Ramzi Majaj, Francesca Walsh, Edward Jay Wang, Upal Mahbub, Hava T. Siegelmann, Donghyun Kim, Tauhidur Rahman:
Neuromorphic High-Frequency 3D Dancing Pose Estimation in Dynamic Environment. - Vincent Zhihao Zheng, Seongjin Choi, Lijun Sun:
Enhancing Deep Traffic Forecasting Models with Dynamic Regression. - Leena Alghamdi, Mamtaj Akter, Jess Kropczynski, Pamela J. Wisniewski, Heather Lipford:
Co-designing Community-based Sharing of Smarthome Devices for the Purpose of Co-monitoring In-home Emergencies. - (Withdrawn) Free Lunch for Generating Effective Outlier Supervision.
- Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter. - Gias Uddin, Md. Abdullah Al Alamin, Ajoy Das:
An Empirical Study of Deep Learning Sentiment Detection Tools for Software Engineering in Cross-Platform Settings. - Xiang Zhang, Qiao Wang:
Graph Topology Learning Under Privacy Constraints. - Murilo M. Marinho, Hung-Ching Lin, Jiawei Zhao:
UMIRobot: An Open-{Software, Hardware} Low-Cost Robotic Manipulator for Education. - Hiroyuki Ootomo, Akira Naruse:
Custom 8-bit floating point value format for reducing shared memory bank conflict in approximate nearest neighbor search. - Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao:
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. - Parsa Delavari, Gulcenur Ozturan, Özgür Yilmaz, Ipek Oruc:
Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images. - Kazuma Kobayashi, Bader Almutairi, Md. Nazmus Sakib, Souvik Chakraborty, Syed B. Alam:
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life. - Fintan O'Sullivan, Kirita-Rose Escott, Rachael C. Shaw, Andrew Lensen:
Feature-based Image Matching for Identifying Individual Kākā. - Jia Li, Shengye Qiao, Zhirui Zhao, Chenxi Xie, Xiaowu Chen, Changqun Xia:
Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff. - Prateek Chhikara, Harshul Kuhar, Anil Goyal, Chirag Sharma:
DIGITOUR: Automatic Digital Tours for Real-Estate Properties. - Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh:
Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks. - Yuchen Wu, Kun Song, Fangzheng Zhao, Jiansheng Chen, Huimin Ma:
Distribution Aligned Feature Clustering for Zero-Shot Sketch-Based Image Retrieval. - Hongxia Guo, Guanghui Hu:
Well-posedness and convergence analysis of PML method for time-dependent acoustic scattering problems over a locally rough surface. - Anshumaan Chauhan, Siddhartha Bhattacharyya, S. Vadivel:
DQNAS: Neural Architecture Search using Reinforcement Learning. - Guy Farrelly, Michael Chesser, Damith C. Ranasinghe:
Ember-IO: Effective Firmware Fuzzing with Model-Free Memory Mapped IO. - Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Linchao Bao, Zhenyu He:
Audio2Gestures: Generating Diverse Gestures from Audio. - Arman Pashamokhtari, Norihiro Okui, Masataka Nakahara, Ayumu Kubota, Gustavo Batista, Hassan Habibi Gharakheili:
Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks. - Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong:
Tactile Tool Manipulation. - Kazuma Kobayashi, James Daniell, Syed B. Alam:
Operator Learning Framework for Digital Twin and Complex Engineering Systems. - Ike Smith, Casey Clifton:
Shackled: a 3D Rendering Engine Programmed Entirely in Ethereum Smart Contracts. - Prabhu Kaliyammal Thiruvasagam, Chandrasekar T, Vinay Venkataram, Vivek Raja Ilangovan, Maneesha Perapalla, Rajisha Payyanur, Senthilnathan M. D, Vishal Kumar, Kokila J:
Open RAN: Evolution of Architecture, Deployment Aspects, and Future Directions. - Dongseok Shim, H. Jin Kim:
SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network. - Peng Tu, Xu Xie, Ming Ling, Min Yang, Guo Ai, Yawen Huang, Yefeng Zheng:
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. - Hai Lin, Jinhong Yuan:
On Delay-Doppler Plane Orthogonal Pulse. - Emily L. Dolson:
Calculating lexicase selection probabilities is NP-Hard. - Giovanni Finocchio, Supriyo Bandyopadhyay, Peng Lin, Gang Pan, J. Joshua Yang, Riccardo Tomasello, Christos Panagopoulos, Mario Carpentieri, Vito Puliafito, Johan Åkerman, Hiroki Takesue, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Kaushik Roy, Vinod K. Sangwan, Mark C. Hersam, Anna Giordano, Huynsoo Yang, Julie Grollier, Kerem Yunus Camsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii V. Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme P. Temporão, Kremena Makasheva, Aida Todri-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Everschor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto:
Roadmap for Unconventional Computing with Nanotechnology. - Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S. Khan:
Bag of States: A Non-sequential Approach to Video-based Engagement Measurement. - Meng Wang, Xiaojie Guo, Wenjing Dai, Jiawan Zhang:
Face Inverse Rendering via Hierarchical Decoupling. - Zhanheng Yang, Sining Sun, Xiong Wang, Yike Zhang, Long Ma, Lei Xie:
Two Stage Contextual Word Filtering for Context bias in Unified Streaming and Non-streaming Transducer. - Kavya Manohar, A. R. Jayan, Rajeev Rajan:
Syllable Subword Tokens for Open Vocabulary Speech Recognition in Malayalam. - Zhao Song, Tianyi Zhou:
Faster Sinkhorn's Algorithm with Small Treewidth. - Xiangyu Qin, Zhiyu Wu, Jinshi Cui, Tingting Zhang, Yanran Li, Jian Luan, Bin Wang, Li Wang:
BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation. - Ziwei Yan, Liang Han, Xiaoduo Li, Jinjie Li:
Event-Triggered Optimal Formation Tracking Control Using Reinforcement Learning for Large-Scale UAV Systems. - Arijeet Ganguli, Frank Slyne, Marco Ruffini:
Real-time, low latency virtual DBA hypervisor for SLA-compliant multi-service operations over shared Passive Optical Networks. - Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui:
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers. - Pragma Kar, Shyamvanshikumar Singh, Avijit Mandal, Samiran Chattopadhyay, Sandip Chakraborty:
ExpresSense: Exploring a Standalone Smartphone to Sense Engagement of Users from Facial Expressions Using Acoustic Sensing. - Tran Thi Hong Hanh, Matej Martinc, Jaya Caporusso, Antoine Doucet, Senja Pollak:
The Recent Advances in Automatic Term Extraction: A survey. - Beibei Li, Zerui Shao, Ao Liu, Peiran Wang:
FedCliP: Federated Learning with Client Pruning. - Serena Tardelli, Leonardo Nizzoli, Maurizio Tesconi, Mauro Conti, Preslav Nakov, Giovanni Da San Martino, Stefano Cresci:
Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence. - Marjan Celikik, Jacek Wasilewski, Ana Peleteiro-Ramallo:
Reusable Self-Attention Recommender Systems in Fashion Industry Applications. - Stefano Massei, Leonardo Robol:
A nested divide-and-conquer method for tensor Sylvester equations with positive definite hierarchically semiseparable coefficients. - Chongshan Lu, Fukun Yin, Xin Chen, Tao Chen, Gang Yu, Jiayuan Fan:
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction. - Guangyi Zhang, Nikolaj Tatti, Aristides Gionis:
Ranking with submodular functions on the fly. - Michel Plüss, Yanick Schraner, Christian Scheller, Manfred Vogel:
2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022. - Zhong Zhuang, Kai Ming Ting, Guansong Pang, Shuaibin Song:
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection. - Serhat Bakirtas, Elza Erkip:
Database Matching Under Noisy Synchronization Errors. - Md. Sadik Awal, Christopher Thompson, Md. Tauhidur Rahman:
Utilization of Impedance Disparity Incurred from Switching Activities to Monitor and Characterize Firmware Activities. - Leandro Lanzieri, Gianluca Martino, Görschwin Fey, Holger Schlarb, Thomas C. Schmidt, Matthias Wählisch:
A Review of Techniques for Ageing Detection and Monitoring on Embedded Systems. - Dietmar Gallistl, Ngoc Tien Tran:
Stability and guaranteed error control of approximations to the Monge-Ampère equation. - K. Victor Sam Moses Babu, Pratyush Chakraborty, Mayukha Pal:
Planning of Fast Charging Infrastructure for Electric Vehicles in a Distribution System and Prediction of Dynamic Price. - Jinfan Chen, Shigang Li, Ran Guo, Jinhui Yuan, Torsten Hoefler:
AutoDDL: Automatic Distributed Deep Learning with Asymptotically Optimal Communication. - Pier Paolo Tricomi, Marco Chilese, Mauro Conti, Ahmad-Reza Sadeghi:
Follow Us and Become Famous! Insights and Guidelines From Instagram Engagement Mechanisms. - Tatsuya Koike, Shigeo Morishima, Ryoichi Ando:
A Combined Finite Element and Finite Volume Method for Liquid Simulation. - Sam Earle, Ozlem Yildiz, Julian Togelius, Chinmay Hegde:
Pathfinding Neural Cellular Automata. - Jian Yang, Yuwei Yin, Shuming Ma, Liqun Yang, Hongcheng Guo, Haoyang Huang, Dongdong Zhang, Yutao Zeng, Zhoujun Li, Furu Wei:
HanoiT: Enhancing Context-aware Translation via Selective Context. - Guanqun Cao, Jiaqi Jiang, Ningtao Mao, Danushka Bollegala, Min Li, Shan Luo:
Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation. - Ermanno Bartoli, Francesco Argenziano, Vincenzo Suriani, Daniele Nardi:
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding. - Ji Qi, Yuxiang Chen, Lei Hou, Juanzi Li, Bin Xu:
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction. - Yan Zhang, Zhong Ji, Di Wang, Yanwei Pang, Xuelong Li:
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval. - Sander Beckers, Joseph Y. Halpern, Christopher Hitchcock:
Causal Models with Constraints. - Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza:
Event-based Shape from Polarization. - Yuya Higashikawa, Naoki Katoh, Junichi Teruyama, Yuki Tokuni:
Faster Algorithms for Evacuation Problems in Networks with the Small Degree Sink and Uniformly Capacitated Edges. - Wooyong Park, Xiangyu Wu, Dongjae Lee, Seung Jae Lee:
Design, Modeling and Control of a Top-loading Fully-Actuated Cargo Transportation Multirotor. - Thilo Hagendorff, Sarah Fabi:
Methodological reflections for AI alignment research using human feedback. - Lutz Angermann, Peter Knabner, Andreas Rupp:
Error estimates for completely discrete FEM in energy-type and weaker norms. - Anej Svete, Benjamin Dayan, Tim Vieira, Ryan Cotterell, Jason Eisner:
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. - Ivan Masmitja, Mario Martin, Kakani Katija, Spartacus Gomaríz, Joan Navarro:
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles. - Ilyes Gharbi, Jonas Kuckling, David Garzón-Ramos, Mauro Birattari:
Show me what you want: Inverse reinforcement learning to automatically design robot swarms by demonstration. - Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant:
Building Scalable Video Understanding Benchmarks through Sports. - Jarkko Kari:
Expansivity and periodicity in algebraic subshifts. - Junjie Zhou, Yongping Xiong, Chinwai Chiu, Fangyu Liu, Xiangyang Gong:
SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation. - Flavio Petruzzellis, Ling Xuan Chen, Alberto Testolin:
Learning to solve arithmetic problems with a virtual abacus. - Lars Lien Ankile, Anna Midgley, Sebastian Weisshaar:
Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks. - Salma Haidar, José Oramas:
Training Methods of Multi-label Prediction Classifiers for Hyperspectral Remote Sensing Images. - Junjie H. Xu, Yu Nakano, Lingrong Kong, Kojiro Iizuka:
CS-lol: a Dataset of Viewer Comment with Scene in E-sports Live-streaming. - Katharina Albrecht, Kristoffer Janis Schneider, Daniel Martini:
Öffentliche Daten auf die nächste Stufe heben - Vom RESTful Webservice für Pflanzenschutzmittelregistrierungsdaten zur anwendungsunabhängigen Ontologie (erweiterte Version). - Christian Rathgeb, Benjamin Tams, Johannes Merkle, Vanessa Nesterowicz, Ulrike Korte, Matthias Neu:
Multi-Biometric Fuzzy Vault based on Face and Fingerprints. - Elina Eickstädt, Martin Becke, Martin Kohler, Julia Padberg:
Computer Science for Future - Sustainability and Climate Protection in the Computer Science Courses of the HAW Hamburg. - Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State. - Adyasha Dash, Kat R. Agres:
AI-Based Affective Music Generation Systems: A Review of Methods, and Challenges. - Yuanyuan Wang, Zhaohong Deng, Qiongdan Lou, Shudong Hu, Kup-Sze Choi, Shitong Wang:
Cooperation Learning Enhanced Colonic Polyp Segmentation Based on Transformer-CNN Fusion. - Jongrae Kim:
Position prediction using disturbance observer for planar pushing. - Sagar Joshi, Sumanth Balaji, Aparna Garimella, Vasudeva Varma:
Graph-based Keyword Planning for Legal Clause Generation from Topics. - Razvan-Alexandru Smadu, George-Eduard Zaharia, Andrei-Marius Avram, Dumitru-Clementin Cercel, Mihai Dascalu, Florin Pop:
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract). - Haoxin Chen, Mengmeng Wang, Yong Liu:
BSNet: Lane Detection via Draw B-spline Curves Nearby. - Lasse Hansen, Roberta Rocca, Arndis Simonsen, Alberto Parola, Vibeke Bliksted, Nicolai Ladegaard, Dan Bang, Kristian Tylén, Ethan Weed, Søren Dinesen Østergaard, Riccardo Fusaroli:
Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting. - Davide Basile, Claudio Di Ciccio, Valerio Goretti, Sabrina Kirrane:
Blockchain based Resource Governance for Decentralized Web Environments. - Oguz Oztoprak, Alexander Paolini, Pierluigi D'Acunto, Ernst Rank, Stefan Kollmannsberger:
Two-scale analysis and design of spaceframes with complex additive manufactured nodes. - Zhibo Zhang, Sani Umar, Ahmed Y. Al Hammadi, Sangyoung Yoon, Ernesto Damiani, Claudio Agostino Ardagna, Nicola Bena, Chan Yeob Yeun:
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals. - Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. - Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar:
Towards Estimating Transferability using Hard Subsets. - Rafal Bienkowski, Krzysztof E. Rutkowski:
The use of Octree in point cloud analysis with application to cultural heritage. - Ángel Alexander Cabrera, Adam Perer, Jason I. Hong:
Improving Human-AI Collaboration With Descriptions of AI Behavior. - Rohan Madhwal, Johan Pouwelse:
The Universal Trust Machine: A survey on the Web3 path towards enabling long term digital cooperation through decentralised trust. - Yu Gao, Xi Xu, Tianji Jiang, Siyuan Chen, Yi Yang, Yufeng Yue, Mengyin Fu:
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and Checking. - Shajulin Benedict:
Carbon Neutrality Approaches for IoT-Enabled Applications - A Review. - Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran:
FewSOME: Few Shot Anomaly Detection. - Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang:
Masked Visual Reconstruction in Language Semantic Space. - Sofia Reis, Corina S. Pasareanu, Rui Abreu, Hakan Erdogmus:
SECOMlint: A linter for Security Commit Messages. - Xiang-Li Li, Meng-Hao Guo, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
Long Range Pooling for 3D Large-Scale Scene Understanding. - Lakmal Meegahapola, Marios Constantinides, Zoran Radivojevic, Hongwei Li, Daniele Quercia, Michael S. Eggleston:
Quantified Canine: Inferring Dog Personality From Wearables. - Jannick Borowitz, Ernestine Großmann, Christian Schulz:
Engineering Fully Dynamic Δ-Orientation Algorithms. - Boqi Chen, Kua Chen, Yujing Yang, Afshin Amini, Bharat Saxena, Cecilia Chávez-García, Majid Babaei, Amir Feizpour, Dániel Varró:
Towards Improving the Explainability of Text-based Information Retrieval with Knowledge Graphs. - Hamza Riaz, Alan F. Smeaton:
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation. - Kacper Wardega, Max von Hippel, Roberto Tron, Cristina Nita-Rotaru, Wenchao Li:
Byzantine Resilience at Swarm Scale: A Decentralized Blocklist Protocol from Inter-robot Accusations. - Lukas Breitwieser, Ahmad Hesam, Fons Rademakers, Juan Gómez-Luna, Onur Mutlu:
High-Performance and Scalable Agent-Based Simulation with BioDynaMo. - Josué Ely Molina, Jorge Flores, Carlos Gershenson, Carlos Pineda:
Statistical analysis of word flow among five Indo-European languages. - Bassel El Mabsout, Shahin Roozkhosh, Siddharth Mysore, Kate Saenko, Renato Mancuso:
The SwaNNFlight System: On-the-Fly Sim-to-Real Adaptation via Anchored Learning. - Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu:
Negative Flux Aggregation to Estimate Feature Attributions. - Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, Kyungtae Han:
Metamobility: Connecting Future Mobility with Metaverse. - Emma Bouton-Bessac, Lakmal Meegahapola, Daniel Gatica-Perez:
Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers. - Hanwei Zhang, Felipe Torres, Ronan Sicre, Yannis Avrithis, Stéphane Ayache:
Opti-CAM: Optimizing saliency maps for interpretability. - Jérémy Dubut, Thorsten Wißmann:
Weighted and Branching Bisimilarities from Generalized Open Maps. - Shi Zong, Josh Seltzer, Jiahua Pan, Kathy Cheng, Jimmy Lin:
Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks. - Sepehr Assadi, Aaron Bernstein, Zachary Langley:
All-Norm Load Balancing in Graph Streams via the Multiplicative Weights Update Method. - Ruonan Yu, Songhua Liu, Xinchao Wang:
Dataset Distillation: A Comprehensive Review. - Chris Hays, Zachary Schutzman, Manish Raghavan, Erin Walk, Philipp Zimmer:
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection. - Saara Tenhunen, Tomi Männistö, Petri Ihantola, Jami Kousa, Matti Luukkainen:
Software startup within a university - producing industry-ready graduates. - Jeong Hun Lee, Mike Yan Michelis, Robert K. Katzschmann, Zachary Manchester:
Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications. - Hamed Ayoobi, S. Hamidreza Kasaei, Ming Cao, Rineke Verbrugge, Bart Verheij:
Explain What You See: Open-Ended Segmentation and Recognition of Occluded 3D Objects. - Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain:
Optimal Algorithms for Latent Bandits with Cluster Structure. - Alexander Viand, Christian Knabenhans, Anwar Hithnawi:
Verifiable Fully Homomorphic Encryption. - David Balbás, Daniel Collins, Phillip Gajland:
Analysis and Improvements of the Sender Keys Protocol for Group Messaging. - Peter Kietzmann, Thomas C. Schmidt, Matthias Wählisch:
PUF for the Commons: Enhancing Embedded Security on the OS Level. - Murat Isik, Matthew Oldland, Lifeng Zhou:
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA. - Parker Seegmiller, Joseph Gatto, Abdullah Mamun, Hassan Ghasemzadeh, Diane J. Cook, John A. Stankovic, Sarah Masud Preum:
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence. - Joël L. Lavanchy, Armine Vardazaryan, Pietro Mascagni, AI4SafeChole Consortium, Didier Mutter, Nicolas Padoy:
Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos. - Siddhant Porwal, Laxmi Bewoor, Vivek Deshpande:
Transformer Based Implementation for Automatic Book Summarization. - Dangxing Chen, Luyao Zhang:
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance. - Yingcong Li, Muhammed Emrullah Ildiz, Dimitris S. Papailiopoulos, Samet Oymak:
Transformers as Algorithms: Generalization and Implicit Model Selection in In-context Learning. - Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli:
The #DNN-Verification problem: Counting Unsafe Inputs for Deep Neural Networks. - Biao Zhang, Barry Haddow, Alexandra Birch:
Prompting Large Language Model for Machine Translation: A Case Study. - Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh:
SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations. - Arnaud J. K. Leoga, Arnaud Ritou, Mathieu Blanchard, Lysandre Dirand, Yanis Prunier, Philippe St-Pierre, David Chuet, Philippe-Olivier Provost, Maite Volatier, Vincent Aimez, Gwenaelle Hamon, Abdelatif Jaouad, Christian Dubuc, Maxime Darnon:
Outdoor Characterization of Solar Cells with Micro-structured Anti-Reflective Coating in a Concentrator Photovoltaic Module. - Albert Webson, Alyssa Marie Loo, Qinan Yu, Ellie Pavlick:
Are Language Models Worse than Humans at Following Prompts? It's Complicated. - Ondrej Plátek, Ondrej Dusek:
MooseNet: A trainable metric for synthesized speech with plda backend. - Bingchen Zhao, Quan Cui, Hao Wu, Osamu Yoshie, Cheng Yang:
Vision Learners Meet Web Image-Text Pairs. - Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee:
GLIGEN: Open-Set Grounded Text-to-Image Generation. - Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li:
Learning Customized Visual Models with Retrieval-Augmented Knowledge. - Dennis Aumiller, Jing Fan, Michael Gertz:
On the State of German (Abstractive) Text Summarization. - Sebastian Krügel, Andreas Ostermaier, Matthias Uhl:
The moral authority of ChatGPT. - Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu:
EENet: Learning to Early Exit for Adaptive Inference. - Timon Sachweh, Daniel Boiar, Thomas Liebig:
Distributed LSTM-Learning from Differentially Private Label Proportions. - Fatima Albreiki, Nidhal Belayouni, Deepak K. Gupta:
On Using Deep Learning Proxies as Forward Models in Deep Learning Problems. - Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang:
Continuous Trajectory Generation Based on Two-Stage GAN. - Paolo Braca, Leonardo Maria Millefiori, Augusto Aubry, Antonio De Maio, Peter Willett:
Large Deviations for Classification Performance Analysis of Machine Learning Systems. - Liantao Ma, Chaohe Zhang, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, Tao Wang:
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset. - Joshua A. Grochow:
Polynomial-Time Axioms of Choice and Polynomial-Time Cardinality. - Xi Chen, Yaonan Jin, Tim Randolph, Rocco A. Servedio:
Subset Sum in Time 2n/2/poly(n). - Matteo Bettini, Ajay Shankar, Amanda Prorok:
Heterogeneous Multi-Robot Reinforcement Learning. - Sarah Barrington:
The Feasibility of Algorithmic Detection and Decentralised Moderation for Protecting Women from Online Abuse. - Adil Chhabra, Marcelo Fonseca Faraj, Christian Schulz:
Faster Local Motif Clustering via Maximum Flows. - Manthan Patel, Marco Karrer, Philipp Bänninger, Margarita Chli:
COVINS-G: A Generic Back-end for Collaborative Visual-Inertial SLAM. - Roberto Bigazzi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara:
Embodied Agents for Efficient Exploration and Smart Scene Description. - Niklas Åkerblom, Morteza Haghir Chehreghani:
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles. - Shubham Atreja, Jane Im, Paul Resnick, Libby Hemphill:
AppealMod: Shifting Effort from Moderators to Users Making Appeals. - Irene Nandutu, Marcellin Atemkeng, Patrice Okouma, Nokubonga Mgqatsa, Jean Louis Ebongue Kedieng Fendji, Franklin Tchakounté:
Creating awareness about security and safety on highways to mitigate wildlife-vehicle collisions by detecting and recognizing wildlife fences using deep learning and drone technology. - Sajith Rajapaksa, Jean Marie Uwabeza Vianney, Renell Castro, Farzad Khalvati, Shubhra Aich:
Using Large Text-to-Image Models with Structured Prompts for Skin Disease Identification: A Case Study. - Boyuan Zheng, Jianlong Zhou, Fang Chen:
Genetic Imitation Learning by Reward Extrapolation. - Runcong Zhao, Lin Gui, Hanqi Yan, Yulan He:
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews. - Amelia Hassoun, Ian Beacock, Sunny Consolvo, Beth Goldberg, Patrick Gage Kelley, Daniel M. Russell:
Practicing Information Sensibility: How Gen Z Engages with Online Information. - Matthew J. Tilley, Michelle Miller, David Freedman:
Artificial Neuronal Ensembles with Learned Context Dependent Gating. - Gopika Ajaykumar, Chien-Ming Huang:
Multimodal Robot Programming by Demonstration: A Preliminary Exploration. - Mehmet Efe Tiryaki, Fatih Dogangun, Cem Balda Dayan, Paul Wrede, Metin Sitti:
MRI-powered Magnetic Miniature Capsule Robot with HIFU-controlled On-demand Drug Delivery. - Christopher Vattheuer, Charlie Liu, Ali Abedi, Omid Abari:
Are Home Security Systems Reliable? - Shervin Dehghani, Michael Sommersperger, Peiyao Zhang, Alejandro Martin-Gomez, Benjamin Busam, Peter Gehlbach, Nassir Navab, M. Ali Nasseri, Iulian Iordachita:
Robotic Navigation Autonomy for Subretinal Injection via Intelligent Real-Time Virtual iOCT Volume Slicing. - Tzu-Han Hsu, Borzoo Bonakdarpour, Bernd Finkbeiner, César Sánchez:
Bounded Model Checking for Asynchronous Hyperproperties. - Henry Li Xinyuan, Ray Lee, Jerry Chen, Kelly Marchisio:
Learning a Formality-Aware Japanese Sentence Representation. - Bipasha Sen, Aditya Agarwal, Gaurav Singh, Brojeshwar Bhowmick, Srinath Sridhar, K. Madhava Krishna:
SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping. - Khyathi Raghavi Chandu, Alborz Geramifard:
Curriculum Script Distillation for Multilingual Visual Question Answering. - Xiaofeng Yang, Fayao Liu, Guosheng Lin:
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss. - Anand Kalvit, Assaf Zeevi:
Complexity Analysis of a Countable-armed Bandit Problem. - Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner:
Tailor: Altering Skip Connections for Resource-Efficient Inference. - Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal:
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations. - Jongho Park:
Additive Schwarz methods for fourth-order variational inequalities. - Ruy Fabila Monroy:
A Note on the k-colored Crossing Ratio of Dense Geometric Graphs. - Jiangtao Gong, Jingjing Sun, Mengdi Chu, Xiaoye Wang, Minghai Luo, Yi Lu, Liuxin Zhang, Yaqiang Wu, Qianying Wang, Can Liu:
Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display. - Jixing Li, Xiaozhou Guo, Benzhe Dai, Guoliang Gong, Min Jin, Gang Chen, Wenyu Mao, Huaxiang Lu:
ACQ: Improving Generative Data-free Quantization Via Attention Correction. - Guojie Tang, Wenchao Xue, Hao Peng, Yanlong Zhao, Zhijun Yang:
Parallel Multi-Extended State Observers based {ADRC} with Application to High-Speed Precision Motion Stage. - Weiguo Gao, Yingzhou Li, Hanxiang Shen:
Weighted Trace-Penalty Minimization for Full Configuration Interaction. - Tanj Bennett:
Chip Guard ECC: An Efficient, Low Latency Method. - Hong-Bo Xie, Caoyuan Li, Shuliang Wang, Richard Yi Da Xu, Kerrie L. Mengersen:
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning. - Yinqian Sun, Yi Zeng, Feifei Zhao, Zhuoya Zhao:
Multi-compartment Neuron and Population Encoding improved Spiking Neural Network for Deep Distributional Reinforcement Learning. - Guohang Yan, Zhaotong Luo, Zhuochun Liu, Yikang Li:
SensorX2car: Sensors-to-car calibration for autonomous driving in road scenarios. - Ching Chang, Cheng-Han Yeh, Wen-Chih Peng:
Detecting and Ranking Causal Anomalies in End-to-End Complex System. - Taichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai:
The Chance of Winning Election Impacts on Social Media Strategy. - Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly:
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data. - Shangyu Xie, Xin Yang, Yuanshun Yao, Tianyi Liu, Taiqing Wang, Jiankai Sun:
Label Inference Attack against Split Learning under Regression Setting. - Hovig Tigran Bayandorian:
A Novel, Scale-Invariant, Differentiable, Efficient, Scalable Regularizer. - Aswathnarayan Radhakrishnan, Jim Davis, Zachary Rabin, Benjamin Lewis, Matthew Scherreik, Roman Ilin:
Enhancing Self-Training Methods. - Karol Nowakowski, Michal Ptaszynski, Kyoko Murasaki, Jagna Nieuwazny:
Adapting Multilingual Speech Representation Model for a New, Underresourced Language through Multilingual Fine-tuning and Continued Pretraining. - Jiongzhi Zheng, Mingming Jin, Yan Jin, Kun He:
Relaxed Graph Color Bound for the Maximum k-plex Problem. - Rui Wan, Tianyun Zhao, Wei Zhao:
PTA-Det: Point Transformer Associating Point cloud and Image for 3D Object Detection. - Ram Ramrakhya, Dhruv Batra, Erik Wijmans, Abhishek Das:
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav. - Md Habibor Rahman, Thorsten Wuest, Mohammed Shafae:
Review, Meta-Taxonomy, and Use Cases of Cyberattack Taxonomies of Manufacturing Cybersecurity Threat Attributes and Countermeasures. - Md Habibor Rahman, Young-Jun Son, Mohammed Shafae:
Graph-Theoretic Approach for Manufacturing Cybersecurity Risk Modeling and Assessment. - Kehui Ding, Jun Shu, Deyu Meng, Zongben Xu:
Improve Noise Tolerance of Robust Loss via Noise-Awareness. - Soohyun Park, Chanyoung Park, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Workload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks. - Yudan Wu, Shanhe You, Zixuan Guo, Xiangyang Li, Guyue Zhou, Jiangtao Gong:
MR.Brick: Designing A Remote Mixed-reality Educational Game System for Promoting Children's Social & Collaborative Skills. - Kaile Huang, Si Liu, Zhenge Chen, Hengfeng Wei, David A. Basin, Haixiang Li, Anqun Pan:
Efficient Black-box Checking of Snapshot Isolation in Databases. - Aaditya Bhat, Shrey Jain:
Face Recognition in the age of CLIP & Billion image datasets. - Kanghao Chen, Sijia Liu, Ruixuan Wang, Weishi Zheng:
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning. - Mallikharjuna Chinnapadamala, B. Sundar Rajan:
Security and Privacy in Cache-Aided Linear Function Retrieval for Multi-access Coded Caching. - Jianfeng Weng, Kun Hu, Tingting Yao, Jingya Wang, Zhiyong Wang:
Robust Knowledge Adaptation for Federated Unsupervised Person ReID. - Xiaoye Qian, Youbao Tang, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin:
HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation. - Runsheng Xu, Hao Xiang, Xu Han, Xin Xia, Zonglin Meng, Chia-Ju Chen, Jiaqi Ma:
The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research. - Jiawei Zhang, Jinshan Pan, Daoye Wang, Shangchen Zhou, Xing Wei, Furong Zhao, Jianbo Liu, Jimmy S. Ren:
Deep Dynamic Scene Deblurring from Optical Flow. - Gyeongrok Oh, Heon Gu, Sangpil Kim, Jinkyu Kim:
FPANet: Frequency-based Video Demoireing using Frame-level Post Alignment. - Son Duy Dao, Hengcan Shi, Dinh Q. Phung, Jianfei Cai:
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation. - Ying Jin, Jiaqi Wang, Dahua Lin:
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant. - Hyungtak Choi, Hyeonmok Ko, Gurpreet Kaur, Lohith Ravuru, Kiranmayi Gandikota, Manisha Jhawar, Simma Dharani, Pranamya Patil:
KILDST: Effective Knowledge-Integrated Learning for Dialogue State Tracking using Gazetteer and Speaker Information. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Parameter Estimation-Based Observer for Linear Systems with Polynomial Overparametrization. - Irfansha Shaik, Valentin Mayer-Eichberger, Jaco van de Pol, Abdallah Saffidine:
Implicit State and Goals in QBF Encodings for Positional Games (extended version). - Savino Dambra, Leyla Bilge, Platon Kotzias, Yun Shen, Juan Caballero:
One Size Does not Fit All: Quantifying the Risk of Malicious App Encounters for Different Android User Profiles. - Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. - Qi Sun, Xuejun Xu, Haotian Yi:
Dirichlet-Neumann learning algorithm for solving elliptic interface problems. - Shivani Deglurkar, Charles Xiao, Luke F. Gockowski, Megan T. Valentine, Elliot W. Hawkes:
Thermotropic Vine-inspired Robots. - Marco Ruffini, Chongjin Xie, Lei Shi, Jun Shan Wey:
Connected OFCity Challenge: an updated perspective on technology for connected cities. - Diego R. Mafioletti, Frank Slyne, Robin Giller, Michael O'Hanlon, David Coyle, Brendan Ryan, Marco Ruffini:
Demonstration of a low latency bandwidth allocation mechanism for mission critical applications in virtual PONs with P4 programmable hardware. - Diego R. Mafioletti, Frank Slyne, Robin Giller, Michael O'Hanlon, Brendan Ryan, Marco Ruffini:
A Novel low-latency DBA for Virtualised PON implemented through P4 In-Network Processing. - Pardeep Singh, Rabindra Lamsal, Monika, Satish Chand, Bhawna Shishodia:
GeoCovaxTweets: COVID-19 Vaccines and Vaccination-specific Global Geotagged Twitter Conversations. - Chinmay Prabhakar, Hongwei Bran Li, Jiancheng Yang, Suprosanna Shit, Benedikt Wiestler, Bjoern H. Menze:
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations. - Augusto Modanese:
Pseudorandom Generators for Sliding-Window Algorithms. - Augustin C. Ogier, Stanislas Rapacchi, Marc-Emmanuel Bellemare:
Three-dimensional reconstruction and characterization of bladder deformations. - Roy Ganz, Oren Nuriel, Aviad Aberdam, Yair Kittenplon, Shai Mazor, Ron Litman:
Towards Models that Can See and Read. - Luca Sciullo, Alberto De Marchi, Angelo Trotta, Federico Montori, Luciano Bononi, Marco Di Felice:
Relativistic Digital Twin: Bringing the IoT to the Future. - Jayati Kaushik, Aaruni Kaushik, Upasana Parashar:
Using Topological Data Analysis to classify Encrypted Bits. - Zongwei Wu, Guillaume Allibert, Fabrice Mériaudeau, Chao Ma, Cédric Demonceaux:
HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness. - Mariano Ntrougkas, Nikolaos Gkalelis, Vasileios Mezaris:
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks. - Shuren Qi, Yushu Zhang, Chao Wang, Tao Xiang, Xiaochun Cao, Yong Xiang:
Representing Noisy Image Without Denoising. - Zhongxi Li, Aobo Yang, Gerry Chen, Nima Tashakor, Zhiyong Zeng, Angel V. Peterchev, Stefan M. Goetz:
A Smart Adaptively Reconfigurable DC Battery for Higher Efficiency of Electric Vehicle Drive Trains. - Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid:
Learning to Participate through Trading of Reward Shares. - Michael Kölle, Steffen Illium, Carsten Hahn, Lorenz Schauer, Johannes Hutter, Claudia Linnhoff-Popien:
Compression of GPS Trajectories using Autoencoders. - Philipp Altmann, Thomy Phan, Fabian Ritz, Thomas Gabor, Claudia Linnhoff-Popien:
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. - Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella:
Run-time Failure Detection via Non-intrusive Event Analysis in a Large-Scale Cloud Computing Platform. - Shafagh A. Pashaki, Ali Nahvi, Ahmad Ahmadi, Sajad Tavakoli, Shahin Naeemi, Salar H. Shamchi:
Autonomous Slalom Maneuver Based on Expert Drivers' Behavior Using Convolutional Neural Network. - Pengyu Yin, Shenghai Yuan, Haozhi Cao, Xingyu Ji, Shuyang Zhang, Lihua Xie:
Segregator: Global Point Cloud Registration with Semantic and Geometric Cues. - Martina Cinquini, Fosca Giannotti, Riccardo Guidotti:
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. - Hang Yu, Guido C. H. E. de Croon, Christophe De Wagter:
AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors. - Ge Zhu, Jinbao Li, Yahong Guo:
Sharp Eyes: A Salient Object Detector Working The Same Way as Human Visual Characteristics. - Aleksander Gamayunov, Aleksey Postnikov, Gonzalo Ferrer:
DDPEN: Trajectory Optimisation With Sub Goal Generation Model. - (Withdrawn) Topology optimization of variable thickness Reissner-Mindlin plate using multiple in-plate bi-directional functionally graded materials.
- Nam G. Luu, Thanh T. Banh:
A novel preconditioned conjugate gradient multigrid method for multi-material topology optimization. - Fan Ma, Xiaojie Jin, Heng Wang, Jingjia Huang, Linchao Zhu, Jiashi Feng, Yi Yang:
Temporal Perceiving Video-Language Pre-training. - Aviad Aberdam, David Bensaïd, Alona Golts, Roy Ganz, Oren Nuriel, Royee Tichauer, Shai Mazor, Ron Litman:
CLIPTER: Looking at the Bigger Picture in Scene Text Recognition. - Nico Ebert, Björn Scheppler, Kurt Alexander Ackermann, Tim Geppert:
QButterfly: Lightweight Survey Extension for Online User Interaction Studies for Non-Tech-Savvy Researchers. - Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot, Isabelle Bloch:
Model-based inexact graph matching on top of CNNs for semantic scene understanding. - Poonam Yadav:
Significance of anonymity and privacy in improving inclusivity and diversity in Higher Education Learning Environments. - Markus Hecher:
Characterizing Structural Hardness of Logic Programs: What makes Cycles and Reachability Hard for Treewidth? - Vlad Niculae, Caio F. Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins:
Discrete Latent Structure in Neural Networks. - Yusuke Kawamoto, Kazumasa Miyake, Koichi Konishi, Yutaka Oiwa:
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy. - Gabriele Monaco, Gautam Gala, Gerhard Fohler:
Extensions for Shared Resource Orchestration in Kubernetes to Support RT-Cloud Containers. - Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang:
ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. - Michael Färber, Melissa Coutinho, Shuzhou Yuan:
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation. - Ayesha Siddique, Khaza Anuarul Hoque:
Exposing Reliability Degradation and Mitigation in Approximate DNNs under Permanent Faults. - Andrea Asperti, Davide Evangelista, Samuele Marro, Fabio Merizzi:
Image Embedding for Denoising Generative Models. - Asif Ali Khan, Hamid Farzaneh, Karl F. A. Friebel, Lorenzo Chelini, Jerónimo Castrillón:
CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms. - Ezgi Korkmaz:
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness. - Yannis Tevissen, Jérôme Boudy, Frédéric Petitpont:
The Newsbridge -Telecom SudParis VoxCeleb Speaker Recognition Challenge 2022 System Description. - Miryeong Kwon, Junhyeok Jang, Hanjin Choi, Sangwon Lee, Myoungsoo Jung:
Failure Tolerant Training with Persistent Memory Disaggregation over CXL. - Shradha Verma, Tripti Goel, Muhammad Tanveer, Weiping Ding, Rahul Sharma, R. Murugan:
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions. - Shashank Reddy Chirra, Kalyan Varma Nadimpalli, Shrisha Rao:
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent. - Yuanbo Wang, Unaiza Ahsan, Hanyan Li, Matthew Hagen:
A Comprehensive Review of Modern Object Segmentation Approaches. - Daniele Di Pompeo, Michele Tucci:
Multi-objective Software Architecture Refactoring driven by Quality Attributes. - Stefano Pio Zingaro, Giuseppe Lisanti, Maurizio Gabbrielli:
Multimodal Side-Tuning for Document Classification. - Shivam Arora, Alex Bihlo, Rüdiger Brecht, Pavel Holba:
Model-agnostic machine learning of conservation laws from data. - Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li:
Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. - Nea Pirttinen, Arto Hellas, Juho Leinonen:
Coverage of Course Topics in Learnersourced SQL Exercises. - Naoya Hatta, Shuntaro Tsunoda, Kouhei Uchida, Taichi Ishitani, Ryota Shioya, Kei Ishii:
PEZY-SC3: A MIMD Many-core Processor for Energy-efficient Computing. - Sidra Aslam, Ala Altaweel, Ali Bou Nassif:
Optimization Algorithms in Smart Grids: A Systematic Literature Review. - Daniele Di Pompeo, Michele Tucci:
Quality Attributes Optimization of Software Architecture: Research Challenges and Directions. - Ranjan Sapkota, John Stenger, Michael Ostlie, Paulo Flores:
Site-specific weed management in corn using UAS imagery analysis and computer vision techniques. - Elisa Luciano, Matteo Cattaneo, Ron S. Kenett:
Adversarial AI in Insurance: Pervasiveness and Resilience. - Carlo A. Furia, Richard Torkar, Robert Feldt:
Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions. - Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu:
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation. - Azin Asgarian, Rohit Saha, Daniel Jakubovitz, Julia Peyre:
AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry. - Shiv Sondhi, Sherif Saad, Kevin Shi, Mohammad Saiful Islam Mamun, Issa Traoré:
Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos Engineering. - Maxime Haddouche, Benjamin Guedj, Olivier Wintenberger:
Optimistic Dynamic Regret Bounds. - Weiming Xiang, Zhongzhu Shao:
Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction. - Zhongzheng Huang, Tao Wang, Yuanzheng Cai, Lingyu Liang:
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images. - Yun Bai, Simon Camal, Andrea Michiorri:
A Quantitative Exploration of Natural Language Processing Applications for Electricity Demand Analysis. - Theophile Thiery, Justin Ward:
An Improved Approximation for Maximum Weighted k-Set Packing. - Rockford Sison:
Computing the Coefficients for Non-Periodic Highly Oscillatory Orthonormal Functions. - Juan Francisco Robles, Manuel Chica, Ramón Filgueira, Antonio Agüera, Sergio Damas:
MultiCalib4DEB: A toolbox exploiting multimodal optimisation in Dynamic Energy Budget parameters calibration. - Daniele Meli, Hirenkumar Nakawala, Paolo Fiorini:
Logic programming for deliberative robotic task planning. - Jiageng Zheng:
Targeted Image Reconstruction by Sampling Pre-trained Diffusion Model. - Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang:
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. - Ashwani Anand, Kaushik Mallik, Satya Prakash Nayak, Anne-Kathrin Schmuck:
Computing Adequately Permissive Assumptions for Synthesis. - Nikolaos Gkalelis, Dimitrios Daskalakis, Vasileios Mezaris:
Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism. - Grigorii Trofimiuk, Evgeny Belyaev, Peter Trifonov:
Distributed Video Coding Based on Polar Codes. - Leon Eversberg, Jens Lambrecht:
Evaluating Digital Work Instructions with Augmented Reality versus Paper-based Documents for Manual, Object-Specific Repair Tasks in a Case Study with Experienced Workers. - Zhaozhi Qian, Bogdan-Constantin Cebere, Mihaela van der Schaar:
Synthcity: facilitating innovative use cases of synthetic data in different data modalities. - Jan Flusser, Matej Lébl, Matteo Pedone, Filip Sroubek, Jitka Kostková:
Blur Invariants for Image Recognition. - Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira:
A Survey of Advanced Computer Vision Techniques for Sports. - Rui Huang, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Shiji Song, Gao Huang:
Joint Representation Learning for Text and 3D Point Cloud. - Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, Yupeng Wu:
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection. - Adaptive Agent Team, Jakob Bauer, Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang:
Human-Timescale Adaptation in an Open-Ended Task Space. - Muhammad Ali Farooq, Waseem Shariff, Faisal Khan, Peter Corcoran:
Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge Devices. - Gabriel Rodriguez-Canal, Nick Brown, Yuri Torres, Arturo González-Escribano:
Task-based preemptive scheduling on FPGAs leveraging partial reconfiguration. - Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Performance-Preserving Event Log Sampling for Predictive Monitoring. - Huadeng Wang, Hao Xu, Bingbing Li, Xipeng Pan, Lingqi Zeng, Rushi Lan, Xiaonan Luo:
A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch. - Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso:
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data. - David M. Cerna, Andrew Cropper:
Generalisation Through Negation and Predicate Invention. - Panagiotis Meletis, Gijs Dubbelman:
Training Semantic Segmentation on Heterogeneous Datasets. - Adeetya Patel, Michael Eickenberg, Eugene Belilovsky:
Local Learning with Neuron Groups. - Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han:
Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse. - Nikzad Chizari, Niloufar Shoeibi, María N. Moreno García:
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems. - Oleksii Oleksenko, Marco Guarnieri, Boris Köpf, Mark Silberstein:
Hide and Seek with Spectres: Efficient discovery of speculative information leaks with random testing. - Victor H. Aristizabal-Tique, Marcela Henao-Pérez, Diana Carolina López-Medina, Renato Zambrano-Cruz, Gloria Díaz-Londoñod:
Facial Thermal and Blood Perfusion Patterns of Human Emotions: Proof-of-Concept. - Wei Xie, Zhipeng Yu, Zimeng Zhao, Binghui Zuo, Yangang Wang:
HMDO: Markerless Multi-view Hand Manipulation Capture with Deformable Objects. - Leonardo Bonati, Michele Polese, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia:
NeutRAN: An Open RAN Neutral Host Architecture for Zero-Touch RAN and Spectrum Sharing. - Anastasia Natsiou, Luca Longo, Seán O'Leary:
An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms. - A. S. M. Iftekhar, Raphael Ruschel, Satish Kumar, Suya You, B. S. Manjunath:
DDS: Decoupled Dynamic Scene-Graph Generation Network. - Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers:
Behind the Scenes: Density Fields for Single View Reconstruction. - Zekun Cao, Regis Kopper:
Real-Time Viewport-Aware Optical Flow Estimation in 360-degree Videos for Visually-Induced Motion Sickness Mitigation. - Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
Active learning for medical image segmentation with stochastic batches. - Xingyi He, Jiaming Sun, Yuang Wang, Di Huang, Hujun Bao, Xiaowei Zhou:
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models. - Pavlos Fafalios, Yannis Marketakis, Anastasia Axaridou, Yannis Tzitzikas, Martin Doerr:
A Workflow Model for Holistic Data Management and Semantic Interoperability in Quantitative Archival Research. - Wei Zhou, Guanghui Yue, Ruizeng Zhang, Yipeng Qin, Hantao Liu:
Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection. - Fabian Obster, Heidi Bohle, Paul M. Pechan:
Factors other than climate change are currently more important in predicting how well fruit farms are doing financially. - Zhusheng Wang, Sennur Ulukus:
Private Federated Submodel Learning via Private Set Union. - Krisha Mehta:
Maybe, Maybe Not: A Survey on Uncertainty in Visualization. - Md. Abir Hossen, Sonam Kharade, Bradley R. Schmerl, Javier Cámara, Jason M. O'Kane, Ellen C. Czaplinski, Katherine A. Dzurilla, David Garlan, Pooyan Jamshidi:
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots. - Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jong-Yeup Kim, Edward Choi:
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records. - Robert Beinert, Saghar Rezaei:
Prony-Based Super-Resolution Phase Retrieval of Sparse, Multivariate Signals. - Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi:
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. - Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung:
Learning 3D-aware Image Synthesis with Unknown Pose Distribution. - Sunia Tanweer, Firas A. Khasawneh, Elizabeth Munch:
Robust Zero-crossings Detection in Noisy Signals using Topological Signal Processing. - Masoud Fetanat, Michael C. Stevens, Pankaj Jain, Christopher Hayward, Erik Meijering, Nigel H. Lovell:
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure. - Aaron Defazio, Konstantin Mishchenko:
Learning-Rate-Free Learning by D-Adaptation. - David Meltzer, Junyu Liu:
Catapult Dynamics and Phase Transitions in Quadratic Nets. - Haiwei Dong, Jeannie Su Ann Lee:
The Metaverse from a Multimedia Communications Perspective. - Yu-Fang Chen, Kai-Min Chung, Ondrej Lengál, Jyun-Ao Lin, Wei-Lun Tsai, Di-De Yen:
An Automata-based Framework for Verification and Bug Hunting in Quantum Circuits (Technical Report). - Lucas de Oliveira Silva:
Freeze-Tag is NP-Hard in 3D with L1 distance. - Tobi Michael Alabi, Nathan P. Lawrence, Lin Lu, Zaiyue Yang, R. Bhushan Gopaluni:
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system. - Vince Kurtz, Hai Lin:
Temporal Logic Motion Planning with Convex Optimization via Graphs of Convex Sets. - Nariman Torkzaban, Asim Zoulkarni, Anousheh Gholami, John S. Baras:
Capacitated Beam Placement for Multi-beam Non-Geostationary Satellite Systems. - Zhaoxu Zhang, Robert Winn, Yu Zhao, Tingting Yu, William G. J. Halfond:
Automatically Reproducing Android Bug Reports Using Natural Language Processing and Reinforcement Learning. - Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat:
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. - Ignacio Tiraboschi, Tamara Rezk, Xavier Rival:
Sound Symbolic Execution via Abstract Interpretation and its Application to Security. - Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva:
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. - Gonzalo Martínez, José Alberto Hernández, Pedro Reviriego, Paul Reinheimer:
Round Trip Time (RTT) Delay in the Internet: Analysis and Trends. - Penghang Liu, Rupam Acharyya, Robert E. Tillman, Shunya Kimura, Naoki Masuda, Ahmet Erdem Sariyüce:
Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms. - Jingchi Zhang, Huanrui Yang, Hai Li:
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble. - Hui Sun, Nick Moore, Feng Bao:
Parameter Estimation for the Truncated KdV Model through a Direct Filter Method. - Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. - Lucas Fernando Souza de Castro, Sandro Rigo:
Relating Edge Computing and Microservices by means of Architecture Approaches and Features, Orchestration, Choreography, and Offloading: A Systematic Literature Review. - Hsiang-Wei Huang, Jenq-Neng Hwang:
Multi-target multi-camera vehicle tracking using transformer-based camera link model and spatial-temporal information. - Keith Rush, Zachary Charles, Zachary Garrett:
Federated Automatic Differentiation. - Jonathan Vacher, Claire Launay, Pascal Mamassian, Ruben Coen Cagli:
Measuring uncertainty in human visual segmentation. - Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. - Shashank Sule, Richard G. Spencer, Wojciech Czaja:
Emergence of the SVD as an interpretable factorization in deep learning for inverse problems. - Patrick H. Washington, David Fridovich-Keil, Mac Schwager:
GrAVITree: Graph-based Approximate Value Function In a Tree. - Shan Zuo, Yi Zhang, Yichao Wang:
Resilient Containment Control of Heterogeneous Multi-Agent Systems Against Unbounded Sensor and Actuator Attacks. - Ethan N. Epperly, Joel A. Tropp, Robert J. Webber:
XTrace: Making the most of every sample in stochastic trace estimation. - Kimberly T. Mai, Sergi D. Bray, Toby Davies, Lewis D. Griffin:
Warning: Humans Cannot Reliably Detect Speech Deepfakes. - Matteo Croci, Karen E. Willcox, Stephen J. Wright:
Multi-output multilevel best linear unbiased estimators via semidefinite programming. - Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, Milind Tambe:
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits. - Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter:
Self Supervision Does Not Help Natural Language Supervision at Scale. - Baike She, Philip E. Paré, Matthew Hale:
Distributed Reproduction Numbers of Networked Epidemics. - Ran Wei, Lyutianyang Zhang:
A Light-Weight Communication-Efficient Data Sharing Approach in 5G NR V2X. - Pan Deng, Yu Zhao, Junting Liu, Xiaofeng Jia, Mulan Wang:
Spatio-temporal neural structural causal models for bike flow prediction. - Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang:
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments. - Chris Egersdoerfer, Dong Dai, Di Zhang:
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection. - Giuseppe Antonio Di Luna, Giovanni Viglietta:
Efficient Computation in Congested Anonymous Dynamic Networks. - Shengyu Feng, Hanghang Tong:
Concept Discovery for Fast Adapatation. - Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman:
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. - Adam Norton, Reza Ahmadzadeh, Kshitij Jerath, Paul Robinette, Jay Weitzen, Thanuka Wickramarathne, Holly A. Yanco, Minseop Choi, Ryan Donald, Brendan Donoghue, Christian Dumas, Peter Gavriel, Alden Giedraitis, Brendan Hertel, Jack Houle, Nathan Letteri, Edwin Meriaux, Zahra Rezaei Khavas, Rakshith Singh, Gregg Willcox, Naye Yoni:
DECISIVE Benchmarking Data Report: sUAS Performance Results from Phase I. - Yingfei Wang, Jianping Liu, Jian Wang, Xiaofeng Wang, Meng Wang, Xintao Chu:
FE-TCM: Filter-Enhanced Transformer Click Model for Web Search. - Daniel Morton, Artemis Xu, Alberto Matute, Robert F. Shepherd:
Autonomous Material Composite Morphing Wing. - Yue Han, Sri Kalyan Yarlagadda, Tonmoy Ghosh, Fengqing Zhu, Edward Sazonov, Edward J. Delp:
Improving Food Detection For Images From a Wearable Egocentric Camera. - Atanas Dinev, S. Matthew Weinberg:
Tight Bounds on 3-Team Manipulations in Randomized Death Match. - Bowen Zhang, Xiaojie Jin, Weibo Gong, Kai Xu, Zhao Zhang, Peng Wang, Xiaohui Shen, Jiashi Feng:
Multimodal Video Adapter for Parameter Efficient Video Text Retrieval. - Bin Huang, Yangguang Li, Enze Xie, Feng Liang, Luya Wang, Mingzhu Shen, Fenggang Liu, Tianqi Wang, Ping Luo, Jing Shao:
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception. - Lin Zhou, Mehul Motani:
On Finite Blocklength Lossy Source Coding. - Shengling Shi, Anastasios Tsiamis, Bart De Schutter:
Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control. - Saurabh Sharma, Faizan Ahemad:
Unposed: Unsupervised Pose Estimation based Product Image Recommendations. - Zhonggang Zeng:
Computing multiple roots of inexact polynomials. - Yubin Lu, Zhongjian Wang, Guillaume Bal:
Understanding the diffusion models by conditional expectations. - Rizwan Patan, Reza M. Parizi, Mohsen Dorodchi, Seyedamin Pouriyeh, Audrey Rorrer:
Blockchain Education: Current State, Limitations, Career Scope, Challenges, and Future Directions. - Dong-Kyun Han, Dong-Young Kim, Geun-Deok Jang:
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition. - Niranda Perera, Kaiying Shan, Supun Kamburugamuve, Thejaka Amíla Kanewela, Chathura Widanage, Arup Kumar Sarker, Mills Staylor, Tianle Zhong, Vibhatha Abeykoon, Geoffrey C. Fox:
