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ORCIDCoRR, March 2022
- Maxx Richard Rahman, Jacob Bejder
, Thomas Christian Bonne, Andreas Breenfeldt Andersen, Jesús Rodríguez Huertas, Reid Aikin, Nikolai Baastrup Nordsborg, Wolfgang Maaß:
AI-based approach for improving the detection of blood doping in sports. - Tianning Zhang, Yee Sin Ang, Erping Li, Chun Yun Kee, Lay Kee Ang:
SUTD-PRCM Dataset and Neural Architecture Search Approach for Complex Metasurface Design. - Minglang Yin, Enrui Zhang, Yue Yu, George Em Karniadakis:
Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems. - Hongyu Zhu, Stefan Klus, Tuhin Sahai:
A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs. - Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon:
Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems. - (Withdrawn) GCN-Transformer for short-term passenger flow prediction on holidays in urban rail transit systems.
- Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? - Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data. - Mengshuo Jia, Gabriela Hug, Yifan Su, Chen Shen:
Chance-constrained OPF: A Distributed Method with Confidentiality Preservation. - Mengshuo Jia, Qianni Cao, Chen Shen, Gabriela Hug:
Control-aware Probabilistic Load Flow for Transmission Systems: An Analytical Method. - Mattias P. Heinrich, Lasse Hansen:
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation. - Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Local and Global GANs with Semantic-Aware Upsampling for Image Generation. - Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Multi-modal Alignment using Representation Codebook. - Jørgen Andreas Agersborg, Luigi Tommaso Luppino, Stian Normann Anfinsen, Jane Uhd Jepsen:
Towards Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping. - Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, Richard A. Newcombe:
ERF: Explicit Radiance Field Reconstruction From Scratch. - Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon:
LISA: Learning Interpretable Skill Abstractions from Language. - George Chrysostomou, Nikolaos Aletras:
An Empirical Study on Explanations in Out-of-Domain Settings. - Robi Bhattacharjee, Alex Cloninger, Yoav Freund:
Structure from Voltage. - Niharika Thakuria, Sumeet Kumar Gupta:
Piezoelectric Strain FET (PeFET) based Non-Volatile Memories. - He Lyu, Rongrong Wang:
Perturbation of invariant subspaces for ill-conditioned eigensystem. - Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson, Alin Achim:
Optimal Transport-based Graph Matching for 3D retinal OCT image registration. - Liang Qiu, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Structure Extraction in Task-Oriented Dialogues with Slot Clustering. - Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. - Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz A. Minhas, David R. J. Snead, Nasir M. Rajpoot:
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification. - Guy Scher, Sadra Sadraddini, Russ Tedrake, Hadas Kress-Gazit:
Elliptical Slice Sampling for Probabilistic Verification of Stochastic Systems with Signal Temporal Logic Specifications. - Ali Raza, Lazar Lolic, Shahmir Akhter, Alfonso Dela Cruz, Michael Liut:
Deep Camera Pose Regression Using Pseudo-LiDAR. - Palash Dey, Debajyoti Kar, Swagato Sanyal:
Sampling-Based Winner Prediction in District-Based Elections. - Francesco Braghin, Luca Paparusso, Manuel Riani, Fabio Ruggeri:
Competitors-Aware Stochastic Lap Strategy Optimisation for Race Hybrid Vehicles. - Samuel H. Christie V., Amit K. Chopra, Munindar P. Singh:
Pippi: Practical Protocol Instantiation. - William D'Amico, Marcello Farina:
Virtual Reference Feedback Tuning for linear discrete-time systems with robust stability guarantees based on Set Membership. - Juhan Bae, Paul Vicol, Jeff Z. HaoChen, Roger B. Grosse:
Amortized Proximal Optimization. - Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. - Timothy C. Y. Chan, Simon Y. Huang, Vahid Sarhangian:
Dynamic Control of Service Systems with Returns: Application to Design of Post-Discharge Hospital Readmission Prevention Programs. - Xia Li, Longxiu Huang, Deanna Needell:
Distributed randomized Kaczmarz for the adversarial workers. - Hossein Keshavarz, Meiyappan Nagappan:
ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction. - Pratikkumar Prajapati, Chris Pollett:
MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment. - Arun Padakandla:
An Achievable Rate Region for 3-User Classical-Quantum Broadcast Channels. - Hugo Caselles-Dupré, Mohamed Chetouani, Olivier Sigaud:
Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions. - John Palowitch, Anton Tsitsulin, Brandon A. Mayer, Bryan Perozzi:
