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ORCIDCoRR, July 2024
- Patricia Arroba, José L. Risco-Martín, Marina Zapater, José M. Moya, José L. Ayala:
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. - Jia Wei, Xingjun Zhang, Witold Pedrycz, Longxiang Wang, Jie Zhao:
Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD. - Sion Kim, Ezra Kissel, Karel Matous:
Adaptive and Parallel Multiscale Framework for Modeling Cohesive Failure in Engineering Scale Systems. - Antonios Makris, Theodoros Theodoropoulos, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Konstantinos Tserpes:
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement. - Xinshi Zang, Wenhao Lin, Shiju Lin, Jinwei Liu, Evangeline F. Y. Young:
An Open-Source Fast Parallel Routing Approach for Commercial FPGAs. - Grant Wilkins, Srinivasan Keshav, Richard Mortier:
Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads. - Asif Hamid, Danish Rafiq, Shahkar Ahmad Nahvi, Mohammad Abid Bazaz:
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps. - Ioannis Korontanis, Antonios Makris, Konstantinos Tserpes:
Converter: A CEAML Reasoner Python package to Streamline Orchestration Across Cloud and Edge Continuum. - Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee, Arkady B. Zaslavsky, Shakthi Weerasinghe, Guang-Li Huang:
A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications. - Gang Liu, Zhenxiang Wang, Ziyang He, Shanshan Guo, Rui Zhang, Dezhong Yao:
Simplifying Kinematic Parameter Estimation in sEMG Prosthetic Hands: A Two-Point Approach. - Theodoros Theodoropoulos, John Violos, Antonios Makris, Konstantinos Tserpes:
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. - Lehao Wang, Zhiwen Yu, Sicong Liu, Chenshu Wu, Xiangrui Xu, Bin Guo:
AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems. - Hugo Ledoux, Gina Stavropoulou, Balázs Dukai:
Streaming CityJSON datasets. - Takahiro Katagiri, Masahiko Sato:
An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication. - Feibo Jiang, Chuanguo Tang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan:
Visual Language Model based Cross-modal Semantic Communication Systems. - Farzad Farhadzadeh, Qiqi Hou, Hoang Le, Amir Said, Randall Rauwendaal, Alex Bourd, Fatih Porikli
:
Neural Graphics Texture Compression Supporting Random Acces. - Vikranth Srivatsa, Zijian He, Reyna Abhyankar, Dongming Li, Yiying Zhang:
Preble: Efficient Distributed Prompt Scheduling for LLM Serving. - Lang He, Kai Chen, Junnan Zhao, Yimeng Wang, Ercheng Pei, Haifeng Chen, Jiewei Jiang, Shiqing Zhang, Jie Zhang, Zhongmin Wang, Tao He, Prayag Tiwari:
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild. - Jinwei Lin:
Anywhere: A Web Crawler Automation Management Interface. - Patrick Diehl, Gregor Daiß, Steven R. Brandt, Alireza Kheirkhahan, Srinivas Yadav Singanaboina, Dominic Marcello, Chris Taylor, John Leidel, Hartmut Kaiser:
Distributed astrophysics simulations using Octo-Tiger with RISC-V CPUs using HPX and Kokkos. - Pujiang He, Shan Zhou, Changqing Li, Wenhuan Huang, Weifei Yu, Duyi Wang, Chen Meng, Sheng Gui:
Distributed Inference Performance Optimization for LLMs on CPUs. - Peiyao Sheng, Chenyuan Wu, Dahlia Malkhi, Michael K. Reiter, Chrysoula Stathakopoulou, Michael Wei, Maofan Yin:
On Orchestrating Parallel Broadcasts for Distributed Ledgers. - Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng:
Supercharging Federated Learning with Flower and NVIDIA FLARE. - Yohai Trabelsi, Pan Xu, Sarit Kraus:
Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option. - Anurag Mashruwala:
Distributed Systems in Fintech. - Breno G. S. Costa, Abhik Banerjee, Prem Prakash Jayaraman, Leonardo R. Carvalho, João Bachiega Jr., Aleteia Araujo:
Achieving Observability on Fog Computing with the use of open-source tools. - Simone Bocca, Amarsanaa Ganbold, Tsolmon Zundui:
LiveData - A Worldwide Data Mesh for Stratified Data. - Sherry Ruan, Tian Zhao:
JungleGPT: Designing and Optimizing Compound AI Systems for E-Commerce. - Nick Rackley, Bryan Gonzalez, Casey Morrison:
Stream-K Optimization and Exploration. - Alexandros Gazis, Eleftheria Katsiri:
Streamline Intelligent Crowd Monitoring with IoT Cloud Computing Middleware. - Dewen Guo, Minchen Li, Yin Yang, Guoping Wang, Sheng Li:
Barrier-Augmented Lagrangian for GPU-based Elastodynamic Contact. - Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving. - Priyanka Mudgal, Rita H. Wouhaybi:
Ensemble Method for System Failure Detection Using Large-Scale Telemetry Data. - Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Xingfu Wu, N. Sato, J. Taylor Childers:
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver. - Ramon Canal, Stefano Di Carlo, Dimitris Gizopoulos, Alberto Scionti, Francesco Lubrano, Josep Lluis Berral, Aaron Call, Diego Marron, Konstantinos Nikas, Dionisios N. Pnevmatikatos, Daniel Raho, Alvise Rigo, Yannis Papaefstathiou, José-María Arnau, Angelos Arelakis:
Vitamin-V: Expanding Open-Source RISC-V Cloud Environments. - Habtom Kahsay Gidey, Mario Kesseler, Patrick Stangl, Peter Hillmann, Andreas Karcher:
A Document-based Knowledge Discovery with Microservices Architecture. - Jiaxin Deng, Shiyao Wang, Yuchen Wang, Jiansong Qi, Liqin Zhao, Guorui Zhou, Gaofeng Meng:
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion. - Paras Stefanopoulos, Ahad N. Zehmakan, Sourin Chatterjee:
A First Principles Approach to Trust-Based Recommendation Systems. - Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao:
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews. - Erik Heiland, Peter Hillmann, Andreas Karcher:
Constraint based Modeling according to Reference Design. - Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. - Arya Chakraborty:
Perceptron Collaborative Filtering. - Kai Siong Yow, Chunbo Li:
D&A: Resource Optimisation in Personalised PageRank Computations Using Multi-Core Machines. - Ishaan Lagwankar:
Tracing Distributed Algorithms Using Replay Clocks. - Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan, Paul Aaron Lott, Masoud Mohseni, Can Unlu, Davide Venturelli, Alan Ho:
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization. - Yu Bai, Yukai Miao, Li Chen, Dan Li, Yanyu Ren, Hongtao Xie, Ce Yang, Xuhui Cai:
Pistis-RAG: A Scalable Cascading Framework Towards Trustworthy Retrieval-Augmented Generation. - Rui Zhang, Lei Zhang:
Provably Secure Non-interactive Key Exchange Protocol for Group-Oriented Applications in Scenarios with Low-Quality Networks. - Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong:
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference. - Rongzhe Wei, Eli Chien, Pan Li:
Differentially Private Graph Diffusion with Applications in Personalized PageRanks. - Ruoyu Qin, Zheming Li, Weiran He, Mingxing Zhang, Yongwei Wu, Weimin Zheng, Xinran Xu:
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving. - Mariam Yahya, Alexander Conzelmann, Setareh Maghsudi:
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks. - Masoud Shokrnezhad, Hamidreza Mazandarani, Tarik Taleb, Jaeseung Song, Richard Li:
Semantic Revolution from Communications to Orchestration for 6G: Challenges, Enablers, and Research Directions. - Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu:
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. - Thomas Mulc, Jennifer L. Steele:
Compressing Search with Language Models. - Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault:
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback. - Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang:
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. - Malay Haldar, Hongwei Zhang, Kedar Bellare, Sherry Chen, Soumyadip Banerjee, Xiaotang Wang, Mustafa Abdool, Huiji Gao, Pavan Tapadia, Liwei He, Sanjeev Katariya:
Learning to Rank for Maps at Airbnb. - Mohammed Elhenawy, Ahmad Abutahoun, Taqwa I. Alhadidi, Ahmed Jaber, Huthaifa I. Ashqar, Shadi Jaradat, Ahmed Abdelhay, Sebastien Glaser, Andry Rakotonirainy:
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges. - Giuseppe Silano, Evangelos Rikos, Vetrivel Rajkumar, Oliver Gehrke, Tesfaye Amare Zerihun, Carmine Rodio, Riccardo Lazzari:
Integrating Power-to-Heat Services in Geographically Distributed Multi-Energy Systems: A Case Study from the ERIGrid 2.0 Project. - William Noffsinger:
Predictive accuracy of recommender algorithms. - Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. - Aakash Sudhirbhai Vora, Dhrumil Chetankumar Joshi, Aksh Kantibhai Patel:
Hybrid Approach to Parallel Stochastic Gradient Descent. - Biao Wu, Fang Meng, Ling Chen:
Curriculum Learning with Quality-Driven Data Selection. - Iván Matas, Carmen Serrano, Francisca Silva, Amalia Serrano, Tomás Toledo-Pastrana, Begoña Acha:
AI-Driven Skin Cancer Diagnosis: Grad-CAM and Expert Annotations for Enhanced Interpretability. - Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou:
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. - Ilia Shumailov, Jamie Hayes, Eleni Triantafillou, Guillermo Ortiz-Jiménez, Nicolas Papernot, Matthew Jagielski, Itay Yona, Heidi Howard, Eugene Bagdasaryan:
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI. - Zuzanna Gawrysiak, Agata Zywot, Agnieszka Lawrynowicz:
WineGraph: A Graph Representation For Food-Wine Pairing. - Sebastian T. Vincent, Charlotte Prescott, Chris Bayliss, Chris Oakley, Carolina Scarton:
A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling. - Ali Doosthosseini, Jonathan Decker, Hendrik Nolte, Julian M. Kunkel:
Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services. - Ben Fauber:
Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models. - Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li:
Personalized Federated Continual Learning via Multi-granularity Prompt. - Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang:
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents. - (Withdrawn) Instance Temperature Knowledge Distillation.