Supercharging Distributed Computing Environments For High Performance Data Engineering. - Xinyi Chen, Elad Hazan:
A Nonstochastic Control Approach to Optimization. - Kirill Aleksandrovich Bashmur, V. A. Kachaeva, V. V. Bukhtoyarov, M. V. Saramud:
Magnetoreological spring as element of vibration control system of dynamicly active equipment for biofuel production. - Saber Jafarpour, Akash Harapanahalli, Samuel Coogan:
Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers. - Mingun Kim, Hewon Cho, Ying Cui, Jemin Lee:
Joint Service Caching and Computing Resource Allocation for Edge Computing-Enabled Networks. - Soowon Kim, Ji-Won Lee, Young-Eun Lee, Seo-Hyun Lee:
Subject-Independent Classification of Brain Signals using Skip Connections. - Shan Wu, Chunlei Xin, Bo Chen, Xianpei Han, Le Sun:
Semantic-aware Contrastive Learning for More Accurate Semantic Parsing. - Xiuen Wu, Tao Wang, Lingyu Liang, Zuoyong Li, Fum Yew Ching:
Spatio-Temporal Context Modeling for Road Obstacle Detection. - Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection. - Shuzhen Rao, Jun Huang, Zengming Tang:
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning. - Eva Dierkes, Christian Offen, Sina Ober-Blöbaum, Kathrin Flaßkamp:
Hamiltonian Neural Networks with Automatic Symmetry Detection. - Feng Dang, Qi Hu, Pengyuan Zhang:
THLNet: two-stage heterogeneous lightweight network for monaural speech enhancement. - Julia El Zini, Mohamad Mansour, Mariette Awad:
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions. - Jiazheng Xing, Mengmeng Wang, Boyu Mu, Yong Liu:
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition. - Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang:
PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction. - Robert Kwiecinski, Agata Filipowska, Tomasz Górecki, Viacheslav Dubrov:
Job recommendations: benchmarking of collaborative filtering methods for classifieds. - Boris Mocialov, Eirik Eythorsson, Reza Parseh, Hoang Tran, Vegard Flovik:
Point Cloud Data Simulation and Modelling with Aize Workspace. - Ivan Nekrasov, Aleksandr Zagulyaev, Vladimir Bukhtoyarov, Svetlana Eremeeva, Elena Filyushina, Aleksey Gorodov, Natalia Shepeta:
Analysis of the Reliability of a Biofuel Production Plant from Waste Cooking Oil. - Bingchen Gong, Yuehao Wang, Xiaoguang Han, Qi Dou:
RecolorNeRF: Layer Decomposed Radiance Field for Efficient Color Editing of 3D Scenes. - Gösta Stomberg, Henrik Ebel, Timm Faulwasser, Peter Eberhard:
Cooperative Distributed MPC via Decentralized Real-Time Optimization: Implementation Results for Robot Formations. - Thijs Steel, Raf Vandebril:
Parallel two-stage reduction to Hessenberg-triangular form. - Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu, Shandian Zhe, Thiago Serra:
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions. - Lara Bargmann, Heike Wehrheim:
View-Based Axiomatic Reasoning for PSO (Extended Version). - Juan Carlos Ruiz Sicilia, Xuewen Qian, Marco Di Renzo, Vincenzo Sciancalepore, Mérouane Debbah, Xavier Costa-Pérez:
On the Degrees of Freedom of RIS-Aided Holographic MIMO Systems. - Emanuele Aiello, Diego Valsesia, Enrico Magli:
Fast Inference in Denoising Diffusion Models via MMD Finetuning. - Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou:
On the Ergodic Secrecy Capacity of Reconfigurable Intelligent Surface Aided Wireless Systems Under Mixture Gamma Fading. - Amir M. Mir, Mehdi Keshani, Sebastian Proksch:
On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem. - Yanggu Zheng, Barys N. Shyrokau, Tamás Keviczky:
Mitigating Motion Sickness with Optimization-based Motion Planning. - Ioannis Dimolitsas, Spyridon Kantarelis, Afroditi Fouka:
SpotHitPy: A Study For ML-Based Song Hit Prediction Using Spotify. - Abhijit Suprem, João Eduardo Ferreira, Calton Pu:
Continuously Reliable Detection of New-Normal Misinformation: Semantic Masking and Contrastive Smoothing in High-Density Latent Regions. - Alicia Cordero, Eva G. Villalba, Juan R. Torregrosa, Paula Triguero-Navarro:
Introducing memory to a family of multi-step multidimensional iterative methods with weight function. - Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Sequential learning and control: Targeted exploration for robust performance. - Warley F. R. Ribeiro, Kentaro Uno, Masazumi Imai, Koki Murase, Kazuya Yoshida:
RAMP: Reaction-Aware Motion Planning of Multi-Legged Robots for Locomotion in Microgravity. - Markus Fleschutz, Markus Bohlayer, Marco Braun, Michael D. Murphy:
From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company. - Elena Merlo, Edoardo Lamon, Fabio Fusaro, Marta Lorenzini, Alessandro Carfì, Fulvio Mastrogiovanni, Arash Ajoudani:
An Ergonomic Role Allocation Framework for Dynamic Human-Robot Collaborative Tasks. - Jorge Gabín, M. Eduardo Ares, Javier Parapar:
Keyword Embeddings for Query Suggestion. - Akshay Batheja, Pushpak Bhattacharyya:
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering. - Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
A Survey of Metaheuristic Algorithms for the Design of Cryptographic Boolean Functions. - Maximilian Schlüter, Gerrit Nolte, Alnis Murtovi, Bernhard Steffen:
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations. - Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao:
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms. - Ahmad T. Sheikh, Ali Shoker, Paulo Esteves Veríssimo:
System on Chip Rejuvenation in the Wake of Persistent Attacks. - Enrico Werner, Jeffrey N. Clark, Ranjeet S. Bhamber, Michael Ambler, Christopher P. Bourdeaux, Alexander Hepburn, Christopher J. McWilliams, Raúl Santos-Rodríguez:
Identification, explanation and clinical evaluation of hospital patient subtypes. - Dominik Arne Rebro, Bruno Rossi, Stanislav Chren:
Source Code Metrics for Software Defects Prediction. - Wenjun Li, Pradeep Varakantham, Dexun Li:
Effective Diversity in Unsupervised Environment Design. - Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson:
A Survey of Meta-Reinforcement Learning. - Andrea Fanti:
Multi-Agent Interplay in a Competitive Survival Environment. - David Gonçalves, Manuel Piçarra, Pedro Pais, João Guerreiro, André Rodrigues:
My Zelda Cane: Strategies Used by Blind Players to Play Visual-Centric Digital Games. - Ahmad Adnan Qidan, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Cooperative Artificial Neural Networks for Rate-Maximization in Optical Wireless Networks. - Edoardo Lamon, Fabio Fusaro, Elena De Momi, Arash Ajoudani:
A Comprehensive Architecture for Dynamic Role Allocation and Collaborative Task Planning in Mixed Human-Robot Teams. - Bruno Oliveira, Carla Teixeira Lopes:
From 10 Blue Links Pages to Feature-Full Search Engine Results Pages - Analysis of the Temporal Evolution of SERP Features. - Dongsik Yoon, Jeong-gi Kwak, Yuanming Li, David K. Han, Youngsaeng Jin, Hanseok Ko:
Reference Guided Image Inpainting using Facial Attributes. - Zheming Wang, Raphaël M. Jungers, Mihály Petreczky, Bo Chen, Li Yu:
Learning stability of partially observed switched linear systems. - Tizian Wenzel, Francesco Marchetti, Emma Perracchione:
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective. - Mohammad Ali Khoshkholghi, Toktam Mahmoodi, Subhankar Pal, Subhash Chopra, Mayuri Tendulkar, Sandip Sarkar:
xURLCC in 6g with meshed RAN. - Donglin Wang, Anjie Qiu, Qiuheng Zhou, Sanket Partani, Hans D. Schotten:
The Effect of Variable Factors on the Handover Performance for Ultra Dense Network. - Hanieh Khosravi, Abbas Rasoolzadegan:
A Meta-Learning Approach for Software Refactoring. - Mehmet Deniz Türkmen, Matthew Lease, Mücahid Kutlu:
New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches. - Florentin Bieder, Julia Wolleb, Robin Sandkühler, Philippe C. Cattin:
Position Regression for Unsupervised Anomaly Detection. - Akash Guna R. T., Raul Benitez, O. K. Sikha:
Interpreting CNN Predictions using Conditional Generative Adversarial Networks. - Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Dario Cadena Lerma, Roland Siegwart, Lionel Ott:
Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs. - Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma:
Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models. - Chen Chen, Sai Xu, Jiliang Zhang, Jie Zhang:
A Distributed Machine Learning-Based Approach for IRS-Enhanced Cell-Free MIMO Networks. - Jeonghyun Byun, Byeongjun Kim, Changhyeon Kim, Donggeon David Oh, H. Jin Kim:
Stable Contact Guaranteeing Motion/Force Control for an Aerial Manipulator on an Arbitrarily Tilted Surface. - Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski:
Shapley Values with Uncertain Value Functions. - Xiaowei Wu, Cong Zhang, Shengwei Zhou:
Weighted EF1 Allocations for Indivisible Chores. - William Seymour, Mark Coté, Jose M. Such:
Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants. - Utkarsh Nath, Yancheng Wang, Yingzhen Yang:
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation. - Angelo A. Casulli, Leonardo Robol:
An effcient block rational Krylov solver for Sylvester equations with adaptive pole selection. - Salvatore Giorgi, Ke Zhao, Alexander H. Feng, Lara J. Martin:
Author as Character and Narrator: Deconstructing Personal Narratives from the r/AmITheAsshole Reddit Community. - Ryosei Kojima, Akihisa Shitara, Tatsuki Fushimi, Ryogo Niwa, Atsushi Shinoda, Ryo Iijima, Kengo Tanaka, Sayan Sarcar, Yoichi Ochiai:
SHITARA: Sending Haptic Induced Touchable Alarm by Ring-shaped Air vortex. - Mohammadsaleh Nikooroo, Zdenek Becvar, Omid Esrafilian, David Gesbert:
Channel Reuse for Backhaul in UAV Mobile Networks with User QoS Guarantee. - Julian Karoliny, Thomas Blazek, Andreas Springer, Hans-Peter Bernhard:
Predicting the Channel Access of Bluetooth Low Energy. - Mayukh Deb, Björn Deiseroth, Samuel Weinbach, Patrick Schramowski, Kristian Kersting:
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. - Christoph Dalitz:
Soft Thresholding for Visual Image Enhancement. - Adiel Ashrov, Guy Katz:
Enhancing Deep Learning with Scenario-Based Override Rules: a Case Study. - Robert Östling, Murathan Kurfali:
Language Embeddings Sometimes Contain Typological Generalizations. - David A. R. Robin, Kevin Scaman, Marc Lelarge:
Convergence beyond the over-parameterized regime using Rayleigh quotients. - Jean Carlo Guella, Janin Jäger:
Strictly positive definite kernels on compact Riemannian manifolds. - Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. - Jan Philip Wahle:
A Cohesive Distillation Architecture for Neural Language Models. - Carlos Ansótegui, Eduard Torres:
A Benchmark Generator for Combinatorial Testing. - Tobias Meggendorfer:
Correct Approximation of Stationary Distributions. - Jane Fenn, Mark Nicholson, Ganesh Pai, Michael Wilkinson:
Architecting Safer Autonomous Aviation Systems. - YaChen Yan, Liubo Li:
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction. - Alistair Weld, João Cartucho, Chi Xu, Joseph Davids, Stamatia Giannarou:
Regularizing disparity estimation via multi task learning with structured light reconstruction. - Fatemeh Haghighi, Soumitra Ghosh, Hai Ngu, Sarah Chu, Han Hui Lin, Mohsen Hejrati, Baris Bingol, Somaye Hashemifar:
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease. - Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang:
Dual Personalization on Federated Recommendation. - Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew C. Gombolay:
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. - Haven Kim, Seungheon Doh, Junwon Lee, Juhan Nam:
Music Playlist Title Generation Using Artist Information. - Deven Santosh Shah, Shiying He, Radhika Bansal:
What's happening in your neighborhood? A Weakly Supervised Approach to Detect Local News. - Leonard Bruns, Patric Jensfelt:
RGB-D-Based Categorical Object Pose and Shape Estimation: Methods, Datasets, and Evaluation. - Jeppe Fredsgaard Blaabjerg, Aslan Askarov:
OblivIO: Securing reactive programs by oblivious execution with bounded traffic overheads. - Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Chuang Zhang, Ming Wu, Yi Yuan, Yunzhao Zeng, Min Zheng:
SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines. - Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua:
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network. - Oscar Skean, Jhoan Keider Hoyos-Osorio, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo:
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies. - Pei Fang, Jinghui Chen:
On the Vulnerability of Backdoor Defenses for Federated Learning. - Alistair Weld, Michael Dyck, Julian Klodmann, Giulio Anichini, Luke Dixon, Sophie Camp, Alin Albu-Schäffer, Stamatia Giannarou:
Collaborative Robotic Ultrasound Tissue Scanning for Surgical Resection Guidance in Neurosurgery. - David O'Gara, Samuel F. Rosenblatt, Laurent Hébert-Dufresne, Rob Purcell, Matt Kasman, Ross A. Hammond:
TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States. - Stefania Ionescu, Nicolò Pagan, Aniko Hannak:
Individual Fairness for Social Media Influencers. - Jens Keppeler, Thomas Schwentick, Christopher Spinrath:
Work-Efficient Query Evaluation with PRAMs. - Onur Berk Töre, Farzin Negahbani, Baris Akgün:
Keyframe Demonstration Seeded and Bayesian Optimized Policy Search. - Argha Sen, Avijit Mandal, Prasenjit Karmakar, Anirban Das, Sandip Chakraborty:
mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving. - Mihir Durve, Sibilla Orsini, Adriano Tiribocchi, Andrea Montessori, Jean-Michel Tucny, Marco Lauricella, Andrea Camposeo, Dario Pisignano, Sauro Succi:
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications. - Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang:
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. - Zihao Chen, Hisashi Handa, Kimiaki Shirahama:
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications. - Sinan Yildirim:
Differentially Private Online Bayesian Estimation With Adaptive Truncation. - Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurélien Lucchi:
An SDE for Modeling SAM: Theory and Insights. - Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou:
GIPA++: A General Information Propagation Algorithm for Graph Learning. - Petar Velickovic:
Everything is Connected: Graph Neural Networks. - Dylan J. Foster, Noah Golowich, Yanjun Han:
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient. - Amir Fekrazad:
Estimating Remaining Lifespan from the Face. - Shay Kutten, Peter Robinson, Ming Ming Tan, Xianbin Zhu:
Improved Tradeoffs for Leader Election. - Xizi Wang, Feng Cheng, Gedas Bertasius, David Crandall:
LoCoNet: Long-Short Context Network for Active Speaker Detection. - Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas:
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. - Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces. - Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari:
Multiview Compressive Coding for 3D Reconstruction. - Michael Saint-Guillain, Jean Vanderdonckt, Nicolas Burny, Vladimir Pletser, Tiago Vaquero, Steve A. Chien, Alexander Karl, Jessica J. Márquez, John A. Karasinski, Cyril Wain, Audrey Comein, Ignacio S. Casla, Jean Jacobs, Julien Meert, Cheyenne Chamart, Sirga Drouet, Julie Manon:
Enabling Astronaut Self-Scheduling using a Robust Advanced Modelling and Scheduling system: an assessment during a Mars analogue mission. - Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, Mulan Wang:
Causal conditional hidden Markov model for multimodal traffic prediction. - Huayue Gu, Zhouyu Li, Ruozhou Yu, Xiaojian Wang, Fangtong Zhou, Jianqing Liu:
FENDI: High-Fidelity Entanglement Distribution in the Quantum Internet. - Joppe W. Bos, Kevin S. McCurley:
LaTeX, metadata, and publishing workflows. - Nayana Dasgupta, Mirco Musolesi:
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems. - Fernando M. Quintana, Fernando Perez-Peña, Pedro L. Galindo, Emre O. Neftci, Elisabetta Chicca, Lyes Khacef:
ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware. - Saray Busto, Michael Dumbser:
A new thermodynamically compatible finite volume scheme for magnetohydrodynamics. - Narayanan P. P., Palacode Narayana Iyer Anantharaman:
A Survey of research in Deep Learning for Robotics for Undergraduate research interns. - Lukas Gonon, Robin Graeber, Arnulf Jentzen:
The necessity of depth for artificial neural networks to approximate certain classes of smooth and bounded functions without the curse of dimensionality. - Debarnab Mitra, Lev Tauz, Lara Dolecek:
Polar Coded Merkle Tree: Mitigating Data Availability Attacks in Blockchain Systems Using Informed Polar Code Design. - Benjamin Steel, Sara Parker, Derek Ruths:
Invasion of Ukraine Discourse on TikTok Dataset. - Bailey Rester, James V. Lambers:
Convergence Analysis of a Krylov Subspace Spectral Method for the 1-D Wave Equation in an Inhomogeneous Medium. - Chiara Di Vece, Maela Le Lous, Brian Dromey, Francisco Vasconcelos, Anna L. David, Donald Peebles, Danail Stoyanov:
Learning ultrasound plane pose regression: assessing generalized pose coordinates in the fetal brain. - Namjin Seo, DongNyeong Heo, Heeyoul Choi:
Advanced Scaling Methods for VNF deployment with Reinforcement Learning. - Frederike Dümbgen, Adrien Hoffet, Mihailo Kolundzija, Adam Scholefield, Martin Vetterli:
Blind as a bat: audible echolocation on small robots. - Ahmed Attia, Shady E. Ahmed:
PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments. - Zixi Chen, Shixin Zhang, Shan Luo, Fuchun Sun, Bin Fang:
Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors. - Alessio Guerra, Oktay Karakus:
Sentiment Analysis for Measuring Hope and Fear from Reddit Posts During the 2022 Russo-Ukrainian Conflict. - Samuel Epstein:
A Quantum EL Theorem. - Rongxing Hu, Ashwin Shirsat, Valliappan Muthukaruppan, Si Zhang, Yiyan Li, Lidong Song, Bei Xu, Victor Paduani, Ning Lu, Mesut E. Baran, Wenyuan Tang:
A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration. - YaChen Yan, Liubo Li:
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction. - Saray Busto, Laura Río-Martín, María Elena Vázquez-Cendón, Michael Dumbser:
A semi-implicit hybrid finite volume / finite element scheme for all Mach number flows on staggered unstructured meshes. - Saray Busto, Michael Dumbser, Ilya Peshkov, Evgeniy I. Romenski:
On thermodynamically compatible finite volume schemes for continuum mechanics. - Mariane Barros Neiva, Odemir M. Bruno:
Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks. - Jason Wu, Amanda Swearngin, Xiaoyi Zhang, Jeffrey Nichols, Jeffrey P. Bigham:
Screen Correspondence: Mapping Interchangeable Elements between UIs. - Jed A. Duersch:
An Efficient Quadrature Sequence and Sparsifying Methodology for Mean-Field Variational Inference. - Abbas Siddiqui, Dionysios Georgiadis:
Asynchronously Trained Distributed Topographic Maps. - Dong-Hyun Jung, Gyeongrae Im, Joon-Gyu Ryu, Seungkeun Park, Heejung Yu, Junil Choi:
Satellite Clustering for Non-Terrestrial Networks: Concept, Architectures, and Applications. - Chung Hee Kim, George Kantor:
Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies. - Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. - Yueyang Liu, Artemio Soto-Breceda, Yun Zhao, Phillipa Karoly, Mark J. Cook, David B. Grayden, Daniel Schmidt, Levin Kuhlmann:
Brain Model State Space Reconstruction Using an LSTM Neural Network. - Zehui Lu, Shaoshuai Mou:
Variable Sampling MPC via Differentiable Time-Warping Function. - Yu Kawano, Kenji Kashima:
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression. - Mingyi Liu, Zhiying Tu, Xiaofei Xu, Zhongjie Wang:
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network. - Chong Xiao Wang, Wee Peng Tay:
On the Relationship Between Information-Theoretic Privacy Metrics And Probabilistic Information Privacy. - Amir Kazemi, Salar Basiri, Volodymyr V. Kindratenko, Srinivasa M. Salapaka:
Sequence Generation via Subsequence Similarity: Theory and Application to UAV Identification. - Naresh Kshetri, Chandra Sekhar Bhusal, Dilip Kumar, Devendra Chapagain:
SugarChain: Blockchain technology meets Agriculture - The case study and analysis of the Indian sugarcane farming. - Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen:
Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading. - Madeline Rachow, Thomas P. Karnowski, Alice J. O'Toole:
Identity masking effectiveness and gesture recognition: Effects of eye enhancement in seeing through the mask. - Chenggang Shan, Chuge Wu, Yuanqing Xia, Zehua Guo, Danyang Liu, Jinhui Zhang:
Adaptive Resource Allocation for Workflow Containerization on Kubernetes. - Zhongzhichao Wan, Jieao Zhu, Linglong Dai:
Can Continuous Aperture MIMO Achieve Much Better Performance than Discrete MIMO? - Zhuo Zhao:
Fair Credit Scorer through Bayesian Approach. - Chunwei Wu, Guitao Cao, Yan Li, Xidong Xi, Wenming Cao, Hong Wang:
When Source-Free Domain Adaptation Meets Label Propagation. - Junyu Zhu, Lina Liu, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation. - Edward W. Chew, William D. Weisman, Jingying Huang, Seth Frey:
Machine Translation for Accessible Multi-Language Text Analysis. - Zhefan Xu, Baihan Chen, Xiaoyang Zhan, Yumeng Xiu, Christopher Suzuki, Kenji Shimada:
A vision-based autonomous UAV inspection framework for unknown tunnel construction sites with dynamic obstacles. - Lan Zhang, Chen Cao, Zhilong Wang, Peng Liu:
Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning. - Anh Tuan Phu, Bo Li, Faheem Ullah, Tanvir Ul Huque, Ranesh Naha, Ali Babar, Hung Nguyen:
Defending SDN against packet injection attacks using deep learning. - Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
On the Uplink SINR Meta Distribution of UAV-assisted Wireless Networks. - Richard Matthias Hartisch, Kevin Haninger:
Compliant finray-effect gripper for high-speed robotic assembly of electrical components. - Shansi Zhang, Nan Meng, Edmund Y. Lam:
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction. - Lyuye Zhang, Chengwei Liu, Zhengzi Xu, Sen Chen, Lingling Fan, Lida Zhao, Jiahui Wu, Yang Liu:
Compatible Remediation on Vulnerabilities from Third-Party Libraries for Java Projects. - Yuki Kubo, Toshihiro Chujo:
Optimization of body configuration and joint-driven attitude stabilization for transformable spacecrafts under solar radiation pressure. - Fanchen Bu, Geon Lee, Kijung Shin:
Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications. - Haoxuan Pan, Deheng Ye, Xiaoming Duan, Qiang Fu, Wei Yang, Jianping He, Mingfei Sun:
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning. - Dongsik Yoon, Jeong-gi Kwak, Yuanming Li, David Han, Hanseok Ko:
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion. - Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok:
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. - Pekka Siirtola, Juha Röning:
Feature Relevance Analysis to Explain Concept Drift - A Case Study in Human Activity Recognition. - Marwan Mostafa, Daniela Vorwerk, Johannes Heise, Alex Povel, Natalia Sanina, Davood Babazadeh, Christian Töbermann, Arne Speerforck, Christian Becker, Detlef Schulz:
Integrated Planning of Multi-energy Grids: Concepts and Challenges. - Jianyuan Wang, Ceyuan Yang, Yinghao Xu, Yujun Shen, Hongdong Li, Bolei Zhou:
Spatial Steerability of GANs via Self-Supervision from Discriminator. - Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu:
Coresets for Clustering with General Assignment Constraints. - Saray Busto, Eleuterio F. Toro, María Elena Vázquez-Cendón:
Design and analysis of ADER-type schemes for model advection-diffusion-reaction equations. - Yuntao Wang, Zhou Su, Yanghe Pan, Abderrahim Benslimane, Yiliang Liu, Tom H. Luan, Ruidong Li:
Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning. - Kiseop Chung, Jin-Taek Lim:
Machine Learning for Relaying Topology: Optimization of IoT Network with Energy Harvesting. - Diego Figueira, Anantha Padmanabha, Luc Segoufin, Cristina Sirangelo:
A Simple Algorithm for Consistent Query Answering under Primary Keys. - Saray Busto, Jose Luis Ferrín, Eleuterio F. Toro, María Elena Vázquez-Cendón:
A projection hybrid high order finite volume/finite element method for incompressible turbulent flows. - Nader H. Bshouty:
Superpolynomial Lower Bounds for Learning Monotone Classes. - Jennifer Ding, Christopher Akiki, Yacine Jernite, Anne Lee Steele, Temi Popo:
Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives. - Pouria Paymard, Abolfazl Amiri, Troels E. Kolding, Klaus I. Pedersen:
Performance of Joint XR and Best Effort eMBB Traffic in 5G-Advanced Networks. - Sven Pieper, Carl Willy Mehling, Dominik Hirsch, Tobias Lüke, Steffen Ihlenfeldt:
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge Graphs. - Elizaveta Tennant, Stephen Hailes, Mirco Musolesi:
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning. - Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Xingzhe Su, Fengge Wu, Changwen Zheng, Fuchun Sun:
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. - Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning. - Szu-Jui Chen, Debjyoti Paul, Yutong Pang, Peng Su, Xuedong Zhang:
Language Agnostic Data-Driven Inverse Text Normalization. - Hiroyuki Kido:
Generative Logic with Time: Beyond Logical Consistency and Statistical Possibility. - Lars A. L. Janssen, Bart Besselink, Rob H. B. Fey, Nathan van de Wouw:
Modular Model Reduction of Interconnected Systems: A Top-Down Approach. - Beatrice Bisighini, Miquel Aguirre, Marco Evangelos Biancolini, Federica Trovalusci, David Perrin, Stephane Avril, Baptiste Pierrat:
Machine learning and reduced order modelling for the simulation of braided stent deployment. - Hamid Reza Erfani Jazi, Luis A. Camuñas-Mesa, Elisa Vianello, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
A Fully Digital Relaxation-Aware Analog Programming Technique for HfOx RRAM Arrays. - Nicolas Küchler, Emanuel Opel, Hidde Lycklama, Alexander Viand, Anwar Hithnawi:
Cohere: Privacy Management in Large Scale Systems. - Haksoo Lim, Minjung Kim, Sewon Park, Noseong Park:
Regular Time-series Generation using SGM. - Pritam Goswami, Avisek Sharma, Satakshi Ghosh, Buddhadeb Sau:
Rendezvous on a Known Dynamic Point on a Finite Unoriented Grid. - (Withdrawn) Side Contract Commitment Attacks on Blockchains.
- Haoji Hu, Haowen Lin, Yao-Yi Chiang:
Clustering Human Mobility with Multiple Spaces. - Fabian Eitel, Marc-André Schulz, Moritz Seiler, Henrik Walter, Kerstin Ritter:
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research. - Alexander J. M. Milne, Xianghua Xie:
Predicting Surface Texture in Steel Manufacturing at Speed. - Jan Mucha, Zoltan Galaz, Jirí Mekyska, Marcos Faúndez-Zanuy, Vojtech Zvoncak, Zdenek Smékal, Lubos Brabenec, Irena Rektorová:
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis. - Luca Bartolomei, Lucas Teixeira, Margarita Chli:
Towards Multi-robot Exploration: A Decentralized Strategy for UAV Forest Exploration. - Sihao Sun, Antonio Franchi:
Nonlinear MPC for full-pose manipulation of a cable-suspended load using multiple UAVs. - Stephen Meisenbacher, Peter Norlander:
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML). - Kim G. Larsen, Daniele Toller, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Optimality-preserving Reduction of Chemical Reaction Networks. - Matej Grcic, Sinisa Segvic:
Hybrid Open-set Segmentation with Synthetic Negative Data. - Allan Zhou, Moo Jin Kim, Lirui Wang, Pete Florence, Chelsea Finn:
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis. - Théodore Conrad, Arthur Vinciguerra, Guillaume Méroué:
About constant-product automated market makers. - Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Latent Autoregressive Source Separation. - Jianheng Tang, Kejia Fan, Wenxuan Xie, Luomin Zeng, Feijiang Han, Guosheng Huang, Tian Wang, Anfeng Liu, Shaobo Zhang:
A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd. - Sifat Ut Taki, Spyridon Mastorakis:
An NDN-Enabled Fog Radio Access Network Architecture With Distributed In-Network Caching. - Elif Hilal Korkut, Elif Sürer:
Developing a Framework for Heterotopias as Discursive Playgrounds: A Comparative Analysis of Non-Immersive and Immersive Technologies. - Max Bolderman, Hans Butler, Sjirk H. Koekebakker, Eelco van Horssen, Ramidin Kamidi, Theresa Spaan-Burke, Nard Strijbosch, Mircea Lazar:
Physics-guided neural networks for feedforward control with input-to-state stability guarantees. - Roberto Gorrieri:
Distributed Non-Interference. - Xudong Hong, Asad B. Sayeed, Khushboo Mehra, Vera Demberg, Bernt Schiele:
Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences. - Martin Glauer, Fabian Neuhaus, Till Mossakowski, Janna Hastings:
Ontology Pre-training for Poison Prediction. - Adolphe J. Béquet, Antonio R. Hidalgo-Muñoz, Fabien Moreau, Joshua Quick, Christophe Jallais:
Subtle interactions for distress regulation: efficiency of a haptic wearable according to personality. - Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
Improving Sketch Colorization using Adversarial Segmentation Consistency. - Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best:
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. - Céline Jost, Justin Debloos, Agnès Piquard-Kipffer, Caroline Barbot-Bouzit, Brigitte Le Pévédic:
PRIM project: what contributions for disabilities? - Yair Neuman, Vladyslav Kozhukhov, Dan Vilenchik:
Data Augmentation for Modeling Human Personality: The Dexter Machine. - Christel Baier, Clemens Dubslaff, Holger Hermanns, Nikolai Käfer:
On the Foundations of Cycles in Bayesian Networks. - (Withdrawn) Verification of crossbar-based lattice through modeling technique.
- Jie Li, Brandon Cook, Yong Chen:
ARcode: HPC Application Recognition Through Image-encoded Monitoring Data. - Bruno Oliveira, Carla Teixeira Lopes:
The Evolution of Web Search User Interfaces - An Archaeological Analysis of Google Search Engine Result Pages. - Aina Wang, Pan Qin, Xi-Ming Sun:
Coupled Physics-informed Neural Networks for Inferring Solutions of Partial Differential Equations with Unknown Source Terms. - Mathias Lemke, Lewin Stein:
Adjoint-Based Identification of Sound Sources for Sound Reinforcement and Source Localization. - Julie Jarzemsky, Joshua Paup, Casey Fiesler:
"This Applies to the RealWorld": Student Perspectives on Integrating Ethics into a Computer Science Assignment. - Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke:
Generative Slate Recommendation with Reinforcement Learning. - Hajri Imen, Fethi Ben Belgacem:
Convergent approaches for the Dirichlet Monge ampère problem. - Dieu Linh Truong, The Ngoc Dang:
Optimal multiple FSO transceiver configuration for using on High-altitude platforms. - Thomas Hagen, Thomas Espeseth:
Image Memorability Prediction with Vision Transformers. - Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. - Dominik Sobania, Martin Briesch, Carol Hanna, Justyna Petke:
An Analysis of the Automatic Bug Fixing Performance of ChatGPT. - Tobias Winkler, Joost-Pieter Katoen:
Certificates for Probabilistic Pushdown Automata via Optimistic Value Iteration. - Shenggan Cheng, Ziming Liu, Jiangsu Du, Yang You:
ATP: Adaptive Tensor Parallelism for Foundation Models. - Diana Costa, Andreia Mordido, Diogo Poças, Vasco T. Vasconcelos:
System Fμω with Context-free Session Types. - Mofeng Yang, Weiyu Luo, Mohammad Ashoori, Jina Mahmoudi, Chenfeng Xiong, Jiawei Lu, Guangchen Zhao, Saeed Saleh Namadi, Songhua Hu, Aliakbar Kabiri:
A Big-Data Driven Framework to Estimating Vehicle Volume based on Mobile Device Location Data. - Tingting Yuan, Liang Mi, Weijun Wang, Haipeng Dai, Xiaoming Fu:
AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics. - Dominik Sobania, Martin Briesch, Philipp Röchner, Franz Rothlauf:
MTGP: Combining Metamorphic Testing and Genetic Programming. - Shaoquan Jiang, Dima Alhadidi, Hamid Fazli Khojir:
Key-and-Signature Compact Multi-Signatures for Blockchain: A Compiler with Realizations. - Moritz Böhle, Mario Fritz, Bernt Schiele:
Holistically Explainable Vision Transformers. - Joseph Naor, Aravind Srinivasan, David Wajc:
Online Dependent Rounding Schemes. - Pavel Surynek:
Counterexample Guided Abstraction Refinement with Non-Refined Abstractions for Multi-Agent Path Finding. - Gyeongha Hwang, Gihyeon Jeon, Sunghwan Moon:
Self-supervised learning for a nonlinear inverse problem with forward operator involving an unknown function arising in Photoacoustic Tomography. - Beomyeol Jeon, Linda Cai, Chirag Shetty, Pallavi Srivastava, Jintao Jiang, Xiaolan Ke, Yitao Meng, Cong Xie, Indranil Gupta:
Baechi: Fast Device Placement of Machine Learning Graphs. - Henrik Brodin, Evan Sultanik, Marek Surovic:
Blind Spots: Automatically detecting ignored program inputs. - Qifa Yan, Xiaohu Tang, Zhengchun Zhou:
Robust, Private and Secure Cache-Aided Scalar Linear Function Retrieval from Blind Servers. - Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian, Charlotte Debus, Alexander Schug, Achim Streit, Markus Götz:
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations. - Yangge Li, Haoqing Zhu, Katherine Braught, Keyi Shen, Sayan Mitra:
Verse: A Python library for reasoning about multi-agent hybrid system scenarios. - Adrian Stein, Tarunraj Singh:
Minimum Time Control of a Gantry Crane System with Rate Constraints. - Parth Parikh, Anisha Gupta:
Reversing The Twenty Questions Game. - Aldo Badano, Miguel A. Lago, Elena Sizikova, Jana G. Delfino, S. Guan, M. A. Anastasio, Berkman Sahiner:
The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. - Zhoujun Cheng, Jungo Kasai, Tao Yu:
Batch Prompting: Efficient Inference with Large Language Model APIs. - Colin White, Mahmoud Safari, Rhea Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter:
Neural Architecture Search: Insights from 1000 Papers. - Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi:
Novel-View Acoustic Synthesis. - James A. Michaelov, Seana Coulson, Benjamin K. Bergen:
Can Peanuts Fall in Love with Distributional Semantics? - Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han:
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. - Inês Hipólito, Katie Winkle, Merete Lie:
Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction. - Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, Zhaopeng Tu:
Is ChatGPT A Good Translator? A Preliminary Study. - Girmaw Abebe Tadesse, Jannis Born, Celia Cintas, William Ogallo, Dmitry Zubarev, Matteo Manica, Komminist Weldemariam:
Domain-agnostic and Multi-level Evaluation of Generative Models. - Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu:
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. - Xuansheng Wu, Xinyu He, Tianming Li, Ninghao Liu, Xiaoming Zhai:
Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education. - Chong Zhang, Zhenkun Zhou, Xingyu Peng, Ke Xu:
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks. - Anthony Bonato, Ketan Chaudhary:
The Iterated Local Transitivity Model for Tournaments. - Tanveer Khan, Khoa Nguyen, Antonis Michalas:
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning. - Noah T. Curran, Thomas Kennings, Kang G. Shin:
Is Boeing 737-MAX Still Safe? Analysis and Prevention of MCAS-Induced Crashes. - Mubarrat Chowdhury, Elkhan Ismayilzada, Khalequzzaman Sayem, Gi-Soo Kim:
GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation. - Andrew C. Freeman, Montek Singh, Ketan Mayer-Patel:
An Asynchronous Intensity Representation for Framed and Event Video Sources. - Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró:
Visual Semantic Relatedness Dataset for Image Captioning. - Daniel Primosch, Yuan-Hang Zhang, Massimiliano Di Ventra:
Self-Averaging of Digital MemComputing Machines. - Chiwoo Park, Robert Waelder, Bonggwon Kang, Benji Maruyama, Soondo Hong, Robert B. Gramacy:
Active Learning of Piecewise Gaussian Process Surrogates. - Justus Isaiah Hibshman, Tim Weninger:
Inherent Limits on Topology-Based Link Prediction. - Batu Kaan Oezen:
Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future Improvement. - Fatemeh Ghorbani, Mohammad Kia, Mehdi Delrobaei, Quazi Rahman:
Evaluating the Possibility of Integrating Augmented Reality and Internet of Things Technologies to Help Patients with Alzheimer's Disease. - Zoubeir Mlika, Soumaya Cherkaoui, Jean Frédéric Laprade, Simon Corbeil-Letourneau:
User Trajectory Prediction in Mobile Wireless Networks Using Quantum Reservoir Computing. - Satish Kumar, Rui Kou, Henry Hill, Jake Lempges, Eric Qian, Vikram Jayaram:
In-situ Water quality monitoring in Oil and Gas operations. - Kailash A. Hambarde, Hugo Proença:
Information Retrieval: Recent Advances and Beyond. - Christian Schmidt, Heinrich Martin Overhoff:
Impact of PCA-based preprocessing and different CNN structures on deformable registration of sonograms. - Nikolay Ivanov, Qiben Yan, Anurag Kompalli:
TxT: Real-time Transaction Encapsulation for Ethereum Smart Contracts. - Zachary Fulker, Christoph Riedl:
Who wants to cooperate-and why? Attitude and perception of crowd workers in online labor markets. - A. S. Shurup:
Functional-analytical reconstruction of high contrast inhomogeneities. - Yinghao Aaron Li, Cong Han, Xilin Jiang, Nima Mesgarani:
Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions. - Bo Chen, Calvin Hawkins, Mustafa O. Karabag, Cyrus Neary, Matthew T. Hale, Ufuk Topcu:
Differential Privacy in Cooperative Multiagent Planning. - Mansoor Ali, Faisal Naeem, Nadir H. Adam, Georges Kaddoum, Noor ul Huda, Muhammad Adnan, Muhammad Tariq:
Integration of Data Driven Technologies in Smart Grids for Resilient and Sustainable Smart Cities: A Comprehensive Review. - Lesly Miculicich, Benjamin Han:
Document Summarization with Text Segmentation. - Saray Busto, Michael Dumbser:
A staggered semi-implicit hybrid finite volume / finite element scheme for the shallow water equations at all Froude numbers. - Feng Mi, Chen Zhao, Zhuoyi Wang, Sadaf Md. Halim, Xiaodi Li, Zhouxiang Wu, Latifur Khan, Bhavani Thuraisingham:
An Automated Vulnerability Detection Framework for Smart Contracts. - Thanveer Shaik, Xiaohui Tao, Yan Li, Christopher Dann, Jacquie McDonald, Petrea Redmond, Linda Galligan:
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis. - Thanveer Shaik, Xiaohui Tao, Niall Higgins, Haoran Xie, Raj Gururajan, Xujuan Zhou:
AI enabled RPM for Mental Health Facility. - Carlos Martin, Tuomas Sandholm:
Computing equilibria by minimizing exploitability with best-response ensembles. - Michail Chatzianastasis, Michalis Vazirgiannis, Zijun Zhang:
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction. - Xiaohan Ding, Mike Horning, Eugenia H. Rho:
Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarization on Social Media Discourse. - Natraj Raman, Daniele Magazzeni, Sameena Shah:
Bayesian Hierarchical Models for Counterfactual Estimation. - Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. - Jie Guan, Jay Irizawa, Alexis Morris:
Extended Reality and Internet of Things for Hyper-Connected Metaverse Environments. - Cynthia Dwork, Daniel Lee, Huijia Lin, Pranay Tankala:
New Insights into Multi-Calibration. - Michael A. Alcorn:
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions. - Abanoub Ghobrial, Hamid Asgari, Kerstin Eder:
Towards a Measure of Trustworthiness to Evaluate CNNs During Operation. - Seonho Park, Wenbo Chen, Terrence W. K. Mak, Pascal Van Hentenryck:
Compact Optimization Learning for AC Optimal Power Flow. - Klas Leino:
Limitations of Piecewise Linearity for Efficient Robustness Certification. - Zhidi Lin, Feng Yin:
Towards Flexibility and Interpretability of Gaussian Process State-Space Model. - Ximing Li, Chendi Wang, Guang Cheng:
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms. - Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio:
Regeneration Learning: A Learning Paradigm for Data Generation. - Timo Camillo Merkl, Reinhard Pichler, Sebastian Skritek:
Diversity of Answers to Conjunctive Queries. - Sofie Daniels, Jiugeng Sun, Jiaqing Xie:
CADA-GAN: Context-Aware GAN with Data Augmentation. - Yongqi Han, Qingfeng Du, Jincheng Xu, Shengjie Zhao, Zhekang Chen, Li Cao, Kanglin Yin, Dan Pei:
LWS: A Framework for Log-based Workload Simulation in Session-based SUT. - Ling Ge, Chunming Hu, Guanghui Ma, Hong Zhang, Jihong Liu:
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition. - Pengyu Yin, Di Wang, Shaoyi Du, Shihui Ying, Yue Gao, Nanning Zheng:
CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence. - Zihao Wang, Yangqiu Song, Ginny Y. Wong, Simon See:
Logical Message Passing Networks with One-hop Inference on Atomic Formulas. - Yang Li, Meng Han, Mohammad Shahidehpour, Jiazheng Li, Chao Long:
Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response. - Omid Abbasi, Animesh Yadav, Halim Yanikomeroglu, Ngoc-Dung Dào, Gamini Senarath, Peiying Zhu:
HAPS for 6G Networks: Potential Use Cases, Open Challenges, and Possible Solutions. - Dom Huh, Prasant Mohapatra:
Decentralized Multi-agent Filtering. - Kengyuan Xie, Guofa Cai, Georges Kaddoum, Jiguang He:
Performance Analysis and Resource Allocation of STAR-RIS Aided Wireless-Powered NOMA System. - Sudeep Salgia, Karthik Murthy, Qing Zhao, Tamir Gabay, Kobi Cohen:
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret. - Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu:
Ti-MAE: Self-Supervised Masked Time Series Autoencoders. - Joshua Kavner, Reshef Meir, Francesca Rossi, Lirong Xia:
Convergence of Multi-Issue Iterative Voting under Uncertainty. - Nan Wu, Hiroshi Kera, Kazuhiko Kawamoto:
Improving Accuracy of Zero-Shot Action Recognition with Handcrafted Features. - Mahyar Ejlali, Ebrahim Arian, Sajjad Taghiyeh, Kristina Chambers, Amir Hossein Sadeghi, Demet Cakdi, Robert B. Handfield:
Developing Hybrid Machine Learning Models to Assign Health Score to Railcar Fleets for Optimal Decision Making. - Xuhang Chen, Zinuo Li, Chi-Man Pun, Shuqiang Wang:
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement. - Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. - Zongyu Guo, Cuiling Lan, Zhizheng Zhang, Yan Lu, Zhibo Chen:
Versatile Neural Processes for Learning Implicit Neural Representations. - Nikolaj Tatti:
Fast likelihood-based change point detection. - Yuanqing Wang, John D. Chodera:
Spatial Attention Kinetic Networks with E(n)-Equivariance. - Qiao Tan, Jingjing Zhang, Feng Zhu:
ABS: Adaptive Bounded Staleness Converges Faster and Communicates Less. - Sahil Tyagi, Martin Swany:
ScaDLES: Scalable Deep Learning over Streaming data at the Edge. - Hao Feng, Wengang Zhou, Yufei Yin, Jiajun Deng, Qi Sun, Houqiang Li:
Recurrent Contour-based Instance Segmentation with Progressive Learning. - Leila Tlebaldiyeva, Sultangali Arzykulov, Khaled M. Rabie, Xingwang Li, Galymzhan Nauryzbayev:
Outage Performance of Fluid Antenna System (FAS)-aided Terahertz Communication Networks. - Edward A. Lee, Ravi Akella, Soroush Bateni, Shaokai Lin, Marten Lohstroh, Christian Menard:
Consistency vs. Availability in Distributed Real-Time Systems. - Zhe Huang, An Liu, Rui Du, Tony Xiao Han:
Capacity-CRB Tradeoff in OFDM Integrated Sensing and Communication Systems. - Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Laura J. Freeman, Feras A. Batarseh:
Rationalization for Explainable NLP: A Survey. - Siyuan Wang, Zhongyu Wei, Jiarong Xu, Zhihao Fan:
Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning. - Sai Gurrapu, Lifu Huang, Feras A. Batarseh:
ExClaim: Explainable Neural Claim Verification Using Rationalization. - Shihao Zhang, Linlin Yang, Michael Bi Mi, Xiaoxu Zheng, Angela Yao:
Improving Deep Regression with Ordinal Entropy. - Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim:
Is Signed Message Essential for Graph Neural Networks? - Konstantinos Ameranis, Antares Chen, Lorenzo Orecchia, Erasmo Tani:
Efficient Flow-based Approximation Algorithms for Submodular Hypergraph Partitioning via a Generalized Cut-Matching Game. - Lorenz Graf-Vlachy:
The Risk-Taking Software Engineer: A Framed Portrait. - Heng Li, Xiaodong Gu, Weihao Yuan, Luwei Yang, Zilong Dong, Ping Tan:
Dense RGB SLAM with Neural Implicit Maps. - Yohei M. Koyama:
Exponential sum approximations of finite completely monotonic functions. - Fleurianne Bertrand, Daniele Boffi, Abdul Halim:
Data-driven reduced order modeling for parametric PDE eigenvalue problems using Gaussian process regression. - Sin-En Lu, Bo-Han Lu, Chao-Yi Lu, Richard Tzong-Han Tsai:
Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien. - Tehseen Zia, Zeeshan Nisar, Shakeeb Murtaza:
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks. - Gabriele N. Tornetta:
On the Algebraic Properties of Flame Graphs. - Zhiming Chen, Ke Li, Xueshuang Xiang:
A high order unfitted finite element method for time-Harmonic Maxwell interface problems. - Denis Selimovic, Franko Hrzic, Jasna Prpic-Orsic, Jonatan Lerga:
Estimation of Sea State Parameters from Ship Motion Responses Using Attention-based Neural Networks. - Manuel Bradicic, Michal Sitarz, Felix Sylvest Olesen:
Genetically Modified Wolf Optimization with Stochastic Gradient Descent for Optimising Deep Neural Networks. - Chengmin Gao, Bin Li:
Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction. - Samuel Mallick, Airlie Chapman, Eric Schoof:
Second-Order Coverage Control for Multi-Agent UAV Photogrammetry. - Joao V. Merenda, Odemir M. Bruno:
Using deterministic tourist walk as a small-world metric on Watts-Strogatz networks. - Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, Michael J. Wise, Ajmal Mian:
Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps. - Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Leveraging Spatial and Temporal Correlations for Network Traffic Compression. - William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg:
Raw or Cooked? Object Detection on RAW Images. - Huancheng Chen, Chianing Johnny Wang, Haris Vikalo:
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. - Mario Grobler, Leif Sabellek, Sebastian Siebertz:
Parikh Automata on Infinite Words. - Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making. - Angzhi Fan, Yu Huang, Fei Xu, Sthitie Bom:
Soft Sensing Regression Model: from Sensor to Wafer Metrology Forecasting. - Kevin Koch, Martin Maritsch, Eva van Weenen, Stefan Feuerriegel, Matthias Pfäffli, Elgar Fleisch, Wolfgang Weinmann, Felix Wortmann:
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. - Erfan Asaadi, Ewen Denney, Ganesh Pai:
Towards Quantification of Assurance for Learning-enabled Components. - Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou:
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. - Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. - Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang:
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors. - Péter Madarasi:
Matchings under distance constraints II. - Ebenezer Agbozo:
A Hybrid Data-Driven Web-Based UI-UX Assessment Model. - Anoop Kadan, Deepak P, Manjary P. Gangan, Savitha Sam Abraham, Lajish V. L:
REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection. - Rohan Pandey:
Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings. - Monika Steidl, Michael Felderer, Rudolf Ramler:
The Pipeline for the Continuous Development of Artificial Intelligence Models - Current State of Research and Practice. - Anoop Kadan, Deepak P, Sahely Bhadra, Manjary P. Gangan, Lajish V. L:
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models. - Hosein Barzekar, Yash Patel, Ling Tong, Zeyun Yu:
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images. - Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan:
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. - Arya Hadizadeh Moghaddam, Saeedeh Momtazi:
A Semantic Modular Framework for Events Topic Modeling in Social Media. - Nikolos Gurney, David V. Pynadath, Ning Wang:
My Actions Speak Louder Than Your Words: When User Behavior Predicts Their Beliefs about Agents' Attributes. - Letian Zhang, Jie Xu:
E3Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation. - Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? - Ricardo Vega, Kevin Zhu, Sean Luke, Maryam Parsa, Cameron Nowzari:
Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations. - Kathrin Janowski, Elisabeth André:
Nichtverbales Verhalten sozialer Roboter: Bewegungen, deren Bedeutung und die Technik dahinter. - Amanda Shu, Hamza Khalid, Haohui Liu, Shikhar Agnihotri, Joseph Konan, Ojas Bhargave:
Cellular Network Speech Enhancement: Removing Background and Transmission Noise. - Murat Kocaoglu:
Characterization and Learning of Causal Graphs with Small Conditioning Sets. - William Marfo, Deepak K. Tosh, Shirley V. Moore:
Condition monitoring and anomaly detection in cyber-physical systems. - Kailai Li, Ziyu Cao, Uwe D. Hanebeck:
Continuous-Time Ultra-Wideband-Inertial Fusion. - Adrian-Petru Surani, Rahul Sahetiya:
Graph Convolutional Neural Networks for Optimal Power Flow Locational Marginal Price. - Mohd Sabra, Nisha Vinayaga-Sureshkanth, Ari Sharma, Anindya Maiti, Murtuza Jadliwala:
Exploiting Out-of-band Motion Sensor Data to De-anonymize Virtual Reality Users. - Brett Mullins:
The Shape of Explanations: A Topological Account of Rule-Based Explanations in Machine Learning. - Yihong Dong, Jiazheng Ding, Xue Jiang, Zhuo Li, Ge Li, Zhi Jin:
CodeScore: Evaluating Code Generation by Learning Code Execution. - Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins:
Learning to Reject with a Fixed Predictor: Application to Decontextualization. - Shengyi Gao, Zhe Chen, Guo Chen, Wenhai Wang, Tong Lu:
Champion Solution for the WSDM2023 Toloka VQA Challenge. - Andrew Ekblad, Trupti Mahendrakar, Ryan T. White, Markus Wilde, Isaac Silver, Brooke Wheeler:
Resource-constrained FPGA Design for Satellite Component Feature Extraction. - Trupti Mahendrakar, Andrew Ekblad, Nathan Fischer, Ryan T. White, Markus Wilde, Brian Kish, Isaac Silver:
Performance Study of YOLOv5 and Faster R-CNN for Autonomous Navigation around Non-Cooperative Targets. - Suayb S. Arslan:
Durability and Availability of Erasure-Coded Storage Systems with Concurrent Maintenance. - Trupti Mahendrakar, Steven Holmberg, Andrew Ekblad, Emma Conti, Ryan T. White, Markus Wilde, Isaac Silver:
Autonomous Rendezvous with Non-cooperative Target Objects with Swarm Chasers and Observers. - Trupti Mahendrakar, Basilio Caruso, Van Minh Nguyen, Ryan T. White, Todd Steffen:
3D Reconstruction of Non-cooperative Resident Space Objects using Instant NGP-accelerated NeRF and D-NeRF. - Yucheng Huang, Eksan Firkat, Ziwang Xiao, Jihong Zhu, Askar Hamdulla:
DASTSiam: Spatio-Temporal Fusion and Discriminative Augmentation for Improved Siamese Tracking. - Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu:
Provable Unrestricted Adversarial Training without Compromise with Generalizability. - Md. Rayid Hasan Mojumder:
Power System Stability Analysis using Neural Network. - Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. - Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. - Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing:
Bidirectional Propagation for Cross-Modal 3D Object Detection. - (Withdrawn) Dance2MIDI: Dance-driven multi-instruments music generation.
- Minjung Shin, Yunji Seo, Jeongmin Bae, Young Sun Choi, Hyunsu Kim, Hyeran Byun, Youngjung Uh:
BallGAN: 3D-aware Image Synthesis with a Spherical Background. - Charbel Bou Chaaya, Mohamad Assaad, Tijani Chahed:
RIS-assisted Cell-Free MIMO with Dynamic Arrivals and Departures of Users: A Novel Network Stability Approach. - Charbel Bou Chaaya, Mohamad Assaad, Tijani Chahed:
Initial Access Optimization for RIS-assisted Millimeter Wave Wireless Networks. - Massa Baali, Tomoki Hayashi, Hamdy Mubarak, Soumi Maiti, Shinji Watanabe, Wassim El-Hajj, Ahmed Ali:
Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study. - Bianca Trinkenreich, Klaas-Jan Stol, Igor Steinmacher, Marco Aurélio Gerosa, Anita Sarma, Marcelo Lara, Michael Feathers, Nicholas Ross, Kevin Bishop:
A Model for Understanding and Reducing Developer Burnout. - Jalmari Tuominen, Teemu Koivistoinen, Juho Kanniainen, Niku Oksala, Ari Palomäki, Antti Roine:
Early Warning Software for Emergency Department Crowding. - Zhiwei Li, Guodong Long, Tianyi Zhou:
Federated Recommendation with Additive Personalization. - Lijie Hu, Ivan Habernal, Lei Shen, Di Wang:
Differentially Private Natural Language Models: Recent Advances and Future Directions. - (Withdrawn) Causality-based Dual-Contrastive Learning Framework for Domain Generalization.
- Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Yi Wang, Yu Qiao, Weidi Xie:
Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision. - Sandeep Shinde, Tejas Pradhan, Aniket Ghorpade, Mihir Tale:
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks. - Subhajit Sahu:
Selecting a suitable Parallel Label-propagation based algorithm for Disjoint Community Detection. - Yutaka Shimizu, Ashkan Jasour, Maani Ghaffari, Shinpei Kato:
Moment-based Kalman Filter: Nonlinear Kalman Filtering with Exact Moment Propagation. - Tong Wu, Edoardo Manino, Fatimah Aljaafari, Pavlos Petoumenos, Lucas C. Cordeiro:
LF-checker: Machine Learning Acceleration of Bounded Model Checking for Concurrency Verification (Competition Contribution). - Yuri Gurevich:
The umbilical cord of finite model theory. - Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang:
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. - Kelin Li, Digby Chappell, Nicolás Rojas:
Immersive Demonstrations are the Key to Imitation Learning. - Mincheol Kim, Ashish D. Deshpande:
Differential Spiral Joint Mechanism for Coupled Variable Stiffness Actuation. - Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown:
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. - Keshav Iyengar, Sarah K. Spurgeon, Danail Stoyanov:
Deep Reinforcement Learning for Concentric Tube Robot Path Planning. - Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor:
Unifying Synergies between Self-supervised Learning and Dynamic Computation. - Meghana Bharadwaj, Sanjana Sarda:
Energy Prediction using Federated Learning. - Fausto Giunchiglia, Gábor Bella, Nandu Chandran Nair, Yang Chi, Hao Xu:
Representing Interlingual Meaning in Lexical Databases. - Roberto Daza, Luis F. Gomez, Aythami Morales, Julian Fiérrez, Ruben Tolosana, Ruth Cobos, Javier Ortega-Garcia:
MATT: Multimodal Attention Level Estimation for e-learning Platforms. - Tuan Manh Lai, Heng Ji:
Ensemble Transfer Learning for Multilingual Coreference Resolution. - Siyu Dai, Sangjae Bae, David Isele:
Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving. - Mrunmayi Mungekar, Leixin Ma, Wenzhong Yan, Vishal Kackar, Shyan Shokrazadeh, Mohammad Khalid Jawed:
Design of Bistable Soft Deployable Structures via a Kirigami-inspired Planar Fabrication Approach. - Laeeq Aslam Sandhu, Ebrahim Shahzad, Fatima Yaqoob, Sharjeel Abid Butt, Wasim Khan, I. M. Qureshi:
A New Paradigm for Improved Image Steganography by using Adaptive Number of Dominant Discrete Cosine Transform Coefficients. - Alpár Jüttner, Péter Madarasi:
A graph isomorphism invariant based on neighborhood aggregation. - Haley Bragg, Michele C. Weigle:
Discovering the Traces of Disinformation on Instagram in the Internet Archive. - Junyong You, Zheng Zhang:
Apples and Oranges? Assessing Image Quality over Content Recognition. - Hanlin Chen, Renyuan Luo, Yiheng Feng:
Improving Autonomous Vehicle Mapping and Navigation in Work Zones Using Crowdsourcing Vehicle Trajectories. - Imtiaz Karim, Kazi Samin Mubasshir, Mirza Masfiqur Rahman, Elisa Bertino:
SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis. - Menachem Sadigurschi, Moshe Shechner, Uri Stemmer:
Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model. - Xinshu Ma, Florentin Rochet, Tariq Elahi:
VeraSel: Verifiable Random Selection for Mixnets Construction. - Razvan-George Pasca, Alexey Gavryushin, Yen-Ling Kuo, Otmar Hilliges, Xi Wang:
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction. - Khalil Damak, Sami Khenissi, Olfa Nasraoui:
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers. - Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah:
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models. - Nikolaos Stathoulopoulos, Anton Koval, Ali-akbar Agha-mohammadi, George Nikolakopoulos:
FRAME: Fast and Robust Autonomous 3D point cloud Map-merging for Egocentric multi-robot exploration. - Da Wei Zheng, Monika Henzinger:
Multiplicative Auction Algorithm for Approximate Maximum Weight Bipartite Matching. - Chandana Raju, Sumedh Vilas Datar, Kushala Hari, Kavin Vijay, Suma Ningappa:
Applied Deep Learning to Identify and Localize Polyps from Endoscopic Images. - Se-In Jang:
Deterministic Online Classification: Non-iteratively Reweighted Recursive Least-Squares for Binary Class Rebalancing. - Kunlong Chen, Liu Yang, Yitian Chen, Kunjin Chen, Yidan Xu, Lujun Li:
GP-NAS-ensemble: a model for NAS Performance Prediction. - Ahsan Habib, Chandan K. Karmakar, John Yearwood:
Optimising complexity of CNN models for resource constrained devices: QRS detection case study. - Sandra Kiefer, Lê Thành Dung Nguyên, Cécilia Pradic:
Revisiting the growth of polyregular functions: output languages, weighted automata and unary inputs. - Yusuke Sakemi, Sou Nobukawa, Toshitaka Matsuki, Takashi Morie, Kazuyuki Aihara:
Learning Reservoir Dynamics with Temporal Self-Modulation. - Xiachong Feng, Xiaocheng Feng, Bing Qin:
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning. - Ayush Kaushal, Aditya Gupta, Shyam Upadhyay, Manaal Faruqui:
Efficient Encoders for Streaming Sequence Tagging. - Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang:
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks. - Jiao Zhou, Yingli Ran, Zhao Zhang, Shaojie Tang:
Improved Approximation Algorithm for Minimum-Weight (1, m)-Connected Dominating Set. - Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh:
Exploring Active 3D Object Detection from a Generalization Perspective. - Pranjal Awasthi, Kush Bhatia, Sreenivas Gollapudi, Kostas Kollias:
Congested Bandits: Optimal Routing via Short-term Resets. - Huan Lei, Ruitao Leng, Liang Zheng, Hongdong Li:
CircNet: Meshing 3D Point Clouds with Circumcenter Detection. - Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel:
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. - Teru Nagamori, Hitoshi Kiya:
Combined Use of Federated Learning and Image Encryption for Privacy-Preserving Image Classification with Vision Transformer. - Wenqiang Du, Giovanni Beltrame:
Real-Time Simultaneous Localization and Mapping with LiDAR intensity. - Lianglu Pan, Shaanan Cohney, Toby Murray, Van-Thuan Pham:
Detecting Excessive Data Exposures in Web Server Responses with Metamorphic Fuzzing. - Yuan Feng, Hyeran Jeon, Filip Blagojevic, Cyril Guyot, Qing Li, Dong Li:
MEMO : Accelerating Transformers with Memoization on Big Memory Systems. - Mahdi Zolnouri, Dounia Lakhmiri, Christophe Tribes, Eyyüb Sari, Sébastien Le Digabel:
Efficient Training Under Limited Resources. - Aditya Kallappa, Sandeep Nagar, Girish Varma:
FInC Flow: Fast and Invertible k×k Convolutions for Normalizing Flows. - Brian Li, Steven Palayew, Francis Li, Saad Abbasi, Saeejith Nair, Alexander Wong:
PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge. - Yangyi Liu, Stefano Rini, Sadaf Salehkalaibar, Jun Chen:
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion. - Yizhong Sun, Jiangshan Wang, Haibiao Zheng:
Novel ensemble algorithms for random two-domain parabolic problems. - Arka Ray, Sai Sandeep:
Improved Hardness of Approximation for Geometric Bin Packing. - Xiang Li, Mustafa Abdallah, Shikhar Suryavansh, Mung Chiang, Saurabh Bagchi:
DAG-based Task Orchestration for Edge Computing. - Jean Lee, Hoyoul Luis Youn, Josiah Poon, Soyeon Caren Han:
StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series. - Manan Gupta, Sandeep Chinchali, Paul Parayil Varkey, Jeffrey G. Andrews:
Forecaster-aided User Association and Load Balancing in Multi-band Mobile Networks. - LeAnn McDowall, Maria Antoniak, David Mimno:
Sensemaking About Contraceptive Methods Across Online Platforms. - Yinheng Li, Han Ding, Shaofei Wang:
Self-Supervised Image Representation Learning: Transcending Masking with Paired Image Overlay. - Min Qiu, Yu-Chih Huang, Jinhong Yuan:
Downlink Transmission under Heterogeneous Blocklength Constraints: Discrete Signaling with Single-User Decoding. - Mohammad Azharuddin Sanpui:
Chore Cutting: Envy and Truth. - Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò:
On the Expressive Power of Geometric Graph Neural Networks. - Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee:
SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. - Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration. - Armstrong Aboah, Abdul Rashid Mussah, Yaw Adu-Gyamfi:
AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment. - Sayed Erfan Arefin:
A Survey on Actionable Knowledge. - Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler:
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. - Rachid Belmeskine, Abed Benaichouche:
A Framework for Evaluating the Impact of Food Security Scenarios. - Siyuan Liang, Long Huo, Xin Chen, Peiyuan Sun:
Optimal Inter-area Oscillation Damping Control: A Transfer Deep Reinforcement Learning Approach with Switching Control Strategy. - Nhan-Phu Chung, Jaeseong Jeong, Namhun Koo, Soonhak Kwon:
cc-differential uniformity, (almost) perfect cc-nonlinearity, and equivalences. - Mingyang Deng, Ce Jin, Xiao Mao:
Approximating Knapsack and Partition via Dense Subset Sums. - Misha Stepanov:
Eight-stage pseudo-symplectic Runge-Kutta methods of order (4, 8). - Astrid Berg, Eva Vandersmissen, Maria Wimmer, David Major, Theresa Neubauer, Dimitrios Lenis, Jeroen Cant, Annemiek Snoeckx, Katja Bühler:
Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods. - Khalid Alnujaidi, Ghadah Alhabib:
Computer Vision for a Camel-Vehicle Collision Mitigation System. - Martin Nägele, Rico Zenklusen:
A New Dynamic Programming Approach for Spanning Trees with Chain Constraints and Beyond. - Alexander Bentkamp, Ramon Fernández Mir, Jeremy Avigad:
Verified reductions for optimization. - Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras:
Large-scale fine-grained semantic indexing of biomedical literature based on weakly-supervised deep learning. - Li Ju, Tianru Zhang, Salman Toor, Andreas Hellander:
Accelerating Fair Federated Learning: Adaptive Federated Adam. - Kusum Lata, Pardeep Singh, Kamlesh Dutta:
SMDDH: Singleton Mention detection using Deep Learning in Hindi Text. - Zhao Ren, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian, Björn W. Schuller:
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. - Younes El koudia, Jarou Tarik, Abdouni Jawad, Sofia El Idrissi, Elmahdi Nasri:
Modeling and Design of Longitudinal and Lateral Control System with a FeedForward Controller for a 4 Wheeled Robot. - Binquan Guo, Hongyan Li, Zhou Zhang, Ye Yan:
Online Network Slicing for Real Time Applications in Large-scale Satellite Networks. - Hao Wen, Jing Huang, Huili Cui, Haozhe Lin, Yu-Kun Lai, Lu Fang, Kun Li:
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image. - Xavier Salleras:
Citadel: Self-Sovereign Identities on Dusk Network. - Gerrit Nolte:
A Structural Approach to the Design of Domain Specific Neural Network Architectures. - Shreya Tayade, Peter Rost, Andreas Mäder, Hans D. Schotten:
Resource Allocation with Stability Constraints of an Edge-cloud controlled AGV. - David Petrescu, Paul A. Warren, Zahra Montazeri, Stephen Pettifer:
Velocity-Based LOD Reduction in Virtual Reality: A Psychometric Approach. - Josue Rivera, Julio Garrido Campos, Enrique Riveiro, Diego Silva:
Environment for the Design and Automation of New CDPR Architectures. - Ruben Schlagowski, Dariia Nazarenko, Yekta Said Can, Kunal Gupta, Silvan Mertes, Mark Billinghurst, Elisabeth André:
Wish You Were Here: Mental and Physiological Effects of Remote Music Collaboration in Mixed Reality. - Dipak K. Bhunia, Cristina Fernández-Córdoba, Mercè Villanueva:
Z2Z4Z8-Additive Hadamard Codes. - Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
The Reasonable Effectiveness of Diverse Evaluation Data. - Lennart Brocki, George C. Dyer, Anna Gladka, Neo Christopher Chung:
Deep Learning Mental Health Dialogue System. - Mahyar Emami, Sahand Kashani, Keisuke Kamahori, Mohammad Sepehr Pourghannad, Ritik Raj, James R. Larus:
Manticore: Hardware-Accelerated RTL Simulation with Static Bulk-Synchronous Parallelism. - Zhenghao Zhang, Fangtao Shao, Zuozhuo Dai, Siyu Zhu:
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer. - Ansh Mittal, Aditya Malte:
On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment. - Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan:
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. - Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane:
Explaining the effects of non-convergent sampling in the training of Energy-Based Models. - Fatih Bildirici, Ömür Akdemir:
From Agile to DevOps, Holistic Approach for Faster and Efficient Software Product Release Management. - Mingqiang Wei, Yiyang Shen, Yongzhen Wang, Haoran Xie, Fu Lee Wang:
RainDiffusion: When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining. - Martin Gronemann, Martin Nöllenburg, Anaïs Villedieu:
Splitting Plane Graphs to Outerplanarity. - Joel Ho, Nick Pepper, Tim J. Dodwell:
Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling. - Silvia Fareri, Riccardo Apreda, Valentina Mulas, Rubén Alonso:
The Energy Worker Profiler from Technologies to Skills to Realize Energy Efficiency in Manufacturing. - Quentin Duval, Ishan Misra, Nicolas Ballas:
A Simple Recipe for Competitive Low-compute Self supervised Vision Models. - Yoann Pigné, Vincent Bridonneau, Frédéric Guinand:
Dynamic Graphs Generators Analysis : an Illustrative Case Study. - Vít Dolejsí, Scott Congreve:
Goal-oriented error analysis of iterative Galerkin discretizations for nonlinear problems including linearization and algebraic errors. - Kun Li, George Vosselman, Michael Ying Yang:
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images. - Óscar Ibáñez, Enrique Bermejo Nievas, Andrea Valsecchi:
Study on the identification limits of craniofacial superimposition. - Siddharth Agarwal, Minwoo Lee, Ren Wang, Mohammad Alian:
Enabling Kernel Bypass Networking on gem5. - Maxime Egéa:
(Non)-penalized Multilevel methods for non-uniformly log-concave distributions. - Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan:
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. - Philip Bille, Johannes Fischer, Inge Li Gørtz, Max Rishøj Pedersen, Tord Joakim Stordalen:
Sliding Window String Indexing in Streams. - (Withdrawn) Augmented Block-Arnoldi Recycling CFD Solvers.
- Manisha Chetry, Domenico Borzacchiello, Lucas Lestandi, Luisa Rocha-Da-Silva:
An iterative multi-fidelity approach for model order reduction of multi-dimensional input parametric PDE systems. - Billy Joe Franks, Benjamin Dinkelmann, Sophie Fellenz, Marius Kloft:
Ordinal Regression for Difficulty Estimation of StepMania Levels. - Alessandro Flaborea, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Marco Aurelio Sterpa, Alessio Sampieri, Fabio Galasso:
Contracting Skeletal Kinematic Embeddings for Anomaly Detection. - Andreas Kirsch:
Speeding Up BatchBALD: A k-BALD Family of Approximations for Active Learning. - Hanuma Teja Maddali, Amanda Lazar:
Understanding Context to Capture when Reconstructing Meaningful Spaces for Remote Instruction and Connecting in XR. - Lorenzo Simone, Davide Bacciu:
ECGAN: Self-supervised generative adversarial network for electrocardiography. - Maad Ebrahim, Abdelhakim Hafid:
Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning Approach. - Fei Shen, Xiaoyu Du, Liyan Zhang, Jinhui Tang:
Triplet Contrastive Learning for Unsupervised Vehicle Re-identification. - Bohang Zhang, Shengjie Luo, Liwei Wang, Di He:
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. - Keyan Chen, Xiaolong Jiang, Yao Hu, Xu Tang, Yan Gao, Jianqi Chen, Weidi Xie:
OvarNet: Towards Open-vocabulary Object Attribute Recognition. - Kavita Kumari, Phillip Rieger, Hossein Fereidooni, Murtuza Jadliwala, Ahmad-Reza Sadeghi:
BayBFed: Bayesian Backdoor Defense for Federated Learning. - Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila:
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. - Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons:
Sampling-based Nyström Approximation and Kernel Quadrature. - Ralph Peeters, Reng Chiz Der, Christian Bizer:
WDC Products: A Multi-Dimensional Entity Matching Benchmark. - Dengyu Wu, Gaojie Jin, Han Yu, Xinping Yi, Xiaowei Huang:
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. - Ana Nikolikj, Carola Doerr, Tome Eftimov:
RF+clust for Leave-One-Problem-Out Performance Prediction. - Vittorio Cortellessa, Daniele Di Pompeo, Vincenzo Stoico, Michele Tucci:
Many-Objective Optimization of Non-Functional Attributes based on Refactoring of Software Models. - Milo Roucairol, Tristan Cazenave:
Solving the HP model with Nested Monte Carlo Search. - Sebastian Gonzalez, Juan E. Tapia:
Improving Presentation Attack Detection for ID Cards on Remote Verification Systems. - Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen:
Learning to View: Decision Transformers for Active Object Detection. - Jesse Josua Benjamin, Heidi Biggs, Arne Berger, Julija Rukanskaite, Michael Heidt, Nick Merrill, James Pierce, Joseph Lindley:
The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies. - Hamed Ayoobi, Nico Potyka, Francesca Toni:
SpArX: Sparse Argumentative Explanations for Neural Networks. - Mathieu Marquis Bolduc, Hau Nghiep Phan:
Rig Inversion by Training a Differentiable Rig Function. - Federico Zocco, Hsueh-Cheng Wang, Mien Van:
Digital Twins for Marine Operations: A Brief Review on Their Implementation. - Jiarong Li:
A Multi-stack Power-to-Hydrogen Load Control Framework for the Power Factor-Constrained Integration in Volatile Peak Shaving Conditions. - Yongli Zhu, Chanan Singh:
A Free Industry-grade Education Tool for Bulk Power System Reliability Assessment. - Jonathan L. Fasig, Barry K. Gilbert, Erik S. Daniel:
Power Supply Compensation for Capacitive Loads. - Daniel Öhlinger, Ulrich Schmid:
A Digital Delay Model Supporting Large Adversarial Delay Variations. - Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman:
Zorro: the masked multimodal transformer. - Alexander Schulz-Rosengarten, Reinhard von Hanxleden, Marten Lohstroh, Soroush Bateni, Edward A. Lee:
Modal Reactors. - Saray Busto, Michael Dumbser, Laura Río-Martín:
An Arbitrary-Lagrangian-Eulerian hybrid finite volume/finite element method on moving unstructured meshes for the Navier-Stokes equations. - João P. C. Bertoldo, Santiago Velasco-Forero, Jesús Angulo, Etienne Decencière:
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation. - Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi:
FedExP: Speeding up Federated Averaging Via Extrapolation. - Zuzana Spitálová, Oliver Leontiev, Patrik Harmanos:
Concept of Delivery System in the Smart City Environment. - Clifton Paul Robinson, Daniel Uvaydov, Salvatore D'Oro, Tommaso Melodia:
Narrowband Interference Detection via Deep Learning. - Abhilekha Dalal, Md. Kamruzzaman Sarker, Adrita Barua, Pascal Hitzler:
Explaining Deep Learning Hidden Neuron Activations using Concept Induction. - Clifton Paul Robinson, Leonardo Bonati, Tara Van Nieuwstadt, Teddy Reiss, Pedram Johari, Michele Polese, Hieu Nguyen, Curtis Watson, Tommaso Melodia:
ESWORD: Implementation of Wireless Jamming Attacks in a Real-World Emulated Network. - Sophia J. Wagner, Daniel Reisenbüchler, Nicholas P. West, Jan Moritz Niehues, Gregory Patrick Veldhuizen, Philip Quirke, Heike Irmgard Grabsch, Piet A. van den Brandt, Gordon G. A. Hutchins, Susan D. Richman, Tanwei Yuan, Rupert Langer, Josien Christina Anna Jenniskens, Kelly Offermans, Wolfram Müller, Richard Gray, Stephen B. Gruber, Joel K. Greenson, Gad Rennert, Joseph D. Bonner, Daniel Schmolze, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Michael Hoffmeister, Daniel Truhn, Julia A. Schnabel, Melanie Boxberg, Tingying Peng, Jakob Nikolas Kather:
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. - Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras:
Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics. - Ethan Brewer, Zhonghui Lv, Daniel M. Runfola:
Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach. - Prithvi Akella, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames:
Barrier-Based Test Synthesis for Safety-Critical Systems Subject to Timed Reach-Avoid Specifications. - Malte Ostendorff, Georg Rehm:
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning. - Amin Karbasi, Kasper Green Larsen:
The Impossibility of Parallelizing Boosting. - Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas:
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. - Bostjan Vouk, Matej Guid, Marko Robnik-Sikonja:
Feature construction using explanations of individual predictions. - Ang Cao, Justin Johnson:
HexPlane: A Fast Representation for Dynamic Scenes. - Chieh Hubert Lin, Hsin-Ying Lee, Willi Menapace, Menglei Chai, Aliaksandr Siarohin, Ming-Hsuan Yang, Sergey Tulyakov:
InfiniCity: Infinite-Scale City Synthesis. - Saeed Najafi, Alona Fyshe:
Weakly-Supervised Questions for Zero-Shot Relation Extraction. - Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan:
Selective Explanations: Leveraging Human Input to Align Explainable AI. - Amir Ghasemi, Fatemeh Mottaghian, Akram Bayat:
Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans. - Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar:
Architectural Support for Efficient Data Movement in Disaggregated Systems. - Yulian Wu, Chaowen Guan, Vaneet Aggarwal, Di Wang:
Quantum Heavy-tailed Bandits. - Rodrigo Falcão, Raghad Matar, Bernd Rauch:
Using I4.0 digital twins in agriculture. - Ruoyu Xie, Antonios Anastasopoulos:
Noisy Parallel Data Alignment. - Zechen Xiong, Zihan Guo, Li Yuan, Yufeng Su, Yitong Liu, Hod Lipson:
Rapid grasping of fabric using bionic soft grippers with elastic instability. - Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense. - Wenbo Chen, Reem Khir, Pascal Van Hentenryck:
Two-Stage Learning For the Flexible Job Shop Scheduling Problem. - Lu Shi, Zhichao Liu, Konstantinos Karydis:
Koopman Operators for Modeling and Control of Soft Robotics. - Anna Winnicki, R. Srikant:
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation. - Avirup Sil, Jaydeep Sen, Bhavani Iyer, Martin Franz, Kshitij Fadnis, Mihaela Bornea, Sara Rosenthal, J. Scott McCarley, Rong Zhang, Vishwajeet Kumar, Yulong Li, Md. Arafat Sultan, Riyaz Bhat, Radu Florian, Salim Roukos:
PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development. - Qingchao Li, Mohammed El-Hajjar, Ibrahim A. Hemadeh, Deepa Jagyasi, Arman Shojaeifard, Lajos Hanzo:
Performance Analysis of Active RIS-aided Systems in the Face of Imperfect CSI and Phase Shift Noise. - Qingchao Li, Mohammed El-Hajjar, Ibrahim A. Hemadeh, Arman Shojaeifard, Alain A. M. Mourad, Lajos Hanzo:
Reconfigurable Intelligent Surface Aided Amplitude- and Phase-Modulated Downlink Transmission. - Ernest Davis:
Mathematics, word problems, common sense, and artificial intelligence. - Jang Hyun Cho, Philipp Krähenbühl:
Long-tail Detection with Effective Class-Margins. - Arian Askari, Amin Abolghasemi, Gabriella Pasi, Wessel Kraaij, Suzan Verberne:
Injecting the BM25 Score as Text Improves BERT-Based Re-rankers. - Elisa Donati, Simone Benatti, Enea Ceolini, Giacomo Indiveri:
Long-term stable Electromyography classification using Canonical Correlation Analysis. - Gökberk Yar, Cristina Nita-Rotaru, Alina Oprea:
Backdoor Attacks in Peer-to-Peer Federated Learning. - Christopher Griffin, Trevor K. Karn, Benjamin Apple:
Topological Structure is Predictive of Deep Neural Network Success in Learning. - Cheng-Jun Wang, Lihan Yan, Haochuan Cui:
Unpacking the Essential Tension of Knowledge Recombination: Analyzing the Impact of Knowledge Spanning on Citation Counts and Disruptive Innovation. - Hansika Weerasena, Prabhat Mishra:
Security of Electrical, Optical and Wireless On-Chip Interconnects: A Survey. - Haochuan Cui, Tiewei Li, Cheng-Jun Wang:
Breaking the Boundaries of Knowledge Space: Analyzing the Knowledge Spanning on the Q&A Website through Word Embeddings. - Onat Güngör, Tajana Rosing, Baris Aksanli:
DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics. - Tushar Pandey:
Topological Understanding of Neural Networks, a survey. - Aitazaz Ali Raja, Sergio Grammatico:
A fair Peer-to-Peer Electricity Market model for Residential Prosumers. - Saeed Karimi-Bidhendi, Giovanni Geraci, Hamid Jafarkhani:
Analysis of UAV Corridors in Cellular Networks. - Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs Campbell:
Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation. - Samiyuru Menik, Lakshmish Ramaswamy:
Towards Modular Machine Learning Solution Development: Benefits and Trade-offs. - Bernardo Subercaseaux, Marijn J. H. Heule:
The Packing Chromatic Number of the Infinite Square Grid is 15. - Asal Mehditabrizi, Mahdi Samadzad, Sina Sabzekar:
A deep reinforcement learning approach to assess the low-altitude airspace capacity for urban air mobility. - Yamen Ajjour, Johannes Kiesel, Benno Stein, Martin Potthast:
Topic Ontologies for Arguments. - Jayasree Sengupta, Sushmita Ruj, Sipra Das Bit:
FairShare: Blockchain Enabled Fair, Accountable and Secure Data Sharing for Industrial IoT. - Abhineet Jain, Jack Kolb, Harish Ravichandar:
Constrained Reinforcement Learning for Dexterous Manipulation. - Mariyam Amir, Murchana Baruah, Mahsa Eslamialishah, Sina Ehsani, Alireza Bahramali, Sadra Naddaf-Sh, Saman Zarandioon:
Truveta Mapper: A Zero-shot Ontology Alignment Framework. - Prasoon Goyal, Raymond J. Mooney, Scott Niekum:
Language-guided Task Adaptation for Imitation Learning. - Raymond Leung, Andrew J. Hill, Arman Melkumyan:
Automation and AI Technology in Surface Mining With a Brief Introduction to Open-Pit Operations in the Pilbara. - Owen Hellum, Christopher Steele, Yiming Xiao:
SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks. - Furkan Ercan, Kevin Galligan, David Starobinski, Muriel Médard, Ken R. Duffy, Rabia Tugce Yazicigil:
GRAND-EDGE: A Universal, Jamming-resilient Algorithm with Error-and-Erasure Decoding. - Zhonghua Sun, Cunsheng Ding:
Several families of ternary negacyclic codes and their duals. - Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, Zhang Xiong:
Transformer-Patcher: One Mistake worth One Neuron. - Jenny T. Liang, Maryam Arab, Minhyuk Ko, Amy J. Ko, Thomas D. LaToza:
A Qualitative Study on the Implementation Design Decisions of Developers. - Zhuohan Xie, Trevor Cohn, Jey Han Lau:
Can Very Large Pretrained Language Models Learn Storytelling With A Few Examples? - Achyuth Madabhushi:
Quantification of Damage Using Indirect Structural Health Monitoring. - Hadi Moheb-Alizadeh, Amir Hossein Sadeghi, Amirreza Sahebi fakhrabad, Megan Kramer Jaunich, Eda Kemahlioglu-Ziya, Robert B. Handfield:
Reverse Logistics Network Design to Estimate the Economic and Environmental Impacts of Take-back Legislation: A Case Study for E-waste Management System in Washington State. - Taishi Kotsuka, Yutaka Hori:
Stability analysis for circulant structured multi-agent molecular communication systems. - Andrew Boateng, Wenlong Zhang, Yu Zhang:
Improving Responsiveness to Robots for Tacit Human-Robot Interaction via Implicit and Naturalistic Team Status Projection. - Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Chengzhong Xu:
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach. - Alexander Bagnall, Gordon Stewart, Anindya Banerjee:
Inductive Reasoning for Coinductive Types. - Sayak Saha Roy, Dipanjan Das, Priyanka Bose, Christopher Kruegel, Giovanni Vigna, Shirin Nilizadeh:
Demystifying NFT Promotion and Phishing Scams. - Rahul Vaze:
On Dynamic Regret and Constraint Violations in Constrained Online Convex Optimization. - Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum:
Low-Resource Compositional Semantic Parsing with Concept Pretraining. - Dimitrios Los, Thomas Sauerwald, John Sylvester:
Balanced Allocations with Heterogeneous Bins: The Power of Memory. - Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens:
Multi-view Kernel PCA for Time series Forecasting. - Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. - Robert A. Lewis, Asma Ghandeharioun, Szymon Fedor, Paola Pedrelli, Rosalind W. Picard, David Mischoulon:
Mixed Effects Random Forests for Personalised Predictions of Clinical Depression Severity. - Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor:
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. - Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang:
On the convergence of Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem. - Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang:
Model Agnostic Sample Reweighting for Out-of-Distribution Learning. - Zihao Fu, Anthony Man-Cho So, Nigel Collier:
A Stability Analysis of Fine-Tuning a Pre-Trained Model. - Jennifer Wakulicz, Ki Myung Brian Lee, Teresa A. Vidal-Calleja, Robert Fitch:
Topological Trajectory Prediction with Homotopy Classes. - Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee:
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. - Moshe Y. Vardi, Zhiwei Zhang:
Solving Quantum-Inspired Perfect Matching Problems via Tutte's Theorem-Based Hybrid Boolean Constraints. - Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu:
FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version). - Tomàs Ortega, Hamid Jafarkhani:
Gossiped and Quantized Online Multi-Kernel Learning. - Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies. - Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan:
Neighborhood Homophily-Guided Graph Convolutional Network. - Engin Tekin, Elaheh Barati, Nitin Kamra, Ruta Desai:
Effective Baselines for Multiple Object Rearrangement Planning in Partially Observable Mapped Environments. - Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
PowerQuant: Automorphism Search for Non-Uniform Quantization. - Adrián Corrochano, Rodolfo S. M. Freitas, Alessandro Parente, Soledad Le Clainche:
A predictive physics-aware hybrid reduced order model for reacting flows. - Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani:
Same or Different? Diff-Vectors for Authorship Analysis. - Enrico Mingo Hoffman, Arturo Laurenzi, Francesco Ruscelli, Luca Rossini, Lorenzo Baccelliere, Davide Antonucci, Alessio Margan, Paolo Guria, Marco Migliorini, Stefano Cordasco, Gennaro Raiola, Luca Muratore, Joaquín Estremera Rodrigo, Andrea Rusconi, Guido Sangiovanni, Nikos G. Tsagarakis:
Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications. - Jinpeng Shi, Hui Li, Tianle Liu, Yulong Liu, Mingjian Zhang, Jinchen Zhu, Ling Zheng, Shizhuang Weng:
Image Super-Resolution using Efficient Striped Window Transformer. - Giovanni Luca Cascio Rizzo, Jonah Berger, Francisco Villarroel:
What Drives Virtual Influencer's Impact? - Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr:
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. - Mathias Zinnen, Prathmesh Madhu, Ronak Kosti, Peter Bell, Andreas K. Maier, Vincent Christlein:
ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition. - Lin Li, Michael W. Spratling:
Data Augmentation Alone Can Improve Adversarial Training. - Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Tong Zhang:
Probabilistic Bilevel Coreset Selection. - Andrew Lewis-Pye, Ittai Abraham:
Fever: Optimal Responsive View Synchronisation. - Yiran Zhao, Tiangang Cui:
Tensor-based Methods for Sequential State and Parameter Estimation in State Space Models. - Vignesh Viswanathan, Megha Bose, Praveen Paruchuri:
Learning Effective Strategies for Moving Target Defense with Switching Costs. - Alea Schröder, Maik Röper, Dirk Wübben, Bho Matthiesen, Petar Popovski, Armin Dekorsy:
A Comparison between RSMA, SDMA, and OMA in Multibeam LEO Satellite Systems. - Lord Christian Carl H. Regacho, Ai Matsushita, Angie M. Ceniza-Canillo:
Automated Identification of Disaster News For Crisis Management Using Machine Learning. - Petr Vanc, Jan Kristof Behrens, Karla Stépánová:
Context-aware robot control using gesture episodes. - Luke Haliburton, Sinksar Ghebremedhin, Robin Welsch, Albrecht Schmidt, Sven Mayer:
Investigating Labeler Bias in Face Annotation for Machine Learning. - Mathias Zinnen, Prathmesh Madhu, Peter Bell, Andreas K. Maier, Vincent Christlein:
Transfer Learning for Olfactory Object Detection. - Siting Liang, Mareike Hartmann, Daniel Sonntag:
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop. - Milad Alshomary, Henning Wachsmuth:
Conclusion-based Counter-Argument Generation. - Diptesh Kanojia, Aditya Joshi:
Applications and Challenges of Sentiment Analysis in Real-life Scenarios. - Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen:
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues. - (Withdrawn) Smart tutor to provide feedback in programming courses.
- Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. - Isabella Carla Gonnella, Martin W. Hess, Giovanni Stabile, Gianluigi Rozza:
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems. - Shahbozbek Abdunabiev, Andrea Merlone, Chiara Musacchio, Miryam E. Paredes Quintanilla, Eros Pasero, Daniela Tordella:
Validation and traceability of multi-parameter miniaturized radiosondes for environmental observations. - Pavan Vynatheya, Rosemary A. Mardling, Adrian S. Hamers:
Quadruple-star systems are not always nested triples: a machine learning approach to dynamical stability. - Phuong Huynh Van Quoc, Johannes Fürnkranz, Florian Beck:
Efficient learning of large sets of locally optimal classification rules. - George A. Vouros:
Explainable Deep Reinforcement Learning: State of the Art and Challenges. - T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain:
Solving the Discretised Neutron Diffusion Equations using Neural Networks. - Yotam Amitai, Guy Avni, Ofra Amir:
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents. - Max B. Paulus, Andreas Krause:
Learning To Dive In Branch And Bound. - Berk Çirisci, Constantin Enea, Suha Orhun Mutluergil:
Quorum Tree Abstractions of Consensus Protocols. - Koray Kavakli, Liang Shi, Hakan Ürey, Wojciech Matusik, Kaan Aksit:
HoloHDR: Multi-color Holograms Improve Dynamic Range. - Maciej Korczynski, Yevheniya Nosyk:
Source Address Validation. - Lukas Mölschl, Jakob J. Hollenstein, Justus H. Piater:
Differentiable Forward Kinematics for TensorFlow 2. - Hailong Hu, Jun Pang:
Membership Inference of Diffusion Models. - Alessandro Traspadini, Marco Giordani, Giovanni Giambene, Michele Zorzi:
Real-Time HAP-Assisted Vehicular Edge Computing for Rural Areas. - Taiga Utsugiri, Tomonori Kouya:
Acceleration of Multiple Precision Matrix Multiplication using Ozaki scheme. - Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin:
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. - Yawen Cui, Wanxia Deng, Haoyu Chen, Li Liu:
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning. - Géraud Sénizergues:
Word-Mappings of level 3. - Aviv Ovadya, Luke Thorburn:
Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance. - Saeed Damadi, Golnaz Moharrer, Mostafa Cham:
The Backpropagation algorithm for a math student. - Alexander Jenkins, Imad Jaimoukha, Ljubisa Stankovic, Danilo P. Mandic:
Fair and skill-diverse student group formation via constrained k-way graph partitioning. - Clare McGenity, Darren Treanor:
Navigating the reporting guideline environment for computational pathology: A review. - Rahul Goel, Angelo Furno, Rajesh Sharma:
Predicting Socio-Economic Well-being Using Mobile Apps Data: A Case Study of France. - T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain:
Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport. - Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, Smaranda Muresan:
Multitask Instruction-based Prompting for Fallacy Recognition. - Satoshi Kura:
Higher-Order Weakest Precondition Transformers via a CPS Transformation. - Shannon B. Harper, Eric S. Weber:
Fiduciary Responsibility: Facilitating Public Trust in Automated Decision Making. - Jordan Morris, Ashur Rafiev, Graeme M. Bragg, Mark Vousden, David B. Thomas, Alex Yakovlev, Andrew Brown:
An Event-Driven Approach To Genotype Imputation On A Custom RISC-V FPGA Cluster. - Samaa Elnagar, Kweku-Muata Osei-Bryson:
The Competitive Leverage Paradox Effect on Information Systems Life Cycle. - Nigel Rees, Kelly Holding, Mark Sujan:
Information Governance as a Socio-Technical Process in the Development of Trustworthy Healthcare AI. - Xiao He, Mingrui Zhu, Nannan Wang, Xinbo Gao, Heng Yang:
Few-shot Font Generation by Learning Style Difference and Similarity. - Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya:
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. - Mohammad Raziuddin Chowdhury, Md Sakib Ullah Sourav, Rejwan Bin Sulaiman:
The Role of Digital Agriculture in Transforming Rural Areas into Smart Villages. - Gurunath Reddy M, Zhe Zhang, Yi Yu, Florian Harscoët, Simon Canales, Suhua Tang:
Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics. - Steven I. Ross, Michael J. Muller, Fernando Martinez, Stephanie Houde, Justin D. Weisz:
A Case Study in Engineering a Conversational Programming Assistant's Persona. - Haipeng Li, Kunming Luo, Bing Zeng, Shuaicheng Liu:
GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning. - Wei Xiong, Xiaomeng Huang, Ziyang Zhang, Ruixuan Deng, Pei Sun, Yang Tian:
Koopman neural operator as a mesh-free solver of non-linear partial differential equations. - Laure Berti-Équille, Rafael L. G. Raimundo:
Discovering Transition Pathways Towards Coviability with Machine Learning. - Marvin Wyrich, Stefan Wagner:
Teaching Computer Science Students to Communicate Scientific Findings More Effectively. - Shubham Ojha, Aditya Narendra, Siddharth Mohapatra, Ipsit Misra:
From Robots to Books: An Introduction to Smart Applications of AI in Education (AIEd). - Petar Radanliev, David De Roure, Carsten Maple, Uchenna Ani:
Super forecasting the technological singularity risks from artificial intelligence. - Hans L. Bodlaender, Édouard Bonnet, Lars Jaffke, Dusan Knop, Paloma T. Lima, Martin Milanic, Sebastian Ordyniak, Sukanya Pandey, Ondrej Suchý:
Treewidth is NP-Complete on Cubic Graphs (and related results). - Philippe Heim, Rayna Dimitrova:
Taming Large Bounds in Synthesis from Bounded-Liveness Specifications (Full Version). - Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang:
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction. - Oded Nov, Nina Singh, Devin M. Mann:
Putting ChatGPT's Medical Advice to the (Turing) Test. - Thibault Dardinier, Peter Müller:
Hyper Hoare Logic: (Dis-)Proving Program Hyperproperties (extended version). - Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
Progressive Meta-Pooling Learning for Lightweight Image Classification Model. - Daniele Boffi, Fabio Credali, Lucia Gastaldi, Simone Scacchi:
A parallel solver for FSI problems with fictitious domain approach. - José Daniel Lara, Rodrigo Henriquez-Auba, Deepak Ramasubramanian, Sairaj V. Dhople, Duncan S. Callaway, Seth Sanders:
Revisiting Power Systems Time-domain Simulation Methods and Models. - Fan Zhang, Naye Ji, Fuxing Gao, Yongping Li:
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model. - Kaidong Zhang, Jialun Peng, Jingjing Fu, Dong Liu:
Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting. - Dimitri Rothermel, Thomas Schuster:
Development of a photothermal measurement model to determine layer thickness of multi-layered coating systems with unknown thermal properties. - Zanjia Tong, Yuhang Chen, Zewei Xu, Rong Yu:
Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism. - Aditya Sangram Singh Rana:
Event Detection in Football using Graph Convolutional Networks. - Meenatchi Sundaram Muthu Selva Annamalai, Andrea Gadotti, Luc Rocher:
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data. - Yan Long, Pirouz Naghavi, Blas Kojusner, Kevin R. B. Butler, Sara Rampazzi, Kevin Fu:
Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses. - Jonás Serých, Jiri Matas:
Planar Object Tracking via Weighted Optical Flow. - Pawan Goyal, Igor Pontes Duff, Peter Benner:
Inference of Continuous Linear Systems from Data with Guaranteed Stability. - Simon Oddershede Gregersen, Alejandro Aguirre, Philipp G. Haselwarter, Joseph Tassarotti, Lars Birkedal:
Asynchronous Probabilistic Couplings in Higher-Order Separation Logic. - Jorge Calvo-Zaragoza, Jan Hajic Jr., Alexander Pacha:
Proceedings of the 1st International Workshop on Reading Music Systems. - Artem Latyshev, Aleksandr I. Panov:
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review. - Salih Göktug Köse, Fatma Basak Aydemir:
A Framework To Improve User Story Sets Through Collaboration. - Alexandre Forel, Axel Parmentier, Thibaut Vidal:
Explainable Data-Driven Optimization: From Context to Decision and Back Again. - Andrea Piergentili, Dennis Fucci, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri:
From Inclusive Language to Gender-Neutral Machine Translation. - Jiyao Wang, Chunxi Huang, Ran Tu, Dengbo He:
Influential Factors of Users' Trust in the Range Estimation Systems of Battery Electric Vehicles - A Survey Study in China. - Nikola Andrejic, Vitaly Vanchurin:
Autonomous particles. - Andrea Munari, Francisco Lázaro, Giuseppe Durisi, Gianluigi Liva:
The Dynamic Behavior of Frameless ALOHA: Stability, Throughput, and Age of Information. - Diaeddin Alarnaouti, George Baryannis, Mauro Vallati:
Reformulation Techniques for Automated Planning: A Systematic Review. - Corentin Latappy, Quentin Perez, Thomas Degueule, Jean-Rémy Falleri, Christelle Urtado, Sylvain Vauttier, Xavier Blanc, Cédric Teyton:
MLinter: Learning Coding Practices from Examples-Dream or Reality? - Sebastian Schultheiß:
How search engine marketing influences user knowledge gain: Development and empirical testing of an information search behavior model. - Elizabeth Bradley, Chandra Krintz, Melanie Moses:
Building Resilience to Climate Driven Extreme Events with Computing Innovations: A Convergence Accelerator Report. - Samson Abramsky, Yoàv Montacute, Nihil Shah:
Linear Arboreal Categories. - Charles Dansereau, Milo Sobral, Maninder Bhogal, Mehdi Zalai:
Model soups to increase inference without increasing compute time. - Arttu Arjas, Mikko J. Sillanpää, Andreas Hauptmann:
Sequential model correction for nonlinear inverse problems. - John J. Nay:
Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards. - Yingzhe Li, Florian Holderied, Stefan Possanner, Eric Sonnendrücker:
Numerical simulations for a hybrid model of kinetic ions and mass-less fluid electrons in canonical formulations. - Gilles Puy, Alexandre Boulch, Renaud Marlet:
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. - Xin Lyu:
Improved Pseudorandom Generators for AC0 Circuits. - Sebastian Schultheiß, Helena Häußler, Dirk Lewandowski:
Does Search Engine Optimization come along with high-quality content? A comparison between optimized and non-optimized health-related web pages. - Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, Mark O. Riedl:
Story Shaping: Teaching Agents Human-like Behavior with Stories. - Michail Gkagkos, Krishna R. Narayanan, Jean-François Chamberland, Costas N. Georghiades:
PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning. - Jessica Zhao, Sayan Ghosh, Akash Bharadwaj, Chih-Yao Ma:
When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA. - Daniel de Marchi, Matthew Welch, Michael R. Kosorok:
A Robust Hypothesis Test for Tree Ensemble Pruning. - Safa Alver, Doina Precup:
Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning. - Kaiyu Zheng:
Generalized Object Search. - Henry B. Moss, Sebastian W. Ober, Victor Picheny:
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. - Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
Improving Open-Set Semi-Supervised Learning with Self-Supervision. - Davood Wadi, Marc Fredette, Sylvain Senecal:
Read the Signs: Towards Invariance to Gradient Descent's Hyperparameter Initialization. - Baptiste Chopin, Hao Tang, Mohamed Daoudi:
Bipartite Graph Diffusion Model for Human Interaction Generation. - Sergio Caucao, Marco Discacciati:
A mixed FEM for the coupled Brinkman-Forchheimer/Darcy problem. - Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld:
The Semantic Scholar Open Data Platform. - Heping Dong, Peijun Li:
A novel boundary integral formulation for the biharmonic wave scattering problem. - Rida A. Bazzi, Sara Tucci Piergiovanni:
Breaking the f+1 Barrier: Executing Payment Transactions in Parallel with Less than f+1 Validations. - Edward Pearce-Crump:
How Jellyfish Characterise Alternating Group Equivariant Neural Networks. - Debojyoti Chakraborty, Jayeeta Mondal, Hrishav Bakul Barua, Ankur Bhattacharjee:
Computational Solar Energy - Ensemble Learning Methods for Prediction of Solar Power Generation based on Meteorological Parameters in Eastern India. - Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva:
Lexi: Self-Supervised Learning of the UI Language. - Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci:
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. - Archan Ghosh, Debgandhar Ghosh, Madhurima Maji, Suchinta Chanda, Kalporup Goswami:
MTTN: Multi-Pair Text to Text Narratives for Prompt Generation. - Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin, Arash Gharehbaghi:
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search. - Taminul Islam, Arindom Kundu, Tanzim Ahmed, Nazmul Islam Khan:
Analysis of Arrhythmia Classification on ECG Dataset. - Javad Peymanfard, Samin Heydarian, Ali Lashini, Hossein Zeinali, Mohammad Reza Mohammadi, Nasser Mozayani:
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset. - Cyrus Vahidi, Han Han, Changhong Wang, Mathieu Lagrange, György Fazekas, Vincent Lostanlen:
Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis. - Phu Gia Hoang, Canh Duc Luu, Khanh Quoc Tran, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
ViHOS: Hate Speech Spans Detection for Vietnamese. - Sourav Chakraborty, N. V. Vinodchandran, Kuldeep S. Meel:
Distinct Elements in Streams: An Algorithm for the (Text) Book. - Patrick Schäfer, Ulf Leser:
WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification. - Arnd Hartmanns, Sebastian Junges, Tim Quatmann, Maximilian Weininger:
A Practitioner's Guide to MDP Model Checking Algorithms. - Pascal Baumann, Flavio D'Alessandro, Moses Ganardi, Oscar H. Ibarra, Ian McQuillan, Lia Schütze, Georg Zetzsche:
Unboundedness problems for machines with reversal-bounded counters. - Can Rager, Kyle Webster:
Safety of self-assembled neuromorphic hardware. - Junyu Wang, Shijie Wang, Wenyu Liu, Zengqiang Zheng, Xinggang Wang:
A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction. - Lucian Trestioreanu, Wazen M. Shbair, Flaviene Scheidt de Cristo, Radu State:
XRP-NDN Overlay: Improving the Communication Efficiency of Consensus-Validation based Blockchains with an NDN Overlay. - Tor Sporsem, Morten Hatling, Anastasiia Tkalich, Klaas-Jan Stol:
Knowns and Unknowns: An Experience Report on Discovering Tacit Knowledge of Maritime Surveyors. - Krishnamurty Muralidhar, Josep Domingo-Ferrer:
Database Reconstruction Is Not So Easy and Is Different from Reidentification. - Junyao Zhang, Paul Bogdan, Shahin Nazarian:
C-SAR: SAT Attack Resistant Logic Locking for RSFQ Circuits. - Yuntao Wang, Zhou Su, Miao Yan:
Social Metaverse: Challenges and Solutions. - Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet:
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. - Azza Al Aghbari, Zinah Al Maskari:
Case study Vanderbilt University Medical Center Data Chaos. - Robert Klar, Anna Fredriksson, Vangelis Angelakis:
Digital Twins for Ports: Derived from Smart City and Supply Chain Twinning Experience. - Jeffrey Balzer, Julia Caviness, Don Krieger:
The Evolution of Real-time Remote Intraoperative Neurophysiological Monitoring (IONM). - John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein:
A Watermark for Large Language Models. - (Withdrawn) ETHNO-DAANN: Ethnographic Engagement Classification by Deep Adversarial Transfer Learning.