GraphWorld: Fake Graphs Bring Real Insights for GNNs. - Anthony Peruma, Christian D. Newman:
Understanding Digits in Identifier Names: An Exploratory Study. - Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari:
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. - Matthew Ciolino, Dominick Hambrick, David Noever:
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline. - George S. Oliveira, Juha Röning, Patricia Della Méa Plentz, Jônata Tyska Carvalho:
Efficient Task Allocation in Smart Warehouses with Multi-delivery Stations and Heterogeneous Robots. - Aowabin Rahman, Ján Drgona, Aaron Tuor, Jan Strube:
Neural Ordinary Differential Equations for Nonlinear System Identification. - Pasquale Lafiosca, Marta Ceccaroni:
Rectifying homographies for stereo vision: analytical solution for minimal distortion. - Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
On classification of strategic agents who can both game and improve. - Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha:
Learning Neural Hamiltonian Dynamics: A Methodological Overview. - Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo:
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. - Yunhe Gao, Mu Zhou, Di Liu, Dimitris N. Metaxas:
A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks. - Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
Setting Fair Incentives to Maximize Improvement. - Sina Baghali, Zhaomiao Guo, Samiul Hasan:
Investigating the Spatiotemporal Charging Demand and Travel Behavior of Electric Vehicles Using GPS Data: A Machine Learning Approach. - Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi:
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. - Adarsh Sehgal, Nicholas Ward, Hung Manh La, Christos Papachristos, Sushil J. Louis:
GA-DRL: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks. - Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson:
The Concordance Index decomposition: a measure for a deeper understanding of survival prediction models. - Olivier Danvy:
Getting There and Back Again. - Jennie Rogers, Elizabeth Adetoro, Johes Bater, Talia Canter, Dong Fu, Andrew Hamilton, Amro Hassan, Ashley Martinez, Erick Michalski, Vesna Mitrovic, Fred D. Rachman, Raj C. Shah, Matt Sterling, Kyra VanDoren, Theresa L. Walunas, Xiao Wang, Abel N. Kho:
VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network. - D. W. Crews:
Arbitrarily high order implicit ODE integration by correcting a neural network approximation with Newton's method. - Nidhi Rastogi, Sara Rampazzi, Michael Clifford, Miriam Heller, Matt Bishop, Karl N. Levitt:
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles. - Ilqar Ramazanli:
Performance of Distribution Regression with Doubling Measure under the seek of Closest Point. - Andrew Choi, Mohammad Khalid Jawed, Jungseock Joo:
Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers. - Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. - Minhoo Kang, Ranggi Hwang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, Minsoo Rhu:
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks. - Qianglong Chen:
Semantic Sentence Composition Reasoning for Multi-Hop Question Answering. - (Withdrawn) Do Transformers use variable binding?
- Julio Juárez-Xochitemol, Edgar Chávez:
Quantum jumbled pattern matching. - Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka:
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. - Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang:
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. - Zheng Yuan, Tianhao Wu, Qinwen Wang, Yiying Yang, Lei Li, Lin Zhang:
T3OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area. - Yiming Wang, Dongxia Chang, Zhiqiang Fu, Jie Wen, Yao Zhao:
ACTIVE: Augmentation-Free Graph Contrastive Learning for Partial Multi-View Clustering. - Angus Fung, Beno Benhabib, Goldie Nejat:
Robots Autonomously Detecting People: A Multimodal Deep Contrastive Learning Method Robust to Intraclass Variations. - Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo:
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. - Shogo Tokui, Susumu Tokumoto, Akihito Yoshii, Fuyuki Ishikawa, Takao Nakagawa, Kazuki Munakata, Shinji Kikuchi:
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History. - Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen:
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection. - (Withdrawn) EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing.
- Vitaly Feldman, Jelani Nelson, Huy Le Nguyen, Kunal Talwar:
Private Frequency Estimation via Projective Geometry. - (Withdrawn) Online Gradient Descent for Flexible Power Point Tracking Under a Highly Fluctuating Weather and Load.
- Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li:
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. - Yidan Zhang, Yu Wan, Dayiheng Liu, Baosong Yang, Zhenan He:
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation. - Meng Guo, Mathias Bürger:
Interactive Human-in-the-loop Coordination of Manipulation Skills Learned from Demonstration. - Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. - Shalanika Dayarathna, Rajitha Senanayake, Jamie S. Evans:
Optimal Routing for Multi-user Multi-hop Relay Networks via Dynamic Programming. - Yancheng Pan, Fan Xie, Huijing Zhao:
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data. - Bo-Yuan Huang, Steven Lyubomirsky, Yi Li, Mike He, Thierry Tambe, Gus Henry Smith, Akash Gaonkar, Vishal Canumalla, Gu-Yeon Wei, Aarti Gupta, Zachary Tatlock, Sharad Malik:
Specialized Accelerators and Compiler Flows: Replacing Accelerator APIs with a Formal Software/Hardware Interface. - Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers. - Lei Liu, Yiyao Cheng, Shansuo Liang, Jonathan H. Manton, Li Ping:
On Orthogonal Approximate Message Passing. - Xuankai Chang, Niko Moritz, Takaaki Hori, Shinji Watanabe, Jonathan Le Roux:
Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR. - Jon M. Kleinberg, Emily Ryu, Éva Tardos:
Ordered Submodularity and its Applications to Diversifying Recommendations. - Li You, Xiaoyu Qiang, Christos G. Tsinos, Fan Liu, Wenjin Wang, Xiqi Gao, Björn E. Ottersten:
Beam Squint-Aware Integrated Sensing and Communications for Hybrid Massive MIMO LEO Satellite Systems. - Michelle Bak, Jessie Chin, Chungyi Chiu:
Mental Health Pandemic during the COVID-19 Outbreak: Calls for Help on Social Media. - Luke Whitbread, Mark Jenkinson:
How certain are your uncertainties? - Jamison R. Ebert, Vamsi K. Amalladinne, Stefano Rini, Jean-François Chamberland, Krishna R. Narayanan:
Coded Demixing for Unsourced Random Access. - Akanksha Saxena, J. P. Jaiswal, K. R. Pardasani:
Convergence Criteria of a Three Step Scheme under generalized Lipschitz Condition in Banach Spaces. - Huaicheng Li, Daniel S. Berger, Stanko Novakovic, Lisa Hsu, Daniel Ernst, Pantea Zardoshti, Monish Shah, Ishwar Agarwal, Mark D. Hill, Marcus Fontoura, Ricardo Bianchini:
First-generation Memory Disaggregation for Cloud Platforms. - Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang:
Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment. - Hong Jun Jeon, Benjamin Van Roy:
Sample Complexity versus Depth: An Information Theoretic Analysis. - Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li, Shuming Shi:
Exploring and Adapting Chinese GPT to Pinyin Input Method. - Yiwen Chen, Zedong Zhang, Haofeng Liu, Jiayi Tan, Marcelo H. Ang:
FIRL: Fast Imitation and Policy Reuse Learning. - Chao Shang, Guangtao Wang, Peng Qi, Jing Huang:
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. - Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao:
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. - Fu Lee Wang, Yidan Feng, Haoran Xie, Gary Cheng, Mingqiang Wei:
When A Conventional Filter Meets Deep Learning: Basis Composition Learning on Image Filters. - Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan:
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection. - Sivakanth Gopi, Yin Tat Lee, Daogao Liu:
Private Convex Optimization via Exponential Mechanism. - Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu:
A Pattern Collection for Blockchain Governance. - Jiaxin Cao, Bo Yang, Shanying Zhu, Kai Ma, Xinping Guan:
Bidirectional Pricing and Demand Response for Nanogrids with HVAC Systems. - Hamdy Mubarak, Shammur Absar Chowdhury, Firoj Alam:
ArabGend: Gender Analysis and Inference on Arabic Twitter. - Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul:
TableFormer: Robust Transformer Modeling for Table-Text Encoding. - Zeinab Sasan, Siavash Khorsandi:
Slice-Aware Resource Calendaring in Cloud-based Radio Access Networks. - Pingzhi Yuan:
Compositional Inverses of AGW-PPs. - Xiang Hu, Haitao Mi, Liang Li, Gerard de Melo:
Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation. - Xiaotong Chen, Huijie Zhang, Zeren Yu, Stanley R. Lewis, Odest Chadwicke Jenkins:
ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception. - Joan Boyar, Lene M. Favrholdt, Kim S. Larsen:
Online Unit Profit Knapsack with Untrusted Predictions. - Yong Dai, Linyang Li, Cong Zhou, Zhangyin Feng, Enbo Zhao, Xipeng Qiu, Piji Li, Duyu Tang:
"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction. - Ling Gao, Junyan Su, Jiadi Cui, Xiangchen Zeng, Xin Peng, Laurent Kneip:
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles. - Ling Gao, Laurent Kneip:
FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization. - Can Zhou, Razin A. Shaikh, Yiran Li, Amin Farjudian:
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks. - Dorian Hillebrand, Simon-Christian Klein, Philipp Öffner:
Comparison to control oscillations in high-order Finite Volume schemes via physical constraint limiters, neural networks and polynomial annihilation. - Sandro Rodriguez Garzon, Hakan Yildiz, Axel Küpper:
Towards Decentralized Identity Management in Multi-stakeholder 6G Networks. - Jinlai Zhang, Weiming Li, Shuang Liang, Hao Wang, Jihong Zhu:
Adversarial samples for deep monocular 6D object pose estimation. - Lourenço Beirão da Veiga, Lorenzo Mascotto, Jian Meng:
Interpolation and stability estimates for edge and face virtual elements of general order.