- Mahmoud Ibrahim, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien P. W. Pluim, Bart Elen, Gökhan Ertaylan, Michel Dumontier:
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges. - Xinji Mai, Zeng Tao, Junxiong Lin, Haoran Wang, Yang Chang, Yanlan Kang, Yan Wang, Wenqiang Zhang:
From Efficient Multimodal Models to World Models: A Survey. - Yuntao Shou, Wei Ai, Jiayi Du, Tao Meng, Haiyan Liu:
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations. - Abraham G. Taye, Sador Yemane, Eshetu Negash, Yared Minwuyelet, Moges Abebe, Melkamu Hunegnaw Asmare:
Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques. - Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Wilkie Olin-Ammentorp, Xingfu Wu, Andrew A. Chien:
Modeling Performance of Data Collection Systems for High-Energy Physics. - Guangba Yu, Gou Tan, Haojia Huang, Zhenyu Zhang, Pengfei Chen, Roberto Natella, Zibin Zheng:
A Survey on Failure Analysis and Fault Injection in AI Systems. - Sowmya Sankaran:
Multi-Species Object Detection in Drone Imagery for Population Monitoring of Endangered Animals. - Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal:
When Search Engine Services meet Large Language Models: Visions and Challenges. - Xian Wu, Qingchuan Tao, Shuang Wang:
RepAct: The Re-parameterizable Adaptive Activation Function. - Haiyang Shen, Yue Li, Desong Meng, Dongqi Cai, Sheng Qi, Li Zhang, Mengwei Xu, Yun Ma:
ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents. - Mazen Elabd, Sardar Jaf:
A Simple Attention-Based Mechanism for Bimodal Emotion Classification. - Mike Thelwall:
Quantitative Methods in Research Evaluation Citation Indicators, Altmetrics, and Artificial Intelligence. - Nila Masrourisaadat, Nazanin Sedaghatkish, Fatemeh Sarshartehrani, Edward A. Fox:
Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models. - Melanie Schaller, Daniel Schlör, Andreas Hotho:
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior. - Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, Fei Yu:
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks. - Christopher Irwin, Flavio Mignone, Stefania Montani, Luigi Portinale:
Graph Neural Networks for Gut Microbiome Metaomic data: A preliminary work. - Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel:
InfoNCE: Identifying the Gap Between Theory and Practice. - Zhanteng Xie, Philip M. Dames:
SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation. - Shahad Al-Khalifa, Hend Al-Khalifa:
The Qiyas Benchmark: Measuring ChatGPT Mathematical and Language Understanding in Arabic. - Dat Hong, Philip M. Polgreen, Alberto Maria Segre:
Predicting Elevated Risk of Hospitalization Following Emergency Department Discharges. - Ahsan Mahmood, Junier Oliva, Martin Styner:
Localizing Anomalies via Multiscale Score Matching Analysis. - Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Wyatt Bellamy, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia A. Cavazos-Rehg, Dian Hu, Ming Huang:
Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach. - Victor A. Borza, Andrew Estornell, Chien-Ju Ho, Bradley A. Malin, Yevgeniy Vorobeychik:
Dataset Representativeness and Downstream Task Fairness. - Eunhae Lee:
The impact of model size on catastrophic forgetting in Online Continual Learning. - Ingo Wald, Stefan Zellmann, Jefferson Amstutz, Qi Wu, Kevin S. Griffin, Milan Jaros, Stefan Wesner:
Standardized Data-Parallel Rendering Using ANARI. - Saulo Queiroz, João P. Vilela, Edmundo Monteiro:
Fast Computation of the Discrete Fourier Transform Square Index Coefficients. - Zhengyi Luo, Jiashun Wang, Kangni Liu, Haotian Zhang, Chen Tessler, Jingbo Wang, Ye Yuan, Jinkun Cao, Zihui Lin, Fengyi Wang, Jessica K. Hodgins, Kris Kitani:
SMPLOlympics: Sports Environments for Physically Simulated Humanoids. - Ali Raza, Faizan Younas:
A Novel Labeled Human Voice Signal Dataset for Misbehavior Detection. - Di Wu, Xiaoxian Shen, Kai-Wei Chang:
MetaKP: On-Demand Keyphrase Generation. - Luis E. Alvarez, Marc W. Brittain, Steven D. Young:
Tradeoffs When Considering Deep Reinforcement Learning for Contingency Management in Advanced Air Mobility. - Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Zhongyi Shui, Kai Zhang, Jingxiong Li, Xingheng Lyu, Tao Lin, Lin Yang:
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration. - Yu Yang, Jordi Altayó González, Ahmed Hemani:
CIS: Composable Instruction Set for Streaming Applications: Design, Modeling, and Scheduling. - Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C. Wallace:
Detection and Measurement of Syntactic Templates in Generated Text. - Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting:
Targeting influence in a harmonic opinion model. - Nat McAleese, Rai Michael Pokorny, Juan Felipe Ceron Uribe, Evgenia Nitishinskaya, Maja Trebacz, Jan Leike:
LLM Critics Help Catch LLM Bugs. - Aaron Weber, Daksh Dhingra, Sawyer B. Fuller:
A flexured-gimbal 3-axis force-torque sensor reveals minimal cross-axis coupling in an insect-sized flapping-wing robot. - Chuyuan Tao, Wenbin Wan, Junjie Gao, Bihao Mo, Hunmin Kim, Naira Hovakimyan:
Resilient Estimator-based Control Barrier Functions for Dynamical Systems with Disturbances and Noise. - Mohsen Fayyaz, Fan Yin, Jiao Sun, Nanyun Peng:
Evaluating Human Alignment and Model Faithfulness of LLM Rationale. - Matthias Eberl:
A Reflection Principle for Potential Infinite Models of Type Theory. - Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood:
Multimodal Prototyping for cancer survival prediction. - Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Haoye Tian, Yewei Song, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé:
Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation. - Omar Elharrouss, Rafat Damseh, Abdelkader Nasreddine Belkacem, Elarbi Badidi, Abderrahmane Lakas:
Transformer-based Image and Video Inpainting: Current Challenges and Future Directions. - Anirban Mukherjee, Venkat Suprabath Bitra, Vignesh Bondugula, Tarun Reddy Tallapureddy, Dinesh Babu Jayagopi:
SemUV: Deep Learning based semantic manipulation over UV texture map of virtual human heads. - Ami Marowka:
On the Inorrect Use of Application Efficiency to Calculate Performance Portability. - Kaveh Malek, Fernando Moreu:
Methodology to Deploy CNN-Based Computer Vision Models on Immersive Wearable Devices. - Samuel Stanton, Robert G. Alberstein, Nathan C. Frey, Andrew M. Watkins, Kyunghyun Cho:
Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms. - Archit Chauhan, Samir Datta, Chetan Gupta, Vimal Raj Sharma:
The Even-Path Problem in Directed Single-Crossing-Minor-Free Graphs. - João Matos, Jack Gallifant, Jian Pei, An-Kwok Ian Wong:
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models. - Mohammad Mahdi Salehi Dezfuli, Kazem Cheshmi:
Improving Locality in Sparse and Dense Matrix Multiplications. - Valentino Boucard, Guilherme Dias da Fonseca, Bastien Rivier:
Further Connectivity Results on Plane Spanning Path Reconfiguration. - Ekaterina Piotrovskaya, Leo Lobski, Fabio Zanasi:
Learning Closed Signal Flow Graphs. - Aman Sharma, Martin Wittlinger, Benoit Baudry, Martin Monperrus:
SBOM.EXE: Countering Dynamic Code Injection based on Software Bill of Materials in Java. - Jingtao Zhan, Qingyao Ai, Yiqun Liu, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei:
Prompt Refinement with Image Pivot for Text-to-Image Generation. - Zhenhao Li, Marek Rei, Lucia Specia:
DiffuseDef: Improved Robustness to Adversarial Attacks. - Jaydeep Borkar, David A. Smith:
Mind the Gap: Analyzing Lacunae with Transformer-Based Transcription. - Yosuke Mizutani, Daniel Coimbra Salomao, Alex Crane, Matthias Bentert, Pål Grønås Drange, Felix Reidl, Alan Kuntz, Blair D. Sullivan:
Leveraging Fixed-Parameter Tractability for Robot Inspection Planning. - Moseli Mots'oehli:
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review. - Wentian Li, Astero Provata, Thomas MacCarthy:
An Exhaustive Study of Two-Node McCulloch-Pitts Networks. - Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh:
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. - Stav Ashur, Maria C. Lusardi, Marta Markowicz, James Motes, Marco Morales, Sariel Har-Peled, Nancy M. Amato:
SPITE: Simple Polyhedral Intersection Techniques for modified Environments. - Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, Eunjeong Hwang, Vered Shwartz:
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models. - Rishav Bhagat, Jonathan Balloch, Zhiyu Lin, Julia Kim, Mark O. Riedl:
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling. - Shayan Khorassany, Eric B. Dew, Mohammad Rahim Sobhani, Roger J. Zemp:
Radiation Impedance of Rectangular CMUTs. - Arianna Bunnell, Yannik Glaser, Dustin Valdez, Thomas K. Wolfgruber, Aleen Altamirano, Carol Zamora González, Brenda Y. Hernandez, Peter Sadowski, John A. Shepherd:
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound. - Michelle Larissa Luciano Carvalho, Paulo da Silva Cruz, Eduardo Santana de Almeida, Paulo Anselmo da Mota Silveira Neto, Rafael Prikladnicki:
Please do not go: understanding turnover of software engineers from different perspectives. - Markus Grotz, Mohit Shridhar, Tamim Asfour, Dieter Fox:
PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation Tasks. - Zifan Zhang, Yuchen Liu, Zhiyuan Peng, Mingzhe Chen, Dongkuan Xu, Shuguang Cui:
Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks. - David Jung, Julien Monteil, Philip Schulz, Volodymyr Vaskovych:
Personalised Outfit Recommendation via History-aware Transformers. - Dong Wang, Giovanni Beltrame:
Variable Time Step Reinforcement Learning for Robotic Applications. - Qing He, Wei Cai:
Deep Neural Networks with Symplectic Preservation Properties. - Geng Li, Di Qiu, Lok Ming Lui:
A deep neural network framework for dynamic multi-valued mapping estimation and its applications. - Guohao Wang:
SolarSAM: Building-scale Photovoltaic Potential Assessment Based on Segment Anything Model (SAM) and Remote Sensing for Emerging City. - Shengcheng Luo, Quanquan Peng, Jun Lv, Kaiwen Hong, Katherine Rose Driggs-Campbell, Cewu Lu, Yong-Lu Li:
Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition. - Lucas N. Kirsten:
Benchmark Evaluation of Image Fusion algorithms for Smartphone Camera Capture. - Tong Su, Tong Wu, Junbo Zhao, Anna Scaglione, Le Xie:
A Review of Safe Reinforcement Learning Methods for Modern Power Systems. - Matin Amoozadeh, Daye Nam, Daniel Prol, Ali Alfageeh, James Prather, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour:
Student-AI Interaction: A Case Study of CS1 students. - Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang:
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems. - Sorawit Manatura, Thanawat Chanikaphon, Chantana Chantrapornchai, Mohsen Amini Salehi:
FastMig: Leveraging FastFreeze to Establish Robust Service Liquidity in Cloud 2.0. - Yangzhou Jiang, Yinxin Lin, Yaoming Wang, Teng Li, Bilian Ke, Bingbing Ni:
Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck. - Adam Sun, Tiange Xiang, Scott L. Delp, Li Fei-Fei, Ehsan Adeli:
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors. - Subhankar Ghosh, Arun Sharma, Jayant Gupta, Shashi Shekhar:
Towards Statistically Significant Taxonomy Aware Co-location Pattern Detection. - Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian Yu, Haitao Mi, Jinsong Su, Dong Yu:
LiteSearch: Efficacious Tree Search for LLM. - Zhenhua Wang, Guang Xu, Ming Ren:
LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods. - Lucas Gren, Robert Feldt:
The Social Psychology of Software Security (Psycurity). - Gautham Vasan, Yan Wang, Fahim Shahriar, James Bergstra, Martin Jägersand, A. Rupam Mahmood:
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning. - Xin Tan, Yimin Jiang, Yitao Yang, Hong Xu:
Teola: Towards End-to-End Optimization of LLM-based Applications. - Gang Liu, Haitao Wang:
On Line-Separable Weighted Unit-Disk Coverage and Related Problems. - Gang Liu, Haitao Wang:
Unweighted Geometric Hitting Set for Line-Constrained Disks and Related Problems. - Aldo Gordillo, Daniel López-Fernández, Jesús Mayor:
Examining and Comparing the Effectiveness of Virtual Reality Serious Games and LEGO Serious Play for Learning Scrum. - Jiacheng Yao, Maolin Wang, Wanqi Chen, Chengxiang Jin, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Dual-view Aware Smart Contract Vulnerability Detection for Ethereum. - Xiaolong He, April Tran, David M. Bortz, Youngsoo Choi:
Physics-informed active learning with simultaneous weak-form latent space dynamics identification. - Ivan Smirnov:
The Echoes of the 'I': Tracing Identity with Demographically Enhanced Word Embeddings. - Haiyun Li, Qihuang Zhong, Ke Zhu, Juhua Liu, Bo Du, Dacheng Tao:
Iterative Data Augmentation with Large Language Models for Aspect-based Sentiment Analysis. - Kibeom Nam:
Korean Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filtering. - Raphael Sonabend, Anna Carnegie, Anne Lee Steele, Marie Nugent, Malvika Sharan:
Unicorns Do Not Exist: Employing and Appreciating Community Managers in Open Source. - Zefan Wang, Yitong Wang, Jun Zhao:
Resource Allocation and Secure Wireless Communication in the Large Model-based Mobile Edge Computing System. - Yang Yu, Qingxuan Lv, Yuezun Li, Zhiqiang Wei, Junyu Dong:
PhyTracker: An Online Tracker for Phytoplankton. - Hongjun Choi, Jayaraman J. Thiagarajan, Ruben Glatt, Shusen Liu:
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization. - Palak Jain, Livio Baldini Soares, Tom Kwiatkowski:
From RAG to RICHES: Retrieval Interlaced with Sequence Generation. - Peiliang Zhang, Yujia Tong, Chenghu Du, Chao Che, Yongjun Zhu:
JSCDS: A Core Data Selection Method with Jason-Shannon Divergence for Caries RGB Images-Efficient Learning. - Cehao Yang, Chengjin Xu, Yiyan Qi:
Financial Knowledge Large Language Model. - Peng Dai, Feitong Tan, Qiangeng Xu, David Futschik, Ruofei Du, Sean Fanello, Xiaojuan Qi, Yinda Zhang:
SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix. - Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel:
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. - Linjiang Zhou, Xiaochuan Shi, Chao Ma, Zepeng Wang:
Axiomatization of Gradient Smoothing in Neural Networks. - Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang:
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention. - Jianheng Tang, Qifan Zhang, Yuhan Li, Jia Li:
GraphArena: Benchmarking Large Language Models on Graph Computational Problems. - Mingrui Zhang, Chunyang Wang, Stephan Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott:
Towards Universal Mesh Movement Networks. - Rui Cao, Shijie Xue, Jindong Li, Qi Wang, Yi Chang:
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection. - Krishna Praveen V. S. Kondapi, Chandrasekhar Sriram, Geethu Joseph, Chandra R. Murthy:
Sparse Actuator Scheduling for Discrete-Time Linear Dynamical Systems. - Canyun Dai, Xiaoyan Sun, Hejuan Hu, Wei Song, Yong Zhang, Dunwei Gong:
Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching. - Chao Zhou, Xiaowen Shi, Yuan-Gen Wang:
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers. - Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu:
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning. - Judith Perera, Ewan D. Tempero, Yu-Cheng Tu, Kelly Blincoe, Matthias Galster:
Towards Quantifying Requirements Technical Debt for Software Requirements concerning Veracity: A Perspective and Research Roadmap. - Kausik Bhattacharya, Anubhab Majumder, Amaresh Chakrabarti:
A Study on Effect of Reference Knowledge Choice in Generating Technical Content Relevant to SAPPhIRE Model Using Large Language Model. - Weihan Li, Yule Wang, Chengrui Li, Anqi Wu:
Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process. - Holli Sargeant, Måns Magnusson:
Formalising Anti-Discrimination Law in Automated Decision Systems. - Benjamin Estermann, Luca A. Lanzendörfer, Yannick Niedermayr, Roger Wattenhofer:
PUZZLES: A Benchmark for Neural Algorithmic Reasoning. - Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty:
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP. - Yuan Liao, Jorge Gil, Sonia Yeh, Rafael H. M. Pereira, Laura Alessandretti:
The Uneven Impact of Mobility on the Segregation of Native and Foreign-born Individuals. - Akila Peiris, Nisansa de Silva:
SHADE: Semantic Hypernym Annotator for Domain-specific Entities - DnD Domain Use Case. - Davide Bilò, Alessia Di Fonso, Gabriele Di Stefano, Stefano Leucci:
On the approximability of graph visibility problems. - Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, Kai Xu:
Parametric Primitive Analysis of CAD Sketches with Vision Transformer. - Tuan L. Vo, Thu Nguyen, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen:
Explainability of Machine Learning Models under Missing Data. - Yukuan Jia, Yuxuan Sun, Ruiqing Mao, Zhaojun Nan, Sheng Zhou, Zhisheng Niu:
C-MASS: Combinatorial Mobility-Aware Sensor Scheduling for Collaborative Perception with Second-Order Topology Approximation. - Han Wang, Kostas Margellos, Antonis Papachristodoulou:
Safe and Stable Filter Design Using a Relaxed Compatibitlity Control Barrier - Lyapunov Condition. - Tamzeed Mahfuz, Satak Kumar Dey, Ruwad Naswan, Hasnaen Adil, Khondker Salman Sayeed, Haz Sameen Shahgir:
Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs. - James Jackson, Robin Mitra, Brian Francis, Iain Dove:
Obtaining (ε,δ)-differential privacy guarantees when using a Poisson mechanism to synthesize contingency tables. - Krzysztof Nowak, Jedrzej Ziebura, Krzysztof Wróbel, Aleksander Smywinski-Pohl:
eFontes. Part of Speech Tagging and Lemmatization of Medieval Latin Texts.A Cross-Genre Survey. - Robert Loftin, Saptarashmi Bandyopadhyay, Mustafa Mert Çelikok:
On the Complexity of Learning to Cooperate with Populations of Socially Rational Agents. - Michael S. Floater, Georg Muntingh:
On the injectivity of mean value mappings between quadrilaterals. - Mehebub Alam, Rajni Kant Pandey:
Stability and Convergence Analysis of an Exact Finite Difference Scheme for Fredholm Integro-Differential Equations. - Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza:
A time-adaptive algorithm for pressure dominated flows: a heuristic estimator. - Ryoichi Ishizuka, Takashi Imai, Kaoru Kawamoto:
Time Series Clustering with General State Space Models via Stochastic Variational Inference. - Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu:
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones. - Joachim Deutscher:
Data-Driven Control of Linear Parabolic Systems using Koopman Eigenstructure Assignment. - Aaditya K. Singh, Yu Yang, Kushal Tirumala, Mostafa Elhoushi, Ari S. Morcos:
Brevity is the soul of wit: Pruning long files for code generation. - Weikai Lin, Yu Feng, Yuhao Zhu:
RTGS: Enabling Real-Time Gaussian Splatting on Mobile Devices Using Efficiency-Guided Pruning and Foveated Rendering. - Peiqin Lin, André F. T. Martins, Hinrich Schütze:
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models. - Rikhil Seshadri, Jayant Siva, Angelica Bartholomew, Clara Goebel, Gabriel Wallerstein-King, Beatriz López Morato, Nicholas Heller, Jason Scovell, Rebecca Campbell, Andrew Wood, Michal Ozery-Flato, Vesna Barros, Maria Gabrani, Michal Rosen-Zvi, Resha Tejpaul, Vidhyalakshmi Ramesh, Nikolaos Papanikolopoulos, Subodh Regmi, Ryan Ward, Robert Abouassaly, Steven C. Campbell, Erick Remer, Christopher Weight:
AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients. - Nikolaos Karaliolios, Dimitrios L. Karabalis:
The weak form of the SDOF and MDOF equation of motion, part I: Theory. - Ramesh Chandra Sau, Luowei Yin:
A Review of Neural Network Solvers for Second-order Boundary Value Problems. - Amir Rasouli, Iuliia Kotseruba:
Diving Deeper Into Pedestrian Behavior Understanding: Intention Estimation, Action Prediction, and Event Risk Assessment. - Agnieszka Niemczynowicz, Radoslaw Antoni Kycia:
Fully tensorial approach to hypercomplex neural networks. - Hang Li, Qian Feng, Zhi Zheng, Jianxiang Feng, Alois Knoll:
Language-Guided Object-Centric Diffusion Policy for Collision-Aware Robotic Manipulation. - Agnieszka Niemczynowicz, Radoslaw Antoni Kycia:
KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch. - Sourish Dasgupta, Ankush Chander, Parth Borad, Isha Motiyani, Tanmoy Chakraborty:
PerSEval: Assessing Personalization in Text Summarizers. - Ryokan Ri, Shun Kiyono, Sho Takase:
Self-Translate-Train: A Simple but Strong Baseline for Cross-lingual Transfer of Large Language Models. - Tessa Stanier, Hagyeong Shin:
Polarization and Morality: Lexical Analysis of Abortion Discourse on Reddit. - Yanlin Wang, Tianyue Jiang, Mingwei Liu, Jiachi Chen, Zibin Zheng:
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models. - Frédéric Bouchard, Sean Sedwards, Krzysztof Czarnecki:
A Rule-Based Behaviour Planner for Autonomous Driving. - Luyuan Xie, Manqing Lin, Siyuan Liu, ChenMing Xu, Tianyu Luan, Cong Li, Yuejian Fang, Qingni Shen, Zhonghai Wu:
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation. - Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève:
Open-Source Conversational AI with SpeechBrain 1.0. - Fatih Berkay Sarpkaya, Ashutosh Srivastava, Fraida Fund, Shivendra S. Panwar:
To Switch or Not to Switch to TCP Prague? Incentives for Adoption in a Partial L4S Deployment. - Ruchi Bhatt, Pratibha Kumari, Dwarikanath Mahapatra, Abdulmotaleb El-Saddik, Mukesh Saini:
Characterizing Continual Learning Scenarios and Strategies for Audio Analysis. - Xinna Lin, Siqi Ma, Junjie Shan, Xiaojing Zhang, Shell Xu Hu, Tiannan Guo, Stan Z. Li, Kaicheng Yu:
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science. - Ceyu Xu, Yongji Wu, Xinyu Yang, Beidi Chen, Matthew Lentz, Danyang Zhuo, Lisa Wu Wills:
VcLLM: Video Codecs are Secretly Tensor Codecs. - Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang:
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. - Umberto Villa, Thomas O'Leary-Roseberry:
A note on the relationship between PDE-based precision operators and Matérn covariances. - Luyuan Xie, Manqing Lin, ChenMing Xu, Tianyu Luan, Zhipeng Zeng, Wenjun Qian, Cong Li, Yuejian Fang, Qingni Shen, Zhonghai Wu:
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis. - Dmitry Nikolaev, Jorke Grotenhuis, Haleli Harel, Orly Goldwasser:
Classifier identification in Ancient Egyptian as a low-resource sequence-labelling task. - Thomas Mongaillard, Samson Lasaulce, Othman Hicheur, Chao Zhang, Lina Bariah, Vineeth S. Varma, Hang Zou, Qiyang Zhao, Mérouane Debbah:
Large Language Models for Power Scheduling: A User-Centric Approach. - Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang:
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. - Poulmi Banerjee, Satadal Saha:
Development of an interactive GUI using MATLAB for the detection of type and stage of Breast Tumor. - Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta:
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition. - Franco Oberti, Fabrizio Abrate, Alessandro Savino, Filippo Parisi, Stefano Di Carlo:
Navigating the road to automotive cybersecurity compliance. - Sriramkrishnan Muralikrishnan, Robert Speck:
ParaPIF: A Parareal Approach for Parallel-in-Time Integration of Particle-in-Fourier schemes. - Xiaoqing Ellen Tan, Prangthip Hansanti, Carleigh Wood, Bokai Yu, Christophe Ropers, Marta R. Costa-jussà:
Towards Massive Multilingual Holistic Bias. - Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou:
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. - Kunquan Deng, Zeyu Huang, Chen Li, Chenghua Lin, Min Gao, Wenge Rong:
PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models. - Weihang Xu, Maryam Fazel, Simon S. Du:
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models. - Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl:
Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model. - Olga Solodova, Nick Richardson, Deniz Oktay, Ryan P. Adams:
Graph Neural Networks Gone Hogwild. - Risto Vuorio, Mattie Fellows, Cong Lu, Clémence Grislain, Shimon Whiteson:
A Bayesian Solution To The Imitation Gap. - Aicheng Gong, Kai Yang, Jiafei Lyu, Xiu Li:
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation. - Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan:
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. - Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. - Alireza Moazeni, Shichong Peng, Ke Li:
Intrinsic PAPR for Point-level 3D Scene Albedo and Shading Editing. - Tong Mo, Shiran Dai, An Fu, Xiaomeng Zhu, Shuxiao Li:
Aeroengine performance prediction using a physical-embedded data-driven method. - Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An:
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. - Yue Fan, Yongqin Xian, Xiaohua Zhai, Alexander Kolesnikov, Muhammad Ferjad Naeem, Bernt Schiele, Federico Tombari:
Toward a Diffusion-Based Generalist for Dense Vision Tasks. - Chi Zhao, Jing Liu, Elena M. Parilina:
ShapG: new feature importance method based on the Shapley value. - Diego Martinez-Baselga, Eduardo Sebastián, Eduardo Montijano, Luis Riazuelo, Carlos Sagüés, Luis Montano:
AVOCADO: Adaptive Optimal Collision Avoidance driven by Opinion. - Mayra Russo, Maria-Esther Vidal:
Leveraging Ontologies to Document Bias in Data. - Simon Schmiedel:
Stochastic stem bucking using mixture density neural networks. - Kathryn Gray, Brian Bell, Diana Sieper, Stephen G. Kobourov, Falk Schreiber, Karsten Klein, Seokhee Hong:
Wooly Graphs : A Mathematical Framework For Knitting. - Zurh Farus, Betty Searcy, Tina Nassisid, Kevin Muhammad:
Dynamic Optimization of Video Streaming Quality Using Network Digital Twin Technology. - Pengbo Yan, Toby Murray, Olga Ohrimenko, Van-Thuan Pham, Robert Sison:
Combining Classical and Probabilistic Independence Reasoning to Verify the Security of Oblivious Algorithms (Extended Version). - Philipp Allgeuer, Hassan Ali, Stefan Wermter:
When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration. - Edward McDaid, Sarah McDaid:
Test Case Features as Hyper-heuristics for Inductive Programming. - Sao Mai Nguyen, Maxime Devanne, Olivier Rémy-Néris, Mathieu Lempereur, André Thépaut:
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis. - Mateusz Brzozowski, Artur Janicki:
Real-Time Energy Measurement for Non-Intrusive Well-Being Monitoring of Elderly People - a Case Study. - Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang:
Detecting and Identifying Selection Structure in Sequential Data. - Hok-Shing Lau, Mark Huntly, Nathon Morgan, Adesua Iyenoma, Biao Zeng, Tim Bashford:
Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders. - Jingwei Hu, Samuel Q. Van Fleet, Andy T. S. Wan:
Fully discrete energy-dissipative and conservative discrete gradient particle methods for a class of continuity equations. - Jagdeep Kaur, Kevin Antony, Nikhil Pujar, Ankit Jha:
Blockchain based Decentralized Petition System. - Caglar Ozturk, Daniel H. Pak, Luca Rosalia, Debkalpa Goswami, Mary E. Robakowski, Raymond McKay, Christopher T. Nguyen, James S. Duncan, Ellen T. Roche:
AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis. - Kiarash Sedghighadikolaei, Attila A. Yavuz:
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging. - Sung-Shik Jongmans:
Discourje: Run-Time Verification of Communication Protocols in Clojure - Live at Last (Technical Report). - Yen Sia Low, Michael L. Jackson, Rebecca J. Hyde, Robert E. Brown, Neil M. Sanghavi, Julian D. Baldwin, C. William Pike, Jananee Muralidharan, Gavin Hui, Natasha Alexander, Hadeel Hassan, Rahul V. Nene, Morgan Pike, Courtney J. Pokrzywa, Shivam Vedak, Adam Paul Yan, Dong-han Yao, Amy R. Zipursky, Christina Dinh, Philip Ballentine, Dan C. Derieg, Vladimir Polony, Rehan N. Chawdry, Jordan Davies, Brigham B. Hyde, Nigam H. Shah, Saurabh Gombar:
Answering real-world clinical questions using large language model based systems. - Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, Harish Ravichandar, Changliu Liu, Jeffrey Ichnowski:
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation. - Vamsi Addanki, Prateesh Goyal, Ilias Marinos:
Challenging the Need for Packet Spraying in Large-Scale Distributed Training. - Betty Searcy, Zurh Farus, Bronny Bush, Kevin Muhammad, Zubair Clinton:
Efficient Resource Management in Multicast Short Video Streaming Systems. - Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell:
Cooperative Advisory Residual Policies for Congestion Mitigation. - Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Yi-Shiuan Chou, Chih-Yu Jian, Chi-Han Tsai:
Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction. - Vijay Sadashivaiah, Mannudeep K. Kalra, Pingkun Yan, James A. Hendler:
Explaining Chest X-ray Pathology Models using Textual Concepts. - Qian Meng, Hadas Kress-Gazit:
Automated Robot Recovery from Assumption Violations of High-Level Specifications. - Yulin Zhang, Dylan A. Shell:
An abstract theory of sensor eventification. - Ke Ma, Junfei Xie:
Joint Task Allocation and Scheduling for Multi-Hop Distributed Computing. - Yexin Li, Zhancun Mu, Siyuan Qi:
A Contextual Combinatorial Bandit Approach to Negotiation. - Dibyajyoti Chakraborty, Seung Whan Chung, Romit Maulik:
Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations. - Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin:
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. - Miguel F. Arevalo-Castiblanco, Yejin Wi, Marzia Cescon, Cesar A. Uribe:
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks. - Khashayar Gatmiry, Jon Schneider:
Adversarial Online Learning with Temporal Feedback Graphs. - Danni Zhang, Dongling Wang:
Convergence analysis of exponential time differencing scheme for the nonlocal Cahn-Hilliard equation. - Kou Hamada, Sankardeep Chakraborty, Seungbum Jo, Takuto Koriyama, Kunihiko Sadakane, Srinivasa Rao Satti:
A Simple Representation of Tree Covering Utilizing Balanced Parentheses and Efficient Implementation of Average-Case Optimal RMQs. - Fengyuan Yang, Kerui Gu, Ha Linh Nguyen, Angela Yao:
OfCaM: Global Human Mesh Recovery via Optimization-free Camera Motion Scale Calibration. - Siddharth Chandak, Ilai Bistritz, Nicholas Bambos:
Learning to Control Unknown Strongly Monotone Games. - Yichen Zhang, Xinyi Chen, Chen Feng, Boyu Zhou, Shaojie Shen:
FALCON: Fast Autonomous Aerial Exploration using Coverage Path Guidance. - Yichen Zhang, Xinyi Chen, Peize Liu, Junzhe Wang, Hetai Zou, Neng Pan, Fei Gao, Shaojie Shen:
UniQuad: A Unified and Versatile Quadrotor Platform Series for UAV Research and Application. - Miaomiao Zhu, Pengxu Chen, Liang Yang, Alexandros-Apostolos A. Boulogeorgos, Theodoros A. Tsiftsis, Hongwu Liu:
Active-RIS-Aided Covert Communications in NOMA-Inspired ISAC Wireless Systems. - Al Nahian Bin Emran, Amrita Ganguly, Sadiya Sayara Chowdhury Puspo, Md. Nishat Raihan, Dhiman Goswami:
MasonTigers at SemEval-2024 Task 10: Emotion Discovery and Flip Reasoning in Conversation with Ensemble of Transformers and Prompting. - Oliver R. A. Dunbar, Nicholas H. Nelsen, Maya Mutic:
Hyperparameter Optimization for Randomized Algorithms: A Case Study for Random Features. - Tommaso Bianchi, Alessandro Brighente, Mauro Conti, Andrea Valori:
Your Car Tells Me Where You Drove: A Novel Path Inference Attack via CAN Bus and OBD-II Data. - Therese Biedl, Prosenjit Bose, Karthik Murali:
A Parameterized Algorithm for Vertex and Edge Connectivity of Embedded Graphs. - Yuvaraj Chesetti, Prashant Pandey:
Evaluating Learned Indexes for External-Memory Joins. - Junaid Akram, Ali Anaissi:
DDRM: Distributed Drone Reputation Management for Trust and Reliability in Crowdsourced Drone Services. - Ayush Ranjan, Daniel Wen, Karthik Bhat:
Unveiling Glitches: A Deep Dive into Image Encoding Bugs within CLIP. - Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li:
Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. - Yisong Xiao, Aishan Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao:
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. - Yiqin Wang, Haoji Zhang, Yansong Tang, Yong Liu, Jiashi Feng, Jifeng Dai, Xiaojie Jin:
Hierarchical Memory for Long Video QA. - Xuan Wang, Minxuan Zhou, Tajana Rosing:
Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration. - Samson Abramsky, Luca Reggio:
An invitation to game comonads. - Shian Du, Xiaotian Cheng, Qi Qian, Henglu Wei, Yi Xu, Xiangyang Ji:
Efficient Personalized Text-to-image Generation by Leveraging Textual Subspace. - Quang P. M. Pham, Khoi T. N. Nguyen, Lan C. Ngo, Truong Do, Truong Son Hy:
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding. - Dongxia Wu, Nikki Lijing Kuang, Ruijia Niu, Yi-An Ma, Rose Yu:
Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization. - Ziming Liu, Shaoyu Wang, Shenggan Cheng, Zhongkai Zhao, Xuanlei Zhao, James Demmel, Yang You:
WallFacer: Guiding Transformer Model Training Out of the Long-Context Dark Forest with N-body Problem. - Carlo Lovadina, Ilaria Perugia, Manuel Trezzi:
A Nonconforming Virtual Element Method for Advection-Diffusion-Reaction Problems with CIP Stabilization. - Ankur Sinha, Paritosh Pankaj:
A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning. - Fan Yang, Wenrui Chen, Kailun Yang, Haoran Lin, DongSheng Luo, Conghui Tang, Zhiyong Li, Yaonan Wang:
Learning Granularity-Aware Affordances from Human-Object Interaction for Tool-Based Functional Grasping in Dexterous Robotics. - Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu:
GC-Bench: An Open and Unified Benchmark for Graph Condensation. - Masoud Ataei, Vikas Dhiman:
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety. - Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu:
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning. - Tapan Jana, Amit Shaw, L. S. Ramachandra:
Damage evaluation in a concrete gravity dam using Smoothed particle hydrodynamics. - Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Bo Li, Chaowei Xiao:
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness. - Hao Wu, Jie Wang, Bican Xia, Xiakun Li, Naijun Zhan, Ting Gan:
Nonlinear Craig Interpolant Generation over Unbounded Domains by Separating Semialgebraic Sets. - Sangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank C. Park:
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models. - Tong Zhou:
Identification of LFT Structured Descriptor Systems with Slow and Non-uniform Sampling. - Mingyue Xie, Zheng Chang, Osama Alfarraj, Keping Yu, Tao Chen, Hongwei Li:
BAZAM: A Blockchain-Assisted Zero-Trust Authentication in Multi-UAV Wireless Networks. - Jintai Chen, Yaojun Hu, Yue Wang, Yingzhou Lu, Xu Cao, Miao Lin, Hongxia Xu, Jian Wu, Cao Xiao, Jimeng Sun, Lucas Glass, Kexin Huang, Marinka Zitnik, Tianfan Fu:
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets. - Pengying Wu, Yao Mu, Kangjie Zhou, Ji Ma, Junting Chen, Chang Liu:
CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations. - Ameya Pore, Riccardo Muradore, Diego Dall'Alba:
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction. - Jiawei Wang, Liping Yuan, Yuchen Zhang:
Tarsier: Recipes for Training and Evaluating Large Video Description Models. - Xinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. - Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. - Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy. - Jasper O. Schommartz, Dominik K. Klein, Juan C. Alzate Cobo, Oliver Weeger:
Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams. - Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
HASNAS: A Hardware-Aware Spiking Neural Architecture Search Framework for Neuromorphic Compute-in-Memory Systems. - Qiaolun Zhang, Annalisa Morea, Patricia Layec, Memedhe Ibrahimi, Francesco Musumeci, Massimo Tornatore:
A Power-Consumption Analysis for Different IPoWDM Network Architectures with ZR/ZR+ and Long-Haul Muxponders. - Farnaz Zeidi, Mehmet Fatih Amasyali, Çigdem Erol:
LegalTurk Optimized BERT for Multi-Label Text Classification and NER. - Yifei Zhang, Xintao Wang, Jiaqing Liang, Sirui Xia, Lida Chen, Yanghua Xiao:
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs. - Yuhang Wang, Waixiang Cao, Liang Pan:
Multiple-GPU accelerated high-order gas-kinetic scheme on three-dimensional unstructured meshes. - Chun-Hsiang Wang, Chung-Che Wang, Jun-You Wang, Jyh-Shing Roger Jang, Yen-Hsun Chu:
Improving Real-Time Music Accompaniment Separation with MMDenseNet. - Linzhu Yue, Lingwei Zhang, Zhitao Song, Hongbo Zhang, Jinhu Dong, Xuanqi Zeng, Yun-Hui Liu:
A Fast Online Omnidirectional Quadrupedal Jumping Framework Via Virtual-Model Control and Minimum Jerk Trajectory Generation. - Nhat-Minh Huynh, Hoang-Giang Cao, I-Chen Wu:
Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach. - Zekang Yang, Hong Liu, Xiangdong Wang:
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images. - Yuliang Huang, Björn Eiben, Kris Thielemans, Jamie R. McClelland:
Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography. - Yanfang Chen, Ding Chen, Shichao Song, Simin Niu, Hanyu Wang, Zeyun Tang, Feiyu Xiong, Zhiyu Li:
HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainability. - Michael Moran, Vladimir V. Gusev, Michael W. Gaultois, Dmytro Antypov, Matthew J. Rosseinsky:
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics. - Shahar Shaul-Ariel, Daphna Weinshall:
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning. - Xiao-Cheng Liao, Wei-Neng Chen, Xiang-Ling Chen, Yi Mei:
Emergent Crowd Grouping via Heuristic Self-Organization. - Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, Yunhe Wang:
Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation. - Dhruv Pratap Singh, Anjana Ambika Mahesh, B. Sundar Rajan:
Combinatorial Multi-Access Coded Caching with Private Caches. - Fazeel Asim:
Multi-Task Learning for Affect Analysis. - Peipei Yu, Zhenyi Wang, Hongcai Zhang, Yonghua Song:
Safe Reinforcement Learning for Power System Control: A Review. - Yuqiao Yang, Zhongjie Wu, Yongzhao Zhang, Ting Chen, Jun Li, Jie Yang, Wenhao Liu, Xiaosong Zhang, Ruicong Shi, Jingwei Li, Yu Jiang, Zhuo Su:
UWBAD: Towards Effective and Imperceptible Jamming Attacks Against UWB Ranging Systems with COTS Chips. - Xiaolong Liang, Yì N. Wáng:
Field Knowledge as a Dual to Distributed Knowledge: A Characterization by Weighted Modal Logic. - Marco Carmosino, Ronald Fagin, Neil Immerman, Phokion G. Kolaitis, Jonathan Lenchner, Rik Sengupta:
On the Number of Quantifiers Needed to Define Boolean Functions. - Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun:
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models. - Gabriel Poesia, David Broman, Nick Haber, Noah D. Goodman:
Learning Formal Mathematics From Intrinsic Motivation. - Jiongshu Wang, Jing Yang, Jiankang Deng, Hatice Gunes, Siyang Song:
Graph in Graph Neural Network. - Huawei Sun, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille:
CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation. - Sydney Balboni, Grace Ivey, Brett Storoe, John Cisler, Tyge Plater, Caitlyn Grant, Ella Bruce, Benjamin Paulson:
NourishNet: Proactive Severity State Forecasting of Food Commodity Prices for Global Warning Systems. - Kwanyoung Park, Youngwoon Lee:
Tackling Long-Horizon Tasks with Model-based Offline Reinforcement Learning. - Hengzhun Chen, Yingzhou Li:
On the Continuity of Schur-Horn Mapping. - Pawel Robert Smolinski, Joseph Januszewicz, Jacek Winiarski:
Scaling Technology Acceptance Analysis with Large Language Model (LLM) Annotation Systems. - Swetha Medipelly, Nasr Abosata:
Detection of Dark Web Threats Using Machine Learning and Image Processing. - Andersen Ang, Waqas Bin Hamed, Hans De Sterck:
Sum-of-norms regularized Nonnegative Matrix Factorization. - Jing Zhang, Xiaoqian Jiang, Yingjie Xie, Cangqi Zhou:
Heterogeneous Graph Contrastive Learning with Spectral Augmentation. - Tuan L. Vo, Uyen Dang, Thu Nguyen:
Weighted Missing Linear Discriminant Analysis: An Explainable Approach for Classification with Missing Data. - Yanfang Liu, Lei He, Wei W. Xing:
Beyond the Yield Barrier: Variational Importance Sampling Yield Analysis. - Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao:
Learning System Dynamics without Forgetting. - Anqi Zhou, Yezheng Liu, Yidong Chai, Hongyi Zhu, Xinyue Ge, Yuanchun Jiang, Meng Wang:
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning. - Qiuhao Lu, Rui Li, Andrew Wen, Jinlian Wang, Liwei Wang, Hongfang Liu:
Large Language Models Struggle in Token-Level Clinical Named Entity Recognition. - (Withdrawn) Balanced Learned Sort: a new learned model for fast and balanced item bucketing.
- Mushui Liu, Yuhang Ma, Xinfeng Zhang, Yang Zhen, Zeng Zhao, Zhipeng Hu, Bai Liu, Changjie Fan:
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation. - Momir Adzemovic, Predrag Tadic, Andrija Petrovic, Mladen Nikolic:
Engineering an Efficient Object Tracker for Non-Linear Motion. - Hye Ryung Son, Jay-Yoon Lee:
Locate&Edit: Energy-based Text Editing for Efficient, Flexible, and Faithful Controlled Text Generation. - (Withdrawn) Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints.
- Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao:
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph. - Sheng Wu, Jiaxing Liu, Longbiao Wang, Dongxiao He, Xiaobao Wang, Jianwu Dang:
AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations. - Filippo Torresan, Manuel Baltieri:
Disentangled Representations for Causal Cognition. - Joan Bruna, Jiequn Han:
Posterior Sampling with Denoising Oracles via Tilted Transport. - Johannes J. Brust, Michael A. Saunders:
Structured Sketching for Linear Systems. - Huyen Nguyen, Haihua Chen, Lavanya Pobbathi, Junhua Ding:
A Comparative Study of Quality Evaluation Methods for Text Summarization. - Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao:
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction. - Wenwen Chen, Bin Han, Yao Zhu, Anke Schmeink, Giuseppe Caire, Hans D. Schotten:
Physical Layer Deception with Non-Orthogonal Multiplexing. - Peng Huang, Xue Gao, Lihong Huang, Jing Jiao, Xiaokang Li, Yuanyuan Wang, Yi Guo:
Chest-Diffusion: A Light-Weight Text-to-Image Model for Report-to-CXR Generation. - Farid Bozorgnia:
Improved Graph-based semi-supervised learning Schemes. - Govinda Anantha Padmanabha, Jan Niklas Fuhg, Cosmin Safta, Reese E. Jones, Nikolaos Bouklas:
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models. - Yoonjae Lee, Goutam Das, Daigo Shishika, Efstathios Bakolas:
Guarding a Target Area from a Heterogeneous Group of Cooperative Attackers. - Stefan Arnold, Rene Gröbner, Annika Schreiner:
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training. - Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou:
Structured and Balanced Multi-component and Multi-layer Neural Networks. - Masato Murata, Koichi Miyazaki, Tomoki Koriyama:
An Attribute Interpolation Method in Speech Synthesis by Model Merging. - Deepika Tiwari, Yogya Gamage, Martin Monperrus, Benoit Baudry:
PROZE: Generating Parameterized Unit Tests Informed by Runtime Data. - Geigh Zollicoffer, Kshitij Bhatta, Manish Bhattarai, Phil Romero, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin:
Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework. - Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li:
Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning. - Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer:
Diffusion Models and Representation Learning: A Survey. - Ankit Gangwal, Aashish Paliwal:
CSUM: A Novel Mechanism for Updating CubeSat while Preserving Authenticity and Integrity. - Najwa Alshehri, Daniele Boffi, Lucia Gastaldi:
A posteriori error estimator for elliptic interface problems in the fictitious formulation. - Reda Igebaria, Eran Fainman, Sarai Mizrachi, Moran Beladev, Fengjun Wang:
Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations. - Haofan Wang, Peng Xing, Renyuan Huang, Hao Ai, Qixun Wang, Xu Bai:
InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation. - Nikos Barakitis, Valerio Loi, Stefano Serra-Capizzano:
A note on eigenvalues and singular values of variable Toeplitz matrices and matrix-sequences, with application to variable two-step BDF approximations to parabolic equations. - Alessio Russo, Alexandre Proutière:
Model-Free Active Exploration in Reinforcement Learning. - Agustín Roca, Nicolás Ignacio Britos:
Controlling Face's Frame generation in StyleGAN's latent space operations: Modifying faces to deceive our memory. - Elliott Thornley, Alexander Roman, Christos Ziakas, Leyton Ho, Louis Thomson:
Towards shutdownable agents via stochastic choice. - Ori Linial, Guy Tennenholtz, Uri Shalit:
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators. - Hong Zhao, Jin Wei-Kocsis, Adel Heidari Akhijahani, Karen L. Butler-Purry:
Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis. - Matthew Lowery, John Turnage, Zachary Morrow, John D. Jakeman, Akil Narayan, Shandian Zhe, Varun Shankar:
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning. - Bowen Shen, Kwok-Yan Lam, Feng Li:
Privacy-Aware Spectrum Pricing and Power Control Optimization for LEO Satellite Internet-of-Things. - Luca Crupi, Luca Butera, Alberto Ferrante, Daniele Palossi:
A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones. - Supriyo Maji, Hyungjoo Park, Gi moon Hong, Souradip Poddar, David Z. Pan:
Multi-Objective Optimization for Common-Centroid Placement of Analog Transistors. - Ricardo de Deijn, Rajeev Bukralia:
Image Classification for Snow Detection to Improve Pedestrian Safety. - Bowen Wen:
Localization and Perception for Control of a Low Speed Autonomous Shuttle in a Campus Pilot Deployment. - Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky:
ROM inversion of monostatic data lifted to full MIMO. - Saray Busto, Laura Río-Martín:
Semi-implicit hybrid finite volume/finite element method for the GPR model of continuum mechanics. - Yuka Ko, Ryo Fukuda, Yuta Nishikawa, Yasumasa Kano, Tomoya Yanagita, Kosuke Doi, Mana Makinae, Haotian Tan, Makoto Sakai, Sakriani Sakti, Katsuhito Sudoh, Satoshi Nakamura:
NAIST Simultaneous Speech Translation System for IWSLT 2024. - C. T. Kelley:
Interprecision transfers in iterative refinement. - Badreddine Yacine Yacheur, Toufik Ahmed, Mohamed Mosbah:
DRL-Based RAT Selection in a Hybrid Vehicular Communication Network. - Pratyush Das, Adhitha Dias, Anxhelo Xhebraj, Artem Pelenitsyn, Kirshanthan Sundararajah, Milind Kulkarni:
SABLE: Staging Blocked Evaluation of Sparse Matrix Computations. - Ogulcan Eryuksel, Kamil Anil Ozfuttu, Fatih Cagatay Akyon, Kadir Sahin, Efe Buyukborekci, Devrim Cavusoglu, Sinan Altinuc:
DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection. - Michael Wawrzoniak, Rodrigo Bruno, Ana Klimovic, Gustavo Alonso:
Boxer: FaaSt Ephemeral Elasticity for Off-the-Shelf Cloud Applications. - Weiying Zhao, Natalia Efremova:
Prediction of Sentinel-2 multi-band imagery with attention BiLSTM for continuous earth surface monitoring. - William Chen, Wangyou Zhang, Yifan Peng, Xinjian Li, Jinchuan Tian, Jiatong Shi, Xuankai Chang, Soumi Maiti, Karen Livescu, Shinji Watanabe:
Towards Robust Speech Representation Learning for Thousands of Languages. - Michael Wawrzoniak, Rodrigo Bruno, Ana Klimovic, Gustavo Alonso:
Imaginary Machines: A Serverless Model for Cloud Applications. - Zekai Wang, Tieming Liu, Bing Yao:
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records. - Rahul Kumar Padhy, Aaditya Chandrasekhar:
PhoTOS: Topology Optimization of Photonic Components using a Shape Library. - Adnan Abdullah, Ruo Chen, Ioannis M. Rekleitis, Md Jahidul Islam:
Ego-to-Exo: Interfacing Third Person Visuals from Egocentric Views in Real-time for Improved ROV Teleoperation. - Jiajun Zhu, Siqi Miao, Rex Ying, Pan Li:
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning. - Max Muzeau, Joana Frontera-Pons, Chengfang Ren, Jean Philippe Ovarlez:
SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs. - Supatsara Wattanakriengkrai, Christoph Treude, Raula Gaikovina Kula:
Contributing Back to the Ecosystem: A User Survey of NPM Developers. - Connor Malone, Ankit Vora, Thierry Peynot, Michael Milford:
Dynamically Modulating Visual Place Recognition Sequence Length For Minimum Acceptable Performance Scenarios. - Nexhi Sula, Abhinav Kumar, Jie Hou, Han Wang, Reza Tourani:
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning. - Christian Pinto, Dong Li, Thaleia Dimitra Doudali, Christina Giannoula, Jie Ren:
Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems. - Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang:
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks. - Ryan Louie, Ananjan Nandi, William Fang, Cheng Chang, Emma Brunskill, Diyi Yang:
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles. - Yuan Tang:
A Reexamination of the Communication Bandwidth Cost Analysis of A Parallel Recursive Algorithm for Solving Triangular Systems of Linear Equations. - Junaid Akram, Ali Anaissi:
Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services. - Tianhao Li, Shangjie Li, Binbin Xie, Deyi Xiong, Baosong Yang:
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting. - Junaid Akram, Ali Anaissi:
Decentralized PKI Framework for Data Integrity in Spatial Crowdsourcing Drone Services. - Alin-Bogdan Popa, Pantelimon George Popescu:
The Future of QKD Networks. - Sunyanan Choochotkaew, Chen Wang, Huamin Chen, Tatsuhiro Chiba, Marcelo Amaral, Eun Kyung Lee, Tamar Eilam:
A Robust Power Model Training Framework for Cloud Native Runtime Energy Metric Exporter. - Chryssis Georgiou, Nicolas Nicolaou, Andria Trigeorgi:
Ares II: Tracing the Flaws of a (Storage) God. - Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Anobel Y. Odisho, Peter R. Carroll, Bin Yu:
Mechanistic Interpretation through Contextual Decomposition in Transformers. - Hyunseok Oh, Juheon Yi, Youngki Lee:
Papez: Resource-Efficient Speech Separation with Auditory Working Memory. - Cora A. Dimmig, Marin Kobilarov:
Non-Prehensile Aerial Manipulation using Model-Based Deep Reinforcement Learning. - Ziyan Wang, Zhankun Xiong, Feng Huang, Xuan Liu, Wen Zhang:
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment. - Wen Dong, Dongling Wang:
Mittag-Leffler stability of complete monotonicity-preserving schemes for time-dependent coefficients sub-diffusion equations. - Jasivan Alex Sivakumar, Nafise Sadat Moosavi:
How to Leverage Digit Embeddings to Represent Numbers? - Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan:
Residual-MPPI: Online Policy Customization for Continuous Control. - Shubhra Mishra, Gabriel Poesia, Belinda Mo, Noah D. Goodman:
MathCAMPS: Fine-grained Synthesis of Mathematical Problems From Human Curricula. - Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen:
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. - Fengting Mo, Shanshan Yan, Yinhao Xiao:
Background-aware Multi-source Fusion Financial Trend Forecasting Mechanism. - Shuqing Luo, Bowen Qu, Wei Gao:
Learning Robust 3D Representation from CLIP via Dual Denoising. - Yuming Zhang, Dongzhi Guan, Shouxin Zhang, Junhao Su, Yunzhi Han, Jiabin Liu:
GSO-YOLO: Global Stability Optimization YOLO for Construction Site Detection. - Chunmei Wang, Junping Wang:
A Parallel iterative Algorithm for primal-dual weak Galerkin Schemes. - Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour:
FineSurE: Fine-grained Summarization Evaluation using LLMs. - Xiaopeng Liu, Juan Zhang, Chongqi Ren, Shenghui Xu, Zhaoming Pan, Zhimin Zhang:
Heterogeneous Graph-based Framework with Disentangled Representations Learning for Multi-target Cross Domain Recommendation. - Jiangqin Ma, Bilal Mawji, Franz Williams:
Deep Image-to-Recipe Translation. - Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu:
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. - Oguzhan Baser, Kaan Kale, Sandeep P. Chinchali:
SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures. - Junfan Li, Shizhong Liao:
Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis. - Tanqiu Qiao, Ruochen Li, Frederick W. B. Li, Hubert P. H. Shum:
From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos. - Xinhao Deng, Qi Li, Ke Xu:
Robust and Reliable Early-Stage Website Fingerprinting Attacks via Spatial-Temporal Distribution Analysis. - Qiang Zheng, Yafei Qi, Chen Wang, Chao Zhang, Jian Sun:
PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis. - Yufan Li, Zhan Wang, Theo Papatheodorou:
Staying vigilant in the Age of AI: From content generation to content authentication. - Oleg Vasilyev, Randy Sawaya, John Bohannon:
Preserving Multilingual Quality While Tuning Query Encoder on English Only. - Jingheng Ye, Shang Qin, Yinghui Li, Xuxin Cheng, Libo Qin, Hai-Tao Zheng, Peng Xing, Zishan Xu, Guo Cheng, Zhao Wei:
EXCGEC: A Benchmark of Edit-wise Explainable Chinese Grammatical Error Correction. - Xuling Zhang, Ziru Zhang, Yuyang Wang, Lik-Hang Lee, Pan Hui:
SIDQL: An Efficient Keyframe Extraction and Motion Reconstruction Framework in Motion Capture. - Arnab Bhattacharyya, Davin Choo, Sutanu Gayen, Dimitrios Myrisiotis:
Learnability of Parameter-Bounded Bayes Nets. - Songwei Liu, Chao Zeng, Lianqiang Li, Chenqian Yan, Lean Fu, Xing Mei, Fangmin Chen:
FoldGPT: Simple and Effective Large Language Model Compression Scheme. - Amogh Joshi, Sourav Sanyal, Kaushik Roy:
Real-Time Neuromorphic Navigation: Integrating Event-Based Vision and Physics-Driven Planning on a Parrot Bebop2 Quadrotor. - Xueyao Zhang, Bo Yang, Zhiwen Yu, Xuelin Cao, George C. Alexandropoulos, Yan Zhang, Mérouane Debbah, Chau Yuen:
Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis. - Jingheng Ye, Zishan Xu, Yinghui Li, Xuxin Cheng, Linlin Song, Qingyu Zhou, Hai-Tao Zheng, Ying Shen, Xin Su:
CLEME2.0: Towards More Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction. - Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang:
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining. - Xin Wang, Zirui Chen, Haofen Wang, Leong Hou U, Zhao Li, Wenbin Guo:
Large Language Model Enhanced Knowledge Representation Learning: A Survey. - Naiming Liu, Shashank Sonkar, Myco Le, Richard G. Baraniuk:
MalAlgoQA: A Pedagogical Approach for Evaluating Counterfactual Reasoning Abilities. - Wathsala Karunarathne, Indu Bala, Dikshit Chauhan, Matthew Roughan, Lewis Mitchell:
Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism. - Litao Zhou, Qianyong Wan, Bruno C. d. S. Oliveira:
Full Iso-recursive Types. - Jingheng Ye, Yong Jiang, Xiaobin Wang, Yinghui Li, Yangning Li, Hai-Tao Zheng, Pengjun Xie, Fei Huang:
ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions. - Jiaxiang Geng, Boyu Li, Xiaoqi Qin, Yixuan Li, Liang Li, Yanzhao Hou, Miao Pan:
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection. - Bin Huang, Xubiao Liu, Lei Fang, Qiegen Liu, Bingxuan Li:
Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction. - Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. - Shangqing Cao, Xuan Jiang, Emin Burak Onat, Bo Zou, Mark Hansen, Raja Sengupta, Anjan Chakrabarty:
Fleet Size and Spill for UAM Operation under Uncertain Demand. - Tanush Chopra, Michael Li:
The House Always Wins: A Framework for Evaluating Strategic Deception in LLMs. - Yanheng Wang, Xiaohan Yu, Yongsheng Gao, Jianjun Sha, Jian Wang, Lianru Gao, Yonggang Zhang, Xianhui Rong:
SpectralKAN: Kolmogorov-Arnold Network for Hyperspectral Images Change Detection. - Ziyi Liu, Idan Attias, Daniel M. Roy:
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals. - Shangqing Cao, Aparimit Kasliwal, Masoud Reihanifar, Francesc Robuste, Mark Hansen:
Effective Management of Airport Security Queues with Passenger Reassignment. - Zheng Lin, Xuanjie Hu, Yuxin Zhang, Zhe Chen, Zihan Fang, Xianhao Chen, Ang Li, Praneeth Vepakomma, Yue Gao:
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models. - Xiang Jiao, Dingzhu Wen, Guangxu Zhu, Wei Jiang, Wu Luo, Yuanming Shi:
Task-oriented Over-the-air Computation for Edge-device Co-inference with Balanced Classification Accuracy. - Han-Jia Ye, Si-Yang Liu, Hao-Run Cai, Qi-Le Zhou, De-Chuan Zhan:
A Closer Look at Deep Learning on Tabular Data. - Ezekiel Williams, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Alexandre Payeur, Matthew G. Perich, Luca Mazzucato, Guillaume Lajoie:
Expressivity of Neural Networks with Random Weights and Learned Biases. - Wei Wang, Qing Li:
Universal Approximation Theory: The basic theory for large language models. - Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone:
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. - Gautam Chandrasekaran, Adam R. Klivans, Vasilis Kontonis, Raghu Meka, Konstantinos Stavropoulos:
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension. - Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye:
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model. - Ahmet Cagri Duzgun, Samy Jelassi, Yuanzhi Li:
How Does Overparameterization Affect Features? - Donghyun Kim, Seil Kang, Seong Jae Hwang:
FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing. - Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu G. A. Lapôtre, Marco Pavone, Mark R. Cutkosky:
Locomotion as Manipulation with ReachBot. - Cheng Su, Jinbo Wen, Jiawen Kang, Yonghua Wang, Hudan Pan, M. Shamim Hossain:
Hybrid RAG-empowered Multi-modal LLM for Secure Healthcare Data Management: A Diffusion-based Contract Theory Approach. - Hanwen Su, Ge Song, Kai Huang, Jiyan Wang, Ming Yang:
Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval. - Canjie Cai:
Acceleration method for generating perception failure scenarios based on editing Markov process. - Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang:
VisEval: A Benchmark for Data Visualization in the Era of Large Language Models. - Ruinan Jin, Zikang Xu, Yuan Zhong, Qiongsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li:
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. - Takayuki Nishimura, Katsuyuki Kuyo, Motonari Kambara, Komei Sugiura:
Object Segmentation from Open-Vocabulary Manipulation Instructions Based on Optimal Transport Polygon Matching with Multimodal Foundation Models. - Miao Guo, Yifei Sun, Chaojie Gu, Shibo He, Zhiguo Shi:
Exploiting Dependency-Aware Priority Adjustment for Mixed-Criticality TSN Flow Scheduling. - Shihan Deng, Weikai Xu, Hongda Sun, Wei Liu, Tao Tan, Jianfeng Liu, Ang Li, Jian Luan, Bin Wang, Rui Yan, Shuo Shang:
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents. - Longchao Da, Tiejin Chen, Lu Cheng, Hua Wei:
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation. - Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin:
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. - Nicy Scaria, Silvester John Joseph Kennedy, Deepak N. Subramani:
Can Small Language Models Learn, Unlearn, and Retain Noise Patterns? - Phillip Schneider, Wessel Poelman, Michael Rovatsos, Florian Matthes:
Engineering Conversational Search Systems: A Review of Applications, Architectures, and Functional Components. - Bryan-Elliott Tam, Ruben Taelman, Pieter Colpaert, Ruben Verborgh:
Opportunities for Shape-based Optimization of Link Traversal Queries. - Marek Grzesiak, Param Thakkar:
Flood Prediction Using Classical and Quantum Machine Learning Models. - Wenqiang Zu, Shenghao Xie, Qing Zhao, Guoqi Li, Lei Ma:
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images. - Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen:
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. - Yuning Chen, Kang Yang, Zhiyu An, Brady Holder, Luke Paloutzian, Khaled Bali, Wan Du:
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge. - Huijie Fan, Tinghui Zhao, Qiang Wang, Baojie Fan, Yandong Tang, Lianqing Liu:
GMT: A Robust Global Association Model for Multi-Target Multi-Camera Tracking. - Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li:
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models. - Md Rafid Islam:
Parallel Computing Architectures for Robotic Applications: A Comprehensive Review. - Youngmin Seo, Jinha Kim, Unsang Park:
Swish-T : Enhancing Swish Activation with Tanh Bias for Improved Neural Network Performance. - Ruofei Bai, Shenghai Yuan, Hongliang Guo, Pengyu Yin, Wei-Yun Yau, Lihua Xie:
Collaborative Graph Exploration with Reduced Pose-SLAM Uncertainty via Submodular Optimization. - Weimin Bai, Yifei Wang, Wenzheng Chen, He Sun:
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations. - Dingkang Liang, Wei Hua, Chunsheng Shi, Zhikang Zou, Xiaoqing Ye, Xiang Bai:
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection. - Wenhan Yang, Zixuan Hu, Lilang Lin, Jiaying Liu, Ling-Yu Duan:
Coding for Intelligence from the Perspective of Category. - Wing-Chau Ng, Chuandong Li:
Experimental Comparison of Average-Power Constrained and Peak-Power Constrained 64QAM under Optimal Clipping in 400Gbps Unamplified Coherent Links. - Bilel Bensaid, Gaël Poëtte, Rodolphe Turpault:
An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence. - Masatoshi Hidaka, Tomohiro Hashimoto, Yuto Nishizawa, Tatsuya Harada:
DistML.js: Installation-free Distributed Deep Learning Framework for Web Browsers. - Xiangyu Lin, Weijia Jia, Zhiguo Gong:
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision. - Weimin Bai, Siyi Chen, Wenzheng Chen, He Sun:
Blind Inversion using Latent Diffusion Priors. - Chenxin Li, Brandon Y. Feng, Yifan Liu, Hengyu Liu, Cheng Wang, Weihao Yu, Yixuan Yuan:
EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting. - Dan Peng, Zhihui Fu, Jun Wang:
PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs. - Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger:
Overcoming Common Flaws in the Evaluation of Selective Classification Systems. - Yongqiang Cai, Gaohang Chen, Zhonghua Qiao:
Neural Networks Trained by Weight Permutation are Universal Approximators. - Han EunGi, Oh Hyun-Bin, Kim Sung-Bin, Corentin Nivelet Etcheberry, Suekyeong Nam, Janghoon Joo, Tae-Hyun Oh:
Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert. - Yiyuan Li, Shichao Sun, Pengfei Liu:
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models. - Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma:
Development of Cognitive Intelligence in Pre-trained Language Models. - Artem Moskalev, Mangal Prakash, Rui Liao, Tommaso Mansi:
SE(3)-Hyena Operator for Scalable Equivariant Learning. - Yenan Chen, Chuye Zhang, Pengxi Gu, Jianuo Qiu, Jiayi Yin, Nuofan Qiu, Guojing Huang, Bangchao Huang, Zishang Zhang, Hui Deng, Wei Zhang, Fang Wan, Chaoyang Song:
Evolutionary Morphology Towards Overconstrained Locomotion via Large-Scale, Multi-Terrain Deep Reinforcement Learning. - Linh Anh Nguyen:
Efficient algorithms for computing bisimulations for nondeterministic fuzzy transition systems. - Beatrice Alessandra Motetti, Matteo Risso, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. - Meng Ai, Zhuo Chen, Jibin Wang, Jing Shang, Tao Tao, Zhen Li:
Improve ROI with Causal Learning and Conformal Prediction. - Changde Du, Kaicheng Fu, Bincheng Wen, Yi Sun, Jie Peng, Wei Wei, Ying Gao, Shengpei Wang, Chuncheng Zhang, Jinpeng Li, Shuang Qiu, Le Chang, Huiguang He:
Human-like object concept representations emerge naturally in multimodal large language models. - Paul Missault, Abdelmaseeh Felfel:
Deep Domain Specialisation for single-model multi-domain learning to rank. - Jonas Lill, Kalina Petrova, Simon Weber:
Linear-Time MaxCut in Multigraphs Parameterized Above the Poljak-Turzík Bound. - Soojin Woo, Donghwi Jung, Seong-Woo Kim:
No More Potentially Dynamic Objects: Static Point Cloud Map Generation based on 3D Object Detection and Ground Projection. - Christopher Otto, Prashanth Chandran, Sebastian Weiss, Markus Gross, Gaspard Zoss, Derek Bradley:
Multimodal Conditional 3D Face Geometry Generation. - Francisco Sousa, Tomás Alves, Sandra Gama, Joaquim Jorge, Daniel Gonçalves:
Impact of Social Relationships on Peer Assessment in E-Learning. - Yunqi Xu, Tianchi Cai, Jiyan Jiang, Xierui Song:
Face4RAG: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese. - Yuxuan Wang, Yijun Liu, Fei Yu, Chen Huang, Kexin Li, Zhiguo Wan, Wanxiang Che:
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation. - Minh Nguyen, Andrew Baker, Andreas Kirsch, Clement Neo:
Min P Sampling: Balancing Creativity and Coherence at High Temperature. - Zdenek Boucek, Miroslav Flídr, Ondrej Straka:
Mission Planner for UAV Battery Replacement. - Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong:
Rethinking LLM-based Preference Evaluation. - Matteo Calafà, Emil Hovad, Allan P. Engsig-Karup, Tito Andriollo:
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems. - Leon Engländer, Hannah Sterz, Clifton Poth, Jonas Pfeiffer, Ilia Kuznetsov, Iryna Gurevych:
M2QA: Multi-domain Multilingual Question Answering. - Ivan Drokin:
Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies. - Senyu Han, Lu Chen, Li-Min Lin, Zhengshan Xu, Kai Yu:
IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generation. - Mingxiang Liao, Hannan Lu, Xinyu Zhang, Fang Wan, Tianyu Wang, Yuzhong Zhao, Wangmeng Zuo, Qixiang Ye, Jingdong Wang:
Evaluation of Text-to-Video Generation Models: A Dynamics Perspective. - Zdenek Boucek, Miroslav Flídr, Ondrej Straka:
Trajectory Tracking for UAVs: An Interpolating Control Approach. - Zhan Chen, Chen Tang, Lu Xiong:
HGNET: A Hierarchical Feature Guided Network for Occupancy Flow Field Prediction. - Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh, Yousef Saad:
Randomized linear solvers for computational architectures with straggling workers. - Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji:
Eliminating Position Bias of Language Models: A Mechanistic Approach. - David Rau, Hervé Déjean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Vassilina Nikoulina, Stéphane Clinchant:
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation. - Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu:
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding. - Ziqi Zeng, Chen Zhao, Weiling Cai, Chenyu Dong:
Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow Removal. - Christoforus Yoga Haryanto, Minh Hieu Vu, Trung Duc Nguyen, Emily Lomempow, Yulia Nurliana, Sona Taheri:
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest. - Hao Wang, Zhichao Chen, Yuan Shen, Jiajun Fan, Zhaoran Liu, Degui Yang, Xinggao Liu, Haoxuan Li:
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation. - Markus Stroot, Stefan Seiler, Philipp Lutat, Andreas Ulbig:
An AI-based, Error-bounded Compression Scheme for High-frequency Power Quality Disturbance Data. - Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. - Eliza Femi Sherley S, Sanjay T, Shri Kaanth P, Jeffrey Samuel S:
Comprehensive Dataset for Urban Streetlight Analysis. - Guillermo Marco, Julio Gonzalo, Ramón del Castillo, María Teresa Mateo Girona:
Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing? - Patrizio Giovannotti, Alexander Gammerman:
Calibrated Large Language Models for Binary Question Answering. - Agus L. Soenjaya:
Mixed finite element methods for the Landau-Lifshitz-Baryakhtar and the regularised Landau-Lifshitz-Bloch equations in micromagnetics. - Nadezhda Chirkova, Vassilina Nikoulina, Jean-Luc Meunier, Alexandre Bérard:
Investigating the potential of Sparse Mixtures-of-Experts for multi-domain neural machine translation. - Antoine Amarilli, Florent Capelli:
Tractable Circuits in Database Theory. - Ramy Battrawy, René Schuster, Didier Stricker:
RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds. - Rao Ma, Yassir Fathullah, Mengjie Qian, Siyuan Tang, Mark J. F. Gales, Kate M. Knill:
Cross-Lingual Transfer Learning for Speech Translation. - Xuyang Liu, Ting Liu, Siteng Huang, Yue Hu, Quanjun Yin, Donglin Wang, Honggang Chen:
M2IST: Multi-Modal Interactive Side-Tuning for Memory-efficient Referring Expression Comprehension. - Kassem Sabeh, Robert Litschko, Mouna Kacimi, Barbara Plank, Johann Gamper:
An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification. - Yanli Li, Tahereh Hassanzadeh, Denis P. Shamonin, Monique Reijnierse, Annette H. M. van der Helm-van Mil, Berend C. Stoel:
Integrated feature analysis for deep learning interpretation and class activation maps. - Oliver Schrüfer, Manuel Milling, Felix Burkhardt, Florian Eyben, Björn W. Schuller:
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition. - Sidney G.-J. Wong:
Sociocultural Considerations in Monitoring Anti-LGBTQ+ Content on Social Media. - Abdulaziz Alwalan, Miguel Arana-Catania:
Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning. - Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng:
CPT: Consistent Proxy Tuning for Black-box Optimization. - Shaeke Salman, Md Montasir Bin Shams, Xiuwen Liu:
Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models. - Takyoung Kim, Kyungjae Lee, Young Rok Jang, Ji Yong Cho, Gangwoo Kim, Minseok Cho, Moontae Lee:
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation. - Hsin-Ruey Tsai, Shih-Kang Chiu, Bryan Wang:
GazeNoter: Co-Piloted AR Note-Taking via Gaze Selection of LLM Suggestions to Match Users' Intentions. - Luca Pinchetti, Chang Qi, Oleh Lokshyn, Gaspard Olivers, Cornelius Emde, Mufeng Tang, Amine M'Charrak, Simon Frieder, Bayar Menzat, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori:
Benchmarking Predictive Coding Networks - Made Simple. - Sara Saeidian, Leonhard Grosse, Parastoo Sadeghi, Mikael Skoglund, Tobias J. Oechtering:
Information Density Bounds for Privacy. - Kalibinuer Tiliwalidi, Chengyin Hu, Weiwen Shi:
Multi-View Black-Box Physical Attacks on Infrared Pedestrian Detectors Using Adversarial Infrared Grid. - Achim Blumensath:
Some Remarks on First-Order Definable Tree Languages. - Vladimir R. Kostic, Karim Lounici, Grégoire Pacreau, Pietro Novelli, Giacomo Turri, Massimiliano Pontil:
Neural Conditional Probability for Inference. - Aviv Yaish, Benjamin Livshits:
TierDrop: Harnessing Airdrop Farmers for User Growth. - Hongkang Yang, Zehao Lin, Wenjin Wang, Hao Wu, Zhiyu Li, Bo Tang, Wenqiang Wei, Jinbo Wang, Zeyun Tang, Shichao Song, Chenyang Xi, Yu Yu, Kai Chen, Feiyu Xiong, Linpeng Tang, Weinan E:
Memory3: Language Modeling with Explicit Memory. - Marc Michalke, Chukwuemeka Muonagor, Admela Jukan:
Deploying AI-Based Applications with Serverless Computing in 6G Networks: An Experimental Study. - Wenbo Xu, Liang Yan, Peiyi Han, Haifeng Zhu, Chuanyi Liu, Shaoming Duan, Cuiyun Gao, Yingwei Liang:
TCSR-SQL: Towards Table Content-aware Text-to-SQL with Self-retrieval. - Ivar Stefansson:
A Line Search Algorithm for Multiphysics Problems with Fracture Deformation. - Hongliang Zeng, Ping Zhang, Chengjiong Wu, Jiahua Wang, Tingyu Ye, Fang Li:
MARS: Multimodal Active Robotic Sensing for Articulated Characterization. - Josep Grau-Bové, Miriam Andrews:
General collections demography model with multiple risks. - Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay:
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. - Amitoz Azad, Yuan Fang:
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs. - Zongshuo Li, Markus Meurer, Thomas Bergs:
Deep Learning Based Tool Wear Estimation Considering Cutting Conditions. - Zongshuo Li, Markus Meurer, Thomas Bergs:
Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation. - Siqiu Yao, Haobin Ni, Andrew C. Myers, Ethan Cecchetti:
SCIF: A Language for Compositional Smart Contract Security. - Hanwen Wang, Ying Zhang, Yunlong Wang, Jian Li:
6-DoF Grasp Detection in Clutter with Enhanced Receptive Field and Graspable Balance Sampling. - Zongshuo Li, Ding Huo, Markus Meurer, Thomas Bergs:
Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model. - Yue Guo, Yi Yang:
EconNLI: Evaluating Large Language Models on Economics Reasoning. - Qingxing Dong, Mengyi Zhang, Shiyuan Wu, Xiaozhen Wu:
EMIF: Evidence-aware Multi-source Information Fusion Network for Explainable Fake News Detection. - Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong:
Revisiting Random Walks for Learning on Graphs. - Xibo Li, Shruti Patel, Christof Büskens:
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework. - Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang:
Searching for Best Practices in Retrieval-Augmented Generation. - Zihan Gao, Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Wenping Ma, Yuwei Guo, Shuyuan Yang:
Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation. - Brian Zhou, Kamal Viswanath, Jason Geder, Alisha Sharma, Julian Lee:
Deep Learning Models for Flapping Fin Unmanned Underwater Vehicle Control System Gait Optimization. - Wouter M. Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy J. Rogers:
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics. - Altan B. Kilic, Alberto Ravagnani, Emina Soljanin:
On the Parameters of Codes for Data Access. - Crispian Morris, Nantheera Anantrasirichai, Fan Zhang, David Bull:
DaBiT: Depth and Blur informed Transformer for Joint Refocusing and Super-Resolution. - Chenchen Ye, Ziniu Hu, Yihe Deng, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang:
MIRAI: Evaluating LLM Agents for Event Forecasting. - Zhiguang Yang, Hanzhou Wu:
A Fingerprint for Large Language Models. - Gabriele Civitarese, Michele Fiori, Priyankar Choudhary, Claudio Bettini:
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living. - Ao Liang, Wenyu Chen, Jian Fang, Huaici Zhao:
SGCCNet: Single-Stage 3D Object Detector With Saliency-Guided Data Augmentation and Confidence Correction Mechanism. - Ci Li, Elin Hernlund, Hedvig Kjellström, Silvia Zuffi:
CLHOP: Combined Audio-Video Learning for Horse 3D Pose and Shape Estimation. - Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu:
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. - Like Xin, Wanqi Yang, Lei Wang, Ming Yang:
Multi-level Reliable Guidance for Unpaired Multi-view Clustering. - Yang Pan, Clemens Hutter, Helmut Bölcskei:
Metric-Entropy Limits on Nonlinear Dynamical System Learning. - Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue:
QUEEN: Query Unlearning against Model Extraction. - Rico Schrage, Astrid Nieße:
From Coupling to Resilience: Quantifying the Impact of Interconnection in Energy Carrier Grids. - Abdul Waheed, Karima Kadaoui, Muhammad Abdul-Mageed:
uDistil-Whisper: Label-Free Data Filtering for Knowledge Distillation via Large-Scale Pseudo Labelling.