- Sruti Mallik, Ahana Gangopadhyay:
Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A Review. - Waldemar W. Koczkodaj, M. Mazurek, Witold Pedrycz, E. Rogalska, R. Roth, Dominik Strzalka, A. Szymanska, Alicja Wolny-Dominiak, Marc Woodbury-Smith, O. S. Xue, R. Zbyrowski:
Combating harmful Internet use with peer assessment and differential evolution. - Andre Holzapfel:
Introducing Political Ecology of Creative-Ai. - Petar Radanliev, David De Roure:
Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0. - Fangming Liu, Qiangyu Pei, Shutong Chen, Yongjie Yuan, Lin Wang, Max Mühlhäuser:
When the Metaverse Meets Carbon Neutrality: Ongoing Efforts and Directions. - Christine R. Kirkpatrick, Kevin L. Coakley, Julie Christopher, Inês Dutra:
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST). - Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa:
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. - Alexander Gutfraind:
On solving decision and risk management problems subject to uncertainty. - Benjamin J. Holzschuh, Simona Vegetti, Nils Thuerey:
Score Matching via Differentiable Physics. - Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares:
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. - Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. - Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar:
Audience-Centric Natural Language Generation via Style Infusion. - Hongzhao Zheng, Mohamed M. Atia, Halim Yanikomeroglu:
A Positioning System in an Urban Vertical Heterogeneous Network (VHetNet). - Ken Kansky, Skanda Vaidyanath, Scott Swingle, Xinghua Lou, Miguel Lázaro-Gredilla, Dileep George:
PushWorld: A benchmark for manipulation planning with tools and movable obstacles. - Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Qingyu Wang, Bo Xu:
Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network. - Lu Cao:
A Fast Feature Point Matching Algorithm Based on IMU Sensor. - Kaihui Zheng, Yuqing Ren, Zixin Shen, Tianxu Qin:
Object Segmentation with Audio Context. - Sebastian Michelmann, Manoj Kumar, Kenneth A. Norman, Mariya Toneva:
Large language models can segment narrative events similarly to humans. - Jonathan Pilault, Xavier Garcia, Arthur Brazinskas, Orhan Firat:
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction. - Walter Guttmann:
Relation-Algebraic Verification of Disjoint-Set Forests. - Yang Bai, Irtaza Shahid, Harshvardhan C. Takawale, Nirupam Roy:
WhisperWand: Simultaneous Voice and Gesture Tracking Interface. - Daniel Alencar da Costa, Natalie Grattan, Nigel Stanger, Sherlock A. Licorish:
Studying the Characteristics of SQL-related Development Tasks: An Empirical Study. - Aspen K. Hopkins, Fred Hohman, Luca Zappella, Xavier Suau Cuadros, Dominik Moritz:
Designing Data: Proactive Data Collection and Iteration for Machine Learning. - Nuno Fachada, Diogo de Andrade:
Generating Multidimensional Clusters With Support Lines. - Yash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno Castro da Silva, Emma Brunskill, Philip S. Thomas:
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments. - Andrew N. Sloss:
Lost in Algorithms. - Rohan Badlani, Rafael Valle, Kevin J. Shih, João Felipe Santos, Siddharth Gururani, Bryan Catanzaro:
Multilingual Multiaccented Multispeaker TTS with RADTTS. - Prithwish Basu Roy, Mudit Bhargava, Chia-Yun Chang, Ellen Hui, Nikhil Gupta, Ramesh Karri, Hammond Pearce:
A survey of Digital Manufacturing Hardware and Software Trojans. - Tairan He, Weiye Zhao, Changliu Liu:
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. - Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover:
ClimaX: A foundation model for weather and climate. - Shohin Mukherjee, Maxim Likhachev:
GePA*SE: Generalized Edge-Based Parallel A* for Slow Evaluations. - Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb:
Parameterizing the cost function of Dynamic Time Warping with application to time series classification. - John H. Lagergren, Mirko Pavicic, Hari B. Chhetri, Larry M. York, P. Doug Hyatt, David Kainer, Erica M. Rutter, Kevin B. Flores, Gail Taylor, Daniel A. Jacobson, Jared Streich:
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa. - Kenneth L. Clarkson, Shashanka Ubaru, Elizabeth Yang:
Capacity Analysis of Vector Symbolic Architectures. - Roberto Rosmaninho:
Bridging Swift Error Handling Model to C++. - Paul W. Goldberg, Kasper Høgh, Alexandros Hollender:
The Frontier of Intractability for EFX with Two Agents. - Jing Liu, Hemant K. Singh, Saber M. Elsayed, Robert A. Hunjet, Hussein A. Abbass:
Planning-assisted autonomous swarm shepherding with collision avoidance. - Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik:
Towards Robust Metrics for Concept Representation Evaluation. - Jing Qian, Xifeng Yan:
Language Model Detoxification in Dialogue with Contextualized Stance Control. - Hamidreza Behjoo, Michael Chertkov:
Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms. - Adrian Benton, Tianze Shi, Ozan Irsoy, Igor Malioutov:
Weakly Supervised Headline Dependency Parsing. - Frederick Tang, Fareed Sheriff, Andrew Wang:
Online variable-weight scheduling with preempting on jobs with linear and exponential penalties. - Zlatan Ajanovic, Enrico Regolin, Barys N. Shyrokau, Hana Catic, Martin Horn, Antonella Ferrara:
Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles. - Yingchaojie Feng, Xingbo Wang, Bo Pan, Kamkwai Wong, Yi Ren, Shi Liu, Zihan Yan, Yuxin Ma, Huamin Qu, Wei Chen:
XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis. - Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. - Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes:
Counterfactual Editing for Search Result Explanation. - Zhong Yi Wan, Leonardo Zepeda-Núñez, Anudhyan Boral, Fei Sha:
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems. - Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Huff-DP: Huffman Coding based Differential Privacy Mechanism for Real-Time Data. - Asjad Khan, Aditya Ghose, Hoa Khanh Dam, Arsal Syed:
A Survey of Process-Oriented Data Science and Analytics for supporting Business Process Management. - Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. - Alice Patania, Antoine Allard, Jean-Gabriel Young:
Exact and rapid linear clustering of networks with dynamic programming. - Khlood Ahmad, Mohamed Almorsy Abdelrazek, Chetan Arora, Muneera Bano, John C. Grundy:
Requirements Practices and Gaps When Engineering Human-Centered Artificial Intelligence Systems. - Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Zelin Dai, Feiyu Xiong, Wei Guo, Huajun Chen:
Editing Language Model-based Knowledge Graph Embeddings. - Lauren Alvarez, Tim Menzies:
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH. - Akanksha Dixit, Smruti R. Sarangi:
Minimizing the Motion-to-Photon-delay (MPD) in Virtual Reality Systems. - Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen:
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. - Jiali Wei, Ming Fan, Wenjing Jiao, Wuxia Jin, Ting Liu:
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing. - Yerim Jung, Nur Suriza Syazwany, Sang-Chul Lee:
Local Feature Extraction from Salient Regions by Feature Map Transformation. - Luis A. Lastras, Barry M. Trager, Jonathan Lenchner, Wojtek Szpankowski, Chai Wah Wu, Mark S. Squillante, Alex Gray:
Towards a Unification of Logic and Information Theory. - Yongqiang Ma, Jiawei Liu, Fan Yi:
Is This Abstract Generated by AI? A Research for the Gap between AI-generated Scientific Text and Human-written Scientific Text. - Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu:
DEJA VU: Continual Model Generalization For Unseen Domains. - Vida Ranjbar, Adam Girycki, Md. Arifur Rahman, Sofie Pollin, Marc Moonen, Evgenii Vinogradov:
Cell-free mMIMO Support in the O-RAN Architecture: A PHY Layer Perspective for 5G and Beyond Networks. - Kerui Gu, Linlin Yang, Michael Bi Mi, Angela Yao:
Bias-Compensated Integral Regression for Human Pose Estimation. - Kritsada Mamat, Wiroonsak Santipach:
Optimal Transmit Power and Channel-Information Bit Allocation With Zeroforcing Beamforming in MIMO-NOMA and MIMO-OMA Downlinks. - Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu:
ViDeBERTa: A powerful pre-trained language model for Vietnamese. - Sho Nakazono, Hiroyuki Uchiyama, Yasuhiro Fujiwara, Hideyuki Kawashima:
Scheduling Space Expander: An Extension of Concurrency Control for Data Ingestion Queries. - Tongzhi Niu, Bin Li, Kai Li, Yufeng Lin, Yuwei Li, Weifeng Li, Zhenrong Wang:
Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection. - Hanyang Liu, Shuai Yang, Feng Qi, Shuaiwen Wang:
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation. - Carlos Lassance, Hervé Déjean, Stéphane Clinchant:
An Experimental Study on Pretraining Transformers from Scratch for IR. - Hossein Rezaei, Nandana Rajatheva, Matti Latva-aho:
High-Throughput Rate-Flexible Combinational Decoders for Multi-Kernel Polar Codes. - Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen:
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. - Alain Hennebelle, Huned Materwala, Leila Ismail:
HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System. - Shaoxiong Ji, Ya Gao, Pekka Marttinen:
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection. - Ramin Safa, S. A. Edalatpanah, Ali Sorourkhah:
Predicting mental health using social media: A roadmap for future development. - Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection. - Luis Villamil, Ryan Bausback, Shaeke Salman, Ting L. Liu, Conrad Horn, Xiuwen Liu:
Improved Stock Price Movement Classification Using News Articles Based on Embeddings and Label Smoothing. - Fenggen Yu, Yiming Qian, Francisca Gil-Ureta, Brian Jackson, Eric Bennett, Hao Zhang:
HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling. - Mikaël Barboteu, Francesco Bonaldi, David Danan, Soad El Hadri:
An Improved Normal Compliance Method for Dynamic Hyperelastic Problems with Energy Conservation Property. - Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. - Pasquale Lafiosca:
Aircraft Skin Inspections: Towards a New Model for Dent Evaluation. - Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller:
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare. - Niels van der Heijden, Ekaterina Shutova, Helen Yannakoudakis:
FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs. - Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown:
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. - Harald Monsuur, Rob P. Stevenson, Johannes Storn:
Minimal residual methods in negative or fractional Sobolev norms. - Mrudula Balachander, Emmanuel Filiot, Jean-François Raskin:
LTL Reactive Synthesis with a Few Hints. - Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg:
Flow-guided Semi-supervised Video Object Segmentation. - Weronika Lajewska, Krisztian Balog:
From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track. - Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur:
E(n)-equivariant Graph Neural Cellular Automata. - Xiao Li, Zhihui Zhu, Qiuwei Li, Kai Liu:
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. - Jiatai Huang, Yan Dai, Longbo Huang:
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning. - Daniel Reti, Karina Elzer, Hans Dieter Schotten:
SCANTRAP: Protecting Content Management Systems from Vulnerability Scanners with Cyber Deception and Obfuscation. - Pascal Kunz, Hendrik Molter, Meirav Zehavi:
In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks? - Claes Strannegård, Niklas Engsner, Rasmus Lindgren, Simon Olsson, John A. Endler:
Exploring local effects of economic activities using agent-based ecosystem models. - Anamaria Mojica-Hanke, Andrea Bayona, Mario Linares-Vásquez, Steffen Herbold, Fabio A. González:
What are the Machine Learning best practices reported by practitioners on Stack Exchange? - Asha Vishwanathan, Rajeev Unnikrishnan Warrier, Gautham Vadakkekara Suresh, Chandra Shekhar Kandpal:
Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval. - Dino Mandrioli, Davide Martinenghi, Angelo Morzenti, Matteo Pradella, Matteo Rossi:
Lecture Notes on Monadic First- and Second-Order Logic on Strings. - Fernando Ferraretto, Thiago Laitz, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
ExaRanker: Explanation-Augmented Neural Ranker. - Siqi Zhang, Na Yi, Yi Ma:
Robot Subset Selection for Swarm Lifetime Maximization in Computation Offloading with Correlated Data Sources. - Ilias Zosimadis, Ioannis Stamelos:
A Novel IoT-Based System for Ten Pin Bowling. - Guangji Chen, Qingqing Wu:
Fundamental Limits of Intelligent Reflecting Surface Aided Multiuser Broadcast Channel. - Anar Yeginbergenova, Rodrigo Agerri:
Cross-lingual Argument Mining in the Medical Domain. - Armin Avaei, Linda F. van der Spaa, Luka Peternel, Jens Kober:
An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Human Preferences. - Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas:
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation. - Jiayuan Chen, Xiang Zhang, Yinfei Xu, Tianli Zhao, Renjie Xie, Wei Xu:
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective. - Yanggu Zheng, Barys N. Shyrokau, Tamás Keviczky:
Comfort-oriented driving: performance comparison between human drivers and motion planners. - David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke:
Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN. - Tahar Zamène Boulmezaoud, Keltoum Kaliche:
Stray field computation by inverted finite elements: a new method in micromagnetic simulations. - Yiu Wai Chow, Max Schäfer, Michael Pradel:
Beware of the Unexpected: Bimodal Taint Analysis. - Raphael Schumann, Elman Mansimov, Yi-An Lai, Nikolaos Pappas, Xibin Gao, Yi Zhang:
Backward Compatibility During Data Updates by Weight Interpolation. - Mingle Xu, Jaehwan Lee, Sook Yoon, Hyongsuk Kim, Dong Sun Park:
Variation-Aware Semantic Image Synthesis. - Cornelis A. Middelburg:
A Conventional Expansion of First-Order Belnap-Dunn Logic. - Priyanka Golia, Subhajit Roy, Kuldeep S. Meel:
Synthesis with Explicit Dependencies. - Shibdas Roy:
PSPACE ⊆ BQP. - Chamath Abeysinghe, Chris Reid, Hamid Rezatofighi, Bernd Meyer:
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking. - Marvin Muñoz Barón, Marvin Wyrich, Daniel Graziotin, Stefan Wagner:
Evidence Profiles for Validity Threats in Program Comprehension Experiments. - Frank Kammer, Johannes Meintrup:
Succinct Planar Encoding with Minor Operations. - Zahraa Al Sahili, Mariette Awad:
Spatio-Temporal Graph Neural Networks: A Survey. - Hannah Nöttgen, Fabian Czappa, Felix Wolf:
Accelerating Brain Simulations with the Fast Multipole Method. - Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Leveraging Planning Landmarks for Hybrid Online Goal Recognition. - Xunhan Hu, Jian Zhao, Wengang Zhou, Houqiang Li:
Discriminative Experience Replay for Efficient Multi-agent Reinforcement Learning. - Arash Chaichi Mellatshahi, Shohreh Kasaei:
Trainable Loss Weights in Super-Resolution. - Simon Lupart, Stéphane Clinchant:
A Study on FGSM Adversarial Training for Neural Retrieval. - Debayan Banerjee, Seid Muhie Yimam, Sushil Awale, Chris Biemann:
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System. - Farshad G. Veshki, Sergiy A. Vorobyov:
An Efficient Approximate Method for Online Convolutional Dictionary Learning. - Yonggang Li, Hao Zhang:
A Method For Eliminating Contour Errors In Self-Encoder Reconstructed Images. - Evgeny Kostyuchenko:
Evaluation of the syllables pronunciation quality in speech rehabilitation through the solution of the classification problem. - Philippe Gonzalez, Tommy Sonne Alstrøm, Tobias May:
On Batching Variable Size Inputs for Training End-to-End Speech Enhancement Systems. - Thomas Führer, Pablo Herrera, Norbert Heuer:
A DPG method for the quad-curl problem. - Denis Coquenet, Clément Chatelain, Thierry Paquet:
Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition. - Vincent Wang-Mascianica, Jonathon Liu, Bob Coecke:
Distilling Text into Circuits. - Romain Fouquet, Pierre Laperdrix, Romain Rouvoy:
Breaking Bad: Quantifying the Addiction of Web Elements to JavaScript. - Zehua Ma, Hang Zhou, Weiming Zhang:
AnisoTag: 3D Printed Tag on 2D Surface via Reflection Anisotropy. - I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung:
DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning. - Veronika Solopova, Oana-Iuliana Popescu, Christoph Benzmüller, Tim Landgraf:
Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram posts. - Wen-Chin Huang, Benjamin Peloquin, Justine Kao, Changhan Wang, Hongyu Gong, Elizabeth Salesky, Yossi Adi, Ann Lee, Peng-Jen Chen:
A Holistic Cascade System, benchmark, and Human Evaluation Protocol for Expressive Speech-to-Speech Translation. - Tiago Oliveira, Tiago Marques, Arlindo L. Oliveira:
Connecting metrics for shape-texture knowledge in computer vision. - Inder Pal Singh, Enjie Ghorbel, Anis Kacem, Arunkumar Rathinam, Djamila Aouada:
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification. - Akhmad Dimitri Baihaqi, Novanto Yudistira, Edy Santoso:
Prediction of COVID-19 by Its Variants using Multivariate Data-driven Deep Learning Models. - Xiaoyue Chen, Pavlos Aimoniotis, Stefanos Kaxiras:
Clueless: A Tool Characterising Values Leaking as Addresses. - Omar Hashash, Walid Saad, Mohammadreza F. Imani, David R. Smith:
Simultaneous Transmitting and Reflecting (STAR)-RIS for Harmonious Millimeter Wave Spectrum Sharing. - Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty:
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. - Mengmeng Ren, Long Yang, Hai Jiang, Jian Chen, Yuchen Zhou:
Energy-Delay Tradeoff in Helper-Assisted NOMA-MEC Systems: A Four-Sided Matching Algorithm. - Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger:
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification. - Martin Higgins, Bruce Stephen, David Wallom:
Incentive-weighted Anomaly Detection for False Data Injection Attacks Against Smart Meter Load Profiles. - Daniel Reti, Karina Elzer, Daniel Fraunholz, Daniel Schneider, Hans Dieter Schotten:
Evaluating Deception and Moving Target Defense with Network Attack Simulation. - Pratik Ghosal, Vishwa Prakash HV, Prajakta Nimbhorkar, Nithin Varma:
EFX Exists for Four Agents with Three Types of Valuations. - Clément Vella, Serge Prudhomme:
PGD reduced-order modeling for structural dynamics applications. - Eloise de Carvalho Rodrigues, Alvaro Valcarce Rial, Giovanni Geraci:
Towards Mobility Management with Multi-Objective Bayesian Optimization. - Johanni Brea, Flavio Martinelli, Berfin Simsek, Wulfram Gerstner:
MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately). - Lun Ji, Alexander Ostermann, Frédéric Rousset, Katharina Schratz:
Low regularity error estimates for the time integration of 2D NLS. - Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt, Wentao Weng:
Group fairness in dynamic refugee assignment. - Effrosyni Papanastasiou, Anastasios Giovanidis:
Constrained Expectation-Maximisation for inference of social graphs explaining online user-user interactions. - Tamir Bendory, Dan Edidin, Ivan Gonzalez:
Finite alphabet phase retrieval. - Lexington Whalen, Brie Turner-McGrievy, Matthew McGrievy, Andrew Hester, Homayoun Valafar:
On Creating a Comprehensive Food Database. - Javad Azizi, Ofer Meshi, Masrour Zoghi, Maryam Karimzadehgan:
Overcoming Prior Misspecification in Online Learning to Rank. - Zhihao Zuo, Zhongxue Gan, Yuchuan Fan, Vjaceslavs Bobrovs, Xiaodan Pang, Oskars Ozolins:
Self-Evolutionary Reservoir Computer Based on Kuramoto Model. - Filip Klubicka, John D. Kelleher:
Probing Taxonomic and Thematic Embeddings for Taxonomic Information. - Thomas Izgin, Stefan Kopecz, Angela Martiradonna, Andreas Meister:
Lyapunov Stability of First and Second Order GeCo and gBBKS Schemes. - Menna Nawar, Moustafa Shomer, Samy Faddel, Huangjie Gong:
Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data. - Yunqi Li, Dingxian Wang, Hanxiong Chen, Yongfeng Zhang:
Transferable Fairness for Cold-Start Recommendation. - Yunpeng Bai, Zihan Zhong, Chao Dong, Weichen Zhang, Guowei Xu, Chun Yuan:
Towards Arbitrary Text-driven Image Manipulation via Space Alignment. - Pascal Meißner, Rüdiger Dillmann:
Implicit Shape Model Trees: Recognition of 3-D Indoor Scenes and Prediction of Object Poses for Mobile Robots. - Allan Vikiru, Mfadhili Muiruri, Ismail Ateya:
An Overview on Cloud Distributed Databases for Business Environments. - Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin:
Imitating Human Behaviour with Diffusion Models. - Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao:
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. - Gavin Abercrombie, Verena Rieser, Dirk Hovy:
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement. - Xinyang Li, Vlad-Costin Andrei, Ullrich J. Mönich, Holger Boche:
Optimal and Robust Waveform Design for MIMO-OFDM Channel Sensing: A Cramér-Rao Bound Perspective. - Maurice Margenstern:
A weakly universal weighted cellular automaton in the heptagrid with 7 states. - Hian Lee Kwa, Julien Philippot, Roland Bouffanais:
Effect of Swarm Density on Collective Tracking Performance. - Junyao Zhang, Paul Bogdan, Shahin Nazarian:
A Majority Logic Synthesis Framework For Single Flux Quantum Circuits. - Tom de Jong, Nicolai Kraus, Fredrik Nordvall Forsberg, Chuangjie Xu:
Set-Theoretic and Type-Theoretic Ordinals Coincide. - Benjamin Bordais, Patricia Bouyer, Stéphane Le Roux:
Sub-game optimal strategies in concurrent games with prefix-independent objectives. - Kacper Wardega, Max von Hippel, Roberto Tron, Cristina Nita-Rotaru, Wenchao Li:
HoLA Robots: Mitigating Plan-Deviation Attacks in Multi-Robot Systems with Co-Observations and Horizon-Limiting Announcements. - Ziang Xiao, Q. Vera Liao, Michelle X. Zhou, Tyrone Grandison, Yunyao Li:
Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access. - Vahidullah Tac, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl, Adrian Buganza Tepole:
Benchmarks for physics-informed data-driven hyperelasticity. - Sagar Joshi, Sumanth Balaji, Jerrin Thomas, Aparna Garimella, Vasudeva Varma:
Investigating Strategies for Clause Recommendation. - Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan:
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation. - Thien-Nam Dinh, Nicholas D. Pattengale, Steven Elliott:
The Synchronic Web. - Michele Pasin, Richard Abdill:
Generating large-scale network analyses of scientific landscapes in seconds using Dimensions on Google BigQuery. - Sebastian Peitz, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, Kunihiko Taira:
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning. - David Chiang, Peter Cholak, Anand Pillay:
Tighter Bounds on the Expressivity of Transformer Encoders. - Breno Aguiar Krohling, Renato A. Krohling:
1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19. - (Withdrawn) Out of Distribution Performance of State of Art Vision Model.
- Stavros Tsogkas, Fengjia Zhang, Allan D. Jepson, Alex Levinshtein:
Efficient Flow-Guided Multi-frame De-fencing. - Tanvi Dinkar, Chloé Clavel, Ioana Vasilescu:
Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives. - Shaunagh Downing, Silvia Gazzola, Ivan G. Graham, Euan A. Spence:
Optimisation of seismic imaging via bilevel learning. - Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie:
On the Adversarial Robustness of Camera-based 3D Object Detection. - Vinh The Nguyen, Chuyen T. H. Nguyen:
Factors Influencing Intention to use the COVID-19 Contact Tracing Application. - Jill P. Naiman:
Generalizability in Document Layout Analysis for Scientific Article Figure & Caption Extraction. - Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha:
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. - Fiske Schijlen, Lichao Wu, Luca Mariot:
NASCTY: Neuroevolution to Attack Side-channel Leakages Yielding Convolutional Neural Networks. - Alexander Knapp, Heribert Mühlberger, Bernhard Reus:
Interpreting Knowledge-based Programs (Extended Version with Proofs). - Sanjukta Krishnagopal, Luana Ruiz:
Graph Neural Tangent Kernel: Convergence on Large Graphs. - Caio Corro:
On the inconsistency of separable losses for structured prediction. - Dexter Kozen, Alexandra Silva:
Multisets and Distributions. - Yijun Bian, Kun Zhang:
Increasing Fairness in Compromise on Accuracy via Weighted Vote with Learning Guarantees. - Cyrus Cousins, Justin Payan, Yair Zick:
Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities. - Ayesha Siddique, Ripan Kumar Kundu, Gautam Raj Mode, Khaza Anuarul Hoque:
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks. - Peter R. Lewis, Stefan Sarkadi:
Reflective Artificial Intelligence. - Matthew Alan Le Brun, Ornela Dardha:
MAGπ: Types for Failure-Prone Communication. - Artur Jordão, George Corrêa de Araújo, Helena de Almeida Maia, Hélio Pedrini:
When Layers Play the Lottery, all Tickets Win at Initialization. - Arnur Nigmetov, Dmitriy Morozov:
Fast Merge Tree Computation via SYCL. - Palina Niamkova, Rafael Moreira:
Improved Bitcoin Price Prediction based on COVID-19 data. - Yisu Remy Wang, Max Willsey, Dan Suciu:
Free Join: Unifying Worst-Case Optimal and Traditional Joins. - Deokgun Park, Sung-Hee Kim, Niklas Elmqvist:
Gatherplot: A Non-Overlapping Scatterplot. - James Watson, Nikolaus Correll:
Optimal decision making in robotic assembly and other trial-and-error tasks. - Reza Azad, Yiwei Jia, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof:
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach. - Francisco Muñoz-Martínez, Raveesh Garg, José L. Abellán, Michael Pellauer, Manuel E. Acacio, Tushar Krishna:
Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. - Hans W. A. Hanley, Zakir Durumeric:
Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegram. - Nathaniel Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia:
Improving Graph Generation by Restricting Graph Bandwidth. - Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke, Eric Hu, Huan Wang, Stephen C. H. Hoi, Caiming Xiong, Kun Zhang, Juan Carlos Niebles:
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. - Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura:
Learning Gradients of Convex Functions with Monotone Gradient Networks. - Tomoki Oya, Megumi Nakao, Tetsuya Matsuda:
Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning. - Liam Hebert, Hong Yi Chen, Robin Cohen, Lukasz Golab:
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content. - Abu Reyan Ahmed, Patrizio Angelini, Michael A. Bekos, Giuseppe Di Battista, Michael Kaufmann, Philipp Kindermann, Stephen G. Kobourov, Martin Nöllenburg, Antonios Symvonis, Anaïs Villedieu, Markus Wallinger:
Splitting Vertices in 2-Layer Graph Drawings. - Tianyi Wang, Rodney Beard, John Hawkins, Rohitash Chandra:
Recursive deep learning framework for forecasting the decadal world economic outlook. - Paolo Dini, Manuel Bravo, Philipp Paulweber, Alexander Raschke, Gabriela Moreira:
Tutorial on the Executable ASM Specification of the AB Protocol and Comparison with TLA+. - Saharsh Barve, Jody M. Webster, Rohitash Chandra:
Reef-insight: A framework for reef habitat mapping with clustering methods via remote sensing. - Christopher Z. Eddy, Austin Naylor, Bo Sun:
The Projection-Enhancement Network (PEN). - Jason Lim, Calvin Joyce, Elizabeth Peiros, Mingwei Yeoh, Peter V. Gavrilov, Sara G. Wickenhiser, Dimitri A. Schreiber, Florian Richter, Michael C. Yip:
Mobility Analysis of Screw-Based Locomotion and Propulsion in Various Media. - Alind Khare, Animesh Agrawal, Myungjin Lee, Alexey Tumanov:
SuperFed: Weight Shared Federated Learning. - Hans W. A. Hanley, Deepak Kumar, Zakir Durumeric:
A Golden Age: Conspiracy Theories' Relationship with Misinformation Outlets, News Media, and the Wider Internet. - Michael A. Lepori, Thomas Serre, Ellie Pavlick:
Break It Down: Evidence for Structural Compositionality in Neural Networks. - Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng:
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning. - Jinghui Liu, Daniel Capurro, Anthony N. Nguyen, Karin Verspoor:
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text. - Chenyu Li, Xia Jiang:
Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL). - Shaobo Qiu, Ji Li, Guoxi Chen, Hong Wang, Boqi Li:
Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencing. - Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele:
Predicting Parameters for Modeling Traffic Participants. - Daniel Chee Hian Tan, Jenny Zhang, Meng Yee Michael Chuah, Zhibin Li:
Perceptive Locomotion with Controllable Pace and Natural Gait Transitions Over Uneven Terrains. - Ismael Castell-Uroz, Kensuke Fukuda, Pere Barlet-Ros:
ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss. - Li Zhang, Hainiu Xu, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris Callison-Burch:
Causal Reasoning of Entities and Events in Procedural Texts. - Xiaohu Huang, Hao Zhou, Bin Feng, Xinggang Wang, Wenyu Liu, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang:
Graph Contrastive Learning for Skeleton-based Action Recognition. - Tao Jiang, Samuel Tan, Stephen A. Vavasis:
Re-embedding data to strengthen recovery guarantees of clustering. - Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong:
Efficient Hyperdimensional Computing. - Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh:
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. - Arpita Vats, Aman Chadha:
Facial Emotion Recognition. - Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. - Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. - Kazumi Kasaura, Ryo Yonetani, Mai Nishimura:
Periodic Multi-Agent Path Planning. - Ítalo Santos, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Anita Sarma, Marco Aurélio Gerosa:
Designing for Cognitive Diversity: Improving the GitHub Experience for Newcomers. - Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, Nanyun Peng:
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning. - Yunpeng Bai, Jiayue Liu, Chao Dong, Chun Yuan:
ITstyler: Image-optimized Text-based Style Transfer. - Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas:
Joint action loss for proximal policy optimization. - Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas:
Partial advantage estimator for proximal policy optimization. - Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. - Chao Pang, Jiang Wu, Jian Ding, Can Song, Gui-Song Xia:
Detecting Building Changes with Off-Nadir Aerial Images. - Dohyeong Kim, Kyungjae Lee, Songhwai Oh:
Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic. - Han Zhang, Ziwei Zhu, James Caverlee:
Evolution of Filter Bubbles and Polarization in News Recommendation. - Asjad Khan, Arsal Huda, Aditya Ghose, Hoa Khanh Dam:
Towards Knowledge-Centric Process Mining. - Yaohui Guo, X. Jessie Yang, Cong Shi:
TIP: A Trust Inference and Propagation Model in Multi-Human Multi-Robot Teams. - Linfeng Xu, Qingbo Wu, Lili Pan, Fanman Meng, Hongliang Li, Chiyuan He, Hanxin Wang, Shaoxu Cheng, Yu Dai:
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning. - Xian Yu, Lei Ying:
On the Global Convergence of Risk-Averse Policy Gradient Methods with Dynamic Time-Consistent Risk Measures. - Gyanendra Sharma, Hiroshi Yasuda, Manuel Kühner:
Continuous Visual Feedback of Risk for Haptic Lateral Assistance. - William Simmons, André Platzer:
Differential Elimination and Algebraic Invariants of Polynomial Dynamical Systems. - Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou:
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation. - Zikai Song, Run Luo, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang:
Compact Transformer Tracker with Correlative Masked Modeling. - Scott Geng, Revant Teotia, Purva Tendulkar, Sachit Menon, Carl Vondrick:
Affective Faces for Goal-Driven Dyadic Communication. - Minseop Kwak, Jiuhn Song, Seungryong Kim:
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency. - Jaemin Hong, Sukyoung Ryu:
Concrat: An Automatic C-to-Rust Lock API Translator for Concurrent Programs. - Nina Rajcic, Jon McCormack:
Message Ritual: A Posthuman Account of Living with Lamp. - Yuichi Asahiro, Masafumi Yamashita:
Compatibility of convergence algorithms for autonomous mobile robots. - Ish Kumar Jain, Rohith Reddy Vennam, Raghav Subbaraman, Dinesh Bharadia:
mmFlexible: Flexible Directional Frequency Multiplexing for Multi-user mmWave Networks. - Nathan Hadjiyski, M. Ali Vosoughi, Axel Wismüller:
Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images. - Ryoma Sato:
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure. - Atul Dhingra, Adeboye A. Adejare Jr., Adam Fendler, Roopeswar Kommalapati:
Neurorehab: An Interface for Rehabilitation. - Ibrahima N'Doye, Taous-Meriem Laleg-Kirati:
Mean-Field Stochastic Differential Game for Fine Alignment Control of Cooperative Optical Beam Systems. - Alireza Hashemi, Hernán A. Makse:
Visiting Distant Neighbors in Graph Convolutional Networks. - Dongyao Bi, Lijun Zhang, Kuize Zhang:
Structural Properties of Invariant Dual Subspaces of Boolean Networks. - Wiroonsak Santipach:
Joint Optimization of IRS Beamforming and Transmit Power for MIMO-NOMA Downlink With Statistical Channel Information. - Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. - Xuan Quang Ngo, Thai Nguyen Chau, Cong Thang Doan, Van Tu Duong, Duy Võ Hoàng, Tan Tien Nguyen:
Design of Mobile Manipulator for Fire Extinguisher Testing. Part I Key Specifications and Conceptual Design. - Thai Nguyen Chau, Xuan Quang Ngo, Van Tu Duong, Trong Trung Nguyen, Huy Hung Nguyen, Tan Tien Nguyen:
Design of Mobile Manipulator for Fire Extinguisher Testing. Part II: Design and Simulation. - Michael Ruderman:
Time-delay based output feedback control of fourth-order oscillatory systems. - Ting Chen:
On the Importance of Noise Scheduling for Diffusion Models. - Yong Xiao, Xiaohan Zhang, Guangming Shi, Marwan Krunz, Diep N. Nguyen, Dinh Thai Hoang:
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence. - Frank Nielsen:
Beyond scalar quasi-arithmetic means: Quasi-arithmetic averages and quasi-arithmetic mixtures in information geometry. - Brahim Benaissa, Masakazu Kobayashi, Keita Kinoshita:
Design aesthetics recommender system based on customer profile and wanted affect. - Anupam Nayak, Anders E. Kalør, Federico Chiariotti, Petar Popovski:
A Decentralized Policy for Minimization of Age of Incorrect Information in Slotted ALOHA Systems. - Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda:
Neural Dynamic Focused Topic Model. - Prashant Trivedi, Nandyala Hemachandra:
Multi-Agent congestion cost minimization with linear function approximation. - Adrien Laurent, Robert I. McLachlan, Hans Z. Munthe-Kaas, Olivier Verdier:
The aromatic bicomplex for the description of divergence-free aromatic forms and volume-preserving integrators. - Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough:
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. - (Withdrawn) NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Media.
- Théophane Nicolas, Ronan Gaugne, Bruno Arnaldi, Valérie Gouranton:
From medical imaging to virtual reality for archaeology. - Matthias Albrecht, Lorenz Assländer, Harald Reiterer, Stephan Streuber:
MoPeDT: A Modular Head-Mounted Display Toolkit to Conduct Peripheral Vision Research. - Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro:
Graph-based Recommendation for Sparse and Heterogeneous User Interactions. - Manishika Rawat, Marco Giordani, Brejesh Lall, Abdelaali Chaoub, Michele Zorzi:
On the Optimal Beamwidth of UAV-Assisted Networks Operating at Millimeter Waves. - Chengpeng Wang, Gang Fan, Peisen Yao, Fuxiong Pan, Charles Zhang:
Verifying Data Constraint Equivalence in FinTech Systems. - Yan Lin, Jinming Bao, Yijin Zhang, Jun Li, Feng Shu, Lajos Hanzo:
Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning. - Shaobo Lin, Xingyu Zeng, Rui Zhao:
Explore the Power of Dropout on Few-shot Learning. - Shuo Zhang:
Semantic Segmentation Enhanced Transformer Model for Human Attention Prediction. - Anatole Moureaux, Simon De Wergifosse, Chloé Chopin, Jimmy Weber, Flavio Abreu Araujo:
Neuromorphic spintronics accelerated by an unconventional data-driven Thiele equation approach. - Marcel Gohsen, Matthias Hagen, Martin Potthast, Benno Stein:
Paraphrase Acquisition from Image Captions. - Nitsan Davidor, Yair Binyamin, Tamar Hayuni, Ilana Nisky:
Design and Validation of a Bimanual Haptic Epidural Needle Insertion Simulator. - Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe:
WL meet VC. - Arnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou, Fehmi Cirak, Mark Girolami, Ömer Deniz Akyildiz:
Random Grid Neural Processes for Parametric Partial Differential Equations. - Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng:
Incomplete Multi-view Clustering via Prototype-based Imputation. - Roberto Verdecchia, June Sallou, Luis Cruz:
A Systematic Review of Green AI. - Manos Chatzakis, Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, Botao Peng:
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search. - Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Lorenzo De Carli, Luigi V. Mancini:
Minerva: A File-Based Ransomware Detector. - Athul Shibu, Abhishek Kumar, Heechul Jung, Dong-Gyu Lee:
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning. - Hyeongji Kim, Pekka Parviainen, Terje Berge, Ketil Malde:
Inspecting class hierarchies in classification-based metric learning models. - Ruizhe Wang, Hong Ren, Cunhua Pan, Jun Fang, Mianxiong Dong, Octavia A. Dobre:
Channel Estimation for RIS-aided mmWave Massive MIMO System Using Few-bit ADCs. - Shah Khalid, Shah Khusro, Aftab Alam, Abdul Wahid:
BERT-Embedding and Citation Network Analysis based Query Expansion Technique for Scholarly Search. - Justin Goldston, Tomer Jordi Chaffer, Justyna Osowska, Charles von Goins II:
Digital Inheritance in Web3: A Case Study of Soulbound Tokens and the Social Recovery Pallet within the Polkadot and Kusama Ecosystems. - Behzad Bamdad Mehrabani, Jakob Erdmann, Luca Sgambi, Seyedehsan Seyedabrishami, Maaike Snelder:
A Multiclass Simulation-Based Dynamic Traffic Assignment Model for Mixed Traffic Flow of Connected and Autonomous Vehicles and Human-Driven Vehicles. - Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson:
Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects. - Christophe Maudoux, Selma Boumerdassi:
LemonLDAP: : NG - A Full AAA Free Open Source WebSSO Solution. - Emiel Hoogeboom, Jonathan Heek, Tim Salimans:
simple diffusion: End-to-end diffusion for high resolution images. - Leonard Göke, Jens Weibezahn, Mario Kendziorski:
How flexible electrification can integrate fluctuating renewables. - Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan:
Federated Learning over Coupled Graphs. - Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, Candace Ross:
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities. - Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin:
Explaining Visual Biases as Words by Generating Captions. - David McAllester:
On the Mathematics of Diffusion Models. - Howon Lee, Byungju Lee, Heecheol Yang, Junghyun Kim, Seungnyun Kim, Wonjae Shin, Byonghyo Shim, H. Vincent Poor:
Towards 6G Hyper-Connectivity: Vision, Challenges, and Key Enabling Technologies. - Nardine Osman, Bruno Rosell, Carles Sierra, Marco Schorlemmer, Jordi Sabater-Mir, Lissette Lemus:
uHelp: intelligent volunteer search for mutual help communities. - Donato Maragno, Jannis Kurtz, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil, Dick den Hertog:
Finding Regions of Counterfactual Explanations via Robust Optimization. - Levent Aksoy, Quang-Linh Nguyen, Felipe Almeida, Jaan Raik, Marie-Lise Flottes, Sophie Dupuis, Samuel Pagliarini:
Hybrid Protection of Digital FIR Filters. - Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li:
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring. - Kanghee Park, Loris D'Antoni, Thomas W. Reps:
Synthesizing Specifications. - Mathias Jackermeier, Jiaoyan Chen, Ian Horrocks:
Box2EL: Concept and Role Box Embeddings for the Description Logic EL++. - Lihua Gong, Zhenyong Chen, Liguo Qin, Jiehui Huang:
Robust multi-party semi-quantum private comparison protocols with decoherence-free states against collective noises. - Ondrej Maxian, Brennan Sprinkle, Aleksandar Donev:
Bending fluctuations in semiflexible, inextensible, slender filaments in Stokes flow: towards a spectral discretization. - Jingqiu Ding, Yiding Hua:
SQ Lower Bounds for Random Sparse Planted Vector Problem. - Corentin Duchêne, Henri Jamet, Pierre Guillaume, Réda Dehak:
A benchmark for toxic comment classification on Civil Comments dataset. - Charles Wiame, Claude Oestges, Luc Vandendorpe:
Joint data rate and EMF exposure analysis in user-centric cell-free massive MIMO networks. - Samuel Rac, Rajarshi Sanyal, Mats Brorsson:
A Cloud-Edge Continuum Experimental Methodology Applied to a 5G Core Study. - Sean McGuire, Erin Schultz, Bimpe Ayoola, Paul Ralph:
Sustainability is Stratified: Toward a Better Theory of Sustainable Software Engineering. - Shivangi Mittal, Yogesh M. Joshi, Sachin Shanbhag:
The Method of Harmonic Balance for the Giesekus Model under Oscillatory Shear. - Pierre Béaur, Jarkko Kari:
Effective Projections on Group Shifts to Decide Properties of Group Cellular Automata. - Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer:
FedHQL: Federated Heterogeneous Q-Learning. - Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. - Ángel Madridano Carrasco, Delgermaa Gankhuyag, Miguel Ángel de Miguel Paraiso, Martin Palos Lorite, Cristina Olaverri-Monreal, Fernando García Fernandez:
Evaluating the acceptance of autonomous vehicles in the future. - Elena Camuffo, Umberto Michieli, Simone Milani:
Learning from Mistakes: Self-Regularizing Hierarchical Semantic Representations in Point Cloud Segmentation. - Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom:
Train Hard, Fight Easy: Robust Meta Reinforcement Learning. - Yurid Nugraha, Ahmet Cetinkaya, Tomohisa Hayakawa, Hideaki Ishii, Quanyan Zhu:
Cluster Forming of Multiagent Systems in Rolling Horizon Games with Non-uniform Horizons. - Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley:
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. - Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok:
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images. - Jonathan Wittmer, C. G. Krishnanunni, Hai Van Nguyen, Tan Bui-Thanh:
On Unifying Randomized Methods For Inverse Problems. - Maria Tigina, Anastasiia Birillo, Yaroslav Golubev, Hieke Keuning, Nikolay Vyahhi, Timofey Bryksin:
Analyzing the Quality of Submissions in Online Programming Courses. - Marwan Omar:
New Approach to Malware Detection Using Optimized Convolutional Neural Network. - Maosheng Yang, Elvin Isufi:
Convolutional Learning on Simplicial Complexes. - Xiangyu Wang, Xueming Yan, Yaochu Jin:
A Graph Neural Network with Negative Message Passing for Graph Coloring. - Tharaka Perera, Saman Atapattu, Yuting Fang, Prathapasinghe Dharmawansa, Jamie S. Evans:
Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks. - Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra:
Neural Inverse Operators for Solving PDE Inverse Problems. - (Withdrawn) Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout.
- Linda Dotto de Moraes, Victor Augusto Kich, Alisson Henrique Kolling, Jair Augusto Bottega, Raul Steinmetz, Emerson Cassiano da Silva, Ricardo Bedin Grando, Anselmo Rafael Cuckla, Daniel Fernando Tello Gamarra:
Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots. - Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi, In So Kweon:
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data. - Thomas A. Henzinger, Nicolas Mazzocchi, N. Ege Saraç:
Quantitative Safety and Liveness. - Andrew M. McNutt, Chenglong Wang, Robert A. DeLine, Steven Mark Drucker:
On the Design of AI-powered Code Assistants for Notebooks. - Ziran Qin, Mingbao Lin, Weiyao Lin:
Low-Rank Winograd Transformation for 3D Convolutional Neural Networks. - Martin Klissarov, Marlos C. Machado:
Deep Laplacian-based Options for Temporally-Extended Exploration. - Gustavo Candela:
Towards a semantic approach in GLAM Labs: the case of the Data Foundry at the National Library of Scotland. - (Withdrawn) Causal Graph Discovery from Self and Mutually Exciting Time Series.
- Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
On the Downlink SINR Meta Distribution of UAV-assisted Wireless Networks. - Jeff Giliberti, Manuela Fischer, Christoph Grunau:
Deterministic Massively Parallel Symmetry Breaking for Sparse Graphs. - Jesús Silva-Rodríguez, Jin Lu, Xingpeng Li:
Cost-benefit Analysis And Comparisons For Different Offshore Wind Energy Transmission Systems. - Diego González Morín, Daniele Medda, Athanasios C. Iossifides, Periklis Chatzimisios, Ana García Armada, Álvaro Villegas, Pablo Pérez:
An eXtended Reality Offloading IP Traffic Dataset and Models. - Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? - Bo Wang, Aashish Kullori, Ivica Nikolic, Teodora Baluta, Prateek Saxena:
User-customizable Transpilation of Scripting Languages. - Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. - Abdullatif Baba, Basel Alothman:
A fuzzy logic-based stabilization system for a flying robot, with an embedded energy harvester and a visual decision-making system. - Nicolò Ruggeri, Martina Contisciani, Federico Battiston, Caterina De Bacco:
Generalized Inference of Mesoscale Structures in Higher-order Networks. - Xinan Chen, Helene Benveniste, Allen R. Tannenbaum:
Unbalanced Regularized Optimal Mass Transport with Applications to Fluid Flows in the Brain. - Raven Beutner, Bernd Finkbeiner:
AutoHyper: Explicit-State Model Checking for HyperLTL. - Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu:
BiBench: Benchmarking and Analyzing Network Binarization. - Felipe Fernández, Sofía López-Ordóñez, Sergio González Andrade:
Regularized Approach for Bingham Viscoplastic Shallow Flow Using the Discontinuous Galerkin Method. - Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games. - Pascal Baumann, Roland Meyer, Georg Zetzsche:
Regular Separability in Büchi VASS. - Gian Piero Deidda, Patricia Diaz de Alba, Federica Pes, Giuseppe Rodriguez:
Forward electromagnetic induction modelling in a multilayered half-space: An open-source software tool. - Mahmoud Ali, Lantao Liu:
Light-Weight Pointcloud Representation with Sparse Gaussian Process. - Vuong T. Pham, Hien D. Nguyen, Thinh Le, Binh T. Nguyen, Quoc Hung Ngo:
Ontology-based Solution for Building an Intelligent Searching System on Traffic Law Documents. - D. Kamelesun, R. Saranya, P. Kathiravan:
A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends. - Yin Fang, Ningyu Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Domain-Agnostic Molecular Generation with Self-feedback. - Chunlin Sun, Shang Liu, Xiaocheng Li:
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming. - (Withdrawn) Fast Approximation of Polynomial Zeros and Matrix Eigenvalues.
- Banghua Zhu, Jiantao Jiao, Michael I. Jordan:
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons. - Billy Pik Lik Lau, Zann Koh, Yuren Zhou, Benny Kai Kiat Ng, Chau Yuen, Mui Lang Low:
Location-based Activity Behavior Deviation Detection for Nursing Home using IoT Devices. - Kimia Shayestehfard, Dana H. Brooks, Stratis Ioannidis:
AlignGraph: A Group of Generative Models for Graphs. - Xingchen Zhang, Yiannis Demiris:
Self-Supervised RGB-T Tracking with Cross-Input Consistency. - Carter Sifferman:
A Review of Scene Representations for Robot Manipulators. - Yu-Hong Yeung, David A. Barajas-Solano, Alexandre M. Tartakovsky:
Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems. - Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman:
Text-To-4D Dynamic Scene Generation. - Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera:
BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. - Tad Hogg:
Chemical Power for Swarms of Microscopic Robots in Blood Vessels. - Haci Ismail Aslan, Chang Choi, Hoon Ko:
Classification of vertices on social networks by multiple approaches. - Yijing Lin, Hongyang Du, Dusit Niyato, Jiangtian Nie, Jiayi Zhang, Yanyu Cheng, Zhaohui Yang:
Blockchain-aided Secure Semantic Communication for AI-Generated Content in Metaverse. - Cencheng Shen, Youngser Park, Carey E. Priebe:
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. - Mehran Kazemi, Sid Mittal, Deepak Ramachandran:
Understanding Finetuning for Factual Knowledge Extraction from Language Models. - Marck van der Vegt, Nils Jansen, Sebastian Junges:
Robust Almost-Sure Reachability in Multi-Environment MDPs. - Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu:
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients. - Todd Schmid, Tobias Kappé, Alexandra Silva:
A Complete Inference System for Skip-free Guarded Kleene Algebra with Tests. - Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn:
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. - Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh:
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series. - Pranjal Aggarwal, Ameet Deshpande, Karthik Narasimhan:
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. - Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Good Features to Transfer Across Tasks and Domains. - Laura Nguyen, Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano:
LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization. - Ola Shorinwa, Trevor Halsted, Javier Yu, Mac Schwager:
Distributed Optimization Methods for Multi-Robot Systems: Part I - A Tutorial. - Mingquan Lin, Yuyun Xiao, Bo-Jian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng:
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. - Maziar Raissi:
Open Problems in Applied Deep Learning. - Nhu Khoa Nguyen, Thierry Delahaut, Emanuela Boros, Antoine Doucet, Gaël Lejeune:
Contextualizing Emerging Trends in Financial News Articles. - Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra:
Cut and Learn for Unsupervised Object Detection and Instance Segmentation. - Brett Daley, Martha White, Christopher Amato, Marlos C. Machado:
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. - Jason Youn, Fangzhou Li, Ilias Tagkopoulos:
Semi-Automated Construction of Food Composition Knowledge Base. - Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar:
Joint Training of Deep Ensembles Fails Due to Learner Collusion. - Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Certified Interpretability Robustness for Class Activation Mapping. - Andrea Agostinelli, Timo I. Denk, Zalán Borsos, Jesse H. Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, Matthew Sharifi, Neil Zeghidour, Christian Havnø Frank:
MusicLM: Generating Music From Text. - Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov, Kyle Olszewski, Jian Ren, Hsin-Ying Lee, Menglei Chai, Sergey Tulyakov:
Unsupervised Volumetric Animation. - Umut Demirhan, Ahmed Alkhateeb:
Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming. - Matthew Cleaveland, Ivan Ruchkin, Oleg Sokolsky, Insup Lee:
Conservative Safety Monitors of Stochastic Dynamical Systems. - Gaole He, Lucie Kuiper, Ujwal Gadiraju:
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems. - Salvatore Orlando, Marco Miceli, Ugo Lo Cicero, Sabina Ustamujic:
Virtual reality for the analysis and visualization of scientific numerical models. - Song Wei, Yao Xie:
Causal Structural Learning from Time Series: A Convex Optimization Approach. - David Boetius, Stefan Leue, Tobias Sutter:
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks. - Fatima Oliva-Palomo, Diego Alberto Mercado-Ravell, Pedro Castillo:
Aerial Transportation Control of Suspended Payloads with Multiple Agents. - Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David E. Carlson:
Estimating Causal Effects using a Multi-task Deep Ensemble. - Dirk U. Wulff, Dominik S. Meier, Rui Mata:
Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals. - Jonas Köhler, Michele Invernizzi, Pim de Haan, Frank Noé:
Rigid body flows for sampling molecular crystal structures. - Miguel Ángel de Carvalho Servia, Ilya Orson Sandoval, Klaus Hellgardt, King Kuok Hii, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
The Automated Discovery of Kinetic Rate Models - Methodological Frameworks. - Yucheng Zhou, Guodong Long:
Multimodal Event Transformer for Image-guided Story Ending Generation. - Paul Gavrikov, Janis Keuper:
Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters? - Ola Shorinwa, Trevor Halsted, Javier Yu, Mac Schwager:
Distributed Optimization Methods for Multi-Robot Systems: Part II - A Survey. - Yucheng Zhou, Guodong Long:
Improving Cross-modal Alignment for Text-Guided Image Inpainting. - Magreth Mushi, Yuchen Liu, Shreyas Sreenivasa, Özgür Özdemir, Ismail Güvenç, Mihail L. Sichitiu, Rudra Dutta, Russ Gyurek:
Open RAN Testbeds with Controlled Air Mobility. - Yucheng Zhou, Guodong Long:
Style-Aware Contrastive Learning for Multi-Style Image Captioning. - Ryan Humble, Zhe Zhang, Finn O'Shea, Eric Darve, Daniel Ratner:
Coincident Learning for Unsupervised Anomaly Detection. - Chenxi Yang, Greg Anderson, Swarat Chaudhuri:
Policy Optimization with Robustness Certificates. - Jacob A. Zavatone-Veth, Sheng Yang, Julian A. Rubinfien, Cengiz Pehlevan:
Neural networks learn to magnify areas near decision boundaries. - Olivier Therrien, Yannick Levesque, Guillaume Gilet:
Screen Space Indirect Lighting with Visibility Bitmask. - Ali Taghibakhshi, Nicolas Nytko, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West:
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. - Manabu Torii, Ian M. Finn, Son Doan, Paul Wang, Elly W. Yang, Daniel S. Zisook:
Task formulation for Extracting Social Determinants of Health from Clinical Narratives. - Qingsong Xu, Yilei Shi, Xin Yuan, Xiao Xiang Zhu:
Universal Domain Adaptation for Remote Sensing Image Scene Classification. - Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Peña:
A Symbolic Emulator for Shuffle Synthesis on the NVIDIA PTX Code. - Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. - D. Nam, David B. Skillicorn:
Detecting Pump&Dump Stock Market Manipulation from Online Forums. - Zhongwen Zhang, Yuri Boykov:
Revisiting Discriminative Entropy Clustering and its relation to K-means. - Alexander Gutkin, Cibu Johny, Raiomond Doctor, Brian Roark, Richard Sproat:
Beyond Arabic: Software for Perso-Arabic Script Manipulation. - Alexander Campbell, Simeon E. Spasov, Nicola Toschi, Pietro Liò:
DBGDGM: Dynamic Brain Graph Deep Generative Model. - Ivan Pombo, Luís Sarmento:
Automatic differentiation as an effective tool in Electrical Impedance Tomography. - Teng Andrea Xu, Bryan Kelly, Semyon Malamud:
A Simple Algorithm For Scaling Up Kernel Methods. - Yifan Lin, Enlu Zhou:
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes. - Tomas Cabezon Pedroso, Jinmo Rhee, Daragh Byrne:
Feature space exploration as an alternative for design space exploration beyond the parametric space. - Mert Kilickaya, Joaquin Vanschoren:
Are Labels Needed for Incremental Instance Learning? - Edgar Rangel, Fabio Martínez:
Parkinson gait modelling from an anomaly deep representation. - Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler:
Efficiently predicting high resolution mass spectra with graph neural networks. - Donghoon Lee, Ellen Yorke, Masoud Zarepisheh, Saad Nadeem, Yu-Chi Hu:
RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans. - Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill:
Model-based Offline Reinforcement Learning with Local Misspecification. - Jürgen Pfeffer, Daniel Matter, Kokil Jaidka, Onur Varol, Afra Mashhadi, Jana Lasser, Dennis Assenmacher, Siqi Wu, Diyi Yang, Cornelia Brantner, Daniel M. Romero, Jahna Otterbacher, Carsten Schwemmer, Kenneth Joseph, David García, Fred Morstatter:
Just Another Day on Twitter: A Complete 24 Hours of Twitter Data. - Linus Härenstam-Nielsen, Niclas Zeller, Daniel Cremers:
Semidefinite Relaxations for Robust Multiview Triangulation. - Albrecht Kurze:
Emotional Interaction Qualities: Vocabulary, Modalities, Actions, And Mapping. - Matt Fredrikson, Kaiji Lu, Saranya Vijayakumar, Somesh Jha, Vijay Ganesh, Zifan Wang:
Learning Modulo Theories. - Albrecht Kurze:
Synesthetic Dice: Sensors, Actuators, And Mappings. - Marcin Niemiec, Tymoteusz Widlarz, Miralem Mehic:
Secure synchronization of artificial neural networks used to correct errors in quantum cryptography. - Latif U. Khan, Mohsen Guizani, Dusit Niyato, Ala I. Al-Fuqaha, Mérouane Debbah:
Metaverse for Wireless Systems: Architecture, Advances, Standardization, and Open Challenges. - Nikolai Karpov, Qin Zhang:
Collaborative Regret Minimization in Multi-Armed Bandits. - Christian Koke:
Limitless stability for Graph Convolutional Networks. - Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka:
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models. - Alain Rakotomamonjy, Maxime Vono, Hamlet Jesse Medina Ruiz, Liva Ralaivola:
Personalised Federated Learning On Heterogeneous Feature Spaces. - Bibek Aryal, Katie E. Miles, Sergio A. Vargas Zesati, Olac Fuentes:
Boundary Aware U-Net for Glacier Segmentation. - Christian Koke, Gitta Kutyniok:
Graph Scattering beyond Wavelet Shackles. - Yunxu Xie, Shu Hu, Xin Wang, Quanyu Liao, Bin Zhu, Xi Wu, Siwei Lyu:
Attacking Important Pixels for Anchor-free Detectors. - Zi Lin, Jeremiah Z. Liu, Jingbo Shang:
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. - Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Learning to Generate All Feasible Actions. - Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy:
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. - Ali Nikhalat Jahromi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoin. - Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan:
Cross-domain recommendation via user interest alignment. - Bernat Ollé, Pau Talarn, Albert Cabellos-Aparicio, Filip Lemic, Eduard Alarcón, Sergi Abadal:
Multi-channel Medium Access Control Protocols for Wireless Networks within Computing Packages. - Lingwei Zhu, Zheng Chen, Takamitsu Matsubara, Martha White:
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence. - Thibault Gauthier, Miroslav Olsák, Josef Urban:
Alien Coding. - Zhijian Duan, Yunxuan Ma, Xiaotie Deng:
Are Equivariant Equilibrium Approximators Beneficial? - Hans W. A. Hanley, Zakir Durumeric:
Sub-Standards and Mal-Practices: Misinformation's Role in Insular, Polarized, and Toxic Interactions. - Siddhartha Datta, Nigel Shadbolt:
Projected Subnetworks Scale Adaptation. - Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty:
Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models. - Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. - Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu:
Learning Vortex Dynamics for Fluid Inference and Prediction. - Chen Pang, Xuequan Lu, Lei Lyu:
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks. - Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi-Amiri, Hao Zhang:
DualCSG: Learning Dual CSG Trees for General and Compact CAD Modeling. - Fei Pan, Yutong Wu, Kangning Cui, Shuxun Chen, Yanfang Li, Yaofang Liu, Adnan Shakoor, Han Zhao, Beijia Lu, Shaohua Zhi, Raymond H. Chan, Dong Sun:
Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images. - Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon S. Du, Jason D. Lee:
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing. - Huanran Zheng, Wei Zhu, Pengfei Wang, Xiaoling Wang:
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation. - Zhe Ning, Yunhua Sun:
Design of an FPGA-based USB 3.0 device controller. - Sungdong Kim, Jin-Hwa Kim, Jiyoung Lee, Minjoon Seo:
Semi-Parametric Video-Grounded Text Generation. - William Romano, Omar Sharif, Madhusudan Basak, Joseph Gatto, Sarah Masud Preum:
Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery. - Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Xavier Tricoche, Maarten V. de Hoop:
Fine-tuning Neural-Operator architectures for training and generalization. - Xianzhong Ding, Alberto Cerpa, Wan Du:
Exploring Deep Reinforcement Learning for Holistic Smart Building Control. - Akshin Singh, Smruti R. Sarangi:
JASS: A Flexible Checkpointing System for NVM-based Systems. - Tianyi Zhang, Zhiling Yan, Chunhui Li, Nan Ying, Yanli Lei, Yunlu Feng, Yu Zhao, Guanglei Zhang:
CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Analysis. - Jiaqi Liu, Guoyang Xie, Jingbao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, Yaochu Jin:
Deep Industrial Image Anomaly Detection: A Survey. - Xin Zhang, Shenghui Song, Yonina C. Eldar:
Secrecy Analysis for MISO Broadcast Systems with Regularized Zero-Forcing Precoding. - Helen H. Huang, Hanspeter Pfister, Yalong Yang:
Is Embodied Interaction Beneficial? A Study on Navigating Network Visualizations. - Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Pietro Liò, Yiren Zhao:
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration. - Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael I. Jordan:
Online Learning in Stackelberg Games with an Omniscient Follower. - Dongseok Shim, Seungjae Lee, H. Jin Kim:
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning. - Ali Bajwa, Minjian Zhang, Rohit Chadha, Mahesh Viswanathan:
Stack-Aware Hyperproperties. - Saulo Abraham Gante, Juan Irving Vasquez-Gomez, Marco Antonio Valencia, Mauricio Olguín-Carbajal:
A Comparison of Tiny-nerf versus Spatial Representations for 3d Reconstruction. - Ayush Kumar, Vrizlynn L. L. Thing:
RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. - Zeqiang Lai, Ying Fu:
Mixed Attention Network for Hyperspectral Image Denoising. - Ruigang Wang, Ian R. Manchester:
Direct Parameterization of Lipschitz-Bounded Deep Networks. - Ying Wang, Yanhao Wang:
Opinion-aware Influence Maximization in Online Social Networks. - Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li:
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion. - Qian Xie, Jiayi Wang, Li Jin:
Strategic Defense of Feedback-Controlled Parallel Queues against Reliability and Security Failures. - Zisheng Ye, Xiaoping Qian, Wenxiao Pan:
Quantum Topology Optimization via Quantum Annealing. - Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao:
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective. - Kuniyuki Takahashi, Tadahiro Taniguchi:
Goal-Image Conditioned Dynamic Cable Manipulation through Bayesian Inference and Multi-Objective Black-Box Optimization. - Bastián Bahamondes, Mathieu Dahan:
Hide-and-Seek Game with Capacitated Locations and Imperfect Detection. - Haoyang Cao, Haotian Gu, Xin Guo, Mathieu Rosenbaum:
Feasibility and Transferability of Transfer Learning: A Mathematical Framework. - Yuvaraj Govindarajulu, Avinash Amballa, Pavan Kulkarni, Manojkumar Parmar:
Targeted Attacks on Timeseries Forecasting. - Wei Tao, Lei Bao, Sheng Long, Gaowei Wu, Qing Tao:
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks. - Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation. - Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz:
Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows. - Omid Nejati Manzari, Hossein Kashiani, Hojat Asgarian Dehkordi, Shahriar Baradaran Shokouhi:
Robust Transformer with Locality Inductive Bias and Feature Normalization. - Suttisak Wizadwongsa, Supasorn Suwajanakorn:
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods. - Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. - A. Feder Cooper, Solon Barocas, Christopher De Sa, Siddhartha Sen:
Variance, Self-Consistency, and Arbitrariness in Fair Classification. - Yaoxian Song, Penglei Sun, Yi Ren, Yu Zheng, Yue Zhang:
Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding. - Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo:
Repairing DNN Architecture: Are We There Yet? - Dmitry Tanana:
Vulnerablity analysis of Azure Blockchain Workbench key management system. - Xu Shi, Jintao Wang, Zhi Sun, Jian Song:
Chirp-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO. - Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert:
AdaBoost is not an Optimal Weak to Strong Learner. - Tao Morisaki, Masahiro Fujiwara, Yasutoshi Makino, Hiroyuki Shinoda:
Noncontact Haptic Rendering of Static Contact with Convex Surface Using Circular Movement of Ultrasound Focus on a Finger Pad. - Jinming Zhou, Yucai Zhu:
Is Kalman Filter Optimal for Fault Detection? - Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti:
ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. - Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee:
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers. - Jarod Govers, Philip Feldman, Aaron Dant, Panos Patros:
Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech. - Matan Gilboa:
A Characterization of Complexity in Public Goods Games. - Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi:
A Green(er) World for A.I. - Zhiqiang Cai, Binghe Chen, Jing Yang:
Adaptive Least-Squares Methods for Convection-Dominated Diffusion-Reaction Problems. - Peihua Zhang, Chenggang Wu, Mingfan Peng, Kai Zeng, Ding Yu, Yuanming Lai, Yan Kang, Wei Wang, Zhe Wang:
Khaos: The Impact of Inter-procedural Code Obfuscation on Binary Diffing Techniques. - Zhimin Lu, Yong Xiao, Zijian Sun, Yingyu Li, Guangming Shi, Xianfu Chen, Mehdi Bennis, H. Vincent Poor:
Adversarial Learning for Implicit Semantic-Aware Communications. - Ali Kanj, Alexander F. Vakakis, Sameh Tawfick:
Buckling-induced transmission switching in phononic waveguides in the presence of disorder. - Ken Iwata, Naohisa Sakamoto, Jorji Nonaka, Chongke Bi:
Information Entropy-based Camera Path Estimation for In-Situ Visualization. - Hao Jiang, Tien Mai, Pradeep Varakantham:
Solving Constrained Reinforcement Learning through Augmented State and Reward Penalties. - Simon Ott, Konstantin Hebenstreit, Valentin Liévin, Christoffer Egeberg Hother, Milad Moradi, Maximilian Mayrhauser, Robert Praas, Ole Winther, Matthias Samwald:
ThoughtSource: A central hub for large language model reasoning data. - Mor Yona, Itzik Klein:
MissBeamNet: Learning Missing Doppler Velocity Log Beam Measurements. - Wandi Dong, Gaohang Yu, Liqun Qi, Xiaohao Cai:
Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors. - Nico Ebert, Tim Geppert, Joanna Strycharz, Melanie Knieps, Michael Hönig, Elke Brucker-Kley:
Creative beyond TikToks: Investigating Adolescents' Social Privacy Management on TikTok. - Liu Zhang, Jinyu Lu, Zilong Wang, Chao Li:
Improved Differential-neural Cryptanalysis for Round-reduced Simeck32/64. - (Withdrawn) A critical look at deep neural network for dynamic system modeling.
- Lecheng Kong, Christopher Ryan King, Bradley A. Fritz, Yixin Chen:
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks. - Paulina Watroba, Piotr Bródka:
Influence of Information Blocking on the Spread of Virus in Multilayer Networks. - Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle:
A Survey on AI Risk Assessment Frameworks. - Mandana Kariminejad, David Tormey, Saif Huq, Jim Morrison, Jeff Redmond, Carlos Souto, Marion McAfee:
Optimization of a Commercial Injection-Moulded component by Using DOE and Simulation. - Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi:
Event Causality Extraction with Event Argument Correlations. - Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl:
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels. - Viktoria Heimann, Andreas Spruck, André Kaup:
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support. - Adam Kania, Artur Kasymov, Maciej Zieba, Przemyslaw Spurek:
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN. - Sara Babaee Khanehsar, Farzad Didehvar:
Turing Machines Equipped with CTC in Physical Universes. - Vincenzo Ciancia, Diego Latella, Mieke Massink, Erik P. de Vink:
On Bisimilarity for Quasi-discrete Closure Spaces. - Marco Berardi, Fabio Vito Difonzo, Sabrina Francesca Pellegrino:
A Numerical Method for a Nonlocal Form of Richards' Equation Based on Peridynamic Theory. - Kamil Koniuch, Sabina Barakovic, Jasmina Barakovic Husic, Katrien De Moor, Lucjan Janowski, Michal Wierzchon:
Top-down and bottom-up approaches to video Quality of Experience studies; overview and proposal of a new model. - Benjamin Kiefer, Andreas Zell:
Fast Region of Interest Proposals on Maritime UAVs. - Alexander Demin, Elizaveta Demitraki, Gleb Pogudin:
Exact linear reductions of dynamical models. - Jooyoung Hahn, Karol Mikula, Peter Frolkovic:
Laplacian regularized eikonal equation with Soner boundary condition on polyhedral meshes. - Adrián Inés, César Domínguez, Jónathan Heras, Gadea Mata, Julio Rubio:
Semi-Supervised Machine Learning: a Homological Approach. - Pablo Antonio Martínez, Jackson Woodruff, Jordi Armengol-Estapé, Gregorio Bernabé, José Manuel García, Michael F. P. O'Boyle:
Matching Linear Algebra and Tensor Code to Specialized Hardware Accelerators. - Hyunsoo Cho, Choonghyun Park, Junyeop Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee:
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. - Gefan Yang, Stefan Sommer:
A Denoising Diffusion Model for Fluid Field Prediction. - Mubarakah Alotaibi, Richard C. Wilson:
Deep Residual Compensation Convolutional Network without Backpropagation. - Daniel Lundén, Gizem Çaylak, Fredrik Ronquist, David Broman:
Automatic Alignment in Higher-Order Probabilistic Programming Languages. - Bin Liu, Bang Wang:
Bayesian Self-Supervised Contrastive Learning. - Shuche Wang, Van Khu Vu, Vincent Y. F. Tan:
Codes for Correcting Asymmetric Adjacent Transpositions and Deletions. - Xin Cheng, Shen Gao, Yuchi Zhang, Yongliang Wang, Xiuying Chen, Mingzhe Li, Dongyan Zhao, Rui Yan:
Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately. - Alessandro Abate, Alec Edwards, Mirco Giacobbe:
Neural Abstractions. - Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo:
Theoretical Analysis of Offline Imitation With Supplementary Dataset. - Jakub Hoscilowicz, Marcin Sowanski, Piotr Czubowski, Artur Janicki:
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU? - Kunpeng Zhang, Lan Wu, Liang Zheng, Na Xie, Zhengbing He:
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding. - Ali Jarrahi, Ramin Mousa, Leila Safari:
SLCNN: Sentence-Level Convolutional Neural Network for Text Classification. - Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Image Restoration with Mean-Reverting Stochastic Differential Equations. - Zezhong Zhang, Feng Bao, Lili Ju, Guannan Zhang:
TransNet: Transferable Neural Networks for Partial Differential Equations. - Kuang Hangdong, Mi Bo:
FedHP: Heterogeneous Federated Learning with Privacy-preserving. - Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Input Perturbation Reduces Exposure Bias in Diffusion Models. - Matej Choma, Petr Simánek, Jakub Bartel:
Improving deep learning precipitation nowcasting by using prior knowledge. - Xinchen Kang, Dengfeng Yao, Minghu Jiang, Yunlong Huang, Fanshu Li:
Semantic Network Model for Sign Language Comprehension. - Daniel Pérez Herrera, Zheng Chen, Erik G. Larsson:
Distributed Consensus in Wireless Networks with Probabilistic Broadcast Scheduling. - Sarita Schoenebeck, Amna Batool, Giang Do, Sylvia Darling, Gabriel Grill, Daricia Wilkinson, Mehtab Khan, Kentaro Toyama, Louise Ashwell:
Online Harassment in Majority Contexts: Examining Harms and Remedies across Countries. - Phuong-Hang Le, Hongyu Gong, Changhan Wang, Juan Pino, Benjamin Lecouteux, Didier Schwab:
Pre-training for Speech Translation: CTC Meets Optimal Transport. - Chen Chen, Wei Emma Zhang, Alireza Seyed Shakeri:
Incorporating Knowledge into Document Summarization: an Application of Prefix-Tuning on GPT-2. - Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre:
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? - Zhijun Ding, Shuo Li, Cheng Chen, Cong He:
Program Dependence Net and Its Slice for Verifying Linear Temporal Properties. - Jacob Tyo, Zachary C. Lipton:
Meta-Learning Mini-Batch Risk Functionals. - Hadi Mansourifar, Steven J. Simske:
GAN-Based Object Removal in High-Resolution Satellite Images. - Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis:
From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics. - Stanislav Kruglik, Son Hoang Dau, Han Mao Kiah, Huaxiong Wang:
Two-Server Private Information Retrieval with Optimized Download Rate and Result Verification. - Jane Im, Sarita Schoenebeck, Marilyn Iriarte, Gabriel Grill, Daricia Wilkinson, Amna Batool, Rahaf Alharbi, Audrey Funwie, Tergel Gankhuu, Eric Gilbert, Mustafa Naseem:
Women's Perspectives on Harm and Justice after Online Harassment. - Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Stephen J. Redmond:
Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning. - Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi P. P. Jokinen, Antti Oulasvirta, Gustav Markkula:
Modeling human road crossing decisions as reward maximization with visual perception limitations. - Eleonora Denich:
Error estimates for a Gaussian rule involving Bessel functions. - Daesol Cho, Seungjae Lee, H. Jin Kim:
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation. - Xu Wang, Pengfei Gu, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective. - Van Chien Le, Marián Slodicka, Karel Van Bockstal:
A numerical scheme for solving an induction heating problem with moving non-magnetic conductor. - Yan Long, Kevin Fu:
Side Auth: Synthesizing Virtual Sensors for Authentication. - Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su:
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation. - Pravin Kumar Rana, Markus Flierl:
Inter-View Depth Consistency Testing in Depth Difference Subspace. - Mélodie Boillet:
Détection d'Objets dans les documents numérisés par réseaux de neurones profonds. - Borzoo Rassouli, Deniz Gündüz:
Information-Theoretic Privacy-Preserving Schemes Based On Perfect Privacy. - Flavio Schneider, Zhijing Jin, Bernhard Schölkopf:
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion. - Shuai Shao, Stanislav Zivný:
A Strongly Polynomial-Time Algorithm for Weighted General Factors with Three Feasible Degrees. - Suha Tuna, Cagri Gulec, Emrah Yucesan, Ayse Cirakoglu, Yelda Tarkan Arguden:
Gene Teams are on the Field: Evaluation of Variants in Gene-Networks Using High Dimensional Modelling. - Juntao Tan, Yongfeng Zhang:
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. - Trisha Chakraborty, Shaswata Mitra, Sudip Mittal:
CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense. - Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson:
Automatic Modulation Classification with Deep Neural Networks. - Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu:
Reinforcement Learning from Diverse Human Preferences. - Johannes Schmidt-Hieber:
Interpreting learning in biological neural networks as zero-order optimization method. - Penghao Jiang, Ke Xin, Zifeng Wang, Chunxi Li:
Invariant Meta Learning for Out-of-Distribution Generalization. - Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon:
Aleatoric and Epistemic Discrimination in Classification. - Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Ioannis G. Kevrekidis, Mahyar Fazlyab:
Certified Invertibility in Neural Networks via Mixed-Integer Programming. - Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao:
Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization. - Aishwarya Sarkar, Chaoqun Lu, Ali Jannesari:
Accelerating Domain-aware Deep Learning Models with Distributed Training. - Sumukh K. Aithal, Anirudh Goyal, Alex Lamb, Yoshua Bengio, Michael Mozer:
Leveraging the Third Dimension in Contrastive Learning. - Yunjie He, Philip John Gorinski, Ieva Staliunaite, Pontus Stenetorp:
Graph Attention with Hierarchies for Multi-hop Question Answering. - Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang:
Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. - Nguyen The Vinh, Nguyen Tuan Anh, Nguyen Hong Tan, Luong Khac Dinh:
Factors influencing to use of Bluezone. - Johan Östman, Ather Gattami, Daniel Gillblad:
Decentralized Online Bandit Optimization on Directed Graphs with Regret Bounds. - Hazem Lashen, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu:
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection. - Arup Kumar Sarker, Farzana Yasmin Ahmad, Matthew B. Dwyer:
PCV: A Point Cloud-Based Network Verifier. - David van Son, Floran de Putter, Sebastian Vogel, Henk Corporaal:
BOMP-NAS: Bayesian Optimization Mixed Precision NAS. - Vinh The Nguyen, Chuyen Thi Hong Nguyen:
A systematic review of structural equation modeling in augmented reality applications. - Ying Zhang, Heyong Wang, Maoliang Yin, Jiankun Wang, Changchun Hua:
Bi-AM-RRT*: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments. - Mostafa Ahmadi, Amin Alizadeh Naeini, Zahra Arjmandi, Yujia Zhang, Mohammad Moein Sheikholeslami, Gunho Sohn:
HDPV-SLAM: Hybrid Depth-augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera. - Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni:
PECAN: A Deterministic Certified Defense Against Backdoor Attacks. - Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. - Chenguang Liu, Hao Tian, Wai-Sun Don, Hong Wang:
A fast computational framework for the linear bond-based peridynamic model. - Binquan Guo, Hongyan Li, Ye Yan, Zhou Zhang, Peng Wang:
Data Volume-aware Computation Task Scheduling for Smart Grid Data Analytic Applications. - Masaki Adachi, Satoshi Hayakawa, Saad Hamid, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne:
SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints. - Peiyao Zhang, Ji Woong Kim, Peter Gehlbach, Iulian Iordachita, Marin Kobilarov:
Autonomous Needle Navigation in Retinal Microsurgery: Evaluation in ex vivo Porcine Eyes. - Oshri Halimi, Egor Larionov, Zohar Barzelay, Philipp Herholz, Tuur Stuyck:
PhysGraph: Physics-Based Integration Using Graph Neural Networks. - Daniel Gratzer:
Normalization for multimodal type theory. - Mubashara Akhtar, Oana Cocarascu, Elena Simperl:
Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking. - Gautier Dagan, Frank Keller, Alex Lascarides:
Learning the Effects of Physical Actions in a Multi-modal Environment. - Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo:
A Comparative Study of Pretrained Language Models for Long Clinical Text. - Max Klimm, Maximilian J. Stahlberg:
Complexity of equilibria in binary public goods games on undirected graphs. - Francielle Alves Vargas, Fabiana Rodrigues de Góes, Thiago A. S. Pardo, Fabrício Benevenuto:
Factual or Biased? Predicting Sentence-Level Factuality and Bias of News. - Bich Ngoc Vu, Vladimír Lukes, Michael Stingl, Eduard Rohan:
A Sequential Global Programming Approach for Two-scale Optimization of Homogenized Multiphysics Problems with Application to Biot Porous Media. - Hui Wen Goh, Jonas Mueller:
ActiveLab: Active Learning with Re-Labeling by Multiple Annotators. - Niko A. Grupen, Michael Hanlon, Alexis Hao, Daniel D. Lee, Bart Selman:
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning. - Pierre Clairambault, Simon Forest:
The Cartesian Closed Bicategory of Thin Spans of Groupoids. - Matt Earnshaw, James Hefford, Mario Román:
The Produoidal Algebra of Process Decomposition. - Zhivar Sourati, Filip Ilievski, Hông-Ân Sandlin, Alain Mermoud:
Case-Based Reasoning with Language Models for Classification of Logical Fallacies. - Bin Duan, Keshav Bhandari, Gaowen Liu, Yan Yan:
Optical Flow Estimation in 360° Videos: Dataset, Model and Application. - Luke Sperling, Sandeep S. Kulkarni:
Privacy-Preserving Methods for Outlier-Resistant Average Consensus and Shallow Ranked Vote Leader Election. - Dongsheng Yang, Daniel S. Berger, Kai Li, Wyatt Lloyd:
A Learned Cache Eviction Framework with Minimal Overhead. - Yuriy V. Shablya, Dmitry V. Kruchinin:
Algorithms for ranking and unranking the combinatorial set of RNA secondary structures. - Stephen A. Goss, Robert J. Steininger, Dhruv Narayanan, Daniel V. Olivença, Yutong Sun, Peng Qiu, Jim Amato, Eberhard O. Voit, Walter E. Voit, Eric J. Kildebeck:
Polycraft World AI Lab (PAL): An Extensible Platform for Evaluating Artificial Intelligence Agents. - Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri:
Streaming LifeLong Learning With Any-Time Inference. - Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae:
DAG Learning on the Permutahedron. - Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi:
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers. - Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone:
Tree-structured Policy Planning with Learned Behavior Models. - Marco Skocaj, Pedro Enrique Iturria-Rivera, Roberto Verdone, Melike Erol-Kantarci:
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning. - George Christodoulou, Elias Koutsoupias, Annamária Kovács:
A proof of the Nisan-Ronen conjecture. - Pablo Zometa, Timm Faulwasser:
Quantized Deep Path-following Control on a Microcontroller. - Johanna Vielhaben, Stefan Blücher, Nils Strodthoff:
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. - Xingwu Guo, Ziwei Zhou, Yueling Zhang, Guy Katz, Min Zhang:
OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks. - Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov:
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient. - Jie Zhu, Jiyang Qi, Mingyu Ding, Xiaokang Chen, Ping Luo, Xinggang Wang, Wenyu Liu, Leye Wang, Jingdong Wang:
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning. - Xinyi Wang, Wanrong Zhu, William Yang Wang:
Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning. - Charles Fox, Neil Tran, Nikki Nacion, Samiha Sharlin, Tyler R. Josephson:
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System. - Laetitia Laguzet, Gabriel Turinici:
A cell-based population control of Monte Carlo particles for the global variance reduction for transport equations. - Giovanni Spitale, Nikola Biller-Andorno, Federico Germani:
AI model GPT-3 (dis)informs us better than humans. - Yuri Nesterenko:
Octupoles for octahedral symmetry. - Andrei Arhire, Paul Diac:
PACE Solver Description: A Heuristic Directed Feedback Vertex Set Problem Algorithm. - L. L. Yaw:
Introduction to the Virtual Element Method for 2D Elasticity. - Guangyao Chen, Peixi Peng, Guoqi Li, Yonghong Tian:
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway. - Kai Diethelm:
Diffusive Representations for the Numerical Evaluation of Fractional Integrals. - Muhammad Al-Barham, Adham Alsharkawi, Musa Al Yaman, Mohammad Al-Fetyani, Ashraf Elnagar, Ahmad Abu SaAleek, Mohammad Al-Odat:
RGB Arabic Alphabets Sign Language Dataset. - Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang:
On the Connection Between MPNN and Graph Transformer. - Mitra Lashkari, Jinghui Cheng:
"Finding the Magic Sauce": Exploring Perspectives of Recruiters and Job Seekers on Recruitment Bias and Automated Tools. - Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra:
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. - Ken St. Germain, Josh Angichiodo:
Adversarial Networks and Machine Learning for File Classification. - SatyaJaswanth Badri, Mukesh Saini, Neeraj Goel:
Mapi-Pro: An Energy Efficient Memory Mapping Technique for Intermittent Computing. - Saugat Aryal, Mark T. Keane:
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. - Alexandra Bremers, Alexandria Pabst, Maria Teresa Parreira, Wendy Ju:
Using Social Cues to Recognize Task Failures for HRI: A Review of Current Research and Future Directions. - Nathan Fradet, Jean-Pierre Briot, Fabien Chhel, Amal El Fallah Seghrouchni, Nicolas Gutowski:
Byte Pair Encoding for Symbolic Music. - Md. Rafat Rahman Tushar, Shahnewaz Siddique:
A Memory Efficient Deep Reinforcement Learning Approach For Snake Game Autonomous Agents. - Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura:
Unearthing InSights into Mars: unsupervised source separation with limited data. - Zhongguo Li, Wen-Hua Chen, Jun Yang, Yunda Yan:
Dual Control of Exploration and Exploitation for Self-Optimisation Control in Uncertain Environments. - Soroush Hashemifar, Abdolreza Marefat, Javad Hassannataj Joloudari, Hamid Hassanpour:
FRA: A novel Face Representation Augmentation algorithm for face recognition. - Pierre Fraigniaud, Pedro Montealegre, Ivan Rapaport, Ioan Todinca:
Energy-Efficient Distributed Algorithms for Synchronous Networks. - Antti Koskela, Tejas Kulkarni:
Practical Differentially Private Hyperparameter Tuning with Subsampling. - Ilia Sucholutsky, Thomas L. Griffiths:
Alignment with human representations supports robust few-shot learning. - Jürgen Dölz:
Data sparse multilevel covariance estimation in optimal complexity. - Rebecca Dorn, Yiwen Ma, Fred Morstatter, Kristina Lerman:
Gender and Prestige Bias in Coronavirus News Reporting. - Randy Kuang, Maria Perepechaenko, Ryan Toth:
A New Symmetric Homomorphic Functional Encryption over a Hidden Ring for Polynomial Public Key Encapsulations. - Guoqing Luo, Yutong Han, Lili Mou, Mauajama Firdaus:
Prompt-Based Editing for Text Style Transfer. - Stefany Cruz, Logan Danek, Shinan Liu, Christopher Kraemer, Zixin Wang, Nick Feamster, Danny Yuxing Huang, Yaxing Yao, Josiah D. Hester:
Augmented Reality's Potential for Identifying and Mitigating Home Privacy Leaks. - Barbora Buhnova:
Beyond Classroom: Making a Difference in Diversity in Tech. - João G. Zago, Eduardo Camponogara, Eric A. Antonelo:
Vertex-based reachability analysis for verifying ReLU deep neural networks. - Sangyun Lee, Beomsu Kim, Jong Chul Ye:
Minimizing Trajectory Curvature of ODE-based Generative Models. - Jessica Huynh, Cathy Jiao, Prakhar Gupta, Shikib Mehri, Payal Bajaj, Vishrav Chaudhary, Maxine Eskénazi:
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation. - Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar:
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. - Aref Jafari, Mehdi Rezagholizadeh, Ali Ghodsi:
Improved knowledge distillation by utilizing backward pass knowledge in neural networks. - Fernando Castañeda, Haruki Nishimura, Rowan McAllister, Koushil Sreenath, Adrien Gaidon:
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. - Elijah Pelofske, Lorie M. Liebrock, Vincent Urias:
Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence. - Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He:
Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases. - Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy:
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems. - Ang Li, Scott Mueller, Judea Pearl:
Epsilon-Identifiability of Causal Quantities. - Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Meta Temporal Point Processes. - Pranav Singh, Jacopo Cirrone:
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning. - Melissa Antonelli, Ugo Dal Lago, Davide Davoli, Isabel Oitavem, Paolo Pistone:
An Arithmetic Theory for the Poly-Time Random Functions. - Anand Jayarajan, Wei Zhao, Yudi Sun, Gennady Pekhimenko:
TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization. - Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai:
Context Matters: A Strategy to Pre-train Language Model for Science Education. - Ali Borji:
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models. - Tomer Galanti, Mengjia Xu, Liane Galanti, Tomaso A. Poggio:
Norm-based Generalization Bounds for Compositionally Sparse Neural Networks. - Diyi Liu, Lanmin Liu, Lee D. Han:
Analyzing Robustness of the Deep Reinforcement Learning Algorithm in Ramp Metering Applications Considering False Data Injection Attack and Defense. - Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha:
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning. - Marwan Omar:
Harnessing the Power of Decision Trees to Detect IoT Malware. - Joshua Jaworski, Ningkun Zheng, Matthias Preindl, Bolun Xu:
Vehicle-to-Grid Fleet Service Provision considering Nonlinear Battery Behaviors. - Omar M. Sleem, Constantino M. Lagoa:
Parsimonious System Identification from Fragmented Quantized Measurements. - Yasmeen M. Khedr, Yifeng Xiong, Kun He:
Semantic Adversarial Attacks on Face Recognition through Significant Attributes. - James Kotary, My H. Dinh, Ferdinando Fioretto:
Folded Optimization for End-to-End Model-Based Learning. - Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu:
Making Reconstruction-based Method Great Again for Video Anomaly Detection. - Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox:
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling. - Willie Kang, Sean Kim, Eliot Yoo, Samuel Kim:
Predicting Students' Exam Scores Using Physiological Signals. - Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang:
Leveraging Importance Weights in Subset Selection. - Juan Wang, Bin Xia:
Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations. - Abhinit Kumar Ambastha, Tze-Yun Leong:
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning. - Abhinit Kumar Ambastha, Leong Tze Yun:
TIDo: Source-free Task Incremental Learning in Non-stationary Environments. - Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic:
Variational Latent Branching Model for Off-Policy Evaluation. - Kaijie Zhao, Haitao Zhao, Zhongze Wang, Jingchao Peng, Zhengwei Hu:
Object Preserving Siamese Network for Single Object Tracking on Point Clouds. - Liya Wang, Alex Tien:
Aerial Image Object Detection With Vision Transformer Detector (ViTDet). - Zhiyong Zheng, Fengxia Liu, Kun Tian:
An Unbounded Fully Homomorphic Encryption Scheme Based on Ideal Lattices and Chinese Remainder Theorem. - Fengjiao Li, Xingyu Zhou, Bo Ji:
(Private) Kernelized Bandits with Distributed Biased Feedback. - Kejun Chen, Yu Zhang:
Physics-guided Residual Learning for Probabilistic Power Flow Analysis. - Chengyu Sun:
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption. - Xiangfeng Wang, Hongteng Xu, Moyi Yang:
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison. - Luke Munn, Liam Magee, Vanicka Arora:
Truth Machines: Synthesizing Veracity in AI Language Models. - Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Learning Optimal Features via Partial Invariance. - Zuobai Zhang, Minghao Xu, Aurélie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang:
Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction. - Zixun Lan, Zuo Zeng, Binjie Hong, Zhenfu Liu, Fei Ma:
RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning. - Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu, Youngsik Yun, Lia Coleman, Peter Schaldenbrand, Jihie Kim, Jean Oh:
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset. - Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. - Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao:
DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning. - Jude T. Anderson, David M. Williams, Andrew Corrigan:
Surface and hypersurface meshing techniques for space-time finite element methods. - Guoyang Xie, Jingbao Wang, Jiaqi Liu, Feng Zheng, Yaochu Jin:
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. - Wesley A. Suttle, Amrit Singh Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha:
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. - Matthew Mccloskey, Gabrielle Curcio, Amulya Badineni, Kevin Mcgrath, Dimitris Papamichail:
Automated Arrangements of Multi-Part Music for Sets of Monophonic Instruments. - Xinyu Zhou, Yang Li, Jun Zhao:
Resource Allocation of Federated Learning Assisted Mobile Augmented Reality System in the Metaverse. - Hao Lei, Zhe Wang, Huahua Xiao, Jiayi Zhang, Bo Ai:
Uplink Performance of Cell-Free Extremely Large-Scale MIMO Systems. - Yi Zhang:
Optimization and scheduling for a large scale urban transportation system in a fast-changing world. - Hong Chen, Terence D. Todd, Dongmei Zhao, George Karakostas:
Wireless and Service Allocation for Mobile Computation Offloading with Task Deadlines. - Alessio Ferrari, Paola Spoletini:
Strategies, Benefits and Challenges of App Store-inspired Requirements Elicitation. - Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Informational Diversity and Affinity Bias in Team Growth Dynamics. - Soodeh Atefi, Amutheezan Sivagnanam, Afiya Ayman, Jens Grossklags, Aron Laszka:
The Benefits of Vulnerability Discovery and Bug Bounty Programs: Case Studies of Chromium and Firefox. - Chenyi Wang, Huan Wang, Peiwen Pan:
Local Contrast and Global Contextual Information Make Infrared Small Object Salient Again. - Lu Zhang, Huaiqian You, Tian Gao, Mo Yu, Chung-Hao Lee, Yue Yu:
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics. - Hongyu Zhou, Xin Zhou, Zhiqi Shen:
Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. - Wenjie Xu, Colin N. Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty:
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints. - Chi Zhang, Wenjie Ruan, Peipei Xu:
Reachability Analysis of Neural Network Control Systems. - Weidong Cao, Hua Wang, Xuan Zhang:
Non-Hermitian Physics-Inspired Voltage-Controlled Oscillators with Resistive Tuning. - Yixuan Zhang, Shangtong Cao, Haoyu Wang, Zhenpeng Chen, Xiapu Luo, Dongliang Mu, Yun Ma, Gang Huang, Xuanzhe Liu:
Characterizing and Detecting WebAssembly Runtime Bugs. - Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. - Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu:
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. - Danqing Wang, Fei Ye, Hao Zhou:
On Pre-trained Language Models for Antibody. - Markus Hegland, Zbigniew Stachurski, Conrad J. Burden:
Computing expected moments of the Rényi parking problem on the circle. - Siddharth Nand, Yuecheng Cai:
Physics-informed Neural Network: The Effect of Reparameterization in Solving Differential Equations. - Jiaxi Zhang, Shenggen Zheng, Liwei Ni, Huawei Li, Guojie Luo:
Rethinking NPN Classification from Face and Point Characteristics of Boolean Functions. - Yuanxi Wu, Zhi Wu, Wei Gu, Zheng Xu, Shu Zheng, Qirun Sun:
Decentralized Energy Market Integrating Carbon Allowance Trade and Uncertainty Balance in Energy Communities. - Jing Zhang, Chi Zhang, Wenjia Wang, Bing-Yi Jing:
APAC: Authorized Probability-controlled Actor-Critic For Offline Reinforcement Learning. - Zeyuan Yang, Zonghan Yang, Peng Li, Yang Liu:
Restricted Orthogonal Gradient Projection for Continual Learning. - Han Zhou, Xingchen Wan, Ivan Vulic, Anna Korhonen:
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning. - Parth Parekh, Cedric McGuire, Jake Imyak:
Underwater Robotics Semantic Parser Assistant. - Yu Chen, Zihao Yu, Shu Song, Tianning Yu, Jianming Li, Gim Hee Lee:
AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion. - Tosin P. Adewumi, Isabella Södergren, Lama Alkhaled, Sana Sabah Sabry, Foteini Liwicki, Marcus Liwicki:
Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets. - Weikang Wang, Guanhua Chen, Hanqing Wang, Yue Han, Yun Chen:
Multilingual Sentence Transformer as A Multilingual Word Aligner. - Pu Cao, Lu Yang, Dongxu Liu, Zhiwei Liu, Shan Li, Qing Song:
What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion. - Zhong Zheng, Siqiang Wang, Zesong Fei, Zhi Sun, Jinhong Yuan:
On the Mutual Information of Multi-RIS Assisted MIMO: From Operator-Valued Free Probability Aspect. - Ryoji Tanabe, Ke Li:
Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis. - Jiawei Mao, Rui Xu, Xuesong Yin, Yuanqi Chang, Binling Nie, Aibin Huang:
POSTER V2: A simpler and stronger facial expression recognition network. - Jona Klemenc, Holger Trittenbach:
Selecting Models based on the Risk of Damage Caused by Adversarial Attacks. - Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin:
Layout-aware Webpage Quality Assessment. - Debayan Banerjee, Mathis Poser, Christina Wiethof, Varun Shankar Subramanian, Richard Paucar, Eva A. C. Bittner, Chris Biemann:
A system for Human-AI collaboration for Online Customer Support. - Ahmed Abbas, Paul Swoboda:
ClusterFuG: Clustering Fully connected Graphs by Multicut. - Sachin Kadam, Dong In Kim:
Knowledge-Aware Semantic Communication System Design. - Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets:
PROTES: Probabilistic Optimization with Tensor Sampling. - Jianqiang Wang, Dandan Ding, Hao Chen, Zhan Ma:
Dynamic Point Cloud Geometry Compression Using Multiscale Inter Conditional Coding. - Alberto Archetti, Eugenio Lomurno, Francesco Lattari, André Martin, Matteo Matteucci:
Heterogeneous Datasets for Federated Survival Analysis Simulation. - Wolfgang Konen:
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning. - Simone Sarti, Eugenio Lomurno, Matteo Matteucci:
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits. - Christoph Treude:
Navigating Complexity in Software Engineering: A Prototype for Comparing GPT-n Solutions. - Kwanyoung Kim, Yujin Oh, Jong Chul Ye:
ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts. - Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch, Manuele Rusci, Daniele Palossi, Luca Benini:
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones. - Yuzhen Qin, Li Sun, Hui Chen, Wei-Qiang Zhang, Wenming Yang, Jintao Fei, Guijin Wang:
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring. - Ying Wu, Chuangtao Chen, Weihua Xiao, Xuan Wang, Chenyi Wen, Jie Han, Xunzhao Yin, Weikang Qian, Cheng Zhuo:
A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits. - Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco:
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent. - William W. Howard, R. Michael Buehrer:
Hybrid Cognition for Target Tracking in Cognitive Radar Networks. - Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song:
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming. - Jiajun Ma, Tianyang Hu, Wenjia Wang:
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning. - Vignesh V. Menon:
Multi-resolution encoding and optimization for next generation video compression. - Pengyu Zhang, Yingbo Zhou, Ming Hu, Xin Fu, Xian Wei, Mingsong Chen:
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning. - Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin:
Does Federated Learning Really Need Backpropagation? - Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. - Francesco Basciani, Daniele Di Pompeo, Juri Di Rocco, Alfonso Pierantonio:
A customizable approach to assess software quality through Multi-Criteria Decision Making. - Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao:
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning. - Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck, Saswat Das, Christine Task:
Privacy and Bias Analysis of Disclosure Avoidance Systems. - Farshad Noravesh:
Semantic Tagging with LSTM-CRF. - Simon N. Chandler-Wilde, Raffael Hagger, Karl-Mikael Perfekt, Jani A. Virtanen:
On the spectrum of the double-layer operator on locally-dilation-invariant Lipschitz domains. - Shenghao Li, Jagmohan Chauhan:
who is snoring? snore based user recognition. - Tony Gracious, Arman Gupta, Ambedkar Dukkipati:
Neural Temporal Point Process for Forecasting Higher Order and Directional Interactions. - Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liskiewicz:
Efficient Enumeration of Markov Equivalent DAGs. - Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao:
The Domain of Attraction of the Desired Path in Vector-field Guided Path Following. - Laura Perez-Beltrachini, Parag Jain, Emilio Monti, Mirella Lapata:
Semantic Parsing for Conversational Question Answering over Knowledge Graphs. - Rongliang Chen, Youjun Deng, Yang Gao, Jingzhi Li, Hongyu Liu:
Locating multiple magnetized anomalies by geomagnetic monitoring. - Xin Wei, Lei Zhang, Jianwei Zhang, Junyou Wang, Wenjie Liu, Jiaqi Li, Xian Jiang:
Towards Accurate Acne Detection via Decoupled Sequential Detection Head. - Fadi Alharbi, Aleksandar Vakanski:
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review. - Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui:
Interactive Log Parsing via Light-weight User Feedbacks. - Xinyan Su, Zhiheng Zhang:
Causal Influence Maximization in Hypergraph. - Ke Chen, Chunmei Wang, Haizhao Yang:
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs. - Zhuangzhuang Cui, Abdul Saboor, Achiel Colpaert, Sofie Pollin:
Path Loss Analysis for Low-Altitude Air-to-Air Millimeter-Wave Channel in Built-Up Area. - Qiao Yuan, Sheng-Uei Guan, Pin Ni, Tianlun Luo, Ka Lok Man, Prudence W. H. Wong, Victor Chang:
Continual Graph Learning: A Survey. - Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat:
Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability. - Tyler Cultice, Himanshu Thapliyal:
Vulnerabilities and Attacks on CAN-Based 3D Printing/Additive Manufacturing. - Wenqi Zhu, Yuji Nakatsukasa:
Convergence and Near-optimal Sampling for Multivariate Function Approximations in Irregular Domains via Vandermonde with Arnoldi. - Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, Martin Wattenberg, Fernanda B. Viégas:
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook. - Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar:
Supervision Complexity and its Role in Knowledge Distillation. - Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song:
A Closer Look at Few-shot Classification Again. - Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting:
SEGA: Instructing Diffusion using Semantic Dimensions. - Lei Zhang, Kaixin Bai, Zhaopeng Chen, Yunlei Shi, Jianwei Zhang:
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning. - Gavin Brown, Samuel B. Hopkins, Adam D. Smith:
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions. - Luyu Jiang, Dantong Ouyang, Qi Zhang, Liming Zhang:
DeciLS-PBO: an Effective Local Search Method for Pseudo-Boolean Optimization. - Febin Sunny, Ebadollah Taheri, Mahdi Nikdast, Sudeep Pasricha:
Machine Learning Accelerators in 2.5D Chiplet Platforms with Silicon Photonics. - Ruoyu Zhao, Mingrui Zhu, Xiaoyu Wang, Nannan Wang:
Few-shot Face Image Translation via GAN Prior Distillation. - Evgeny S. Saveliev, Mihaela van der Schaar:
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine. - Mykyta Baliesnyi, Ardi Tampuu, Tambet Matiisen:
Controlling Steering with Energy-Based Models. - Muhammad Tanveer Jan, Sonia Moshfeghi, Joshua William Conniff, Jinwoo Jang, KwangSoo Yang, Jiannan Zhai, Monica Rosselli, David Newman, Ruth Tappen, Borko Furht:
Methods and Tools for Monitoring Driver's Behavior. - Aitazaz Ali Raja, Sergio Grammatico:
Bilateral Peer-to-Peer Energy Trading via Coalitional Games. - Nate Veldt:
Cut-matching Games for Generalized Hypergraph Ratio Cuts. - Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. - Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda, Tanmoy Chakraborty:
Node Injection for Class-specific Network Poisoning. - Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva:
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. - Aitazaz Ali Raja, Sergio Grammatico:
Online coalitional games for real-time payoff distribution with applications to energy markets. - Aayush Garg, Renzo Degiovanni, Facundo Molina, Mike Papadakis, Nazareno Aguirre, Maxime Cordy, Yves Le Traon:
Assertion Inferring Mutants. - Pritesh Patel, Sayan Basu Roy, Shubhendu Bhasin:
MRAC with Memory for Switched Linear Systems. - My H. Dinh, Ferdinando Fioretto:
Context-Aware Differential Privacy for Language Modeling. - Zhaoyang Chen, Lina Siltala-Li, Mikko Lassila, Pekka Malo, Eeva Vilkkumaa, Tarja Saaresranta, Arho Veli Virkki:
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer. - Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec:
Zero-shot causal learning. - Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik, Jian Wu, C. Lee Giles:
ACL-Fig: A Dataset for Scientific Figure Classification. - Aadil Gani Ganie:
Presence of informal language, such as emoticons, hashtags, and slang, impact the performance of sentiment analysis models on social media text? - Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh:
Composing Task Knowledge with Modular Successor Feature Approximators. - Potsawee Manakul, Adian Liusie, Mark J. F. Gales:
MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization. - Matteo Gamba, Hossein Azizpour, Mårten Björkman:
On the Lipschitz Constant of Deep Networks and Double Descent. - Yichen Yang, Jingtao Li, Nishil Talati, Subhankar Pal, Siying Feng, Chaitali Chakrabarti, Trevor N. Mudge, Ronald G. Dreslinski:
Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect Prefetcher. - Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein:
Adapting Neural Link Predictors for Complex Query Answering. - Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi:
Progressive Prompts: Continual Learning for Language Models. - Akshay Mathur, Ella M. Atkins:
Wind Tunnel Testing and Aerodynamic Characterization of a QuadPlane Uncrewed Aircraft System. - Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, XiaoFeng Wang, Haixu Tang:
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering. - Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song:
Neural Relation Graph for Identifying Problematic Data. - Chad Mello, Troy Weingart, Ethan M. Rudd:
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface. - Yiqiao Xu, Xiaoyu Guo, Zhen Dong, Zhengtao Ding, Alessandra Parisio:
Data-Driven Load-Current Sharing Control for Multi-Stack Fuel Cell System with Circulating Current Mitigation. - Xuan Lu, Wei Ai, Yixin Wang, Qiaozhu Mei:
Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic. - Navjot Kaur, Paige Tuttosi:
Time out of Mind: Generating Rate of Speech conditioned on emotion and speaker. - Peng Qiao, Sidun Liu, Tao Sun, Ke Yang, Yong Dou:
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration. - Shahinul Hoque, Farhin Farhad Riya, Jinyuan Sun:
Deep Learning model integrity checking mechanism using watermarking technique. - Soobin Um, Jong Chul Ye:
Don't Play Favorites: Minority Guidance for Diffusion Models. - Ni Yao, Yanhui Tian, Daniel Gama das Neves, Chen Zhao, Cláudio Tinoco Mesquita, Wolney de Andrade Martins, Alair Augusto Sarmet Moreira Damas dos Santos, Yanting Li, Chuang Han, Fubao Zhu, Neng Dai, Weihua Zhou:
A novel method using machine learning to integrate features from lung and epicardial adipose tissue for detecting the severity of COVID-19 infection. - Xian Shi, Yanni Chen, Shiliang Zhang, Zhijie Yan:
Achieving Timestamp Prediction While Recognizing with Non-Autoregressive End-to-End ASR Model. - Xuchen Liu, Minghao Dou, Dongyue Huang, Biao Wang, Qinyuan Ren, Jinqiang Cui, Lihua Dou, Ben M. Chen:
Mirs-X: Design and Implementation of an Aerial-Aquatic Quadrotor with Tiltable Propulsion Units. - Tsvetelina Hristova, Liam Magee, Emma Kearney:
Academic Institutions in Multilateral Data Governance: Emerging Arrangements for Negotiating Risk, Value and Ethics in the Big Data Economy. - Kaifa Zhao, Xian Zhan, Le Yu, Shiyao Zhou, Hao Zhou, Xiapu Luo, Haoyu Wang, Yepang Liu:
Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps. - Jiazheng Zhang, Bang Wang:
Encoding Node Diffusion Competence and Role Significance for Network Dismantling. - Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu, Kun Zhang:
On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. - Jialin Yuan, Jay Patravali, Hung Nguyen, Chanho Kim, Fuxin Li:
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation. - Shijun Zhang, Jianfeng Lu, Hongkai Zhao:
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network. - Christopher J. Tralie:
Artistic Curve Steganography Carried by Musical Audio. - Jianhang Zhu, Rongpeng Li, Xianfu Chen, Shiwen Mao, Jianjun Wu, Zhifeng Zhao:
Semantics-enhanced Temporal Graph Networks for Content Caching and Energy Saving. - Guobin Shen, Dongcheng Zhao, Yi Zeng:
Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns. - Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong:
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. - Mengxi Wu, Mohammad Rostami:
Unsupervised Domain Adaptation for Graph-Structured Data Using Class-Conditional Distribution Alignment. - Wenbin Zhang, Jeremy C. Weiss:
Fair Decision-making Under Uncertainty. - Su Jia, Qian Xie, Nathan Kallus, Peter I. Frazier:
Smooth Non-Stationary Bandits. - Serban Stan, Mohammad Rostami:
Preserving Fairness in AI under Domain Shift. - Ajay Jasra, Mohamed Maama, Hernando Ombao:
Antithetic Multilevel Particle Filters. - Xinnian Liang, Shuangzhi Wu, Chenhao Cui, Jiaqi Bai, Chao Bian, Zhoujun Li:
Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality. - Setu Kumar Basak, Lorenzo Neil, Bradley Reaves, Laurie A. Williams:
What Challenges Do Developers Face About Checked-in Secrets in Software Artifacts? - Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li:
Towards Inference Efficient Deep Ensemble Learning. - Yongxin Guo, Xiaoying Tang, Tao Lin:
FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts. - Aleksandar Haber, Michael Krainak:
Data-driven Estimation, Tracking, and System Identification of Deterministic and Stochastic Optical Spot Dynamics. - Maolin Yang, Pingyu Jiang, Tianshuo Zang, Yuhao Liu:
Data-driven intelligent computational design: Method, techniques, and applications. - Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar:
Learning to reject meets OOD detection: Are all abstentions created equal? - Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song:
On Learning Necessary and Sufficient Causal Graphs. - Subhajit Sahu:
Enhancing Efficiency in Parallel Louvain Algorithm for Community Detection. - Stepán Simsa, Milan Sulc, Matyás Skalický, Yash Patel, Ahmed Hamdi:
DocILE 2023 Teaser: Document Information Localization and Extraction. - Jaeyoung Choi, Wooseok Sim:
Permanence based Hidden Community and Graph Recovery in Social Networks. - Hang Su, Borislav Dzodzo, Changlun Li, Danyang Zhao, Hao Geng, Yunxiang Li, Sidharth Jaggi, Helen Meng:
Learning Analytics from Spoken Discussion Dialogs in Flipped Classroom. - Bolin Zhang, Yunzhe Xu, Zhiying Tu, Dianhui Chu:
HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots. - Efthymios N. Karatzas, Giovanni Stabile, Francesco Ballarin, Gianluigi Rozza:
Reduced Basis, Embedded Methods and Parametrized Levelset Geometry. - Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Decision-Making Context Interaction Network for Click-Through Rate Prediction. - Renzo Degiovanni, Facundo Molina, Agustín Nolasco, Nazareno Aguirre, Mike Papadakis:
Specification Inference for Evolving Systems. - Tom de Jong:
Domain Theory in Constructive and Predicative Univalent Foundations. - Lin Wang, Zhichao Wang, Xiaoying Tang:
FedEBA+: Towards Fair and Effective Federated Learning via Entropy-Based Model. - Vahan Arsenyan, Antoine Grosnit, Haitham Bou-Ammar:
Contextual Causal Bayesian Optimisation. - Xiaomei Zhang, Xiangyu Zhu, Ming Tang, Zhen Lei:
Deep Learning for Human Parsing: A Survey. - Christopher Lohse, Jeroen Lemsom, Athanasios Kalogiratos:
Syrupy Mouthfeel and Hints of Chocolate - Predicting Coffee Review Scores using Text Based Sentiment. - Wasilij Barsukow:
All-speed numerical methods for the Euler equations via a sequential explicit time integration. - Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang:
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization. - Yi Cheng, Dongyun Lin, Fen Fang, Hao Xuan Woon, Qianli Xu, Ying Sun:
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022. - Qiong Wu, Jiahan Li, Pingyang Dai, Qixiang Ye, Liujuan Cao, Yongjian Wu, Rongrong Ji:
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning. - Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee:
Pipe-BD: Pipelined Parallel Blockwise Distillation. - Kyuhong Shim, Jungwook Choi, Wonyong Sung:
Exploring Attention Map Reuse for Efficient Transformer Neural Networks. - Quanjun Zhang, Chunrong Fang, Weisong Sun, Yan Liu, Tieke He, Xiaodong Hao, Zhenyu Chen:
Boosting Automated Patch Correctness Prediction via Pre-trained Language Model. - Abzetdin Z. Adamov:
Large-scale Data Modelling in Hive and Distributed Query Processing using MapReduce and Tez. - Fu Wang, Peipei Xu, Wenjie Ruan, Xiaowei Huang:
Towards Verifying the Geometric Robustness of Large-scale Neural Networks. - Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. - Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao:
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. - Xiaoqi Zhuang:
The Influences of Color and Shape Features in Visual Contrastive Learning. - Nicolas Lanzetti, Efe C. Balta, Dominic Liao-McPherson, Florian Dörfler:
Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance. - Aadityan Ganesh, Jason D. Hartline:
Combinatorial Pen Testing (or Consumer Surplus of Deferred-Acceptance Auctions). - Shreekanth M. Prabhu, Abhisek Midye:
Linguistic Analysis using Paninian System of Sounds and Finite State Machines. - Julio Hurtado, Dario Salvati, Rudy Semola, Mattia Bosio, Vincenzo Lomonaco:
Continual Learning for Predictive Maintenance: Overview and Challenges. - Isaac Osei Agyemang, Isaac Adjei Mensah, Sophyani Banaamwini Yussif, Linda Delali Fiasam, Bernard Cobbinah Mawuli, Bless Lord Y. Agbley, Collins Sey, Joshua Berkohd:
Gesture Control of Micro-drone: A Lightweight-Net with Domain Randomization and Trajectory Generators. - (Withdrawn) Maximising Weather Forecasting Accuracy through the Utilisation of Graph Neural Networks and Dynamic GNNs.
- Vahan Arsenyan, Davit Shahnazaryan:
Large Language Models for Biomedical Causal Graph Construction. - Hong-lin Liao, Nan Liu, Pin Lyu:
Discrete gradient structure of a second-order variable-step method for nonlinear integro-differential models. - Sam van Gool, Paul-André Melliès, Vincent Moreau:
Profinite lambda-terms and parametricity. - Zhenjie Zhao, Hang Yu, Hang Wu, Xuebo Zhang:
6-DoF Robotic Grasping with Transformer. - Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan:
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. - Guosong Yang, Daniel Liberzon, João P. Hespanha:
Topological entropy of switched nonlinear and interconnected systems. - Farhin Farhad Riya, Shahinul Hoque, Jinyuan Stella Sun, Jiangnan Li:
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid. - Omar Qasem, Madhur Tiwari, Hector Gutierrez:
Autonomous Satellite Docking via Adaptive Optimal Output Rregulation: A Reinforcement Learning Approach. - Dan Bennett, Oussama Metatla, Anne Roudaut, Elisa D. Mekler:
How does HCI Understand Human Autonomy and Agency? - Ahmet Sarigün:
Graph Mixer Networks. - Mojtaba A. Farahani, M. R. McCormick, Robert Gianinny, Frank Hudacheck, Ramy F. Harik, Zhichao Liu, Thorsten Wuest:
Time-Series Pattern Recognition in Smart Manufacturing Systems: A Literature Review and Ontology. - Jaimandeep Singh, Naveen Kumar Chaudhary:
Unified Singular Protocol Flow for OAuth (USPFO) Ecosystem. - Sanda-Maria Avram:
BERT-based Authorship Attribution on the Romanian Dataset called ROST. - Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang, Mark D. Plumbley:
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models. - Ruizhe Zhang, Qingyao Ai, Yueyue Wu, Yixiao Ma, Yiqun Liu:
Diverse legal case search. - Theodore R. Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta:
Distilling Internet-Scale Vision-Language Models into Embodied Agents. - Bushra Amjad, Muhammad Zeeshan, Mirza Omer Beg:
EMP-EVAL: A Framework for Measuring Empathy in Open Domain Dialogues. - Yangguang Li, Bin Huang, Zeren Chen, Yufeng Cui, Feng Liang, Mingzhu Shen, Fenggang Liu, Enze Xie, Lu Sheng, Wanli Ouyang, Jing Shao:
Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline. - Ratanond Koonchanok, Gauri Yatindra Tawde, Gokul Ragunandhan Narayanasamy, Shalmali Walimbe, Khairi Reda:
Visual Belief Elicitation Reduces the Incidence of False Discovery. - Jin Fang, Dingfu Zhou, Jingjing Zhao, Chulin Tang, Cheng-Zhong Xu, Liangjun Zhang:
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection. - (Withdrawn) 3D Object Detection in LiDAR Point Clouds using Graph Neural Networks.
- Abhijit Mahabal, Jiyun Luo, Rui Huang, Michael Ellsworth, Rui Li:
Producing Usable Taxonomies Cheaply and Rapidly at Pinterest Using Discovered Dynamic μ-Topics. - Soroush Hashemifar, Amir Rajabzadeh:
HPCDF: Optimal Service Provisioning in IoT Fog-based Environment for QoS-aware Delay-sensitive Application. - Ousmane Ndiaye, Peter Arnaud Kidoudou, Hervé Talé Kalachi:
Rank Generalized Subsapce subcode. - Martin E. Malandro:
Composer's Assistant: Interactive Transformers for Multi-Track MIDI Infilling. - Vamoua Yachongka, Hideki Yagi, Hideki Ochiai:
The Secure CEO Problem With Physical Identifiers Under Logarithmic Loss and Quadratic Distortion Measures. - Ali Borji:
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification. - Yuhao Liu, Marzieh Ajirak, Petar M. Djuric:
Sequential Estimation of Gaussian Process-based Deep State-Space Models. - Andrew Gold, Johan Pouwelse:
G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P Network. - Tarun Chitra, Matheus V. X. Ferreira, Kshitij Kulkarni:
Credible, Optimal Auctions via Blockchains. - Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh:
Vicarious Offense and Noise Audit of Offensive Speech Classifiers. - Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer:
Concurrent Shuffle Differential Privacy Under Continual Observation. - Szabolcs Szentpéteri, Balázs Csanád Csáji:
Non-Asymptotic State-Space Identification of Closed-Loop Stochastic Linear Systems using Instrumental Variables. - Christian Moya, Guang Lin, Tianqiao Zhao, Meng Yue:
On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators. - Ali Ghanbarzade, Hossein Soleimani:
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing. - Dimitra Tsigkari, George Iosifidis, Thrasyvoulos Spyropoulos:
Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations. - Cynthia Zeng, Dimitris Bertsimas:
Global Flood Prediction: a Multimodal Machine Learning Approach. - Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson:
Scaling in Depth: Unlocking Robustness Certification on ImageNet. - Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi:
Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing. - Beniamino Accattoli, Ugo Dal Lago, Gabriele Vanoni:
A Log-Sensitive Encoding of Turing Machines in the λ-Calculus. - Shiva Ketabi, Hongkai Chen, Haiwei Dong, Yashar Ganjali:
A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers. - Fazl Barez, Paul Bilokon, Ruijie Xiong:
Benchmarking Specialized Databases for High-frequency Data. - Paul Louis, Shweta Ann Jacob, Amirali Salehi-Abari:
Simplifying Subgraph Representation Learning for Scalable Link Prediction. - Abu Reyan Ahmed, Keaton Hamm, Stephen G. Kobourov, Mohammad Javad Latifi Jebelli, Faryad Darabi Sahneh, Richard Spence:
Multi-Priority Graph Sparsification. - Kyle Mahowald:
A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun Construction. - Zhiqi Huang, Puxuan Yu, James Allan:
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation. - Jinghong Chen, Weizhe Lin, Bill Byrne:
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation. - Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati:
A Mental Model Based Theory of Trust. - Hyunwook Kang, P. R. Kumar:
Recommender system as an exploration coordinator: a bounded O(1) regret algorithm for large platforms. - Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal:
Uncovering Adversarial Risks of Test-Time Adaptation. - Efthymios N. Karatzas:
hp-version analysis for arbitrarily shaped elements on the boundary discontinuous Galerkin method for Stokes systems. - Dong Yin, Sridhar Thiagarajan, Nevena Lazic, Nived Rajaraman, Botao Hao, Csaba Szepesvári:
Sample Efficient Deep Reinforcement Learning via Local Planning. - Michal J. Gajda:
Data accounting and error counting. - Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Laura Grigori, Aydin Buluç, James Demmel:
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition. - Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica:
Unifying Molecular and Textual Representations via Multi-task Language Modelling. - Samarth Brahmbhatt, Ankur Deka, Andrew Spielberg, Matthias Müller:
Zero-Shot Transfer of Haptics-Based Object Insertion Policies. - Shuang Ao, Stefan Rueger, Advaith Siddharthan:
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning. - Panagiotis Kourtesis, Josie Linnell, Rayaan Amir, Ferran Argelaguet, Sarah E. MacPherson:
Cybersickness in Virtual Reality Questionnaire (CSQ-VR): A Validation and Comparison against SSQ and VRSQ. - Ross Greer, Lulua Rakla, Akshay Gopalkrishnan, Mohan M. Trivedi:
Multi-View Ensemble Learning With Missing Data: Computational Framework and Evaluations using Novel Data from the Safe Autonomous Driving Domain. - James Queeney, Mouhacine Benosman:
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning. - Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin:
A theory of continuous generative flow networks. - Yuzhe Ma, Zhijin Zhou:
Adversarial Attacks on Adversarial Bandits. - Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi:
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. - Zhong Liu, Feng Xi, Shengyao Chen:
Time Encoding Sampling of Bandpass Signals. - Wenhao Xu, Xuefeng Gao, Xuedong He:
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents. - Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Do We Really Need Graph Neural Networks for Traffic Forecasting? - Saúl E. Buitrago Boret, Roger Martinez-Rivas, Josefina Florez-Diaz, Rodrigo Mijares-Seminario, Elena Rincón:
Using cluster analysis on municipal statistical data to configure public policies about Water, Sanitation and Hygiene in Venezuela. - Maryam Khalid:
Traffic Prediction in Cellular Networks using Graph Neural Networks. - Yimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad:
Evaluating Neuron Interpretation Methods of NLP Models. - Md. Arafat Sultan:
Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy? - Chenhan Cao, Xiaoyu Fang, Bingqing Luo, Bin Xia:
SSR-TA: Sequence to Sequence based expert recurrent recommendation for ticket automation. - Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li:
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio. - Gunnar A. Sigurdsson, Jesse Thomason, Gaurav S. Sukhatme, Robinson Piramuthu:
RREx-BoT: Remote Referring Expressions with a Bag of Tricks. - Weizhi Li, Karthikeyan Natesan Ramamurthy, Prad Kadambi, Pouria Saidi, Gautam Dasarathy, Visar Berisha:
Active Sequential Two-Sample Testing. - Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation. - Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long:
ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. - Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. - Yan Li, Chang Zhang, Jie Li, Wei Song, Zhenlian Qi, Youxi Wu, Xindong Wu:
Maximal co-occurrence nonoverlapping sequential rule mining. - Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. - Samantha Mora, Nicola M. Pugno, Diego Misseroni:
3D printed architected lattice structures by material jetting. - Abubakar Siddique, Will N. Browne, Gina M. Grimshaw:
Lateralized Learning for Multi-Class Visual Classification Tasks. - Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao:
Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. - Jonathan Dunn:
Exploring the Constructicon: Linguistic Analysis of a Computational CxG. - Yabin Zhang, Bin Deng, Ruihuang Li, Kui Jia, Lei Zhang:
Adversarial Style Augmentation for Domain Generalization. - Yizhen Chen, Jie Wang, Lijian Lin, Zhongang Qi, Jin Ma, Ying Shan:
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval. - Xiaoyang Zheng, Zilong Wang, Sen Li, Ke Xu, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng:
MAKE: Product Retrieval with Vision-Language Pre-training in Taobao Search. - L. Mars Gao, Urban Fasel, Steven L. Brunton, J. Nathan Kutz:
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery. - Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
REPLUG: Retrieval-Augmented Black-Box Language Models. - Qishen Han, Biaoshuai Tao, Lirong Xia:
Average Envy-freeness for Indivisible Items. - Jan Verschelde:
GPU Accelerated Newton for Taylor Series Solutions of Polynomial Homotopies in Multiple Double Precision. - Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai:
Zero-shot Clarifying Question Generation for Conversational Search. - Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao:
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models. - Chris Donahue, Antoine Caillon, Adam Roberts, Ethan Manilow, Philippe Esling, Andrea Agostinelli, Mauro Verzetti, Ian Simon, Olivier Pietquin, Neil Zeghidour, Jesse H. Engel:
SingSong: Generating musical accompaniments from singing. - Eitan Frachtenberg:
Citation Analysis of Computer Systems Papers. - Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long:
Solving High-Dimensional PDEs with Latent Spectral Models. - Parth Padalkar, Huaduo Wang, Gopal Gupta:
NeSyFOLD: A System for Generating Logic-based Explanations from Convolutional Neural Networks. - Pouya Shati, Eldan Cohen, Sheila A. McIlraith:
Optimal Decision Trees For Interpretable Clustering with Constraints. - Minwei Shi, Kai Yang, Dusit Niyato, Hang Yuan, He Zhou, Zhan Xu:
The Meta Distribution of SINR in UAV-Assisted Cellular Networks. - Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe:
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. - Mohimenul Kabir, Jaiaid Mobin, Ahmad B. A. Hassanat, M. Sohel Rahman:
Image Contrast Enhancement using Fuzzy Technique with Parameter Determination using Metaheuristics. - Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Distributed Matrix Computations with Low-weight Encodings. - Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon:
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration. - Franklin Mingzhe Li, Lotus Zhang, Maryam Bandukda, Abigale Stangl, Kristen Shinohara, Leah Findlater, Patrick Carrington:
Understanding Visual Arts Experiences of Blind People. - Anyi Rao, Xuekun Jiang, Yuwei Guo, Linning Xu, Lei Yang, Libiao Jin, Dahua Lin, Bo Dai:
Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production. - Dong-Guw Lee, Myung-Hwan Jeon, Younggun Cho, Ayoung Kim:
Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labels. - Tomoaki Okayama:
Sinc-collocation methods with consistent collocation points for Fredholm integral equations of the second kind. - Jiahao He, Shuangyin Li, Xinming Wang, Shing-Chi Cheung, Gansen Zhao, Jinji Yang:
Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode. - Penghao Jiang, Ke Xin, Zifeng Wang, Chunxi Li:
Robust Meta Learning for Image based tasks. - Zhanglin Wu, Min Zhang, Ming Zhu, Yinglu Li, Ting Zhu, Hao Yang, Song Peng, Ying Qin:
KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation. - Xintao Chu, Jianping Liu, Jian Wang, Yingfei Wang, Meng Wang, Xunxun Gu:
CSDR-BERT: a pre-trained scientific dataset match model for Chinese Scientific Dataset Retrieval. - Vaishnavi Gujjula, Sivaram Ambikasaran:
Algebraic Inverse Fast Multipole Method: A fast direct solver that is better than HODLR based fast direct solver. - E. S. Romanova, A. K. Novokhrestov, A. A. Konev:
Typing of data transfer processes in the information system within the framework of threat modeling. - Maksud Sharipov, Elmurod Kuriyozov, Ollabergan Yuldashov, Ogabek Sobirov:
UzbekTagger: The rule-based POS tagger for Uzbek language. - Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao:
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning. - Sishuo Chen, Wenkai Yang, Xiaohan Bi, Xu Sun:
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features. - Marvin Klimke, Benjamin Völz, Michael Buchholz:
Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks. - Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li:
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. - Manon Blanc, Olivier Bournez:
Measuring robustness of dynamical systems. Relating time and space to length and precision. - Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot:
Specializing Smaller Language Models towards Multi-Step Reasoning. - Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. - Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets:
General Covariance Data Augmentation for Neural PDE Solvers. - Xinwei Shen, Qiuwei Wu, Hongcai Zhang, Liming Wang:
Optimal Planning for Electrical Collector System of Offshore Wind Farm with Double-sided Ring Topology. - Viktor Bengs, Eyke Hüllermeier, Willem Waegeman:
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification. - Yuan Zhou, Gengjie Lin, Yun Tang, Kairui Yang, Wei Jing, Ping Zhang, Junbo Chen, Liang Gong, Yang Liu:
FLYOVER: A Model-Driven Method to Generate Diverse Highway Interchanges for Autonomous Vehicle Testing. - Xuan Xia, Weijie Lv, Xing He, Chuanqi Liu, Ning Ding:
FractalAD: A simple industrial anomaly segmentation method using fractal anomaly generation and backbone knowledge distillation. - D. S. Belyakov, E. O. Kalinin, A. A. Konev, Alexander A. Shelupanov, A. K. Novokhrestov:
Life cycle models and security threats to a microcircuit during its development and operation. - Xin Li, Mingqiang Wei, Songcan Chen:
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information. - Nian-Ci Wu, Yang Zhou, Zhaolu Tian:
On the relaxed greedy randomized Kaczmarz methods with momentum acceleration for solving matrix equation AXB=C. - Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad:
Private Node Selection in Personalized Decentralized Learning. - Riccardo Zanella, Gianluca Palli, Stefano Stramigioli, Federico Califano:
Passivizing learned policies and learning passive policies with virtual energy tanks in robotics. - Luca Bedogni, Federico Chiariotti:
A Web of Things Architecture for Digital Twin Creation and Model-Based Reinforcement Control. - Panyu Zhai, Yanwu Yang, Chunjie Zhang:
Causality-based CTR Prediction using Graph Neural Networks. - Pavlo Mykytyn, Marcin Brzozowski, Zoya Dyka, Peter Langendoerfer:
GPS-Spoofing Attack Detection Mechanism for UAV Swarms. - Marco C. Campi, Simone Garatti:
Compression, Generalization and Learning. - Beckett LeClair:
Threat Modelling in Virtual Assistant Hub Devices Compared With User Risk Perceptions (2021). - Bahareh Tasdighi, Abdullah Akgül, Kenny Kazimirzak Brink, Melih Kandemir:
PAC-Bayesian Soft Actor-Critic Learning. - Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones:
A Comprehensive Investigation of Feature and Model Importance in Android Malware Detection. - Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron:
Equivariant Architectures for Learning in Deep Weight Spaces. - Julien Baste:
The Leafed Induced Subtree in chordal and bounded treewidth graphs. - Serge Kernbach:
On mesoscale thermal dynamics of para- and ortho- isomers of water. - Malte Splietker, Sven Behnke:
Rendering the Directional TSDF for Tracking and Multi-Sensor Registration with Point-To-Plane Scale ICP. - Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu:
TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. - Supratim Gupta:
Eye Image-based Algorithms to Estimate Percentage Closure of Eye and Saccadic Ratio for Alertness Detection. - Marcus Carpenter, Chunbo Luo:
Behavioural Reports of Multi-Stage Malware. - Anh L. Mai, Nikunj Gupta, Azza Abouzied, Dennis E. Shasha:
Planning Multiple Epidemic Interventions with Reinforcement Learning. - Yang Cao, Ziyang Zhang, Xinjiang Xia, Pengzhe Xin, Dongjie Liu, Kang Zheng, Mengting Lou, Jing Jin, Qixing Wang, Dongming Wang, Yongming Huang, Xiaohu You, Jiangzhou Wang:
From ORAN to Cell-Free RAN: Architecture, Performance Analysis, Testbeds and Trials. - Alexandru Petrescu, Ciprian-Octavian Truica, Elena Simona Apostol, Adrian Paschke:
EDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture. - Kris Nikov, Kyriakos Georgiou, Zbigniew Chamski, Kerstin Eder, José L. Núñez-Yáñez:
Accurate Energy Modelling on the Cortex-M0 Processor for Profiling and Static Analysis. - Juyoung Yun, Byungkon Kang, Zhoulai Fu:
The Hidden Power of Pure 16-bit Floating-Point Neural Networks. - Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson:
Crawling the Internal Knowledge-Base of Language Models. - Yuhta Takida, Masaaki Imaizumi, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji:
Adversarially Slicing Generative Networks: Discriminator Slices Feature for One-Dimensional Optimal Transport. - Bruno Mazorra, Nicolás Della Penna:
The Cost of Sybils, Credible Commitments, and False-Name Proof Mechanisms. - Conor McMenamin, Vanesa Daza:
Dynamic, Private, Anonymous, Collateralizable Commitments vs. MEV. - Hélène Plisnier, Denis Steckelmacher, Jeroen Willems, Bruno Depraetere, Ann Nowé:
Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem. - Carson L. May, Arthur K. Barnes, Jose E. Tabarez, Adam Mate, Eric M. Nelson, Ross T. Guttromson:
Measuring and Analyzing Effects of HEMP Simulation on Synthetic Power Grids. - Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin:
Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration. - Slavomira Schneidereit, Ashkan Mansouri Yarahmadi, Toni Schneidereit, Michael Breuß, Marc Gebauer:
YOLO-based Object Detection in Industry 4.0 Fischertechnik Model Environment. - Kentaroh Toyoda, Rachel Gan Kai Ying, Allan NengSheng Zhang, Puay Siew Tan:
Identifying the Key Attributes in an Unlabeled Event Log for Automated Process Discovery. - Timo Koch, Dennis Gläser, Anett Seeland, Sarbani Roy, Katharina Schulze, Kilian Weishaupt, David Boehringer, Sibylle Hermann, Bernd Flemisch:
A sustainable infrastructure concept for improved accessibility, reusability, and archival of research software. - Chenqi Kong, Kexin Zheng, Yibing Liu, Shiqi Wang, Anderson Rocha, Haoliang Li:
M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System. - Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön:
Deep networks for system identification: a Survey. - Xinhao Li, Tao Wang, Haonan Tong, Zhaohui Yang, Yijie Mao, Changchuan Yin:
Sum-Rate Maximization for Active RIS-Aided Downlink RSMA System. - Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song:
Designing an offline reinforcement learning objective from scratch. - Tobias Bühler, Alexandros Milolidakis, Romain Jacob, Marco Chiesa, Stefano Vissicchio, Laurent Vanbever:
Oscilloscope: Detecting BGP Hijacks in the Data Plane. - Juliusz Ziomek, Haitham Bou-Ammar:
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? - Antoine Louis, Gijs van Dijck, Gerasimos Spanakis:
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks. - Xiaolei Lian, Xunzhu Tang, Yue Wang:
GE-Blender: Graph-Based Knowledge Enhancement for Blender. - Lukás Holík, Juraj Síc, Lenka Turonová, Tomás Vojnar:
Fast Matching of Regular Patterns with Synchronizing Counting (Technical Report). - Jan de Muijnck-Hughes, Guillaume Allais, Edwin C. Brady:
Type Theory as a Language Workbench. - Martin Goller, Sven Tomforde:
A Quantification Approach for Transferability in Lifelike Computing Systems. - Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders:
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification. - Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou:
Massively Scaling Heteroscedastic Classifiers. - Cem Suulker, Sophie Skach, Danyaal Kaleel, Taqi Abrar, Zain Murtaza, Dilara Suulker, Kaspar Althoefer:
Soft Cap for Eversion Robots. - Alexandra Lassota, Alexander Lindermayr, Nicole Megow, Jens Schlöter:
Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints. - Yaodan Xu, Jingzhou Sun, Sheng Zhou, Zhisheng Niu:
SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms. - Rui Lv, Junliang Guo, Rui Wang, Xu Tan, Qi Liu, Tao Qin:
N-Gram Nearest Neighbor Machine Translation. - Terry Yue Zhuo, Yujin Huang, Chunyang Chen, Zhenchang Xing:
Exploring AI Ethics of ChatGPT: A Diagnostic Analysis. - Terry Yue Zhuo, Zhuang Li, Yujin Huang, Yuan-Fang Li, Weiqing Wang, Gholamreza Haffari, Fatemeh Shiri:
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex. - Hugo Lerogeron, Romain Picot-Clémente, Alain Rakotomamonjy, Laurent Heutte:
Approximating DTW with a convolutional neural network on EEG data. - Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Extremal Domain Translation with Neural Optimal Transport. - Deyao Zhu, Yuhui Wang, Jürgen Schmidhuber, Mohamed Elhoseiny:
Guiding Online Reinforcement Learning with Action-Free Offline Pretraining. - Matthew Olckers, Toby Walsh:
Incentives to Offer Algorithmic Recourse. - Xiaolong Xu, Lingjuan Lyu, Yihong Dong, Yicheng Lu, Weiqiang Wang, Hong Jin:
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention. - Max Schrader, Navish Kumar, Nicolas Collignon, Esben Sørig, Soonmyeong Yoon, Akash Srivastava, Kai Xu, Maria Sinziana Astefanoaei:
Modelling the performance of delivery vehicles across urban micro-regions to accelerate the transition to cargo-bike logistics. - Junyong You, Yuan Lin, Jari Korhonen:
Half of an image is enough for quality assessment. - Andrei Aleksandrov, Kim Völlinger:
Formalizing Piecewise Affine Activation Functions of Neural Networks in Coq. - Wansheng Wang, Jie Wang, Jinping Li, Feifei Gao, Yi Fu:
Deep learning numerical methods for high-dimensional fully nonlinear PIDEs and coupled FBSDEs with jumps. - Vyas Raina, Mark J. F. Gales:
Identifying Adversarially Attackable and Robust Samples. - Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. - (Withdrawn) Simulating the Integration of Urban Air Mobility into Existing Transportation Systems: A Survey.
- Ashkan Mansouri Yarahmadi, Michael Breuß, Carsten Hartmann:
Long Short-Term Memory Neural Network for Temperature Prediction in Laser Powder Bed Additive Manufacturing. - Jordan Mabboux, Scott Delbecq, Valerie Pommier-Budinger, Joël Bordeneuve-Guibé, Ana Truc-Hermel, Jean-Marie Kai:
A bi-level co-design approach for multicopters. - Joshua Southern, Jeremy Wayland, Michael M. Bronstein, Bastian Rieck:
Curvature Filtrations for Graph Generative Model Evaluation. - Soura Sana, Bankim C. Mandal:
Dirichlet-Neumann Waveform Relaxation Algorithm for Time Fractional Diffusion Equation in Heterogeneous Media. - Roy Overbeek, Jörg Endrullis:
A PBPO+ Graph Rewriting Tutorial. 45-63 - Léonard Brice, Jean-François Raskin, Marie van den Bogaard:
Rational verification and checking for Nash and subgame-perfect equilibria in graph games. - Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. - Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi:
Transition-Aware Multi-Activity Knowledge Tracing. - Zhuang Li, Gholamreza Haffari:
Active Learning for Multilingual Semantic Parser. - Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar:
On student-teacher deviations in distillation: does it pay to disobey? - Clarissa Astuto, Daniele Boffi, Jan Haskovec, Peter A. Markowich, Giovanni Russo:
Asymmetry and condition number of an elliptic-parabolic system for biological network formation. - Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Toyotaro Suzumura, Manish Singh:
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? - Xiangyu Sun, Oliver Schulte:
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing. - Ziliang Miao, Buwei He, Wenya Xie, Wenquan Zhao, Xiao Huang, Jian Bai, Xiaoping Hong:
Coarse-to-fine Hybrid 3D Mapping System with Co-calibrated Omnidirectional Camera and Non-repetitive LiDAR. - Shengmeng Li, Luping Liu, Zenghao Chai, Runnan Li, Xu Tan:
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models. - Yan Dai, Haipeng Luo, Chen-Yu Wei, Julian Zimmert:
Refined Regret for Adversarial MDPs with Linear Function Approximation. - Nikhil S. Narayan, Shashanka B. R., Rohit Damodaran, Chandrashekhar Jayaram, M. A. Kareem, Mamta P., Saravanan K. R., Monu Krishnan, Raja Indana:
Factors that affect Camera based Self-Monitoring of Vitals in the Wild. - Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-Yi Lee, Shao-Hua Sun:
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs. - He Zhang, Xingliang Yuan, Quoc Viet Hung Nguyen, Shirui Pan:
On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks. - Christiaan Verwijs, Daniel Russo:
The Double-Edged Sword of Diversity: How Diversity, Conflict, and Psychological Safety Impact Agile Software Teams. - Xuyang Li, Guangchun Ruan, Haiwang Zhong:
Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game. - Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu:
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis. - Ellis Lee Thompson, Yan Xu, Peng Wei:
A Framework for Operational Volume Generation for UAM Strategic Deconfliction. - Kalle Kujanpää, Joni Pajarinen, Alexander Ilin:
Hierarchical Imitation Learning with Vector Quantized Models. - Zheng Zhai, Hengchao Chen, Qiang Sun:
Quadratic Matrix Factorization with Applications to Manifold Learning. - Julien Leprince, Henrik Madsen, Jan Kloppenborg Møller, Wim Zeiler:
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads. - Zeliang Zhang, Peihan Liu, Xiaosen Wang, Chenliang Xu:
Improving Adversarial Transferability with Scheduled Step Size and Dual Example. - Charles Li:
Using n-aksaras to model Sanskrit and Sanskrit-adjacent texts. - Hosein Mohebbi, Willem H. Zuidema, Grzegorz Chrupala, Afra Alishahi:
Quantifying Context Mixing in Transformers. - Sunghwan Yoo, Yeongjeong Jeong, Maryam Jameela, Gunho Sohn:
MRNet: Multiple-Input Receptive Field Network for Large-Scale Point Cloud Segmentation. - Daniel Rugeles, Zhen Hai, Juan Felipe Carmona, Manoranjan Dash, Gao Cong:
Improving the Inference of Topic Models via Infinite Latent State Replications. - Antoine Mottet, Michael Pinsker, Tomás Nagy:
An order out of nowhere: a new algorithm for infinite-domain CSPs. - Elena Simona Apostol, Ciprian-Octavian Truica, Adrian Paschke:
ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reporting. - Mattéo Papin, Yann Beaujeault-Taudière, Frédéric Magniette:
MOSAIC, acomparison framework for machine learning models. - Michael Timothy Bennett:
The Optimal Choice of Hypothesis Is the Weakest, Not the Shortest. - Mojtaba Dezvarei, Kevin Tomsovic, Jinyuan Stella Sun, Seddik M. Djouadi:
Graph Neural Network Framework for Security Assessment Informed by Topological Measures. - Elena Di Lavore, Mario Román:
Evidential Decision Theory via Partial Markov Categories. - Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal:
Benchmarking Robustness to Adversarial Image Obfuscations. - Tianfei Zhou, Ender Konukoglu:
FedFA: Federated Feature Augmentation. - Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner:
Multi-dimensional summation-by-parts operators for general function spaces: Theory and construction. - Jan Glaubitz, Jonah A. Reeger:
Towards stability results for global radial basis function based quadrature formulas. - Minglun Han, Feilong Chen, Jing Shi, Shuang Xu, Bo Xu:
Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation. - Aryan Bagade, Rupesh C. Jaiswal:
Farm Environmental Data Analyzer using a Decentralised system and R. - Gen Li, Yanxi Chen, Yuejie Chi, H. Vincent Poor, Yuxin Chen:
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. - Man-Fai Wong, Xintong Qi, Chee-Wei Tan:
EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry. - Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung:
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. - Cong Yu, Dongheng Zhang, Zhi Wu, Zhi Lu, Chunyang Xie, Yang Hu, Yan Chen:
RFPose-OT: RF-Based 3D Human Pose Estimation via Optimal Transport Theory. - Ling Xiao, Toshihiko Yamasaki:
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval. - Nick Brown:
Exploring the Versal AI engines for accelerating stencil-based atmospheric advection simulation. - Bowen Zhao, Chen Chen, Shu-Tao Xia:
DELTA: degradation-free fully test-time adaptation. - Qiang Wang, Robert McCarthy, David Cordova Bulens, Stephen J. Redmond:
Winning Solution of Real Robot Challenge III. - Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen:
Designing Ad Auctions with Private Constraints for Automated Bidding. - Thomas Führer, Norbert Heuer:
Robust DPG Fortin operators. - Tommaso Puccetti, Tommaso Zoppi, Andrea Ceccarelli:
On the Efficacy of Metrics to Describe Adversarial Attacks. - Usman Anjum, Samuel Lin, Justin Zhan:
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series. - Mohammed El Hanjri, Hibatallah Kabbaj, Abdellatif Kobbane, Amine Abouaomar:
Federated Learning for Water Consumption Forecasting in Smart Cities. - Dmitry Nikolaev, Sebastian Padó:
Representation biases in sentence transformers. - Yucheng Li, Frank Guerin, Chenghua Lin:
The Secret of Metaphor on Expressing Stronger Emotion. - Olga Viberg, Åke Grönlund:
Introducing Practicable Learning Analytics. - Bailey Flanigan, Ananya A. Joshi, Sara McAllister, Catalina Vajiac:
CS-JEDI: Required DEI Education, by CS PhD Students, for CS PhD Students. - Jon McCormack, Camilo Cruz Gambardella, Nina Rajcic, Stephen James Krol, Maria Teresa Llano, Meng Yang:
Is Writing Prompts Really Making Art? - James Henry Hewitt, Oktay Karakus:
A Machine Learning Approach for Player and Position Adjusted Expected Goals in Football (Soccer). - Samira Attou, Ludovic Mignot, Clément Miklarz, Florent Nicart:
Monadic Expressions and their Derivatives [extended version]. - Francisco Bersetche, Francisco Fuica, Enrique Otárola, Daniel Quero:
Bilinear optimal control for the fractional Laplacian: error estimates on Lipschitz domains. - Sam Adam-Day, Theodor-Mihai Iliant, Ismail Ilkan Ceylan:
Zero-One Laws of Graph Neural Networks. - Daniel Snider, Ruofan Liang:
Operator Fusion in XLA: Analysis and Evaluation. - Jiaheng Hu, David Watkins, Peter Allen:
Teleoperated Robot Grasping in Virtual Reality Spaces. - Mehrdad Ranjbar-Khadivi, Shahin Akbarpour, Mohammad-Reza Feizi-Derakhshi, Babak Anari:
A Human Word Association based model for topic detection in social networks. - Aloïs Rosset, Roy Overbeek, Jörg Endrullis:
Fuzzy Presheaves are Quasitoposes and Consequences in Graph Rewriting. - Jiaheng Hu, Tony Dear:
Guided Deep Reinforcement Learning for Articulated Swimming Robots. - Sami Davies, Benjamin Moseley, Heather Newman:
Fast Combinatorial Algorithms for Min Max Correlation Clustering. - Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang:
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. - Zuhao Yang, Huajun Bai, Zhang Luo, Yang Xu, Wei Pang, Yue Wang, Yisheng Yuan, Yingfang Yuan:
PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy. - Yuchen Lian, Arianna Bisazza, Tessa Verhoef:
Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off. - Uri Sherman, Tomer Koren, Yishay Mansour:
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. - George Boateng, Victor Wumbor-Apin Kumbol, Elsie Effah Kaufmann:
Can an AI Win Ghana's National Science and Maths Quiz? An AI Grand Challenge for Education. - Ali Farajzadeh Bavil, Hamed Damirchi, Hamid D. Taghirad:
Action Capsules: Human Skeleton Action Recognition. - Vincent P. H. Goverse, Jad Hamdan, Jared Tanner:
Optimal Approximation Complexity of High-Dimensional Functions with Neural Networks. - Roee Shraga, Renée J. Miller:
Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V (Technical Report). - Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu:
Language-Driven Anchors for Zero-Shot Adversarial Robustness. - Viswa Narayanan Sankaranarayanan, Gerasimos Damigos, Achilleas Santi Seisa, Sumeet Gajanan Satpute, Tore Lindgren, George Nikolakopoulos:
PACED-5G: Predictive Autonomous Control using Edge for Drones over 5G. - Omid Mohaddesi, Noah Chicoine, Min Gong, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Thought Bubbles: A Proxy into Players' Mental Model Development. - Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis:
Equivariant Differentially Private Deep Learning. - Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk:
Generalization on the Unseen, Logic Reasoning and Degree Curriculum. - Siddhartha Sarkar:
Faster Algorithm for Minimum Ply Covering of Points with Unit Squares. - Yvonne Alama Bronsard:
A symmetric low-regularity integrator for the nonlinear Schrödinger equation. - Yang Cai, Weiqiang Zheng:
Doubly Optimal No-Regret Learning in Monotone Games. - João Vitorino, Isabel Praça, Eva Maia:
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification. - Helmut Schrom-Feiertag, Georg Regal, Markus Murtinger:
MED1stMR: Mixed Reality to Enhance Training of Medical First Responder]{MED1stMR: Mixed Reality to Enhance the Training of Medical First Responders for Challenging Contexts. - Joel Niklaus, Veton Matoshi, Pooja Rani, Andrea Galassi, Matthias Stürmer, Ilias Chalkidis:
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain. - Adam Jelley, Amos J. Storkey, Antreas Antoniou, Sam Devlin:
Contrastive Meta-Learning for Partially Observable Few-Shot Learning. - Sven Nomm:
Towards the Linear Algebra Based Taxonomy of XAI Explanations. - Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot:
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images. - Szabolcs Cséfalvay, James Imber:
Self-Compressing Neural Networks. - Chuyuan Tao, Hunmin Kim, Naira Hovakimyan:
RRT Guided Model Predictive Path Integral Method. - Anthony J. Roberts, Thien Tran-Duc, Judith E. Bunder, Yannis G. Kevrekidis:
Accurate and efficient multiscale simulation of a heterogeneous elastic beam via computation on small sparse patches. - Matthew J. H. Wright:
Enhancing Neural Network Differential Equation Solvers. - Siqing Li, Leevan Ling, Steven J. Ruuth, Xuemeng Wang:
Realistic pattern formations on rough surfaces. - Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu:
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling. - Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu:
Advancing Radiograph Representation Learning with Masked Record Modeling. - Qiang Wan, Zilong Huang, Jiachen Lu, Gang Yu, Li Zhang:
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation. - Zhana Kuncheva, Ognyan Kounchev:
Spectral properties of the Laplacian of temporal networks following a constant block Jacobi model. - Nicodemo Di Pasquale, Mayo Akele, Federico Municchi, John King, Matteo Icardi:
Mathematical modelling and numerical simulation of reverse-osmosis desalination. - Paolo Amore, Mauricio Carrizalez, Ulises Zarate:
Echoes of the hexagon: remnants of hexagonal packing inside regular polygons. - Massimiliano Lupo Pasini, Luka Malenica, Kwitae Chong, Stuart R. Slattery:
A deep learning approach for adaptive zoning. - Zhengbang Cao, Yimin Wei, Pengpeng Xie:
Randomized GCUR decompositions. - José Carlos Bellido, Luis Felipe Prieto-Martínez:
A Rellich's result revisited and sensitivity of solutions of parametrized linear systems. - Xiaoxuan Zhang, Krishna C. Garikipati:
Label-free learning of elliptic partial differential equation solvers with generalizability across boundary value problems. - Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang:
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. - Yao-Chih Lee, Ji-Ze Genevieve Jang, Yi-Ting Chen, Elizabeth Qiu, Jia-Bin Huang:
Shape-aware Text-driven Layered Video Editing. - Kumar Harsha, Michael Gnewuch, Marcin Wnuk:
Infinite-Variate L2-Approximation with Nested Subspace Sampling. - Márton Benedek, Péter Biró, Walter Kern, Dömötör Pálvölgyi, Daniël Paulusma:
Partitioned Matching Games for International Kidney Exchange. - Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Learning Control from Raw Position Measurements. - Daniël Vos, Sicco Verwer:
Optimal Decision Tree Policies for Markov Decision Processes. - Hao Sun, Nick E. Pears:
Accurate Gaze Estimation using an Active-gaze Morphable Model. - Shenghao Yang, Kimon Fountoulakis:
Weighted flow diffusion for local graph clustering with node attributes: an algorithm and statistical guarantees. - Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace:
Extracting Training Data from Diffusion Models. - Jinxing Zhou, Xuyang Shen, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong:
Audio-Visual Segmentation with Semantics. - Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You:
Adaptive Computation with Elastic Input Sequence. - Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris S. Papailiopoulos:
Looped Transformers as Programmable Computers. - Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Unlocking Slot Attention by Changing Optimal Transport Costs. - Siddharth Bhatia:
Streaming Anomaly Detection. - Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik:
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search. - Mojtaba Ahmadi Almasi, Hamid Jafarkhani:
Reconfigurable Intelligent Surface-Aided NOMA with Limited Feedback. - Haonan Chang, Dhruv Metha Ramesh, Shijie Geng, Yuqiu Gan, Abdeslam Boularias:
Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction. - Fernando H. C. Dias, Manuel Cáceres, Lucia Williams, Brendan Mumey, Alexandru I. Tomescu:
A Safety Framework for Flow Decomposition Problems via Integer Linear Programming. - Chunqiu Steven Xia, Lingming Zhang:
Conversational Automated Program Repair. - Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Online Loss Function Learning. - Travis Driver, Kento Tomita, Koki Ho, Panagiotis Tsiotras:
Deep Monocular Hazard Detection for Safe Small Body Landing. - Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra:
Emergence of Maps in the Memories of Blind Navigation Agents. - Ritam Ganguly, Borzoo Bonakdarpour:
Stream-based Decentralized Runtime Verification. - Flavio Schneider:
ArchiSound: Audio Generation with Diffusion. - Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah:
Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. - Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler Johnson, Likith Gadde, Ramin Bostanabad:
Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets. - Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala:
Near Optimal Private and Robust Linear Regression. - Karthik Reddy Kanjula, Sai Meghana Kolla:
Distributed Swarm Intelligence. - Batuhan Altundas, Zheyuan Wang, Joshua Bishop, Matthew C. Gombolay:
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation. - Jason Wu, Siyan Wang, Siman Shen, Yi-Hao Peng, Jeffrey Nichols, Jeffrey P. Bigham:
WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics. - Huidong Gao, Rui Zhou, Masayoshi Tomizuka, Zhuo Xu:
Online Learning Based Mobile Robot Controller Adaptation for Slip Reduction. - Jue Wang, Michael Sotzing, Mina Lee, Alex Chortos:
Passively Addressed Morphing Surface (PARMS) Based on Machine Learning. - KrishnaTeja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh K. Iyer:
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning. - Loren Rieffer-Champlin:
Team Plan Recognition: A Review of the State of the Art. - David Cheikhi, Daniel Russo:
On the Statistical Benefits of Temporal Difference Learning. - Rishabh Tiwari, Pradeep Shenoy:
Sifer: Overcoming simplicity bias in deep networks using a feature sieve. - Yasmin Moslem, Rejwanul Haque, Andy Way:
Adaptive Machine Translation with Large Language Models. - Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo:
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. - Andrew M. McNutt, Anton Outkine, Ravi Chugh:
A Study of Editor Features in a Creative Coding Classroom. - Rudrajit Das, Sujay Sanghavi:
Understanding Self-Distillation in the Presence of Label Noise. - Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang:
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. - Romain Cosson, Laurent Massoulié, Laurent Viennot:
Breadth-First Depth-Next: Optimal Collaborative Exploration of Trees with Low Diameter. - Jonathan B. Michaux, Patrick D. Holmes, Bohao Zhang, Che Chen, Baiyue Wang, Shrey Sahgal, Tiancheng Zhang, Sidhartha Dey, Shreyas Kousik, Ram Vasudevan:
Can't Touch This: Real-Time, Safe Motion Planning and Control for Manipulators Under Uncertainty. - Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang:
Alternating Updates for Efficient Transformers. - Yu Zhang, Tawfik Osman, Ahmed Alkhateeb:
A Digital Twin Assisted Framework for Interference Nulling in Millimeter Wave MIMO Systems. - Diomidis Spinellis:
Open Reproducible Systematic Publication Research. - Yuan Zhang, Joschka Boedecker, Chuxuan Li, Guyue Zhou:
Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving. - Martin Grohe, Moritz Lichter, Daniel Neuen:
The Iteration Number of the Weisfeiler-Leman Algorithm. - Maciej Wiatrak, Eirini Arvaniti, Angus Brayne, Jonas Vetterle, Aaron Sim:
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval. - Karol Gotkowski, Shuvam Gupta, Jose R. A. Godinho, Camila G. S. Tochtrop, Klaus H. Maier-Hein, Fabian Isensee:
[Work in progress] Scalable, out-of-the box segmentation of individual particles from mineral samples acquired with micro CT. - Thai-Hoang Pham, Xueru Zhang, Ping Zhang:
Fairness and Accuracy under Domain Generalization. - Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Chrysa Papagianni, Paola Grosso:
V2N Service Scaling with Deep Reinforcement Learning. - Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn:
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback. - Alexis de Colnet, Pierre Marquis:
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits. - Marco Carmosino, Ronald Fagin, Neil Immerman, Phokion G. Kolaitis, Jonathan Lenchner, Rik Sengupta:
A Finer Analysis of Multi-Structural Games and Beyond. - Deepika Bablani, Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Dharmendra S. Modha:
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference. - Hrishikesh Viswanath, Md Ashiqur Rahman, Abhijeet Vyas, Andrey Shor, Beatriz Medeiros, Stephanie Hernandez, Suhas Eswarappa Prameela, Aniket Bera:
Fast Resolution Agnostic Neural Techniques to Solve Partial Differential Equations. - Ahmad Houraniah, H. Fatih Ugurdag, Cengiz Emre Dedeagac:
2CIM: Area-Efficient 2-Cycle Integer Multipliers. - Jian Zhu, Hanli Wang:
Pseudo 3D Perception Transformer with Multi-level Confidence Optimization for Visual Commonsense Reasoning. - Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran:
The Fair Value of Data Under Heterogeneous Privacy Constraints. - (Withdrawn) DAFD: Domain Adaptation via Feature Disentanglement for Image Classification.
- Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk:
Continuous Spatiotemporal Transformers. - Alina Chertock, Christopher Leonard, Semyon Tsynkov, Sergey V. Utyuzhnikov:
Denoising Convolution Algorithms and Applications to SAR Signal Processing. - Chaoxi Niu, Guansong Pang, Ling Chen:
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning. - Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. - Ethan Kim, Jerry Yang:
Differentiable Entailment for Parameter Efficient Few Shot Learning. - Michael Chesser, Surya Nepal, Damith C. Ranasinghe:
ICICLE: A Re-Designed Emulator for Grey-Box Firmware Fuzzing. - Hao Wu, Olga Ohrimenko, Anthony Wirth:
Tight Data Access Bounds for Private Top-$k$ Selection. - Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Unconstrained Dynamic Regret via Sparse Coding. - Yuntao Wang, Zhou Su, Shaolong Guo, Minghui Dai, Tom H. Luan, Yiliang Liu:
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects. - Golo A. Wimmer, Ben S. Southworth, Thomas J. Gregory, Xianzhu Tang:
A fast algebraic multigrid solver and accurate discretization for highly anisotropic heat flux I: open field lines. - Takuma Udagawa, Hiroshi Kanayama, Issei Yoshida:
Sentence Identification with BOS and EOS Label Combinations. - Hugo Lemarchant, Liangzi Li, Yiming Qian, Yuta Nakashima, Hajime Nagahara:
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers. - Wenchao Du, Hu Chen, Yi Zhang, Hongyu Yang:
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond. - Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. - Ayman Ali, Ekkasit Pinyoanuntapong, Pu Wang, Mohsen Dorodchi:
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN). - Licong Guan, Xue Yuan:
Iterative Loop Learning Combining Self-Training and Active Learning for Domain Adaptive Semantic Segmentation. - Ying Fan, Kangwook Lee:
Optimizing DDPM Sampling with Shortcut Fine-Tuning. - Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin:
A Counterfactual Collaborative Session-based Recommender System. - Wonyeol Lee, Sejun Park, Alex Aiken:
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters. - Cat P. Le, Luke Dai, Michael Johnston, Yang Liu, Marilyn A. Walker, Reza Ghanadan:
Improving Open-Domain Dialogue Evaluation with a Causal Inference Model. - Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang:
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding. - James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees. - Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance. - Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch:
Faithful Chain-of-Thought Reasoning. - Kyle Robinson, Dan Brown:
Automated Time-frequency Domain Audio Crossfades using Graph Cuts. - Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A. Ian McLeod, Boyu Wang:
When Source-Free Domain Adaptation Meets Learning with Noisy Labels. - David Noever, Forrest McKee:
Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models. - Yuqiang Li, Shengchen Li, George Fazekas:
An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation. - Ekkasit Pinyoanuntapong, Ayman Ali, Kalvik Jakkala, Pu Wang, Minwoo Lee, Qucheng Peng, Chen Chen, Zhi Sun:
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition. - Chung-I Huang, Wei-Yu Chen, Wei Jan Ko, Jih-Sheng Chang, Chen-Kai Sun, Hui Hung Yu, Fang-Pang Lin:
Fisheye traffic data set of point center markers. - Kyle Robinson, Dan Brown:
Large Music Recommendation Studies for Small Teams. - Margarita Vinaroz, Mijung Park:
Differentially Private Kernel Inducing Points (DP-KIP) for Privacy-preserving Data Distillation. - Shi Feng, Nuoya Xiong, Wei Chen:
Combinatorial Causal Bandits without Graph Skeleton. - Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong:
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits. - Daniel McKenzie, Samy Wu Fung, Howard Heaton:
Faster Predict-and-Optimize with Three-Operator Splitting. - Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Sequential Strategic Screening. - Tianbo Yang, Tianshuo Yang:
Classified as unknown: A novel Bayesian neural network. - Bingchuan Li, Tianxiang Ma, Peng Zhang, Miao Hua, Wei Liu, Qian He, Zili Yi:
ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing. - Ayman Ali, Ekkasit Pinyoanuntapong, Pu Wang, Mohsen Dorodchi:
A Modular Multi-stage Lightweight Graph Transformer Network for Human Pose and Shape Estimation from 2D Human Pose. - Gagan Aggarwal, Andrés Perlroth, Junyao Zhao:
Multi-Channel Auction Design in the Autobidding World. - Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia:
Few-Shot Object Detection via Variational Feature Aggregation. - Zhelun Chen, Jin Wen, Steven T. Bushby, L. James Lo, Zheng O'Neill, W. Vance Payne, Amanda J. Pertzborn, Caleb Calfa, Yangyang Fu, Gabriel Grajewski, Yicheng Li, Zhiyao Yang:
Development of a Hardware-in-theloop Testbed for Laboratory Performance Verification of Flexible Building Equipment in Typical Commercial Buildings. - Shilin Shan, Quang-Cuong Pham:
Fine Robotic Manipulation without Force/Torque Sensor. - Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
LogAI: A Library for Log Analytics and Intelligence. - Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Structure Flow-Guided Network for Real Depth Super-Resolution. - Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro:
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations. - Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Recurrent Structure Attention Guidance for Depth Super-Resolution. - Omid Memarrast, Linh Vu, Brian D. Ziebart:
Superhuman Fairness. - Hongyi Lu, Shuai Wang, Yechang Wu, Wanning He, Fengwei Zhang:
MOAT: Towards Safe BPF Kernel Extension. - Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong:
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors. - Chinmay Vilas Samak, Tanmay Vilas Samak, Venkat Krovi:
Towards Mechatronics Approach of System Design, Verification and Validation for Autonomous Vehicles. - Omar Radwan, Yilin Zhang, Luca Geretti:
Discrete Search in Heterogeneous Integer Spaces for Automated Choice of Parameters using Correct-by-Construction Methods. - Yuqi Chen, Xiangbin Zhu, Yonggang Li, Yingjian Li, Yuanwang Wei, Haojie Fang:
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation. - Zhenhui Ye, Ziyue Jiang, Yi Ren, Jinglin Liu, Jinzheng He, Zhou Zhao:
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis. - Hancheng Cao, Yujie Lu, Yuting Deng, Daniel A. McFarland, Michael S. Bernstein:
Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research. - Xu Wen, Wanling Gao, Anzheng Li, Lei Wang, Zihan Jiang, Jianfeng Zhan:
CMLCompiler: A Unified Compiler for Classical Machine Learning. - Jacob Hilton, Jie Tang, John Schulman:
Scaling laws for single-agent reinforcement learning. - Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. - Seungbum Hong, Jihun Yoon, Bogyu Park, Min-Kook Choi:
Rethinking Soft Label in Label Distribution Learning Perspective. - Naveed Akhtar:
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics. - Runlong Zhou, Zihan Zhang, Simon S. Du:
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments. - Chihyeon Song, Aayushman Sharma, Raman Goyal, Alejandro Brito, Saman Mostafavi:
A Data-Driven Modeling and Control Framework for Physics-Based Building Emulators. - Andreas A. Haupt, Nicole Immorlica, Brendan Lucier:
Certification Design for a Competitive Market. - Sudhir Pratap Yadav, Rajendra Nagar, Suril Vijaykumar Shah:
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings. - John Peca-Medlin:
Distribution of the number of pivots needed using Gaussian elimination with partial pivoting on random matrices. - Weiyue Wu, Shaoshan Liu:
Compliance Costs of AI Technology Commercialization: A Field Deployment Perspective. - Xuange Cui, Wei Xiong, Songlin Wang:
ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for E-Commerce Product Search. - Prince Mathew, Vincent Penelle, Prakash Saivasan, A. V. Sreejith:
One Deterministic-Counter Automata. - Zhiyuan Li, Anca L. Ralescu:
Learning Generalized Hybrid Proximity Representation for Image Recognition. - Wonyeol Lee, Rahul Sharma, Alex Aiken:
Training with Mixed-Precision Floating-Point Assignments. - Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo:
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. - Darshita Jain, Anima Majumder, Samrat Dutta, Swagat Kumar:
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning. - Hans-Martin Heyn, Eric Knauss, Iswarya Malleswaran, Shruthi Dinakaran:
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications. - Nicolas Gutehrlé, Antoine Doucet, Adam Jatowt:
Archive TimeLine Summarization (ATLS): Conceptual Framework for Timeline Generation over Historical Document Collections. - Clément Jourdana, Paola Pietra:
An interface formulation for the Poisson equation in the presence of a semiconducting single-layer material. - Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang:
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. - Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng:
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. - Claude Carlet, Patrick Solé:
The weight spectrum of several families of Reed-Muller codes. - Marten Gartner, Thorben Krüger, David Hausheer:
Leveraging the SCION Internet Architecture to Accelerate File Transfers over BitTorrent. - Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya:
Auxiliary Learning as an Asymmetric Bargaining Game. - Maha M. Alwuthaynani, Zahraa S. Abdallah, Raúl Santos-Rodríguez:
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease. - Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
DNN Explanation for Safety Analysis: an Empirical Evaluation of Clustering-based Approaches. - Mengyisong Zhao, Morgan Harvey, David Cameron, Frank Hopfgartner, Valerie J. Gillet:
An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio Features. - Weihao Yuan, Xiaodong Gu, Heng Li, Zilong Dong, Siyu Zhu:
Monocular Scene Reconstruction with 3D SDF Transformers. - Zhiyu Huang:
Privacy-Preserving Online Sharing Charging Pile Scheme with Different Needs Matching. - Christopher E. Mower, João Moura, Nazanin Zamani Behabadi, Sethu Vijayakumar, Tom Vercauteren, Christos Bergeles:
OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control. - Hang Fan, Xiaoyu Fan, Tianyi Hao, Wei Wei, Kun Chen, Guosai Wang, Xiaofeng Jia, Yidong Li, Wei Xu:
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation. - Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo:
Fourier Sensitivity and Regularization of Computer Vision Models. - William Gilpin:
Recurrences reveal shared causal drivers of complex time series. - Mats G. Larson, Carl Lundholm:
A cut finite element method for the heat equation on overlapping meshes: L2-analysis for dG(0) mesh movement. - Babak Taraghi, Selina Zoë Haack, Christian Timmerer:
Towards Better Quality of Experience in HTTP Adaptive Streaming. - Marek Wadinger, Michal Kvasnica:
Real-Time Outlier Detection with Dynamic Process Limits. - Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum:
Domain-Generalizable Multiple-Domain Clustering. - Albertus Johannes Malan, Pol Jané-Soneira, Felix Strehle, Sören Hohmann:
Passivity-based power sharing and voltage regulation in DC microgrids with unactuated buses. - Evangelia Gergatsouli, Christos Tzamos:
Weitzman's Rule for Pandora's Box with Correlations. - Pierre Larrenie, Jean-François Bercher, Olivier Venard, Iyad Lahsen Cherif:
Low Complexity Adaptive Machine Learning Approaches for End-to-End Latency Prediction. - Alameen Najjar, Kyle Mede:
Where You Are Is What You Do: On Inferring Offline Activities From Location Data. - Guang Yang, Yin Tang, Jun Li, Jianhua Xu, Xili Wan:
AMD: Adaptive Masked Distillation for Object. - AmirMahdi Ahmadinejad, John Peebles, Edward Pyne, Aaron Sidford, Salil P. Vadhan:
Singular Value Approximation and Reducing Directed to Undirected Graph Sparsification. - Filip Mazowiecki, Henry Sinclair-Banks, Karol Wegrzycki:
Coverability in 2-VASS with One Unary Counter is in NP. - Daniel Grimm, Philip Schörner, Moritz Dreßler, Johann Marius Zöllner:
Holistic Graph-based Motion Prediction. - Jingxuan Liang, Hong Xing, Feng Wang, Vincent K. N. Lau:
Joint Task Offloading and Cache Placement for Energy-Efficient Mobile Edge Computing Systems. - Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
Machine learning of evolving physics-based material models for multiscale solid mechanics. - Philip Saltenberger:
Structure-preserving eigenvalue modification of symplectic matrices and matrix pencils. - Maria Ferlin, Zuzanna Klawikowska, Michal Grochowski, Malgorzata Grzywinska, Edyta Szurowska:
Review of methods for automatic cerebral microbleeds detection. - Giorgio Gonnella:
Designing text representations for existing data using the TextFormats Specification Language. - Seunghwan Lee, Tae Hyun Kim:
NoiseTransfer: Image Noise Generation with Contrastive Embeddings. - Shimon Komarovsky:
Purposeful and Operation-based Cognitive System for AGI. - Artem Savkin, Yida Wang, Sebastian Wirkert, Nassir Navab, Federico Tombari:
Lidar Upsampling with Sliced Wasserstein Distance. - Shixiong Wang, Haowei Wang, Jean Honorio:
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity. - Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz:
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. - Chaoyu Chen, Hang Yu, Zhichao Lei, Jianguo Li, Shaokang Ren, Tingkai Zhang, Silin Hu, Jianchao Wang, Wenhui Shi:
BALANCE: Bayesian Linear Attribution for Root Cause Localization. - Shyam Sudhakaran, Sebastian Risi:
Skill Decision Transformer. - Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022. - Hanna Kim, Jian Cui, Eugene Jang, Chanhee Lee, Yongjae Lee, Jin-Woo Chung, Seungwon Shin:
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs. - Jason M. Pittman:
Machine Learning and Port Scans: A Systematic Review. - Georgi Tinchev, Adrián Peñate Sánchez, Maurice F. Fallon:
Real-time LIDAR localization in natural and urban environments. - Mimoun Mohamed, François Malgouyres, Valentin Emiya, Caroline Chaux:
Support Exploration Algorithm for Sparse Support Recovery. - Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor:
Policy Gradient for s-Rectangular Robust Markov Decision Processes. - (Withdrawn) Zero3D: Semantic-Driven Multi-Category 3D Shape Generation.
- Di Feng, Francesco Ferroni:
Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors. - Mirhan Ürkmez, Carsten Skovmose Kallesøe, Jan Dimon Bendtsen, John Leth:
Economic Predictive Control with Periodic Horizon for Water Distribution Networks. - Conor McMenamin, Vanesa Daza:
An AMM minimizing user-level extractable value and loss-versus-rebalancing. - Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Constrained Phi-Equilibria. - Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Multi-video Moment Ranking with Multimodal Clue. - Davide Pradovera, Monica Nonino, Ilaria Perugia:
Geometry-based approximation of waves in complex domains. - Ezio Bartocci, Leonardo Mariani, Dejan Nickovic, Drishti Yadav:
Property-Based Mutation Testing. - Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov:
Anti-Exploration by Random Network Distillation. - Evelyn Navarrete, Andreas Nehring, Sascha Schanze, Ralph Ewerth, Anett Hoppe:
A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness. - Gabriele Castellano, Juan-José Nieto, Jordi Luque, Ferran Diego, Carlos Segura, Diego Perino, Flavio Esposito, Fulvio Risso, Aravindh Raman:
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning. - Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak:
Learning Data Representations with Joint Diffusion Models. - Achilleas Santi Seisa, Sumeet Gajanan Satpute, George Nikolakopoulos:
A Kubernetes-Based Edge Architecture for Controlling the Trajectory of a Resource-Constrained Aerial Robot by Enabling Model Predictive Control. - Venkata Sai Praneeth Karempudi, Sairam Sri Vatsavai, Ishan G. Thakkar, Jeffrey Todd Hastings:
A Polymorphic Electro-Optic Logic Gate for High-Speed Reconfigurable Computing Circuits. - Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Roger Zimmermann, Yuxuan Liang:
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. - Ailing Zheng, Wanli Ni, Wen Wang, Hui Tian:
Enhancing NOMA Networks via Reconfigurable Multi-Functional Surface. - Bing Zhou, Lei Zou, Yingjie Hu, Yi Qiang:
TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT. - Hermes Sampedro Llopis, Cheol-Ho Jeong, Allan P. Engsig-Karup:
Reduced order modelling using parameterized non-uniform boundary conditions in room acoustic simulations. - Lukás Novák, Michael D. Shields, Václav Sadílek, Miroslav Vorechovský:
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion. - Ella Tamir, Martin Trapp, Arno Solin:
Transport with Support: Data-Conditional Diffusion Bridges. - Lennart P. L. Landsmeer, Max C. W. Engelen, Rene Miedema, Christos Strydis:
Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis. - Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor:
An Efficient Solution to s-Rectangular Robust Markov Decision Processes. - Markus Dablander, Thierry Hanser, Renaud Lambiotte, Garrett M. Morris:
Exploring QSAR Models for Activity-Cliff Prediction. - Georgios Amanatidis, Georgios Birmpas, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Round-Robin Beyond Additive Agents: Existence and Fairness of Approximate Equilibria. - Polina Kutsevol, Onur Ayan, Wolfgang Kellerer:
Towards Semantic-Aware Transport Layer Protocols: A Control Performance Perspective. - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Multi-Agent Contract Design: How to Commission Multiple Agents with Individual Outcome. - Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet:
A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds. - Yoshitaka Taguchi, Yunzhuo Wang, Ryota Tanomura, Takuo Tanemura, Yasuyuki Ozeki:
Iterative configuration of programmable unitary converter based on few layer redundant multi-plane light conversion. - Shahriar Rezghi Shirsavar, Mohammad-Reza Abolghasemi Dehaqani:
Spyker: High-performance Library for Spiking Deep Neural Networks. - Dongchao Yang, Songxiang Liu, Rongjie Huang, Guangzhi Lei, Chao Weng, Helen Meng, Dong Yu:
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt. - Gabriele M. Caddeo, Nicola A. Piga, Fabrizio Bottarel, Lorenzo Natale:
Collision-aware In-hand 6D Object Pose Estimation using Multiple Vision-based Tactile Sensors. - Ritumbra Manuvie, Saikat Chatterjee:
Automated Sentiment and Hate Speech Analysis of Facebook Data by Employing Multilingual Transformer Models. - Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu:
What Makes Good Examples for Visual In-Context Learning? - Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo H. de Rosa, Leandro A. Passos, João P. Papa:
Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization. - Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Xiabing Zhou, Dong Yu:
Friend-training: Learning from Models of Different but Related Tasks. - Chuanpu Fu, Qi Li, Ke Xu:
Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis. - Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt:
A Proof that Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. - Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts:
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning. - Yuanpeng He:
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window. - Philipp A. Guth, Vesa Kaarnioja:
Application of dimension truncation error analysis to high-dimensional function approximation. - Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski:
Are Defenses for Graph Neural Networks Robust? - Antonio Sclocchi, Mario Geiger, Matthieu Wyart:
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning. - Saptarshi Ghosh, Murali Sankar Venkatraman, Shehab Ahmed, Charalambos Konstantinou:
A Bi-Level Stochastic Game Model for PMU Placement in Power Grid with Cybersecurity Risks. - Verna Dankers, Ivan Titov:
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. - Juuso Eronen, Michal Ptaszynski, Fumito Masui:
Zero-shot cross-lingual transfer language selection using linguistic similarity. - Tao Yang, Yuwang Wang, Yan Lv, Nanning Zheng:
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models. - Lena Leiß, Till Heller, Luca E. Schäfer, Manuel Streicher, Stefan Ruzika:
p-median location interdiction on trees. - Myung Cho, Abdallah S. Abdallah, Mohammad Rasouli:
Low-rank LQR Optimal Control Design over Wireless Communication Networks. - Jonas Fischer, Rebekka Burkholz, Jilles Vreeken:
Preserving local densities in low-dimensional embeddings. - Amin E. Bakhshipour, Alireza Koochali, Ulrich Dittmer, Ali Haghighi, Sheraz Ahmed, Andreas Dengel:
A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction. - Shuze Liu, Shangtong Zhang:
Improving Monte Carlo Evaluation with Offline Data. - Jakub Gajarský, Nikolas Mählmann, Rose McCarty, Pierre Ohlmann, Michal Pilipczuk, Wojciech Przybyszewski, Sebastian Siebertz, Marek Sokolowski, Szymon Torunczyk:
Flipper games for monadically stable graph classes. - Lingxiao Li, Samuel Hurault, Justin Solomon:
Self-Consistent Velocity Matching of Probability Flows. - Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang:
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers. - Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu:
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion. - Sebastian Mair, Jens Sjölund:
Archetypal Analysis++: Rethinking the Initialization Strategy. - Xiang Lin, Prathyusha Jwalapuram, Shafiq R. Joty:
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation. - Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. - Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio:
PAC learning and stabilizing Hedonic Games: towards a unifying approach. - Arsalan Sharifnassab, Richard Sutton:
Toward Efficient Gradient-Based Value Estimation. - Chong Min John Tan, Mehul Motani:
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments. - Pascal Nasahl, Salmin Sultana, Hans Liljestrand, Karanvir Grewal, Michael LeMay, David M. Durham, David Schrammel, Stefan Mangard:
EC-CFI: Control-Flow Integrity via Code Encryption Counteracting Fault Attacks. - M. Tamer Özsu:
Data Science: A Systematic Treatment. - Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Semi-Supervised Classification with Graph Convolutional Kernel Machines. - Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell:
Multicalibration as Boosting for Regression. - Sebastian Holler, Sebastian Biewer, Clara Schneidewind:
HoRStify: Sound Security Analysis of Smart Contracts. - Toby van Gastelen, Wouter Edeling, Benjamin Sanderse:
Energy-Conserving Neural Network for Turbulence Closure Modeling. - Nailia Mirzakhmedova, Johannes Kiesel, Milad Alshomary, Maximilian Heinrich, Nicolas Handke, Xiaoni Cai, Valentin Barrière, Doratossadat Dastgheib, Omid Ghahroodi, Mohammad Ali Sadraei, Ehsaneddin Asgari, Lea Kawaletz, Henning Wachsmuth, Benno Stein:
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments. - Prince Aduama, Zhibo Zhang, Ameena Saad Al Sumaiti:
Multi Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model. - Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen:
FLAME: A small language model for spreadsheet formulas. - Matteo Castiglioni, Francesco Bacchiocchi, Alberto Marchesi, Giulia Romano, Nicola Gatti:
Selling Information while Being an Interested Party. - Majid Majidi, Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Scalable Grid-Aware Dynamic Matching using Deep Reinforcement Learning. - Christopher W. F. Parsonson, Zacharaya Shabka, Alessandro Ottino, Georgios Zervas:
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks. - Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos:
Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. - Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu:
Fairness-aware Vision Transformer via Debiased Self-Attention. - Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala:
Fairness in the Assignment Problem with Uncertain Priorities. - Sepehr Sharifi, Donghwan Shin, Lionel C. Briand, Nathan Aschbacher:
Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search. - Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li:
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning. - Ayush Singh, Harikrishnan Pisharody Gopalkrishnan, Mahesh Raveendranatha Panicker:
Ultrasound Based Prosthetic Arm Control. - Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha:
Learning Roles with Emergent Social Value Orientations. - Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy:
Execution-based Code Generation using Deep Reinforcement Learning. - Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad:
Patch Gradient Descent: Training Neural Networks on Very Large Images. - Ruibo Tu, Chao Ma, Cheng Zhang:
Causal-Discovery Performance of ChatGPT in the context of Neuropathic Pain Diagnosis. - Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao:
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). - Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym:
Complete Neural Networks for Euclidean Graphs. - Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried:
Grounding Language Models to Images for Multimodal Generation. - Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or:
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. - Priyanka Kaswan, Sennur Ulukus:
Age of Information With Non-Poisson Updates in Cache-Updating Networks. - Fabian Frei, David Wehner:
Bounds for c-Ideal Hashing. - Elisabetta Cornacchia, Elchanan Mossel:
A Mathematical Model for Curriculum Learning. - Hagit Attiya, Armando Castañeda, Thomas Nowak:
Topological Characterization of Task Solvability in General Models of Computation. - Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. - Azadeh Tabeshnezhad, A. Lee Swindlehurst, Tommy Svensson:
RIS-Assisted Interference Mitigation for Uplink NOMA. - Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace:
Do Multi-Document Summarization Models Synthesize? - Debangshu Banerjee, Avaljot Singh, Gagandeep Singh:
Interpreting Robustness Proofs of Deep Neural Networks. - Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen R. McKeown, Tatsunori B. Hashimoto:
Benchmarking Large Language Models for News Summarization. - Sandra Mitrovic, Davide Andreoletti, Omran Ayoub:
ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text. - (Withdrawn) LAGAN: Deep Semi-Supervised Linguistic-Anthropology Classification with Conditional Generative Adversarial Neural Network.
- Jonathan N. Lee, Alekh Agarwal, Christoph Dann, Tong Zhang:
Learning in POMDPs is Sample-Efficient with Hindsight Observability. - Hans-Joachim Böckenhauer, Fabian Frei, Walter Unger, David Wehner:
Zero-Memory Graph Exploration with Unknown Inports. - Brandon B. May, N. Joseph Tatro, Piyush Kumar, Nathan Shnidman:
Salient Conditional Diffusion for Defending Against Backdoor Attacks. - Huan-ang Gao, Beiwen Tian, Pengfei Li, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Yurong Chen, Hongbin Zha:
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds. - Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, Julius Berner:
Mathematical Capabilities of ChatGPT. - Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng:
PADL: Language-Directed Physics-Based Character Control. - David Aaron Nicholson, Vincent Emanuele:
Reverse engineering adversarial attacks with fingerprints from adversarial examples. - Mingchen Li, Liqi Kang, Yi Xiong, Yu Guang Wang, Guisheng Fan, Pan Tan, Liang Hong:
SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering. - Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao:
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. - Alex He, Dafu Lou, Eric She, Shangjie Guo, Hareesh Watson, Sibyl Weng, Maria Perepechaenko, Randy Kuang:
FIPS Compliant Quantum Secure Communication using Quantum Permutation Pad. - Vishal Anatharaman, Jason Feldkamp, Kai Fukami, Kunihiko Taira:
Image and video compression of fluid flow data. - Pavel Chebotarev:
Selection of Centrality Measures Using Self-Consistency and Bridge Axioms. - Marcin Nowicki, Witold Respondek:
Mechanical feedback linearization of single-input mechanical control systems. - Takeshi Kato:
Wealth Redistribution and Mutual Aid: Comparison using Equivalent/Nonequivalent Exchange Models of Econophysics. - Xiaohong Chen, Yuan Liao, Weichen Wang:
Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sieves. - Jiali Zhou, Mingzhi Zhou, Jiangping Zhou, Zhan Zhao:
Adapting Node-Place Model to Predict and Monitor COVID-19 Footprints and Transmission Risks. - Jie Feng, Ruimin Feng, Qing Wu, Zhiyong Zhang, Yuyao Zhang, Hongjiang Wei:
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction. - Fei Jiang, Yeqing Zhou, Jianxuan Liu, Yanyuan Ma:
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization. - Dina Reda Eldamak:
A Survey about Acquisition System Design for Myoelectric Prosthesis. - Omid Rezaei, Maryam Masjedi, Ali Kanaani, Mohammad Mahdi Naghsh, Saeed Gazor, Mohammad Mahdi Nayebi:
Design of a Multi-User Wireless Powered Communication System Employing Either Active IRS or AF Relay. - Tolga Buz, Gerard de Melo:
Democratization of Retail Trading: Can Reddit's WallStreetBets Outperform Investment Bank Analysts? - Youngchae Cho, Insoon Yang:
Using affine policies to reformulate two-stage Wasserstein distributionally robust linear programs to be independent of sample size. - Martin Andersson, Benny Avelin:
Exploring Singularities in point clouds with the graph Laplacian: An explicit approach. - Qichen Xu, Zhuanglin Shen, Manuel Pereiro, Pawel Herman, Olle Eriksson, Anna Delin:
Genetic-tunneling driven energy optimizer for magnetic system. - Moïse Blanchard, Steve Hanneke, Patrick Jaillet:
Contextual Bandits and Optimistically Universal Learning. - Dibyayan Chakraborty, Florent Foucaud:
Isometric path antichain covers: beyond hyperbolic graphs. - Dean Wang:
On the Smoothness of the Solution to the Two-Dimensional Radiation Transfer Equation. - Yiran Luo, Li-Ta Hsu, Yang Jiang, Baoyu Liu, Zhetao Zhang, Yan Xiang, Naser El-Sheimy:
High-Accuracy Absolute-Position-Aided Code Phase Tracking Based on RTK/INS Deep Integration in Challenging Static Scenarios. - David Avis, Duc A. Hoang:
A Note On Acyclic Token Sliding Reconfiguration Graphs of Independent Sets. - Qiao Wang:
Yuille-Poggio's Flow and Global Minimizer of polynomials through convexification by Heat Evolution. - Shuheng Zhou:
Semidefinite programming on population clustering: a global analysis. - Ke Zou, Xuedong Yuan, Xiaojing Shen, Yidi Chen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Huazhu Fu:
EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap. - Daiki Suruga:
Matching upper bounds on symmetric predicates in quantum communication complexity. - Stephan Leitner:
Designing organizations for bottom-up task allocation: The role of incentives. - Wenpin Tang, Hung Vinh Tran, Yuming Paul Zhang:
Policy iteration for the deterministic control problems - a viscosity approach. - Joshua Forkin, Glenn Hurlbert:
Cops and robbers pebbling in graphs. - Geoff Boeing, Yougeng Lu, Clemens Pilgram:
Local Inequities in the Relative Production of and Exposure to Vehicular Air Pollution in Los Angeles. - Idan Cohen, Ofir Lindenbaum, Sharon Gannot:
Unsupervised Acoustic Scene Mapping Based on Acoustic Features and Dimensionality Reduction. - Seyyed Hamed Moghimi, Jafar Habibi, Hamid Jahad, MohammadAmin Fazli:
Operational scheduling of oil products pipeline with intermediate event occurrences. - Yair Carmon, Arun Jambulapati, Yujia Jin, Yin Tat Lee, Daogao Liu, Aaron Sidford, Kevin Tian:
ReSQueing Parallel and Private Stochastic Convex Optimization. - Zhiyong Sun:
A gathering of Barbalat's lemmas and their (unsung) cousins. - Vladimir Makarenkov, Gayane S. Barseghyan, Nadia Tahiri:
Inferring multiple consensus trees and supertrees using clustering: a review. - Timothy T. L. Yu, Da Ma, Jayden Cole, Myeong Jin Ju, Mirza Faisal Beg, Marinko V. Sarunic:
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning. - Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz:
Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers. - Yixin Wang, David M. Blei, John P. Cunningham:
Posterior Collapse and Latent Variable Non-identifiability. - Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo:
Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality. - Mikhail A. Bragin:
Lagrangian Relaxation for Mixed-Integer Linear Programming: Importance, Challenges, Recent Advancements, and Opportunities. - Kashav Piya, Srijal Shrestha, Cameran Frank, Estephanos Jebessa, Tauheed Khan Mohd:
Addressing the Selection Bias in Voice Assistance: Training Voice Assistance Model in Python with Equal Data Selection. - Ching-Feng Yeh, Wei-Ning Hsu, Paden Tomasello, Abdelrahman Mohamed:
Efficient Speech Representation Learning with Low-Bit Quantization. - Lixin Cao, Jun Wang, Ben Yang, Dan Su, Dong Yu:
TriNet: stabilizing self-supervised learning from complete or slow collapse. - Kailin Liang, Bin Liu, Yifan Hu, Rui Liu, Feilong Bao, Guanglai Gao:
MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset. - (Withdrawn) E-commerce users' preferences for delivery options.
- Paul Gustafson, Mee Seong Im, Remy Kaldawy, Mikhail Khovanov, Zachary Lihn:
Automata and one-dimensional TQFTs with defects. - Lesi Chen, Jing Xu, Jingzhao Zhang:
On Bilevel Optimization without Lower-level Strong Convexity. - Adam J. Fleischhacker, Pak-Wing Fok, Mokshay Madiman, Nan Wu:
A Closed-Form EVSI Expression for a Multinomial Data-Generating Process. - Imma Valentina Curato, Orkun Furat, Bennet Stroeh:
Mixed moving average field guided learning for spatio-temporal data. - Arun Govindankutty, Sudarshan K. Srinivasan, Nimish Mathure:
Rotational Abstractions for Verification of Quantum Fourier Transform Circuits. - Hosein Masoomy, Tom Chou, Lucas Böttcher:
Impact of random and targeted disruptions on information diffusion during outbreaks. - Seol Ah Park, Tamara Sipka, Zuzana Krivá, George Lutfalla, Mai Nguyen-Chi, Karol Mikula:
Segmentation based tracking of cells in 2D+time microscopy images of macrophages. - Pengfei Wen, Zhi-Sheng Ye, Yong Li, Shaowei Chen, Shuai Zhao:
Fusing Models for Prognostics and Health Management of Lithium-Ion Batteries Based on Physics-Informed Neural Networks. - Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. - Thomas Wong, Mauricio Barahona:
Robust machine learning pipelines for trading market-neutral stock portfolios. - Agostino Capponi, Mihailo Stojnic:
Causal Inference (C-inf) - closed form worst case typical phase transitions. - Agostino Capponi, Mihailo Stojnic:
Causal Inference (C-inf) - asymmetric scenario of typical phase transitions. - Suyoung Choi, Hyeontae Jang, Mathieu Vallée:
The characterization of (n-1)-spheres with n+4 vertices having maximal Buchstaber number. - Kun Tang, Yuqi Wang, Shaobo Wang, Da Gao, Haojie Li, Xindong Liang, Patrick Sebbah, Jin Zhang, Junhui Shi:
Hyperuniform disordered parametric loudspeaker array. - Shirong Xu, Will Wei Sun, Guang Cheng:
Ranking Differential Privacy. - Daniel Chen, Alexander G. Strang, Andrew W. Eckford, Peter J. Thomas:
Explicitly Solvable Continuous-time Inference for Partially Observed Markov Processes. - Monica G. Bobra, Will T. Barnes, Thomas Y. Chen, Mark C. M. Cheung, Laura A. Hayes, Jack Ireland, Miho Janvier, Michael S. F. Kirk, James Mason, Stuart Mumford, Paul J. Wright:
Science Platforms for Heliophysics Data Analysis. - Yoav Bergner, Peter F. Halpin, Jill-Jênn Vie:
Multidimensional Item Response Theory in the Style of Collaborative Filtering. - Baichuan Mo, Li Jin, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao:
Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach. - Yuhe Gao, Chengchun Shi, Rui Song:
Deep Spectral Q-learning with Application to Mobile Health. - Yicong Li, Yang Tan, Jingyun Yang, Yang Li, Xiao-Ping Zhang:
Finding the Most Transferable Tasks for Brain Image Segmentation. - Aditya Singh, Ramin Ranjbarzadeh, Kislay Raj, Teerath Kumar, Arunabha M. Roy:
Understanding EEG signals for subject-wise Definition of Armoni Activities. - Adam Bene Watts, Natalie Parham:
Unconditional Quantum Advantage for Sampling with Shallow Circuits. - Meltem Civas, Ali Abdali, Murat Kuscu, Özgür B. Akan:
Frequency-Domain Detection for Molecular Communications. - Björn Liljegren-Sailer:
A time domain a posteriori error bound for balancing-related model order reduction. - Hendrik Alexander Mehrtens, Alexander Kurz, Tabea-Clara Bucher, Titus J. Brinker:
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise. - Liqun Lin, Yang Zheng, Weiling Chen, Chengdong Lan, Tiesong Zhao:
Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment. - Qian Yan, Hanyu Li:
Least product relative error estimation for functional multiplicative model and optimal subsampling. - Maxime W. Lafarge, Viktor H. Koelzer:
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset. - Andrew Schulz, Cassie Shriver, Suzanne Stathatos, Benjamin Seleb, Emily Weigel, Young-Hui Chang, M. Saad Bhamla, David Hu, Joseph R. Mendelson III:
Conservation Tools: The Next Generation of Engineering-Biology Collaborations. - James K. He, Sofia S. Villar, Lida Mavrogonatou:
Computing the Performance of A New Adaptive Sampling Algorithm Based on The Gittins Index in Experiments with Exponential Rewards. - Jacob Rast:
Causal Discovery for Gene Regulatory Network Prediction. - Stefan Wesemann, Jinfeng Du, Harish Viswanathan:
Energy Efficient Design of Extreme Massive MIMO. - Bing-Hong Li, Yuan-Mei Xie, Xiao-Yu Cao, Chen-Long Li, Yao Fu, Hua-Lei Yin, Zeng-Bing Chen:
One-Time Universal Hashing Quantum Digital Signatures without Perfect Keys. - Qingyi Pan, Ning Guo, Letu Qingge, Jingyi Zhang, Pei Yang:
PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment. - Ricardo Muñoz-Cancino, Cristián Bravo, Sebastián A. Ríos, Manuel Graña:
Assessment of creditworthiness models privacy-preserving training with synthetic data. - Carla Binucci, Emilio Di Giacomo, Michael Kaufmann, Giuseppe Liotta, Alessandra Tappini:
k-planar Placement and Packing of Δ-regular Caterpillars. - Jens Sjölund:
A Tutorial on Parametric Variational Inference. - Georgia Papacharalampous, Hristos Tyralis, Anastasios D. Doulamis, Nikolaos Doulamis:
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data. - Philipp Hess, Stefan Lange, Niklas Boers:
Deep Learning for bias-correcting comprehensive high-resolution Earth system models. - Mehrtash Mehrabi, Mostafa Mohammadkarimi, Masoud Ardakani:
Activity Detection for Grant-Free NOMA in Massive IoT Networks. - Jon Wilkening, Xinyu Zhao:
Spatially quasi-periodic water waves of finite depth. - Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Linear chain conditional random fields, hidden Markov models, and related classifiers. - Yue Liu, Tao Lin, Anastasia Koloskova, Sebastian U. Stich:
Decentralized Gradient Tracking with Local Steps. - Pere Díaz Lozano, Toni Lozano Bagén, Josep Vives:
Neural SDEs for Conditional Time Series Generation and the Signature-Wasserstein-1 metric. - Daniel H. Pak, Xiao Chen, Eric Z. Chen, Yikang Liu, Terrence Chen, Shanhui Sun:
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction. - Ali Kemal Uncu:
Proofs of Modulo 11 and 13 Cylindric Kanade-Russell Conjectures for A2 Rogers-Ramanujan Type Identities. - Daiyu Zhang, Ju-Chiang Wang, Katerina Kosta, Jordan B. L. Smith, Shicen Zhou:
Modeling the Rhythm from Lyrics for Melody Generation of Pop Song. - Xiaoyang Chen, Jinjian Wu, Wenjiao Lyu, Yicheng Zou, Kim-Han Thung, Siyuan Liu, Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning. - Evan Tey, Dan Moldovan, Michelle Kunimoto, Chelsea X. Huang, Avi Shporer, Tansu Daylan, Daniel Muthukrishna, Andrew Vanderburg, Anne Dattilo, George R. Ricker, S. Seager:
Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations. - Therese Biedl, John Wittnebel:
Large Matchings in Maximal 1-planar graphs. - Ajeeta Khatiwada, Marc Klasky, Marcie Lombardi, Jason Matheny, Arvind Mohan:
Machine Learning technique for isotopic determination of radioisotopes using HPGe γ-ray spectra. - Sussana M. Florez-Aroni, Mijail A. Hancco-Condori, Fred Torres-Cruz:
Noise Reduction in Medical Images. - Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Lingyun Huang, Jing Xiao, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian:
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. - Seyed Sajad Tabasi, Reyhaneh Vojoudi Salmani, Pouriya Khaliliyan, Javad T. Firouzjaee:
Modeling the Central Supermassive Black Holes Mass of Quasars via LSTM Approach. - Chang Min Hyun, Tae Jun Jang, Jeongchan Nam, Hyeuknam Kwon, Kiwan Jeon, Kyunghun Lee:
Machine Learning-based Signal Quality Assessment for Cardiac Volume Monitoring in Electrical Impedance Tomography. - Javad Komijani, Marina K. Marinkovic:
Generative models for scalar field theories: how to deal with poor scaling? - Paul Zheng, Emilie Chouzenoux, Laurent Duval:
PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes. - Sadi Md. Redwan, Md. Palash Uddin, Anwaar Ulhaq, Muhammad Imran Sharif:
Power Spectral Density-Based Resting-State EEG Classification of First-Episode Psychosis. - Junpeng Zhan:
Quantum Feasibility Labeling for NP-complete Vertex Coloring Problem. - Arno B. J. Kuijlaars:
Extremal polynomials on the n-grid. - Paulo Vitor Itaboraí, Eduardo R. Miranda:
Quantum Representations of Sound: from mechanical waves to quantum circuits. - Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh:
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification. - Ankit Rao, Sooraj Sanjay, Majid Ahmadi, Anirudh Venugopalrao, Navakanta Bhat, Bart Kooi, Srinivasan Raghavan, Pavan Nukala:
Self-assembled neuromorphic networks at self-organized criticality in Ag-hBN platform. - David Naccache, Ofer Yifrach-Stav:
Pattern Recognition Experiments on Mathematical Expressions. - Mikhail Yarovikov, Alexander Smirnov, Ekaterina Zhdanova, Alexander Gutor, Mikhail Vyatkin:
Optical fiber-based key for remote authentication of users and optical fiber line. - Nicki Holighaus, Günther Koliander, Clara Hollomey, Friedrich Pillichshammer:
Grid-Based Decimation for Wavelet Transforms with Stably Invertible Implementation. - Kaizhong Zheng, Shujian Yu, Badong Chen:
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis. - Anna Broms, Anna-Karin Tornberg:
A Barrier Method for Contact Avoiding Particles in Stokes Flow. - Philip L. Lederer, Xaver Mooslechner, Joachim Schöberl:
High-order projection-based upwind method for implicit large eddy simulation. - Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong:
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images. - Iasson Karafyllis, Filippos Vokos, Miroslav Krstic:
Feedback Stabilization of Tank-Liquid System with Robustness to Surface Tension. - Zhaosong Lu, Sanyou Mei:
First-order penalty methods for bilevel optimization. - Yusheng Zhou, Hao Li, Jianan Liu, Zhengmin Kong, Tao Huang, Euijoon Ahn, Zhihan Lv:
UNAEN: Unsupervised Abnomality Extraction Network for MRI Motion Artifact Reduction. - Yuling Yan, Kaizheng Wang, Philippe Rigollet:
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow. - Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. - Andrew Zhao, Nicholas C. Rubin:
Quantum relaxation for quadratic programs over orthogonal matrices. - Ivan Svetunkov:
Smooth forecasting with the smooth package in R. - Aashis Khanal, Rolando Estrada:
Fully Automated Artery-Vein ratio and vascular tortuosity measurement in retinal fundus images. - Bin Jiang, Chris de Rijke:
Living Images: A Recursive Approach to Computing the Structural Beauty of Images or the Livingness of Space. - Kristopher N. Kilpatrick, Dursun A. Bulutoglu:
The dimension of an orbitope based on a solution to the Legendre pair problem. - Michael Potter, Benny Cheng:
Bayesian Weapon System Reliability Modeling with Cox-Weibull Neural Network. - Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost:
Enhancement attacks in biomedical machine learning. - Xucun Yan, Zihuai Lin, Zhiyun Lin, Branka Vucetic:
A Novel Exploitative and Explorative GWO-SVM Algorithm for Smart Emotion Recognition. - Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography. - Noga Alon, Olivier Bousquet, Kasper Green Larsen, Shay Moran, Shlomo Moran:
Diagonalization Games. - Ang Li, Jiayi Han, Yongjian Zhao, Keyu Li, Li Liu:
Enabling Augmented Segmentation and Registration in Ultrasound-Guided Spinal Surgery via Realistic Ultrasound Synthesis from Diagnostic CT Volume. - Yue Zhao, Wei Zhang, Tiejun Li:
EPR-Net: Constructing non-equilibrium potential landscape via a variational force projection formulation. - Florian Bridoux, Kévin Perrot, Aymeric Picard Marchetto, Adrien Richard:
Interaction graphs of isomorphic automata networks I: complete digraph and minimum in-degree. - Qiang Zhao, Qiong Li, John C. S. Lui:
Applying the Quantum Error-correcting Codes for Fault-tolerant Blind Quantum Computation. - Zile Hui:
C Sequential Optimization Numbers Group. - Nicolas Bousquet, Bastien Durain, Théo Pierron, Stéphan Thomassé:
Extremal Independent Set Reconfiguration. - Elena Martín-González, Ebraham Alskaf, Amedeo Chiribiri, Pablo Casaseca-de-la-Higuera, Carlos Alberola-López, Rita Gouveia Nunes, Teresa M. Correia:
Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI. - Zhaosong Lu, Sanyou Mei:
A first-order augmented Lagrangian method for constrained minimax optimization. - Pengyang Fan, Chao Zhai:
Distributed Control Strategy for Layered Barrier Coverage of Multi-Agent Systems in Uncertain Environments. - Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski:
Deep Learning for Breast MRI Style Transfer with Limited Training Data. - Nicolas Bousquet, Théo Pierron, Alexandra Wesolek:
A note on highly connected K2, 𝓁-minor free graphs. - Sara Nocentini, Ulrich Rührmair, Mauro Barni, Diederik S. Wiersma, Francesco Riboli:
Physical Realization of a Hyper Unclonable Function. - Haytham Al Ewaidat, Youness El Brag:
Identification of lung nodules CT scan using YOLOv5 based on convolution neural network. - Henning Fernau, Kshitij Gajjar:
Sum Labelling Graphs of Maximum Degree Two. - Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications. - Michel van de Velden, Alfonso Iodice D'Enza, Angelos I. Markos, Carlo Cavicchia:
A general framework for implementing distances for categorical variables. - Luis Sa-Couto, Andreas Wichert:
Competitive learning to generate sparse representations for associative memory. - Zifan Jiang, Adrian Soldati, Isaac Schamberg, Adriano R. Lameira, Steven Moran:
Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks. - Chengchun Shi, Zhengling Qi, Jianing Wang, Fan Zhou:
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization. - Shima Bab Hadiashar, Ashwin Nayak, Pulkit Sinha:
Optimal lower bounds for Quantum Learning via Information Theory. - Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training. - Nishant Rajadhyaksha, Aarushi Chitkara:
Graph Contrastive Learning for Multi-omics Data. - Miku Nishihara, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Singing voice synthesis based on frame-level sequence-to-sequence models considering vocal timing deviation. - Ben Adcock, Matthew J. Colbrook, Maksym Neyra-Nesterenko:
Restarts subject to approximate sharpness: A parameter-free and optimal scheme for first-order methods. - Luofeng Liao, Christian Kroer:
Statistical Inference and A/B Testing for First-Price Pacing Equilibria. - Muyiwa Babayomi, Oluwatosin Atinuke Olagbaju, Abdulrasheed Adedolapo Kadiri:
Convolutional XGBoost (C-XGBOOST) Model for Brain Tumor Detection. - Alireza Ranjbaran, Azadeh Nazemi:
A survey on Organoid Image Analysis Platforms. - Aleksandr Y. Aravkin, Robert J. Baraldi, Dominique Orban:
A Levenberg-Marquardt Method for Nonsmooth Regularized Least Squares. - Vu Nguyen, Olatunji Olayiwola, Boyun Guo, Ning Liu:
Well Cement Degradation and Wellbore Integrity in Geological 2 CO2 Storages: A Literature Review. - Lin Qiu, Aminollah Khormali, Kai Liu:
Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction. - Yusuke Nagira, Yuzuha Hara, Satoru Hiwa, Naoki Okumura, Noriko Koizumi, Tomoyuki Hiroyasu:
Generating corneal panoramic images from contact specular microscope images. - Kyoka Yoshiok, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu:
Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset. - Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu:
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. - Mareike Hasenpflug, Viacheslav Natarovskii, Daniel Rudolf:
Reversibility of elliptical slice sampling revisited. - Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Valid P-Value for Deep Learning-Driven Salient Region. - Benbakreti Samir, Said Mwanahija, Benbakreti Soumia, Umut Özkaya:
Deep Learning For Classification Of Chest X-Ray Images (Covid 19). - Chang-Sik Choi, François Baccelli:
Cox Point Processes for Multi-Altitude LEO Satellite Networks. - Weicheng Gao, Xiaopeng Yang, Xiaodong Qu, Tian Lan:
TWR-MCAE: A Data Augmentation Method for Through-the-Wall Radar Human Motion Recognition. - Bevan I. Smith:
Evaluating counterfactual explanations using Pearl's counterfactual method. - Rida Ait El Manssour, Anna-Laura Sattelberger, Bertrand Teguia Tabuguia:
D-Algebraic Functions. - Jan-Frederik Pietschmann, Ailyn Stötzner, Max Winkler:
Numerical investigation of agent controlled pedestrian dynamics using a structure preserving finite volume scheme. - Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon:
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets. - Hamed Bolandi, Gautam Sreekumar, Xuyang Li, Nizar Lajnef, Vishnu Naresh Boddeti:
Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components. - Evgenii Kanin, A. A. Garipova, Sergei Boronin, V. V. Vanovsky, Albert L. Vainshtein, A. A. Afanasyev, Andrei Osiptsov, Evgeny V. Burnaev:
Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements. - Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, Claudia Linnhoff-Popien:
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training. - Mircea Dumitru, Qiao Li, Erick Andres Perez-Alday, Ali Bahrami Rad, Gari D. Clifford, Reza Sameni:
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising. - Pedro C. Neto, Diana Montezuma, Sara Pires de Oliveira, Domingos Oliveira, João Fraga, Ana Monteiro, João C. Monteiro, Liliana Ribeiro, Sofia Gonçalves, Stefan Reinhard, Inti Zlobec, Isabel M. Pinto, Jaime S. Cardoso:
A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype. - Ulrik Buchholtz, J. Daniel Christensen, Jarl G. Taxerås Flaten, Egbert Rijke:
Central H-spaces and banded types. - Qi Hu, Martin Hailstone, Jingyu Wang, Matthew Wincott, Danail Stoychev, Huriye Atilgan, Dalia Gala, Tai Chaiamarit, Richard M. Parton, Jacopo Antonello, Adam M. Packer, Ilan Davis, Martin J. Booth:
Universal adaptive optics for microscopy through embedded neural network control. - Mario V. Wüthrich, Johanna Ziegel:
Isotonic Recalibration under a Low Signal-to-Noise Ratio. - March Boedihardjo, Thomas Strohmer, Roman Vershynin:
Covariance loss, Szemeredi regularity, and differential privacy. - AmirReza BabaAhmadi, Sahar Khalafi, Masoud ShariatPanahi, Moosa Ayati:
Designing an Improved Deep Learning-based Model for COVID-19 Recognition in Chest X-ray Images: A Knowledge Distillation Approach. - David M. Chan, Shalini Ghosh, Ariya Rastrow, Björn Hoffmeister:
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition. - Simon K. S. Chu, Kathy Y. Wei:
Conditional Generation of Paired Antibody Chain Sequences through Encoder-Decoder Language Model. - Puoya Tabaghi, Michael Khanzadeh, Yusu Wang, Siavash Mirarab:
Principal Component Analysis in Space Forms. - Chung-Han Hsieh, Yi-Shan Wong:
On Frequency-Based Optimal Portfolio with Transaction Costs. - John S. Schreck, Matthew Hayman, Gabrielle Gantos, Aaron Bansemer, David John Gagne:
Mimicking non-ideal instrument behavior for hologram processing using neural style translation. - Igal Sason:
Observations on the Lovász θ-Function, Graph Capacity, Eigenvalues, and Strong Products. - Randy Kuang, Adrian Chan:
Quantum Encryption in Phase Space using Displacement Operator for QPSK Data Modulation. - Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi:
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. - Thomas J. Misa:
Charles Babbage, Ada Lovelace, and the Bernoulli Numbers. - Marcus Edwards:
Quantum Honest Byzantine Agreement as a Distributed Quantum Algorithm. - Yuma Katsuki, Giuseppe Thadeu Freitas de Abreu, Koji Ishibashi, Naoki Ishikawa:
A New Noncoherent Gaussian Signaling Scheme for Low Probability of Detection Communications. - Neil G. Marchant, Benjamin I. P. Rubinstein, Rebecca C. Steorts:
Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors. - Elijah Pelofske:
Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems. - Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis:
Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation. - M. Hashim Shahab, Hasan Mujtaba Buttar, Ahsan Mehmood, Waqas Aman, Muhammad Mahboob Ur Rahman, Muhammad Wasim Nawaz, Qammer H. Abbasi:
Transfer learning for non-intrusive load monitoring and appliance identification in a smart home. - Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye:
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. - Daoyu Li, Hanwen Xu, Miao Cao, Xin Yuan, David J. Brady, Liheng Bian:
Large-scale Global Low-rank Optimization for Computational Compressed Imaging. - Ron Asherov, Irit Dinur:
Bipartite unique-neighbour expanders via Ramanujan graphs. - Marelys Crespo Navas, Sébastien Gadat, Xavier Gendre:
Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions. - Jiawen Li, Yunqian Huang, Sheng Song, Hongbo Chen, Junni Shi, Duo Xu, Haibin Zhang, Man Chen, Rui Zheng:
Automatic Diagnosis of Carotid Atherosclerosis Using a Portable Freehand 3D Ultrasound Imaging System. - Steven Finch:
Stochastic Reservoir Calculations. - Xiao-Tong Yuan, Ping Li:
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. - Chuan He, Zhaosong Lu, Ting Kei Pong:
A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees. - Lingxiao Wang, Ping Li:
Exploration in Model-based Reinforcement Learning with Randomized Reward. - Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan:
eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging. - Kangjin Han, Hyunsuk Moon:
A family of explicit Waring decompositions of a polynomial. - Chaoyi Wu, Feng Chang, Xiao Su, Zhihan Wu, Yanfeng Wang, Ling Zhu, Ya Zhang:
Integrating features from lymph node stations for metastatic lymph node detection. - Dmitry Ivlev:
Reservoir Prediction by Machine Learning Methods on The Well Data and Seismic Attributes for Complex Coastal Conditions. - Saptarshi Roy, Amit Mitra, N. K. Archak:
On Consistency and Asymptotic Normality of Least Absolute Deviation Estimators for 2-dimensional Sinusoidal Model. - Zixuan Xie, Yucheng Wang, Wanyue Xu, Liwang Zhu, Wei Li, Zhongzhi Zhang:
Combinatorial Properties for a Class of Simplicial Complexes Extended from Pseudo-fractal Scale-free Web. - Huanyu Bian, Zhilong Jia, Menghan Dou, Yuan Fang, Lei Li, Yiming Zhao, Hanchao Wang, Zhaohui Zhou, Wei Wang, Wenyu Zhu, Ye Li, Yang Yang, Weiming Zhang, Nenghai Yu, Zhaoyun Chen, Guoping Guo:
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum. - Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li:
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. - Hongyu Li, Shanpu Shen, Matteo Nerini, Bruno Clerckx:
Reconfigurable Intelligent Surfaces 2.0: Beyond Diagonal Phase Shift Matrices. - Meng Wang, Feng Gao, Junyu Dong, Heng-Chao Li, Qian Du:
Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification. - Dongxiang Yan, Shihan Huang, Yue Chen:
Real-time Feedback Based Online Aggregate EV Power Flexibility Characterization. - Isabell Stucke, Deborah Morgenstern, Thorsten Simon, Georg J. Mayr, Achim Zeileis, Gerhard Diendorfer, Wolfgang Schulz, Hannes Pichler:
Upward lightning at wind turbines: Risk assessment from larger-scale meteorology. - Michael Elad, Bahjat Kawar, Gregory Vaksman:
Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper -. - Abdelmageed Ahmed, Alaa Nagy, Ahmed Kamal, Daila Farghl:
Leukemia detection based on microscopic blood smear images using deep learning. - Debamita Ghosh, Manjesh K. Hanawal, Nikola Zlatanov:
Learning Optimal Phase-Shifts of Holographic Metasurface Transceivers. - Junfei Zhang, Yueqi Li, Xinbo Zhou:
Machine-Learning Prediction of the Computed Band Gaps of Double Perovskite Materials. - Yandong Shi, Lixiang Lian, Yuanming Shi, Zixin Wang, Yong Zhou, Liqun Fu, Lin Bai, Jun Zhang, Wei Zhang:
Machine Learning for Large-Scale Optimization in 6G Wireless Networks. - Xhesilda Vogli, Erion Çano:
CSRCZ: A Dataset About Corporate Social Responsibility in Czech Republic. - Quoc Dang Vu, Robert Jewsbury, Simon Graham, Mostafa Jahanifar, Shan E Ahmed Raza, Fayyaz Minhas, Abhir Bhalerao, Nasir M. Rajpoot:
Nuclear Segmentation and Classification: On Color & Compression Generalization. - Eslam Eldeeb, Jean Michel de Souza Sant'Ana, Dian Echevarría Pérez, Mohammad Shehab, Nurul Huda Mahmood, Hirley Alves:
Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge. - Yueming Yin, Haifeng Hu, Zhen Yang, Jitao Yang, Chun Ye, Jiansheng Wu, Wilson Wen Bin Goh:
An open unified deep graph learning framework for discovering drug leads. - Huy Phan, Kristian P. Lorenzen, Elisabeth R. M. Heremans, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Mathias Baumert, Kaare B. Mikkelsen, Maarten De Vos:
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging. - Debamita Ghosh, Haseen Rahman, Manjesh K. Hanawal, Nikola Zlatanov:
UB3: Best Beam Identification in Millimeter Wave Systems via Pure Exploration Unimodal Bandits. - Pavlos Pavlou, Stelios G. Vrachimis, Demetrios G. Eliades, Marios M. Polycarpou:
Non-intrusive Water Usage Classification Considering Limited Training Data. - Ildar Rakhmatulin:
RaspberryPi to measure EEG, ECG, EMG and EOG with Shield PiEEG. - Yankun Xu, Jie Yang, Wenjie Ming, Shuang Wang, Mohamad Sawan:
Deep Learning for Short-Latency Epileptic Seizure Detection with Probabilistic Classification. - Sachin Kadam, Dong In Kim:
Knowledge-Aware Semantic Communication System Design and Data Allocation. - Omar Elnaggar, Roselina Arelhi, Frans Coenen, Andrew Hopkinson, Lyndon Mason, Paolo Paoletti:
KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study. - Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan:
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. - Shangsheng Wen, Ziyang Ge, Danlan Yuan, Yingcong Chen, Xuecong Fang:
Technology Report : Smartphone-Based Pedestrian Dead Reckoning Integrated with Data-Fusion-Adopted Visible Light Positioning. - Martin Sípka, Johannes C. B. Dietschreit, Lukás Grajciar, Rafael Gómez-Bombarelli:
Differentiable Simulations for Enhanced Sampling of Rare Events. - Anthony Bonato, Trent G. Marbach, Michael Molnar, JD Nir:
The one-visibility Localization game. - Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh:
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. - Alain Couvreur:
Codes and modular curves. - Jaivardhan Kapoor, Jakob H. Macke, Christian F. Baumgartner:
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis. - Mihai Datcu, Zhongling Huang, Andrei Anghel, Juanping Zhao, Remus Cacoveanu:
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar. - Antônia A. L. Dos Santos, Danilo A. Sarti, Rafael A. Moral, Andrew C. Parnell:
Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials. - Tuomas Takko, Kunal Bhattacharya, Kimmo Kaski:
Modelling exposure between populations using networks of mobility during Covid-19. - David Wärn:
Eilenberg-MacLane spaces and stabilisation in homotopy type theory. - Guillermo Iglesias, Edgar Talavera, Alberto Díaz-Álvarez, Miguel Gracía-Remesal:
MOC-AE: An Anatomically-Pathological-Based model for Clinical Decision Support System of tumoural brain images. - Ilker Yildirim, Max H. Siegel, Amir Arsalan Soltani, Shraman Ray Chaudhari, Joshua B. Tenenbaum:
3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis. - Md Zobaer Islam, Brenden Martin, Carly Gotcher, Tyler Martinez, John F. O'Hara, Sabit Ekin:
Non-contact Respiratory Anomaly Detection using Infrared Light Wave Sensing. - Dominic Desjardins Côté:
Dowker Complexes and filtrations on self-relations. - Kexuan Li, Jun Zhu, Anthony R. Ives, Volker C. Radeloff, Fangfang Wang:
Semiparametric Regression for Spatial Data via Deep Learning. - Khai Nguyen, Tongzheng Ren, Nhat Ho:
Markovian Sliced Wasserstein Distances: Beyond Independent Projections. - Adam Bouland, Yosheb Getachew, Yujia Jin, Aaron Sidford, Kevin Tian:
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling. - Arpan Mukherjee, Ali Tajer:
Best Arm Identification in Stochastic Bandits: Beyond β-optimality. - Sheung Man Yuen, Warut Suksompong:
Extending the Characterization of Maximum Nash Welfare. - Dhaivat Joshi, Suhas N. Diggavi, Mark J. P. Chaisson, Sreeram Kannan:
HQAlign: Aligning nanopore reads for SV detection using current-level modeling. - Efstratios Stratoglou, Alexandre Anahory Simoes, Anthony M. Bloch, Leonardo Colombo:
Virtual Affine Nonholonomic Constraints. - Elisabeth Gaar, Diane Puges, Angelika Wiegele:
Strong SDP based bounds on the cutwidth of a graph. - Thomas Bonte, Maxence Philbert, Emeline Coleno, Edouard Bertrand, Arthur Imbert, Thomas Walter:
Learning with minimal effort: leveraging in silico labeling for cell and nucleus segmentation. - Michael Günther, Birgit Jacob, Claudia Totzeck:
Data-driven adjoint-based calibration of port-Hamiltonian systems in time domain. - Sarod Yatawatta:
Hint assisted reinforcement learning: an application in radio astronomy. - Manali Saini, Anant Jain, Lalan Kumar, Suriya Prakash Muthukrishnan, Shubhendu Bhasin, Sitikantha Roy:
BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation. - Claudio Cicconetti, Marco Conti, Andrea Passarella:
Service Differentiation and Fair Sharing in Distributed Quantum Computing. - Héctor J. Hortúa, Luz Ángela García, Leonardo Castañeda C:
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks. - Wing Fei Lo, Nitish Mital, Haotian Wu, Deniz Gündüz:
Collaborative Semantic Communication at the Edge. - Benjamin S. Baumer, Gregory J. Matthews, Quang Nguyen:
Big Ideas in Sports Analytics and Statistical Tools for their Investigation. - Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management. - Jian Guo, Saizhuo Wang, Lionel M. Ni, Heung-Yeung Shum:
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence. - Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani:
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? - Muhammad Faaiz Taufiq, Patrick Blöbaum, Lenon Minorics:
Manifold Restricted Interventional Shapley Values. - Arthur N. Montanari, Leandro Freitas, Daniele Proverbio, Jorge M. Gonçalves:
Functional observability and subspace reconstruction in nonlinear systems. - Philipp Seltsam, Priyanka Das, Mathias Wien:
Adaptive and Scalable Compression of Multispectral Images using VVC. - Svante Janson:
On Knuth's conjecture for back and forward arcs in Depth First Search in a random digraph with geometric outdegree distribution. - Robert Wille, Lukas Burgholzer, Stefan Hillmich, Thomas Grurl, Alexander Ploier, Tom Peham:
The Basis of Design Tools for Quantum Computing: Arrays, Decision Diagrams, Tensor Networks, and ZX-Calculus. - Alexandre Adam, Laurence Perreault Levasseur, Yashar Hezaveh, Max Welling:
Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines. - Chuan He, Heng Huang, Zhaosong Lu:
A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. - Édouard Bonnet, Florent Foucaud, Tuomo Lehtilä, Aline Parreau:
Neighbourhood complexity of graphs of bounded twin-width. - Samitha Somathilaka, Daniel P. Martins, Xu Li, Yusong Li, Sasitharan Balasubramaniam:
Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms. - Marco Mancastroppa, Iacopo Iacopini, Giovanni Petri, Alain Barrat:
Hyper-cores promote localization and efficient seeding in higher-order processes. - Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim:
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models. - Mirko Trisolini, Camilla Colombo, Yuichi Tsuda:
Ejecta cloud distributions for the statistical analysis of impact cratering events onto asteroids' surfaces: a sensitivity analysis. - Pattana Chintarungruangchai, Ing-Guey Jiang, Jun Hashimoto, Yu Komatsu, Mihoko Konishi:
A Possible Converter to Denoise the Images of Exoplanet Candidates through Machine Learning Techniques. - Iasson Karafyllis, Alexandros Aslanidis, Miroslav Krstic:
Adaptive Regulation with Global KL Guarantees. - Ian George, Min-Hsiu Hsieh, Eric Chitambar:
One-Shot Distributed Source Simulation: As Quantum as it Can Get. - Harry Desmond, Deaglan J. Bartlett, Pedro G. Ferreira:
On the functional form of the radial acceleration relation. - Hanzheng Zhang, Guanpu Chen, Huashu Qin:
Bayesian Nash Equilibrium Seeking for Distributed Incomplete-information Aggregative Games. - Yuhan Xie, Zhiyong Zhang, Shaolong Chen, Changzhen Qiu:
An atrium segmentation network with location guidance and siamese adjustment. - Josh Williams, Ali Ozel, Uwe Wolfram:
pyssam - a Python library for statistical modelling of biomedical shape and appearance. - Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. - Johannes Hertrich, Robert Beinert, Manuel Gräf, Gabriele Steidl:
Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. - Francesca Venturini, Michela Sperti, Umberto Michelucci, Arnaud Gucciardi, Vanessa M. Martos, Marco Agostino Deriu:
Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils. - Simon Hunkler, Kay Diederichs, Oleksandra Kukharenko, Christine Peter:
Fast conformational clustering of extensive molecular dynamics simulation data. - Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Johannes C. Paetzold, Rebecca Kaye, Sophie Riedl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Lars Fritsche, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten:
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration. - Huaiqian You, Xiao Xu, Yue Yu, Stewart Silling, Marta D'Elia, John T. Foster:
Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures. - Ulrich Oberhofer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Oliver Kamps, Veit Hagenmeyer, Benjamin Schäfer:
Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands. - Iasson Karafyllis, Markos Papageorgiou:
A Particle Method for 1-D Compressible Fluid Flow. - Pol Mestres, Jorge Cortés:
Feasibility and Regularity Analysis of Safe Stabilizing Controllers under Uncertainty. - Georgi Tinchev, Marta Czarnowska, Kamil Deja, Kayoko Yanagisawa, Marius Cotescu:
Modelling low-resource accents without accent-specific TTS frontend. - Tejin Cai, Kenneth Herner, Tingjun Yang, Michael Wang, Maria Acosta Flechas, Philip C. Harris, Burt Holzman, Kevin Pedro, Nhan Tran:
Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing. - Alec J. Linot, Michael D. Graham:
Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow. - Paola Malsot, Filipe Martins, Didier Trono, Guillaume Obozinski:
Optirank: classification for RNA-Seq data with optimal ranking reference genes. - Barry M. Dillon, Luigi Favaro, Friedrich Feiden, Tanmoy Modak, Tilman Plehn:
Anomalies, Representations, and Self-Supervision. - Sheide Chammas, Qing Wang, Tapio Schneider, Matthias Ihme, Yi-Fan Chen, John R. Anderson:
Accelerating large-eddy simulations of clouds with Tensor Processing Units. - Mingqi Zhang, Stefano Pirandola, Kaveh Delfanazari:
Millimetre-waves to Terahertz SISO and MIMO Continuous Variable Quantum Key Distribution. - Zhu Liang, Matthew R. Carbone, Wei Chen, Fanchen Meng, Eli Stavitski, Deyu Lu, Mark S. Hybertsen, Xiaohui Qu:
Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces. - Iain Burge, Michel Barbeau, Joaquín García-Alfaro:
A Quantum Algorithm for Shapley Value Estimation. - Matthias J. Ehrhardt, Lindon Roberts:
Analyzing Inexact Hypergradients for Bilevel Learning. - Xuezhen Li, Can M. Le:
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes. - Khai Nguyen, Dang Nguyen, Nhat Ho:
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction. - Siddharth Rout:
PINN for Dynamical Partial Differential Equations is Not Training Deeper Networks Rather Learning Advection and Time Variance. - Ghurumuruhan Ganesan:
Redundancy of Codes with Graph Constraints. - Jonathan P. Mailoa, Xin Li, Jiezhong Qiu, Shengyu Zhang:
Multi-Constraint Molecular Generation using Sparsely Labelled Training Data for Localized High-Concentration Electrolyte Diluent Screening. - Robert J. Webber, Matthias Morzfeld:
Localized covariance estimation: A Bayesian perspective. - Lucas Picasarri-Arrieta:
Strengthening the Directed Brooks' Theorem for oriented graphs and consequences on digraph redicolouring. - Vaiva Vasiliauskaite, Nino Antulov-Fantulin:
Universality of neural dynamics on complex networks. - Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu, Guanbin Li:
Lesion-aware Dynamic Kernel for Polyp Segmentation. - Fabian Schaipp, Robert M. Gower, Michael Ulbrich:
A Stochastic Proximal Polyak Step Size. - Antoine P. Leeman, Johannes Köhler, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger:
Robust Nonlinear Optimal Control via System Level Synthesis. - Daria Fokina, Pavel Toktaliev, Oleg Iliev, Ivan V. Oseledets:
Machine learning methods for prediction of breakthrough curves in reactive porous media. - Xavier Guidetti, Efe C. Balta, Yannick Nagel, Hang Yin, Alisa Rupenyan, John Lygeros:
Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers. - Yara Huleihel, Haim H. Permuter:
Low PAPR MIMO-OFDM Design Based on Convolutional Autoencoder. - Guo-Wei Wei:
Topological data analysis hearing the shapes of drums and bells. - Louis Fabrice Tshimanga, Manfredo Atzori, Federico Del Pup, Maurizio Corbetta:
An overview of open source Deep Learning-based libraries for Neuroscience. - J. P. Terry, C. Hall, Sean Abreau, Sergei Gleyzer:
Kinematic Evidence of an Embedded Protoplanet in HD 142666 Identified by Machine Learning. - Stefano Martina, Santiago Hernández-Gómez, Stefano Gherardini, Filippo Caruso, Nicole Fabbri:
Deep learning enhanced noise spectroscopy of a spin qubit environment. - Samuel Yen-Chi Chen:
Asynchronous training of quantum reinforcement learning. - Anton S. Albino, Lucas Q. Galvão, Ethan Hansen, Mauro Q. Nooblath Neto, Clebson Cruz:
Quantum algorithm for finding minimum values in a Quantum Random Access Memory. - Sven Fiergolla, Kevin Goergen, Patrick Neises, Petra Wolf:
Heuristic for Diverse Kemeny Rank Aggregation based on Quantum Annealing. - Eyal Neuman, Yufei Zhang:
Statistical Learning with Sublinear Regret of Propagator Models. - Hongyu Wang, Aming Li, Long Wang:
High-Accuracy Approximation of Evolutionary Pairwise Games on Complex Networks. - Jonah Botvinick-Greenhouse, Robert Martin, Yunan Yang:
Learning Dynamical Systems From Invariant Measures. - Josue Casco-Rodriguez:
Rock Guitar Tablature Generation via Natural Language Processing. - Jiwon Kim, Moon-Ju Kang, KangHun Lee, HyungJun Moon, Bo-Kwan Jeon:
Deep Reinforcement Learning for Asset Allocation: Reward Clipping. - Thomas F. Varley, Maria Pope, Maria Grazia Puxeddu, Joshua Faskowitz, Olaf Sporns:
Partial entropy decomposition reveals higher-order structures in human brain activity. - Manuel Tobias Baumhof, Enrica Raheli, Andrea Gloppen Johnsen, Jalal Kazempour:
Optimization of Hybrid Power Plants: When Is a Detailed Electrolyzer Model Necessary? - Ji Hyung Jung, Hye Won Chung, Ji Oon Lee:
Detection problems in the spiked matrix models. - Minh Tuan Ha, Paul Jungeblut, Torsten Ueckerdt:
Primal-Dual Cops and Robber. - Yiwen Lu, Yilin Mo:
Almost Surely √T Regret Bound for Adaptive LQR. - Ammar Daskin:
On the explainability of quantum neural networks based on variational quantum circuits. - Derek DeSantis, Ayan Biswas, Earl Lawrence, Phillip Wolfram:
Dynamic Data Assimilation of MPAS-O and the Global Drifter Dataset. - Ojas Parekh:
Synergies Between Operations Research and Quantum Information Science. - Maximilian Benedikt Kloucek, Thomas Machon, Shogo Kajimura, C. Patrick Royall, Naoki Masuda, Francesco Turci:
Biases in Inverse Ising Estimates of Near-Critical Behaviour. - Saturnino Luz, Fasih Haider, Davida Fromm, Ioulietta Lazarou, Ioannis Kompatsiaris, Brian MacWhinney:
Multilingual Alzheimer's Dementia Recognition through Spontaneous Speech: a Signal Processing Grand Challenge. - Sergei Manzhos, Manabu Ihara:
Neural network with optimal neuron activation functions based on additive Gaussian process regression. - Yudong Pan, Ning Li, Yangsong Zhang:
Short-time SSVEP data extension by a novel generative adversarial networks based framework. - Stefan Ecklebe, Nicole Gehring:
Backstepping-based tracking control of the vertical gradient freeze crystal growth process. - Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup Unlu, Sarunas Verner:
Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles. - Xinke Huang, Yuqin Jiang, Ali Mostafavi:
Emergence of Urban Heat Traps from the Intersection of Human Mobility and Heat Hazard Exposure in Cities. - Marvin Fuchs, Luis E. Ardila-Perez, Torben Mehner, Oliver Sander:
Split Boot - True Network-Based Booting on Heterogeneous MPSoCs. - Chrysafis Hartonas:
Choice-free Dualities for Lattice Expansions: Application to Logics with a Negation Operator. - Andrea Russo, Vincenzo Miracula, Antonio Picone:
Network analysis on political election; populist vs social emergent behaviour. - Mehdi Hosseinzadeh, Karthick Shankar, Maria Apostolaki, Jay Ramachandran, Steven Adams, Vyas Sekar, Bruno Sinopoli:
CANE: A Cascade-Control Approach for Network-Assisted Video QoE Management. - Ilia Revin:
Composite model of seismic monitoring data analysis during mining operations on the example of the Kukisvumchorrskoye deposit of JSC Apatit. - Antoni Klorek, Karol Roszak, Izabela Szczech, Dariusz Brzezinski:
confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning. - Zipei Nie:
On a conjecture of Knuth about forward and back arcs. - Zhihang Xu, Yingzhi Xia, Qifeng Liao:
A domain-decomposed VAE method for Bayesian inverse problems. - Yuxin Wang, Zheng Xing, Wei W. Xing:
GAR: Generalized Autoregression for Multi-Fidelity Fusion. - Oliver Knill:
The Sphere Formula. - Jing Gao, Sen Li:
Regulating For-Hire Autonomous Vehicles for An Equitable Multimodal Transportation Network. - Jiafei Fu, Pengcheng Zhu, Jingyu Hua, Jiamin Li, Jiangang Wen:
Optimization of the energy efficiency in Smart Internet of Vehicles assisted by MEC. - Rongzhi Dong, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Discovery of 2D materials using Transformer Network based Generative Design. - Tao Zhang, Yanlu Lian, Gennian Ge:
On lattice tilings of Zn by limited magnitude error balls B(n, 2, 1, 1). - Premjeet Singh, Md. Sahidullah, Goutam Saha:
Modulation spectral features for speech emotion recognition using deep neural networks. - Kun Huang, Shi Pu:
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence. - Markus J. Buehler:
Diatom-inspired architected materials using language-based deep learning: Perception, transformation and manufacturing. - Li Yu, Hisham Abuella, Md Zobaer Islam, John F. O'Hara, Christopher Crick, Sabit Ekin:
Hand Gesture Recognition through Reflected Infrared Light Wave Signals. - Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey:
Compress Then Test: Powerful Kernel Testing in Near-linear Time. - Kang Du, Yu Xiang:
Generalized Invariant Matching Property via LASSO. - Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen:
On the role of Model Uncertainties in Bayesian Optimization. - Mark Pankov:
On the graph of non-degenerate linear [n, 2]2 codes. - Al Emran, Cristina Dalle Ore, C. J. Ahrens, M. K. H. Khan, V. F. Chevrier, Dale P. Cruikshank:
Pluto's Surface Mapping using Unsupervised Learning from Near-Infrared Observations of LEISA/Ralph. - Lingxia Cui, Zongming Wu, Hua Xiang:
Quantum radial basis function method for the Poisson equation. - Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang:
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. - Claudio Gheller, Giuliano Taffoni, David Goz:
High Performance W-stacking for Imaging Radio Astronomy Data: a Parallel and Accelerated Solution. - Xiangyu Rui, Xiangyong Cao, Jun Shu, Qian Zhao, Deyu Meng:
A Hyper-weight Network for Hyperspectral Image Denoising. - Changpeng Shao:
An improved quantum algorithm for low-rank rigid linear regressions with vector solution outputs. - Adrian Chan, Mostafa Khalil, Kh Arif Shahriar, David V. Plant, Lawrence R. Chen, Randy Kuang:
Quantum Encryption in Phase Space for Coherent Optical Communications. - Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince:
Segmenting thalamic nuclei from manifold projections of multi-contrast MRI. - Yunseok Lee, Holger Boche, Gitta Kutyniok:
Computability of Optimizers. - Özlem Tugfe Demir, Meysam Masoudi, Emil Björnson, Cicek Cavdar:
Cell-Free Massive MIMO in O-RAN: Energy-Aware Joint Orchestration of Cloud, Fronthaul, and Radio Resources. - Md. Masud Rana, Duc Duy Nguyen:
Geometric Graph Learning with Extended Atom-Types Features for Protein-Ligand Binding Affinity Prediction. - Songkai Xue, Yuekai Sun, Mikhail Yurochkin:
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees. - Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh, Kannan Ramchandran:
Efficiently Computing Sparse Fourier Transforms of q-ary Functions. - Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid, Sanjay N. Talbar:
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis. - Guangyu Wu, Anders Lindquist:
General Distribution Steering: A Sub-Optimal Solution by Convex Optimization. - I. Zakir Ahmed, Hamid R. Sadjadpour, Shahram Yousefi:
An information-theoretic branch-and-prune algorithm for discrete phase optimization of RIS in massive MIMO. - D. K. Arvind, Sharan Maiya:
Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics. - Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - Laia Domingo, M. Djukic, C. Johnson, Florentino Borondo:
Hybrid quantum-classical convolutional neural networks to improve molecular protein binding affinity predictions. - Pierre-Cyril Aubin-Frankowski, Alessandro Rudi:
Approximation of optimization problems with constraints through kernel Sum-Of-Squares. - Anuja Vats, Marius Pedersen, Ahmed Kedir Mohammed, Øistein Hovde:
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images. - Eric Goubault:
A semi-abelian approach to directed homology. - Conrad Crowley, Marco Vitturi:
A conditional bound on sphere tangencies in all dimensions. - Lesi Chen, Jing Xu, Luo Luo:
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization. - Jonas Christian Ditz, Jacqueline Wistuba-Hamprecht, Timo Maier, Rolf Fendel, Nico Pfeifer, Bernhard Reuter:
PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate Prediction. - Hassan Taherian, DeLiang Wang:
Multi-resolution location-based training for multi-channel continuous speech separation. - Benedikt Fesl, Nurettin Turan, Michael Joham, Wolfgang Utschick:
Learning a Gaussian Mixture Model from Imperfect Training Data for Robust Channel Estimation. - Kaito Ito, Kenji Kashima:
Entropic Model Predictive Optimal Transport over Dynamical Systems. - Joowon Lim, Jannes Gladrow, Douglas Kelly, Greg O'Shea, Govert Verkes, Ioan A. Stefanovici, Sebastian Nowozin, Benn Thomsen:
High-bandwidth Close-Range Information Transport through Light Pipes. - Yunchuan Zhang, Osvaldo Simeone, Sharu Theresa Jose, Lorenzo Maggi, Alvaro Valcarce:
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management. - Mu Niu, Zhenwen Dai, Pokman Cheung, Yizhu Wang:
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics. - Jesse Islam, Maxime Turgeon, Robert Sladek, Sahir Bhatnagar:
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactions. - Vincent Lauinger, Fred Buchali, Laurent Schmalen:
Improving the Bootstrap of Blind Equalizers with Variational Autoencoders. - Sergey S. Tambovskiy, Gábor Fodor, Hugo M. Tullberg:
Antenna Array Calibration Via Gaussian Process Models. - Sergiy V. Borodachov:
Universal minima of potentials of certain spherical designs contained in the fewest parallel hyperplanes. - Dounia Lakhmiri, Mahdi Zolnouri, Vahid Partovi Nia, Christophe Tribes, Sébastien Le Digabel:
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm. - Kristóf Bérczi, Endre Boros, Kazuhisa Makino:
Matroid Horn functions. - Pablo Pérez-Lantero, Carlos Seara:
Center of maximum-sum matchings of bichromatic points. - Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Nhat-Tan Bui, Minh-Triet Tran, Hai-Dang Nguyen:
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation. - Hengrong Lan, Lijie Huang, Liming Nie, Jianwen Luo:
Cross-domain Unsupervised Reconstruction with Equivariance for Photoacoustic Computed Tomography. - R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri:
Optimal Placement of Active and Passive Elements in Hybrid RIS-assisted Communication Systems. - (Withdrawn) Coronal Hole Analysis and Prediction using Computer Vision and LSTM Neural Network.
- Ivan D. Remizov:
Chernoff approximations as a way of finding the resolvent operator with applications to finding the solution of linear ODE with variable coefficients. - Lei Li, Jian-Guo Liu, Yuliang Wang:
Geometric ergodicity of SGLD via reflection coupling. - Maxime Casanova, Barbara Dalena, Luca Bonaventura, Massimo Giovannozzi:
Ensemble Reservoir Computing for Dynamical Systems: Prediction of Phase-Space Stable Region for Hadron Storage Rings. - Rémy Peyret, Nicolas Pozin, Stéphane Sockeel, Solène-Florence Kammerer-Jacquet, Julien Adam, Claire Bocciarelli, Yoan Ditchi, Christophe Bontoux, Thomas Depoilly, Loris Guichard, Elisabeth Lanteri, Marie Sockeel, Sophie Prévot:
Multicenter automatic detection of invasive carcinoma on breast whole slide images. - A. V. Dobshik, S. K. Verbitskiy, I. A. Pestunov, K. M. Sherman, Yu. N. Sinyavskiy, A. A. Tulupov, Vladimir B. Berikov:
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks. - Konstantin Mishchenko, Slavomír Hanzely, Peter Richtárik:
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes. - Artemy Kolchinsky:
Generalized Zurek's bound on the cost of an individual classical or quantum computation. - Friedrich Pillichshammer:
The BMO-discrepancy suffers from the curse of dimensionality. - Lucas Friedrich, Jonas Maziero:
The quantum cost function concentration dependency on the parametrization expressivity. - Bishwadeep Das, Elvin Isufi:
Online Filtering over Expanding Graphs. - Gabriel Turinici:
Deep Conditional Measure Quantization. - Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio:
MAFUS: a Framework to predict mortality risk in MAFLD subjects. - Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement. - Hanna Tseran, Guido Montúfar:
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization. - Pallabi Dutta, Sushmita Mitra:
Mixed Attention with Deep Supervision for Delineation of COVID Infection in Lung CT. - Farzad Pourbabaee, Federico Echenique:
Binary Mechanisms under Privacy-Preserving Noise. - Wenqiang Yang, Wenyuan Wu, Greg Reid:
General Index Reduction by Embedding for Integro-differential-algebraic Equations. - José Alonso Solís-Lemus, Tiffany Baptiste, Rosie K. Barrows, Charles Sillett, Ali Gharaviri, Giulia Raffaele, Orod Razeghi, Marina Strocchi, Iain Sim, Irum Kotadia, Neil Bodagh, Daniel O'Hare, Mark D. O'Neill, Steven E. Williams, Caroline H. Roney, Steven A. Niederer:
Model Reproducibility Study on Left Atrial Fibres. - V. A. Aksyuk:
Consciousness is learning: predictive processing systems that learn by binding may perceive themselves as conscious. - Gabriel Jimenez, Daniel Racoceanu:
Computational Pathology for Brain Disorders. - John C. Duchi, Saminul Haque, Rohith Kuditipudi:
A Fast Algorithm for Adaptive Private Mean Estimation. - Eduard Rohan, Jan Heczko:
Homogenization and numerical algorithms for two-scale modelling of porous media with self-contact in micropores. - Mahdiyar Mousavi-Sadr, Davood M. Jassur, Ghassem Gozaliasl:
Revisiting mass-radius relationships for exoplanet populations: a machine learning insight. - Young-Eun Lee, Seo-Hyun Lee, Sang-Ho Kim, Seong-Whan Lee:
Towards Voice Reconstruction from EEG during Imagined Speech. - Agustin Kruel, Andrew D. McNaughton, Neeraj Kumar:
Scaffold-Based Multi-Objective Drug Candidate Optimization. - Antonio Rieser:
A Note on the Simplex-Tree Construction of the Vietoris-Rips Complex. - Louna Alsouki, Laurent Duval, Clément Marteau, Rami El Haddad, François Wahl:
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data. - Rob Cornish, Muhammad Faaiz Taufiq, Arnaud Doucet, Chris C. Holmes:
Causal Falsification of Digital Twins. - Andrii Maksymov, Jason Nguyen, Yunseong Nam, Igor L. Markov:
Enhancing quantum computer performance via symmetrization. - Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu, Aaron Carass, Jonghye Woo, Jerry L. Prince:
Deep Unsupervised Phase-based 3D Incompressible Motion Estimation in Tagged-MRI. - Norihisa Namura, Tsubasa Ishii, Hiroya Nakao:
Designing two-dimensional limit-cycle oscillators with prescribed trajectories and phase-response characteristics. - Yuki Furue, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo:
Efficient correlation-based discretization of continuous variables for annealing machines. - Yunpu Zhang, Changsheng You, Li Chen, Beixiong Zheng:
Mixed Near- and Far-Field Communications for Extremely Large-Scale Array: An Interference Perspective. - Frederick Law, Antoine J. Cerfon, Benjamin Peherstorfer, Florian Wechsung:
Meta variance reduction for Monte Carlo estimation of energetic particle confinement during stellarator optimization. - Cecilia G. Morales, Jason Yao, Tejas Rane, Robert Edman, Howie Choset, Artur Dubrawski:
Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction. - Sihong Shao, Lili Su:
Nonlocalization of singular potentials in quantum dynamics. - Jacob Knaup, Panagiotis Tsiotras:
Computationally Efficient Covariance Steering for Systems Subject to Parametric Disturbances and Chance Constraints. - Aranyak Mehta, Andrés Perlroth:
Auctions without commitment in the auto-bidding world. - Yajie Zhang, Ce Yu, Chao Sun, Jian Xiao, Kun Li, Yifei Mu, Chenzhou Cui:
HLC2: a highly efficient cross-matching framework for large astronomical catalogues on heterogeneous computing environments. - Muhammad Usman Farooq, Tobias Fritz, Erkka Haapasalo, Marco Tomamichel:
Asymptotic and catalytic matrix majorization. - Bálint Máté, François Fleuret:
Learning Deformation Trajectories of Boltzmann Densities. - Ross Drummond, Nicola E. Courtier, David A. Howey, Luis D. Couto, Chris Guiver:
Constrained optimal control of monotone systems with applications to battery fast-charging. - Yuanyuan Peng, Lin Pan, Pengpeng Luan, Hongbin Tu, Xiong Li:
Curvilinear object segmentation in medical images based on ODoS filter and deep learning network. - Liaquat Hossain:
Towards the development of Dynamic Networked Psychology Hypotheses. - Soronzonbold Otgonbaatar, Dieter Kranzlmüller:
Quantum-inspired tensor network for Earth science. - Tommi Brander, Daniel Lesnic, Kai Cao:
Inverse problems for a model of biofilm growth. - Tianyi Li, Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso:
Generative Adversarial Networks to infer velocity components in rotating turbulent flows. - Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Hang Lou, Hao Ni, Ross D. King:
Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction. - Michael Aerni, Marco Milanta, Konstantin Donhauser, Fanny Yang:
Strong inductive biases provably prevent harmless interpolation. - Alex Alberts, Ilias Bilionis:
Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty Quantification. - Jeffrey S. Buzas:
An Analysis of Loss Functions for Binary Classification and Regression. - Manuel Dubinsky, César Massri, Gabriel Taubin:
Three aspects of the MSTCI problem. - Jakob Zeitler, Athanasios Vlontzos, Ciarán M. Gilligan-Lee:
Non-parametric identifiability and sensitivity analysis of synthetic control models. - Shuaifeng Jiang, Ahmed Alkhateeb:
Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality? - Tony Metger, Henry Yuen:
stateQIP = statePSPACE. - Abid Khan, Chia-Hao Lee, Pinshane Y. Huang, Bryan K. Clark:
Using CycleGANs to Generate Realistic STEM Images for Machine Learning. - Baocheng Geng, Pramod K. Varshney:
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities. - Nandan Sriranga, Baocheng Geng, Pramod K. Varshney:
Sequential Processing of Observations in Human Decision-Making Systems. - Patricio Clark Di Leoni, Lokahith Agasthya, Michele Buzzicotti, Luca Biferale:
Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks. - Marlon Sproesser Mathias, Wesley Pereira de Almeida, Marcel Rodrigues de Barros, Jefferson Fialho Coelho, Lucas Palmiro de Freitas, Felipe Marino Moreno, Caio Fabricio Deberaldini Netto, Fábio Gagliardi Cozman, Anna Helena Reali Costa, Eduardo Aoun Tannuri, Edson Satoshi Gomi, Marcelo Dottori:
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points. - Yuanyuan Li, Kai Wu, Jing Liu:
Discover governing differential equations from evolving systems. - Hang Zhang, Rongguang Wang, Jinwei Zhang, Dongdong Liu, Chao Li, Jiahao Li:
Spatially Covariant Lesion Segmentation. - Johannes Pardey, Dieter Rautenbach:
Vertex degrees close to the average degree. - Philip J. Herbert:
Shape Optimisation with W1, ∞: A connection between the steepest descent and Optimal Transport. - Tim Johnston, Iosif Lytras, Sotirios Sabanis:
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity - the Strongly Convex Case. - Jorn van Kampen, Thomas Herrmann, Theo Hofman, Mauro Salazar:
Optimal Endurance Race Strategies for a Fully Electric Race Car under Thermal Constraints. - Axel Ciceri, Thomas Fischbacher:
On backpropagating Hessians through ODEs. - Dimitra Maoutsa:
Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems. - Peter Hertling, Philip Janicki:
Nearly Computable Real Numbers. - Erik Buhmann, Gregor Kasieczka, Jesse Thaler:
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets. - Ottaviano Rüsch, Valentin Tertius Bickel:
Global mapping of fragmented rocks on the Moon with a neural network: Implications for the failure mode of rocks on airless surfaces. - Kay Lehnert:
AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos with ChatGPT. - Alwyn Mathew, Ludovic Magerand, Emanuele Trucco, Luigi Manfredi:
SoftEnNet: Symbiotic Monocular Depth Estimation and Lumen Segmentation for Colonoscopy Endorobots. - Dmytro Bondarenko, Robert Salzmann, Viktoria-S. Schmiesing:
Learning Quantum Processes with Memory - Quantum Recurrent Neural Networks. - Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic:
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating. - Wolfgang König, Charles Kwofie:
The throughput in multi-channel (slotted) ALOHA: large deviations and analysis of bad events. - Jenish C. Mehta:
Combinatorial and Algebraic Properties of Nonnegative Matrices. - Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts:
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. - Juan Miguel Lopez Alcaraz, Nils Strodthoff:
Diffusion-based Conditional ECG Generation with Structured State Space Models. - Burak Varici, Emre Acartürk, Karthikeyan Shanmugam, Abhishek Kumar, Ali Tajer:
Score-based Causal Representation Learning with Interventions. - Andrew Na, Justin Wan:
Efficient Pricing and Hedging of High Dimensional American Options Using Recurrent Networks. - Veronica Ferrari, Rosalba Calvini, Bas Boom, Camilla Menozzi, Aravind Krishnaswamy Rangarajan, Lara Maistrello, Peter Offermans, Alessandro Ulrici:
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug. - Olatunji Olayiwola, Vu Nguyen, Randy Andres, Ning Liu:
The application of Nano-silica gel in sealing well micro-annuli and cement channeling. - Francesco Giuseppe Cordoni, Marta Missiaggia, Emanuele Scifoni, Chiara La Tessa:
An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model. - Peter I Renn, Cong Wang, Sahin Lale, Zongyi Li, Anima Anandkumar, Morteza Gharib:
Forecasting subcritical cylinder wakes with Fourier Neural Operators. - Juan Carrasquilla, Mohamed Hibat-Allah, Estelle M. Inack, Alireza Makhzani, Kirill Neklyudov, Graham W. Taylor, Giacomo Torlai:
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition. - Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil:
The role of noise in denoising models for anomaly detection in medical images. - A. Steklain, M. Adames, F. Ganacim:
Improving Reflexive Surfaces Efficiency with Genetic Algorithms. - Abramo Agosti, Pierluigi Colli, Harald Garcke, Elisabetta Rocca:
A Cahn-Hilliard phase field model coupled to an Allen-Cahn model of viscoelasticity at large strains. - Yuanrong Wang, Vignesh Raja Swaminathan, Nikita P. Granger, Carlos Ros Perez, Christian Michler:
Deep Reinforcement Learning for Power Trading. - George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction. - Sara Kim, Kyusang Yu, Yongdai Kim:
Within-group fairness: A guidance for more sound between-group fairness. - Namitha Liyanage, Yue Wu, Alexander Deters, Lin Zhong:
Scalable Quantum Error Correction for Surface Codes using FPGA. - Anass Akrim, Christian Gogu, Rob A. Vingerhoeds, Michel Salaün:
Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem. - Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma:
Online switching control with stability and regret guarantees. - Pilhyeon Lee, Seogkyu Jeon, Sunhee Hwang, Minjung Shin, Hyeran Byun:
Source-free Subject Adaptation for EEG-based Visual Recognition. - Matthew de Brecht, Takayuki Kihara, Victor L. Selivanov:
Ideal presentations and numberings of some classes of effective quasi-Polish spaces. - Wardah Ali, Eesha Qureshi, Omama Ahmed Farooqi, Rizwan Ahmed Khan:
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance. - Colin Cooper, Martin E. Dyer, Catherine S. Greenhill:
A triangle process on graphs with given degree sequence. - Donia Ben Amor, Michael Joham, Wolfgang Utschick:
Asymptotic Behavior of Zero-Forcing Precoding based on Imperfect Channel Knowledge for Massive MISO FDD Systems. - Nicholas Chong Jia Le, Ling Feng:
Self-Organization Towards 1/f Noise in Deep Neural Networks. - Zoltan Galaz, Jirí Mekyska, Jan Mucha, Vojtech Zvoncak, Zdenek Smékal, Marcos Faúndez-Zanuy, Lubos Brabenec, Ivona Moravkova, Irena Rektorová:
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. - Linnéa Gyllingberg, Abeba Birhane, David J. T. Sumpter:
The Lost Art of Mathematical Modelling. - Zoé Berenger, Loïc Denis, Florence Tupin, Laurent Ferro-Famil, Yue Huang:
A Deep Learning Approach for SAR Tomographic Imaging of Forested Areas. - Sofia Ek, Dave Zachariah:
Offline Policy Evaluation with Out-of-Sample Guarantees. - Joshua Ziegler, Florian Luthi, Mick Ramsey, Felix Borjans, Guoji Zheng, Justyna P. Zwolak:
Automated extraction of capacitive coupling for quantum dot systems. - Harbir Antil, Sergey Dolgov, Akwum Onwunta:
State-constrained Optimization Problems under Uncertainty: A Tensor Train Approach. - Peer Nagy, Jan-Peter Calliess, Stefan Zohren:
Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets. - Marthe Bonamy, Fábio Botler, François Dross, Tássio Naia, Jozef Skokan:
Separating the edges of a graph by a linear number of paths. - Mahendra Samarawickrama:
Unifying Consciousness and Time to Enhance Artificial Intelligence. - Honggui Li, Maria Trocan, Mohamad Sawan, Dimitri Galayko:
CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution. - Amir Said, Reza Pourreza, Hoang Le:
Optimized learned entropy coding parameters for practical neural-based image and video compression. - Christian Schmidt, Heinrich Martin Overhoff:
Estimation of mitral valve hinge point coordinates - deep neural net for echocardiogram segmentation. - Xiaoqing Tan:
Causal Inference under Data Restrictions. - Yunan Wu, Amil Dravid, Ramsey Michael Wehbe, Aggelos K. Katsaggelos:
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels. - Md. Selim, Jie Zhang, Michael A. Brooks, Ge Wang, Jin Chen:
DiffusionCT: Latent Diffusion Model for CT Image Standardization. - Daniel Schwalbe-Koda:
mkite: A distributed computing platform for high-throughput materials simulations. - Chi Zhang, Eric Z. Chen, Xiao Chen, Yikang Liu, Terrence Chen, Shanhui Sun:
Dynamic MLP for MRI Reconstruction. - Fouzia Altaf, Syed M. S. Islam, Naeem Khalid Janjua, Naveed Akhtar:
Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection. - Haoya Li, Hongkang Ni, Lexing Ying:
On efficient quantum block encoding of pseudo-differential operators. - Jennifer Williams, Karla Pizzi, Shuvayanti Das, Paul-Gauthier Noé:
New Challenges for Content Privacy in Speech and Audio. - Yuhan Li, Wenzhuo Zhou, Ruoqing Zhu:
Quasi-optimal Learning with Continuous Treatments. - Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI. - Arshak Minasyan, Nikita Zhivotovskiy:
Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians. - Arash Nasr-Esfahany, Emre Kiciman:
Counterfactual (Non-)identifiability of Learned Structural Causal Models. - Kwangje Baeg, Yeong-Gwan Kim, Youngsub Han, Byoung-Ki Jeon:
Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification. - Erel Segal-Halevi, Warut Suksompong:
Cutting a Cake Fairly for Groups Revisited. - Zidong Wu, Linglong Dai:
Location Division Multiple Access for Near-Field Communications. - Gianluca Giacchi, Bastien Milani, Benedetta Franchieschiello:
On the determination of optimal tuning parameters for a space-variant LASSO problem using geometric and convex analysis techniques. - Efthyvoulos Drousiotis, Paul G. Spirakis, Simon Maskell:
Parallel Approaches to Accelerate Bayesian Decision Trees. - Yi-Shuai Niu:
An Accelerated DC Programming Approach with Exact Line Search for The Symmetric Eigenvalue Complementarity Problem. - Li-Chun Zhang, Danhyang Lee:
Design-based individual prediction. - Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski:
Explainable Quantum Machine Learning. - (Withdrawn) On the size of maximum cut in planar graphs.
- Phillip M. Maffettone, Daniel B. Allan, Stuart I. Campbell, Matthew R. Carbone, Thomas A. Caswell, Brian L. DeCost, Dmitri Gavrilov, Marcus D. Hanwell, Howie Joress, Joshua K. Lynch, Bruce Ravel, Stuart B. Wilkins, Jakub Wlodek, Daniel Olds:
Self-driving Multimodal Studies at User Facilities. - Omar Fawzi, Aadil Oufkir, Daniel Stilck França:
Lower Bounds on Learning Pauli Channels. - Wangyang Yu, W. Bastiaan Kleijn:
Estimation of Source and Receiver Positions, Room Geometry and Reflection Coefficients From a Single Room Impulse Response. - Nikolai Krivulin:
Algebraic solution to box-constrained bi-criteria problem of rating alternatives through pairwise comparisons. - Jialin Yi, Milan Vojnovic:
Doubly Adversarial Federated Bandits. - Prabhanjan Ananth, Zihan Hu, Henry Yuen:
On the (Im)plausibility of Public-Key Quantum Money from Collision-Resistant Hash Functions. - Yongming Li, Ariel Neufeld:
Quantum Monte Carlo algorithm for solving Black-Scholes PDEs for high-dimensional option pricing in finance and its proof of overcoming the curse of dimensionality. - Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas K. Maier:
Classification of Luminal Subtypes in Full Mammogram Images Using Transfer Learning. - Amin Coja-Oghlan, Mihyun Kang, Lena Krieg, Maurice Rolvien:
The k-XORSAT threshold revisited. - Anderson Ye Zhang:
Fundamental Limits of Spectral Clustering in Stochastic Block Models. - Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference. - Ömer Faruk Tuna, Fehmi Emre Kadan, Leyli Karaçay:
Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network. - Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. - Alberto Iess, Elena Cuoco, Filip Morawski, Constantina Nicolaou, Ofer Lahav:
LSTM and CNN application for core-collapse supernova search in gravitational wave real data. - Martin J. Hetz, Tabea-Clara Bucher, Titus J. Brinker:
Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images. - Thibaut Eloy, Étienne Baudrier, Marine Laporte, Virginie Hamel, Paul Guichard, Denis Fortun:
Fast and robust single particle reconstruction in 3D fluorescence microscopy. - Andrew Starnes, Anton Dereventsov, E. Susanne Blazek, Folasade Phillips:
Modeling Non-deterministic Human Behaviors in Discrete Food Choices. - Anurag Bishnoi, Jozefien D'haeseleer, Dion Gijswijt, Aditya Potukuchi:
Blocking sets, minimal codes and trifferent codes. - Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin:
Modality-Agnostic Variational Compression of Implicit Neural Representations. - Pawan Goyal, Igor Pontes Duff, Peter Benner:
Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction. - Clément Dallard, Vadim V. Lozin, Martin Milanic, Kenny Storgel, Viktor Zamaraev:
Functionality of box intersection graphs. - Wenquan Cui, Yue Zhao, Jianjun Xu, Haoyang Cheng:
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression. - Ruiwen Dong:
The Identity Problem in the special affine group of Z2. - Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup:
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model. - Lu Xia, Michiel E. Hochstenbach, Stefano Massei:
On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality. - Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau:
A New Approach to Learning Linear Dynamical Systems. - Nima Hatami:
DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis. - Dmitriy Kunisky:
Generic MANOVA limit theorems for products of projections. - Rahul Parhi, Robert D. Nowak:
Deep Learning Meets Sparse Regularization: A Signal Processing Perspective. - Maxime Girard, Jiamu Jiang, Mark C. W. van Rossum:
Estimating the energy requirements for long term memory formation. - Amarpal Sahota, Amber Roguski, Matthew W. Jones, Michal Rolinski, Alan L. Whone, Raúl Santos-Rodriguez, Zahraa S. Abdallah:
A Time Series Approach to Parkinson's Disease Classification from EEG. - Hongjian Wang, Aaditya Ramdas:
Huber-Robust Confidence Sequences. - Gianira N. Alfarano, Martino Borello, Alessandro Neri:
Outer Strong Blocking Sets. - Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images. - Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic:
Prediction-Powered Inference. - Zhangyang Gao, Cheng Tan, Stan Z. Li:
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints. - Ravi B. Boppana:
A Useful Inequality for the Binary Entropy Function. - Gustavo Grivol, Rafael Izbicki, Alex A. Okuno, Rafael Bassi Stern:
Flexible conditional density estimation for time series. - Ahmet Karagoz, Mustafa Ege Seker, Mert Yergin, Tarkan Atak Kan, Mustafa Said Kartal, Ercan Karaarslan, Deniz Alis, Ilkay Öksüz:
Prostate Lesion Estimation using Prostate Masks from Biparametric MRI. - Omar Chehab, Alexandre Gramfort, Aapo Hyvärinen:
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation. - Jiaqi Guo, Amy R. Reibman, Edward J. Delp:
Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification. - Hamza El-Kebir, Junren Ran, Yongseok Lee, Leonardo P. Chamorro, Martin Ostoja-Starzewski, Richard Berlin, Gabriela M. Aguiluz Cornejo, Enrico Benedetti, Pier C. Giulianotti, Joseph Bentsman:
Minimally Invasive Live Tissue High-fidelity Thermophysical Modeling using Real-time Thermography. - Faraz Ghahremani, Edon Kelmendi, Joël Ouaknine:
Reachability in Injective Piecewise Affine Maps. - Gunbir Singh Baveja, Jaspreet Singh:
Earthquake Magnitude and b value prediction model using Extreme Learning Machine. - Amir Said, Manish Kumar Singh, Reza Pourreza:
Differentiable bit-rate estimation for neural-based video codec enhancement. - Xinjie Zhang, Jiawei Shao, Jun Zhang:
LDMIC: Learning-based Distributed Multi-view Image Coding. - Kevin M. Silva, Kevin J. Maki:
Implementation of the Critical Wave Groups Method with Computational Fluid Dynamics and Neural Networks. - László F. Papp:
Restricted optimal pebbling is NP-hard. - Carlos Puerto-Santana, Concha Bielza, Pedro Larrañaga, Gustav Eje Henter:
Context-specific kernel-based hidden Markov model for time series analysis. - Azadeh Fakhrzadeh, Pouya Karimian, Mahsa Meyari, Cris L. Luengo Hendriks, Lena Holm, Christian Sonne, Rune Dietz, Ellinor Spörndly-Nees:
Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue. - David Fernández-Duque, Yoàv Montacute:
Dynamic Tangled Derivative Logic of Metric Spaces. - Kai Du, Yifan Jiang, Xiaochen Li:
Sequential propagation of chaos. - Giuliano Taffoni, Sara Bertocco, Dave Morris, Manuel Parra-Royón, Klaas Kliffen, Marco Molinaro, John Swinbank, Susana Sánchez-Expósito:
Feasibility of access EGI resources through the ESCAPE developed ESFRI Science Analysis Platform. - Mingwei Yang, Elizabeth Robertson, Luisa Esguerra, Kurt Busch, Janik Wolters:
Optical convolutional neural network with atomic nonlinearity. - Dmitrii Pavlov:
Logarithmically Sparse Symmetric Matrices. - Josu Etxezarreta Martinez, Antonio deMarti iOlius, Pedro M. Crespo:
The superadditivity effects of quantum capacity decrease with the dimension for qudit depolarizing channels. - Lucille Calmon, Michael T. Schaub, Ginestra Bianconi:
Dirac signal processing of higher-order topological signals. - Tzu-Ya Lai, Wen Jung Cheng, Jun-En Ding:
Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract). - María Martínez-García, Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data. - Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink, Christopher Reining:
Dataset Bias in Human Activity Recognition. - Sadaf Moaveninejad, Andrea Janes:
Lowering Detection in Sport Climbing Based on Orientation of the Sensor Enhanced Quickdraw. - Christopher Wimmer, Navid Rekabsaz:
Leveraging Vision-Language Models for Granular Market Change Prediction. - Tao Yan, Maoqi Zhang, Sen Wan, Kaifeng Shang, Haiou Zhang, Xun Cao, Xing Lin, Qionghai Dai:
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units. - Atifa Sarwar, Emmanuel O. Agu:
CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 using Biobehavioral Rhythms Derived from Wearable Physiological Data. - Ishtiaq Ahmad, Aftab Hussain:
Co-channel Interference Management for the Next-Generation Heterogeneous Networks using Deep Leaning. - Jinbao Zhang, Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Yongjun Qian, Fan Pan:
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification. - Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian:
Enhanced Sharp-GAN For Histopathology Image Synthesis. - Sandra Nestler, Moritz Helias, Matthieu Gilson:
Neuronal architecture extracts statistical temporal patterns. - Chaoqian Wang, Attila Szolnoki:
Evolution of cooperation under a generalized death-birth process. - Stefan Riedel, Matthias Frank, Franz Zotter:
Perceptual evaluation of listener envelopment using spatial granular synthesis. - Xueshen Li, Yu Gan, David Duan, Xiao Yang:
Detecting and measuring human gastric peristalsis using magnetically controlled capsule endoscope. - Dennis Eschweiler, Johannes Stegmaier:
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets. - Yuantong Li, Guang Cheng, Xiaowu Dai:
Double Matching Under Complementary Preferences. - Matthijs Mars, Marta M. Betcke, Jason D. McEwen:
Learned Interferometric Imaging for the SPIDER Instrument. - Xiwen Liu, Keshava Katti, Deep Jariwala:
Accelerate & Actualize: Can 2D Materials Bridge the Gap Between Neuromorphic Hardware and the Human Brain? - Wuchen Li, Siting Liu, Stanley J. Osher:
A kernel formula for regularized Wasserstein proximal operators. - Ron Aharoni, He Guo:
Tight infinite matrices. - Lu Yang, Xiuwen Sun, Boumediene Hamzi, Houman Owhadi, Naiming Xie:
Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems. - Atakan Coban, Niyazi Coban:
Using Arduino in Physics Experiments: Determining the Speed of Sound in Air. - Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland:
Data Consistent Deep Rigid MRI Motion Correction. - Qin Li, Junyu Quan, Jinjing Shi, Shichao Zhang, Xuelong Li:
Delegated variational quantum algorithms based on quantum homomorphic encryption. - Chengqian Ma, Zhiqiang Wu, Chunlei Cai, Pengwei Zhang, Yi Wang, Long Zheng, Chao Chen, Quan Zhou:
Rate-Perception Optimized Preprocessing for Video Coding. - Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab:
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. - Jiasheng Zhu, Luyao Zhang:
Educational Game on Cryptocurrency Investment: Using Microeconomic Decision Making to Understand Macroeconomic Principles. - Boris Lohmann, Joscha Bongard:
A Discussion on Nonlinear Quadratic Control and Sontag's Formula. - Aysenaz Ezgi Ergin, Deniz Turgay Altilar:
Consensus Algorithm For Calculation Of Protein Binding Affinity Using Multiple Models. - Jan Krajícek:
Extended Nullstellensatz proof systems. - Shmuel Friedland, Stéphane Gaubert:
Bit-complexity estimates in geometric programming, and application to the polynomial-time computation of the spectral radius of nonnegative tensors. - Iván de Andrés Tamé, Kirill Sirotkin, Pablo Carballeira, Marcos Escudero-Viñolo:
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification. - Benjamin W. Walker, Alexander J. Edwards, Xuan Hu, Michael P. Frank, Felipe García-Sánchez, Joseph S. Friedman:
Near-Landauer Reversible Skyrmion Logic with Voltage-Based Propagation. - Mohammadreza Chamanbaz, Roland Bouffanais:
A Sequential Deep Learning Algorithm for Sampled Mixed-integer Optimisation Problems. - Kishore Vasan, Deisy Morselli Gysi, Albert-László Barabási:
The Clinical Trials Puzzle: How Network Effects Limit Drug Discovery. - Zhichao Peng, Daniel Appelö, N. Anders Petersson, Fortino Garcia, Yujin Cho:
Mathematical approaches for characterization, control, calibration and validation of a quantum computing device. - Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang:
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. - Alberto Rech, Matteo Pagin, Stefano Tomasin, Federico Moretto, Leonardo Badia, Marco Giordani, Jonathan Gambini, Michele Zorzi:
Downlink TDMA Scheduling for IRS-aided Communications with Block-Static Constraints. - Shahar Lutati, Eliya Nachmani, Lior Wolf:
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation. - Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Cheng Tan, Zhangyang Gao, Stan Z. Li:
Generative Tertiary Structure-based RNA Design. - Kinga Anna Wozniak, Vasilis Belis, Ema Puljak, Panagiotis Kl. Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa:
Quantum anomaly detection in the latent space of proton collision events at the LHC. - Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli:
Unravelling physics beyond the standard model with classical and quantum anomaly detection. - Mensur Omerbashich:
Sun resonant forcing of Mars, Moon, and Earth seismicity. - Timo Dimitriadis, Tilmann Gneiting, Alexander I. Jordan, Peter Vogel:
Evaluating Probabilistic Classifiers: The Triptych. - Wengong Jin, Siranush Sarkizova, Xun Chen, Nir Hacohen, Caroline Uhler:
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation. - Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi:
TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction. - Maria Perepechaenko, Randy Kuang:
Quantum Encryption of superposition states with Quantum Permutation Pad in IBM Quantum Computers. - Erik Sverdrup, Yifan Cui:
Proximal Causal Learning of Heterogeneous Treatment Effects. - Kai Fukami, Koji Fukagata, Kunihiko Taira:
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows. - Yuxuan Lu, Qian Qi, Xi Chen:
A Framework of Transaction Packaging in High-throughput Blockchains. - Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak:
A Fully First-Order Method for Stochastic Bilevel Optimization. - Atul Dhingra, Jie Shen, Nicholas Kleene:
Learning Large Scale Sparse Models. - V. Ironmonger, Nik Ruskuc:
Decidability of well quasi-order and atomicity for equivalence relations under embedding orderings. - Curtis Bright:
A New Lower Bound in the abc Conjecture. - Jun Wang, Yue Song, David John Hill, Yunhe Hou:
An Analytical Formula for Stability Sensitivity Using SDP Dual. - Ildar Rakhmatulin:
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report. - Luka V. Petrovic, Vincenzo Perri:
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs. - Giacomo Lancia, Meri Varkila, Olaf L. Cremer, Cristian Spitoni:
Two-step interpretable modeling of Intensive Care Acquired Infections. - Masahiro Morikawa, Akika Nakamichi:
A simple model for pink noise from amplitude modulations. - Adam Block, Max Simchowitz, Russ Tedrake:
Smoothed Online Learning for Prediction in Piecewise Affine Systems. - Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek:
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. - Lucas Villanueva, Miguel Martinez Valero, Anina Sarkic Glumac, Marcello Meldi:
Augmented state estimation of urban settings using intrusive sequential Data Assimilation. - Derek Gloudemans, Yanbing Wang, Junyi Ji, Gergely Zachár, William Barbour, Daniel B. Work:
I-24 MOTION: An instrument for freeway traffic science. - Tomás Dlask, Bogdan Savchynskyy:
Relative-Interior Solution for (Incomplete) Linear Assignment Problem with Applications to Quadratic Assignment Problem. - Sebastian Pauli, Filip Saidak:
A Bound for Stieltjes Constants. - Shahine Bouabid, Jake Fawkes, Dino Sejdinovic:
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge. - Itai Arieli, Yakov Babichenko, Stephan Müller, Farzad Pourbabaee, Omer Tamuz:
The Hazards and Benefits of Condescension in Social Learning. - (Withdrawn) Online Convex Optimization with Stochastic Constraints: Zero Constraint Violation and Bandit Feedback.
- Will Rieger:
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition. - Ahmed Alkhateeb, Shuaifeng Jiang, Gouranga Charan:
Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond. - John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
The Quantum Alternating Operator Ansatz for Satisfiability Problems. - Louis Sharrock, Christopher Nemeth:
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates. - Malte Hoffmann, Andrew Hoopes, Douglas N. Greve, Bruce Fischl, Adrian V. Dalca:
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph. - Mikhail Konobeev, Jalal Etesami, Negar Kiyavash:
Causal Bandits without Graph Learning. - QiZhi He, Mauro Perego, Amanda A. Howard, George Em Karniadakis, Panos Stinis:
A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling. - Mikolaj Babianski, Kamil Pokora, Raahil Shah, Rafal Sienkiewicz, Daniel Korzekwa, Viacheslav Klimkov:
On granularity of prosodic representations in expressive text-to-speech. - Omar S. Ads, Mayar M. Alfares, Mohammed A.-M. Salem:
Multi-limb Split Learning for Tumor Classification on Vertically Distributed Data. - Jeffrey O. Shallit:
Proof of a conjecture of Krawchuk and Rampersad. - Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser:
Ananke: A Python Package For Causal Inference Using Graphical Models. - (Withdrawn) Diffusion Denoising for Low-Dose-CT Model.
- Omar Alzeley, Sadiah Aljeddani:
Machine Learning Approach and Extreme Value Theory to Correlated Stochastic Time Series with Application to Tree Ring Data. - Ziyi Liang, Yanfei Zhou, Matteo Sesia:
Conformal inference is (almost) free for neural networks trained with early stopping. - Akihiro Hayashi, Austin Adams, Jeffrey Young, Alexander J. McCaskey, Eugene F. Dumitrescu, Vivek Sarkar, Thomas M. Conte:
Enabling Multi-threading in Heterogeneous Quantum-Classical Programming Models. - Matthew J. Holland:
Robust variance-regularized risk minimization with concomitant scaling. - Yu Inatsu, Ichiro Takeuchi:
Distributionally Robust Multi-objective Bayesian Optimization under Uncertain Environments. - Rutger Campbell, Florian Hörsch, Benjamin R. Moore:
Decompositions into two linear forests of bounded lengths. - Luka V. Petrovic, Anatol E. Wegner, Ingo Scholtes:
Higher-Order Patterns Reveal Causal Timescales of Complex Systems. - Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux:
Learning the Dynamics of Sparsely Observed Interacting Systems. - Kalle Alaluusua, Konstantin Avrachenkov, B. R. Vinay Kumar, Lasse Leskelä:
Multilayer hypergraph clustering using the aggregate similarity matrix. - Kevin H. Lam, Christian J. Walder, Spiridon I. Penev, Richard Nock:
LegendreTron: Uprising Proper Multiclass Loss Learning. - Zhoufan Zhu, Ningning Zhang, Ke Zhu:
Big portfolio selection by graph-based conditional moments method. - Zhipeng Liang, Xiaoteng Ma, Jose H. Blanchet, Jiheng Zhang, Zhengyuan Zhou:
Single-Trajectory Distributionally Robust Reinforcement Learning. - Mohammad Ghasempour, Niloofar Moosavi, Xavier de Luna:
Convolutional neural networks for valid and efficient causal inference. - Clara Loeh:
A comment on the structure of graded modules over graded principal ideal domains in the context of persistent homology. - Nikita Stroev, Natalia G. Berloff:
Renaissance of Analogue Optical Computing. - Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu:
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer. - Samuel Cahyawijaya:
Biomedical Image Reconstruction: A Survey. - Robert Cardona:
Hydrodynamic and conservative models of hypercomputation. - Anton Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken:
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. - Samer Kais Jameel, Sezgin Aydin, Nebras H. Ghaeb, Jafar Majidpour, Tarik A. Rashid, Sinan Q. Salih, Poh Soon JosephNg:
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image. - Lasse Elsemüller, Martin Schnuerch, Paul-Christian Bürkner, Stefan T. Radev:
A Deep Learning Method for Comparing Bayesian Hierarchical Models. - Kazuki Ikeda:
Long-range quantum energy teleportation and distribution on a hyperbolic quantum network. - Anant Raj, Lingjiong Zhu, Mert Gürbüzbalaban, Umut Simsekli:
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions. - Maëlys Solal, Andrew Jesson, Yarin Gal, Alyson Douglas:
Using uncertainty-aware machine learning models to study aerosol-cloud interactions. - Alexej Schelle, Hannes Lüling:
Information loss from dimensionality reduction in 5D-Gaussian spectral data. - Yoni Choukroun, Lior Wolf:
Deep Quantum Error Correction. - Robert Wille, Lukas Burgholzer:
MQT QMAP: Efficient Quantum Circuit Mapping. - Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda:
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation. - Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli:
Statistical whitening of neural populations with gain-modulating interneurons. - Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett:
Reduced-Order Autodifferentiable Ensemble Kalman Filters. - Zachary M. Boyd, Nick Callor, Taylor Gledhill, Abigail Jenkins, Robert Snellman, Benjamin Z. Webb, Raelynn Wonnacott:
The persistent homology of genealogical networks. - Qi Su, Alex McAvoy, Joshua B. Plotkin:
Strategy evolution on dynamic networks. - Wen-Hua Chen, Yunda Yan:
Stability of Finite Receding Horizon Control: A Complementary Approach. - Ivana Malenica, Rachael V. Phillips, Daniel Lazzareschi, Jeremy R. Coyle, Romain Pirracchio, Mark J. van der Laan:
Multi-task Highly Adaptive Lasso. - Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang:
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts. - Chao Zheng, Jiangtao Pan:
Unbiased estimators for the Heston model with stochastic interest rates. - Alec J. Linot, Kevin Zeng, Michael D. Graham:
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning. - Jinsong Liu, Chenghan Xie, Qi Deng, Dongdong Ge, Yinyu Ye:
Stochastic Dimension-reduced Second-order Methods for Policy Optimization. - Seyed Muhammad Hossein Mousavi:
Neural Gas Network Image Features and Segmentation for Brain Tumor Detection Using Magnetic Resonance Imaging Data. - Ruo Li, Yichen Yang:
Slip and Jump Coefficients for General Gas-Surface Interactions According to the Moment Method. - Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen:
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. - Yiwei Qiu, Buxiang Zhou, Tianlei Zang, Yi Zhou, Shi Chen, Ruomei Qi, Jiarong Li, Jin Lin:
Extended Load Flexibility of Utility-Scale P2H Plants: Optimal Production Scheduling Considering Dynamic Thermal and HTO Impurity Effects. - Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu:
Inference on the Optimal Assortment in the Multinomial Logit Model. - Max Morrison, Caedon Hsieh, Nathan Pruyne, Bryan Pardo:
Cross-domain Neural Pitch and Periodicity Estimation. - Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Orestes Bueno, John Edwin Cotrina, Yboon García:
Generalized Ordinal Nash Games: Variational Approach. - Kazuki Amagai, Tomoya Suzuki:
Long-Term Modeling of Financial Machine Learning for Active Portfolio Management. - Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak:
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. - Yixuan Zhang, Meng Yu, Hao Zhang, Dong Yu, DeLiang Wang:
KalmanNet: A Learnable Kalman Filter for Acoustic Echo Cancellation. - Richard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song:
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs. - Hristo N. Djidjev:
Logical qubit implementation for quantum annealing: augmented Lagrangian approach. - Jonathan Gorard, Julia Dannemann-Freitag:
Axiomatic Quantum Field Theory in Discrete Spacetime via Multiway Causal Structure: The Case of Entanglement Entropies. - Patric Bonnier, Harald Oberhauser, Zoltán Szabó:
Kernelized Cumulants: Beyond Kernel Mean Embeddings. - Yeqing Lin, Mohammed AlQuraishi:
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds. - Maurice A. de Gosson:
Reconstruction of Gaussian Quantum States from Ideal Position Measurements: Beyond Pauli's Problem, I. - Cristina P. Martin-Linares, Yorgos M. Psarellis, Georgios Karapetsas, Eleni D. Koronaki, Ioannis G. Kevrekidis:
Physics-agnostic and Physics-infused machine learning for thin films flows: modeling, and predictions from small data. - Yiming Zhou, Callen MacPhee, Madhuri Suthar, Bahram Jalali:
PhyCV: The First Physics-inspired Computer Vision Library. - Feng Dai, Vladimir N. Temlyakov:
Random points are good for universal discretization. - Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Regularization for Group Sparsity. - Daiqi Gao, Yufeng Liu, Donglin Zeng:
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with High Dimensional Features. - Cheng Zhao:
Fast Correlation Function Calculator - A high-performance pair counting toolkit. - Pini Zilber, Boaz Nadler:
Imbalanced Mixed Linear Regression. - Yuan Liu, Mu Niu, Claire Miller:
Intrinsic Bayesian Optimisation on Complex Constrained Domain. - Bahare Samadi, Maxime Raison, Philippe Mahaudens, Christine Detrembleur, Sofiane Achiche:
Development of Machine learning algorithms to identify the Cobb angle in adolescents with idiopathic scoliosis based on lumbosacral joint efforts during gait (Case study). - Takaaki Saeki, Soumi Maiti, Xinjian Li, Shinji Watanabe, Shinnosuke Takamichi, Hiroshi Saruwatari:
Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining. - Jake A. Soloff, Rina Foygel Barber, Rebecca Willett:
Bagging Provides Assumption-free Stability. - Xiangyuan Zhang, Bin Hu, Tamer Basar:
Learning the Kalman Filter with Fine-Grained Sample Complexity. - Rogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay Chaudhari:
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays. - Ayush Bharadwaj, Serkan Hosten:
Complex Critical Points of Deep Linear Neural Networks. - Peter Xiangyuan Ma, Cherry Ng, Leandro Rizk, Steve Croft, Andrew P. V. Siemion, Bryan Brzycki, Daniel Czech, Jamie Drew, Vishal Gajjar, John Hoang, Howard Isaacson, Matt Lebofsky, David MacMahon, Imke de Pater, Danny C. Price, Sofia Z. Sheikh, S. Pete Worden:
A deep-learning search for technosignatures of 820 nearby stars. - Kun Huang, Xiao Li, Shi Pu:
Distributed Stochastic Optimization under a General Variance Condition. - Hampei Sasahara, Takashi Tanaka, Henrik Sandberg:
Attack Impact Evaluation for Stochastic Control Systems through Alarm Flag State Augmentation. - Benjamin Avanzi, Greg Taylor, Melantha Wang, Bernard Wong:
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications. - Wenzhi Gao, Qi Deng:
Delayed Stochastic Algorithms for Distributed Weakly Convex Optimization. - Taejin Paik, Jaemin Park:
Circular Coordinates for Density-Robust Analysis. - Michele Coscia, Roxana Gutiérrez-Romero:
Mexican violence displaces people, discourages international migration, and shrinks highway network connections. - Atakan Coban, Ercument Akat, Ahmet Cem Erdogan:
Two Different Experiments with the Rope-Attached Sphere by Using Arduino. - Minzhao Liu, Changhun Oh, Junyu Liu, Liang Jiang, Yuri Alexeev:
Complexity of Gaussian boson sampling with tensor networks. - M. Perger, G. Anglada-Escudé, D. Baroch, M. Lafarga, I. Ribas, J. C. Morales, E. Herrero, P. J. Amado, J. R. Barnes, J. A. Caballero, S. V. Jeffers, A. Quirrenbach, A. Reiners:
A Machine Learning approach for correcting radial velocities using physical observables. - Claus Metzner, Marius E. Yamakou, Dennis Voelkl, Achim Schilling, Patrick Krauss:
Quantifying and maximizing the information flux in recurrent neural networks. - Alexandros Kalimeris, Ioannis Psarros, Giorgos Giannopoulos, Manolis Terrovitis, George Papastefanatos, Gregory Kotsis:
Data-driven soiling detection in PV modules. - Antonia Tsili, Matthew S. Dyer, Vladimir V. Gusev, Piotr Krysta, Rahul Savani:
First Order Methods for Geometric Optimization of Crystal Structures. - Maik Röper, Bho Matthiesen, Dirk Wübben, Petar Popovski, Armin Dekorsy:
Robust Precoding via Characteristic Functions for VSAT to Multi-Satellite Uplink Transmission. - Connor T. Jerzak, Fredrik D. Johansson, Adel Daoud:
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities. - Hassan Alshal:
Einstein's Equations and the Entropy of pseudo-Riemannian Information Manifolds. - Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy:
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces. - Mengyun Qiao, Shuo Wang, Huaqi Qiu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Wenjia Bai:
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. - Sina Esmaeilpour Charandabi:
Prediction of Customer Churn in Banking Industry. - Zehong Zhang, Fei Lu, Esther Xu Fei, Terry Lyons, Yannis G. Kevrekidis, Tom Woolf:
Benchmarking optimality of time series classification methods in distinguishing diffusions. - Samuel Braunfeld, David Chodounský, Noé de Rancourt, Jan Hubicka, Jamal Kawach, Matej Konecný:
Big Ramsey degrees and infinite languages. - Susheel Dharmadhikari, Reid A. Berdanier, Karen A. Thole, Amrita Basak:
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins. - Nicolas Nerrienet, Rémy Peyret, Marie Sockeel, Stéphane Sockeel:
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology. - Zeshan M. Hussain, Ming-Chieh Shih, Michael Oberst, Ilker Demirel, David A. Sontag:
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions. - Carlo Alfano, Rui Yuan, Patrick Rebeschini:
A Novel Framework for Policy Mirror Descent with General Parametrization and Linear Convergence. - Remy Peyret, Duaa Hamed Alsaeed, Fouad Khelifi, Nadia Al-Ghreimil, Heyam H. Al-Baity, Ahmed Bouridane:
Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study. - Xiaohong Chen, Zhengling Qi, Runzhe Wan:
STEEL: Singularity-aware Reinforcement Learning. - Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill:
Improved machine learning algorithm for predicting ground state properties. - Maria Chudnovsky, Sergey Norin, Paul D. Seymour, Jérémie Turcotte:
Cops and robbers on P5-free graphs. - Eirini Ioannou, Muni Sreenivas Pydi, Po-Ling Loh:
Robust empirical risk minimization via Newton's method. - Nikita Doikov, Anton Rodomanov:
Polynomial Preconditioning for Gradient Methods. - Marina Mancuso, Carrie Manore, Kaitlyn Martinez, Fabio Milner:
Numerical Issues for a Non-autonomous Logistic Model. - Junpeng Zhan:
Near-perfect Reachability of Variational Quantum Search with Depth-1 Ansatz. - Sukirt Thakur, Maziar Raissi, Harsa Mitra, Arezoo M. Ardekani:
Temporal Consistency Loss for Physics-Informed Neural Networks. - Maryia Shpak:
Structure Learning and Parameter Estimation for Graphical Models via Penalized Maximum Likelihood Methods. - Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Schäfer, Matthias Katzfuss:
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization. - Yankun Huang, Qihang Lin:
Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Optimization with Non-Smooth Convex Constraints. - Mallesh M. Pai, Max Resnick, Elijah Fox:
Censorship Resistance in On-Chain Auctions. - Gautam Kamath, Argyris Mouzakis, Matthew Regehr, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman:
A Bias-Variance-Privacy Trilemma for Statistical Estimation. - Katerina Zmolíková, Marc Delcroix, Tsubasa Ochiai, Keisuke Kinoshita, Jan Cernocký, Dong Yu:
Neural Target Speech Extraction: An Overview. - Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song:
A Reinforcement Learning Framework for Dynamic Mediation Analysis. - Ange Lou, Shuyue Guan, Murray H. Loew:
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. - Ryan P. Kelly, David J. Nott, David T. Frazier, David J. Warne, Chris Drovandi:
Misspecification-robust Sequential Neural Likelihood. - Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani:
Demystifying Disagreement-on-the-Line in High Dimensions. - Cai W. John, Owen Queen, Wellington Muchero, Scott J. Emrich:
Deep Learning for Reference-Free Geolocation for Poplar Trees. - Ryan M. Dreifuerst, Robert W. Heath Jr.:
Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays. - Quanda Zhang, Qi Zhang:
Study of Optical Networks, 5G, Artificial Intelligence and Their Applications. - Yeganeh Alimohammadi, Aranyak Mehta, Andrés Perlroth:
Incentive Compatibility in the Auto-bidding World. - Philipp Schiele, Eric Luxenberg, Stephen P. Boyd:
Disciplined Saddle Programming. - Jonathan Wider, Jakob Kruse, Nils Weitzel, Janica C. Bühler, Ullrich Köthe, Kira Rehfeld:
Towards Learned Emulation of Interannual Water Isotopologue Variations in General Circulation Models. - Meyer Scetbon, Elvis Dohmatob:
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. - Shrigyan Brahmachari, Josep Lumbreras, Marco Tomamichel:
Quantum contextual bandits and recommender systems for quantum data. - Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias:
Population-wise Labeling of Sulcal Graphs using Multi-graph Matching. - Dipayan Chakraborty, Florent Foucaud, Soumen Nandi, Sagnik Sen, D. K. Supraja:
New bounds and constructions for neighbor-locating colorings of graphs. - Collin Bleak, Feyishayo Olukoya:
Conjugacy for certain automorphisms of the one-sided shift via transducers. - Amarjit Haty, Rajendra K. Ray:
Impact of an Arc-shaped Control Plate on Flow and Heat Transfer around a Isothermally Heated Rotating Circular Cylinder. - Ondrej Jezil:
Limits of structures and Total NP Search Problems. - Md. Ahsan Habib, M. A. H. Akhand:
Physarum Inspired Bicycle Lane Network Design in a Congested Mega City. - Angelo Piga, Lluc Font-Pomarol, Marta Sales-Pardo, Roger Guimerà:
Bayesian estimation of information-theoretic metrics for sparsely sampled distributions. - Shaofeng Yuan, Feng Yang:
CSDN: Combing Shallow and Deep Networks for Accurate Real-time Segmentation of High-definition Intravascular Ultrasound Images. - Fulvio Flamini, Marius Krumm, Lukas J. Fiderer, Thomas Müller, Hans J. Briegel:
Reinforcement learning and decision making via single-photon quantum walks. - Eva Schnider, Julia Wolleb, Antal Huck, Mireille Toranelli, Georg Rauter, Magdalena Müller-Gerbl, Philippe C. Cattin:
Improved distinct bone segmentation in upper-body CT through multi-resolution networks. - Thiziri Nait Saada, Jared Tanner:
On the Initialisation of Wide Low-Rank Feedforward Neural Networks. - Martin Redmann:
Model reduction for stochastic systems with nonlinear drift. - Soledad Villar, David W. Hogg, Weichi Yao, George A. Kevrekidis, Bernhard Schölkopf:
The passive symmetries of machine learning. - Nguyen Anh Khoa Doan, Alberto Racca, Luca Magri:
Convolutional autoencoder for the spatiotemporal latent representation of turbulence. - Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis:
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser. - Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk:
Multi-fidelity covariance estimation in the log-Euclidean geometry. - Baris Alparslan, Sinan Yildirim, S. Ilker Birbil:
Differentially Private Distributed Bayesian Linear Regression with MCMC. - Nicola De Nitti, Florian Schweiger:
Scaling limits for fractional polyharmonic Gaussian fields. - Daniel Capellán-Martín, Juan J. Gomez-Valverde, Ramon Sánchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo:
Deep learning-based lung segmentation and automatic regional template in chest X-ray images for pediatric tuberculosis. - Wonyoung Kim, Garud Iyengar, Assaf Zeevi:
Improved Algorithms for Multi-period Multi-class Packing Problems with~Bandit~Feedback. - Reijo Jaakkola, Antti Kuusisto, Miikka Vilander:
A monotone connection between model class size and description length. - Simon Hubmer, Ekaterina Sherina, Ronny Ramlau, Michael Pircher, Rainer A. Leitgeb:
Subaperture-based Digital Aberration Correction for OCT: A Novel Mathematical Approach. - Aleksandar Nikolov, Haohua Tang:
Gaussian Noise is Nearly Instance Optimal for Private Unbiased Mean Estimation. - Isaac Reid, Krzysztof Choromanski, Valerii Likhosherstov, Adrian Weller:
Simplex Random Features. - Elijah Pelofske:
4-clique network minor embedding for quantum annealers. - Tobias Gergs, Thomas Mussenbrock, Jan Trieschmann:
Physics-separating artificial neural networks for predicting sputtering and thin film deposition of AlN in Ar/N$_2$ discharges on experimental timescales. - Andrea Canidio, Vincent Danos:
Commitment Against Front Running Attacks. - Andrea Canidio:
Auctions with Tokens: Monetary Policy as a Mechanism Design Choice. - Shurong Lin, Mark Bun, Marco Gaboardi, Eric D. Kolaczyk, Adam Smith:
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling. - Flavia Esposito, Laura Selicato, Caterina Sportelli:
Theoretical aspects in penalty hyperparameters optimization. - Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos:
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. - Eugene Kogan:
On Parametric Amplification In Discrete Josephson Transmission Line.
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