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ORCIDCoRR, February 2023
- Anirudh Rayas, Rajasekhar Anguluri, Jiajun Cheng, Gautam Dasarathy:
Differential Analysis for Networks Obeying Conservation Laws. - Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang:
The Power of External Memory in Increasing Predictive Model Capacity. - Pierre Larrenie, Jean-François Bercher
, Olivier Venard, Iyad Lahsen Cherif:
Low Complexity Approaches for End-to-End Latency Prediction. - Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez:
On the Within-Group Discrimination of Screening Classifiers. - Mehedi Hasan Raju, Lee Friedman, Troy M. Bouman, Oleg V. Komogortsev:
Determining Which Sine Wave Frequencies Correspond to Signal and Which Correspond to Noise in Eye-Tracking Time-Series. - Deniz Oktay, Mehran Mirramezani, Eder Medina, Ryan P. Adams:
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity. - Isaque Alves, Jorge Pérez, Jessica Díaz, Daniel López-Fernández, Manuel Pais, Fabio Kon, Carla Rocha:
Harmonizing DevOps Taxonomies - Theory Operationalization and Testing. - Julien Grand-Clément, Marek Petrik:
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor. - Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees. - Riya Dutta, Diego Elias Costa, Emad Shihab, Tanja Tajmel:
Diversity Awareness in Software Engineering Participant Research. - Nathan Gaby, Xiaojing Ye, Haomin Zhou:
Neural Control of Parametric Solutions for High-dimensional Evolution PDEs. - Kshitij Goel, Nathan Michael, Wennie Tabib:
Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models. - Simon Geisler, Yujia Li, Daniel J. Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru:
Transformers Meet Directed Graphs. - Subhash Bhagat, Andrzej Pelc:
Exploring Wedges of an Oriented Grid by an Automaton with Pebbles. - Alessandro Guidotti, Alessandro Vanelli-Coralli, Carla Amatetti:
Federated Cell-Free MIMO in Non-Terrestrial Networks: Architectures and Performance. - Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard:
Graph-based Time-Series Anomaly Detection: A Survey. - Alexandre Heuillet, Hedi Tabia, Hichem Arioui:
NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks. - Rui Oliveira, Siddharth H. Nair, Bo Wahlberg:
Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control. - Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen:
Dynamic Flows on Curved Space Generated by Labeled Data. - Rhys Howard, Lars Kunze:
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour. - Mahsa Doosthosseini, Mahdi Khajeh Talkhoncheh, Jeffrey L. Silberberg, Sandy Weininger, Hamed Ghods:
Hybrid Cathode Lithium Battery Discharge Simulation for Implantable Cardioverter Defibrillators Using a Coupled Electro-Thermal Dynamic Model. - Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka:
Debiasing Vision-Language Models via Biased Prompts. - João Henrique Inacio de Souza, Victor Croisfelt, Fabio Saggese, Taufik Abrão, Petar Popovski:
Randomized Control of Wireless Temporal Coherence via Reconfigurable Intelligent Surface. - Cuong Tran, Ferdinando Fioretto:
Personalized Privacy Auditing and Optimization at Test Time. - Noyan Evirgen, Xiang 'Anthony' Chen:
GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks. - Yuanhao Li, Badong Chen, Okito Yamashita, Natsue Yoshimura, Yasuharu Koike:
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination. - Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham:
In-Context Retrieval-Augmented Language Models. - Lucas Valença, Ian Maquignaz, Hadi Moazen, Rishikesh Madan, Yannick Hold-Geoffroy, Jean-François Lalonde:
LM-GAN: A Photorealistic All-Weather Parametric Sky Model. - Hussein Hazimeh, Natalia Ponomareva:
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. - Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou:
Large Language Models Can Be Easily Distracted by Irrelevant Context. - Son Quoc Tran, Phong Nguyen-Thuan Do, Uyen Le, Matt Kretchmar:
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models. - Sarabjeet Singh, Xiong Fan, Ananth Krishna Prasad, Lin Jia, Anirban Nag, Rajeev Balasubramonian, Mahdi Nazm Bojnordi, Elaine Shi:
XCRYPT: Accelerating Lattice Based Cryptography with Memristor Crossbar Arrays. - Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer:
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care. - Simiao Ren, Yang Deng, Willie J. Padilla, Leslie M. Collins, Jordan M. Malof:
Deep Active Learning for Scientific Computing in the Wild. - Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla:
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation. - Martin Veresko, Ming-Cheng Cheng:
Physics-informed Reduced-Order Learning from the First Principles for Simulation of Quantum Nanostructures. - Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Detecting Harmful Agendas in News Articles. - Changlong Wu, Ananth Grama, Wojciech Szpankowski:
Online Learning in Dynamically Changing Environments. - Yuxi Zhao, Xiaowen Gong, Shiwen Mao:
Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling. - Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. - Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel:
Learning Universal Policies via Text-Guided Video Generation. - Anna Mpanti, Stavros D. Nikolopoulos, Leonidas Palios:
Adding an Edge in a P4-sparse Graph. - Prince E. Kuevor, Maani Ghaffari, Ella M. Atkins, James W. Cutler:
Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression. - Dawson Fox, Jose Monsalve Diaz, Xiaoming Li:
On Memory Codelets: Prefetching, Recoding, Moving and Streaming Data. - Camille Phiquepal, Marc Toussaint:
Control-Tree Optimization: an approach to MPC under discrete Partial Observability. - Mahdieh Yazdani, Maziar Raissi:
Real Estate Property Valuation using Self-Supervised Vision Transformers. - Bryan Zhang, Amita Misra:
Machine Translation Impact in E-commerce Multilingual Search. - Xi Wu, Joe Benassi, Yaqi Zhang, Uyeong Jang, James Foster, Stella Kim, Yujing Sun, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton:
Holistic Cube Analysis: A Query Framework for Data Insights. - Peipei Lu, Wei Wang, Guido Kanschat, Andreas Rupp:
Homogeneous multigrid method for HDG applied to the Stokes equation. - Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments. - Lei Li, Tianfang Zhang, Zhongfeng Kang, Wenhan Zhang:
Design and Implementation of A Soccer Ball Detection System with Multiple Cameras. - Usman Anjum, Vladimir Zadorozhny, Prashant Krishnamurthy:
TBAM: Towards An Agent-Based Model to Enrich Twitter Data. - Fermín Moscoso del Prado Martín:
Universal Topological Regularities of Syntactic Structures: Decoupling Efficiency from Optimization. - Bin Fu, Yumei Huo, Hairong Zhao:
Sublinear Approximation Schemes for Scheduling Precedence Graphs of Bounded Depth. - Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer:
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. - Prasad Jayanti, Siddhartha Jayanti, Sucharita Jayanti:
Durable Algorithms for Writable LL/SC and CAS with Dynamic Joining. - Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov:
Learning Topology-Preserving Data Representations. - Omead Pooladzandi, Pasha Khosravi, Erik Nijkamp, Baharan Mirzasoleiman:
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization. - Jesús Bonilla, Juan Vicente Gutiérrez-Santacreu:
Exploring numerical blow-up phenomena for the Keller-Segel-Navier-Stokes equations. - Joshua P. Zitovsky, Daniel de Marchi, Rishabh Agarwal, Michael R. Kosorok:
Revisiting Bellman Errors for Offline Model Selection. - Yuesheng Xu:
Multi-Grade Deep Learning. - Subash Neupane, Ivan A. Fernandez, Wilson Patterson, Sudip Mittal, Milan Parmar, Shahram Rahimi:
TwinExplainer: Explaining Predictions of an Automotive Digital Twin. - Abel C. H. Chen:
How to Prove the Optimized Values of Hyperparameters for Particle Swarm Optimization? - (Withdrawn) Fairness-aware Cross-Domain Recommendation.
- Hrushikesh Narhar Mhaskar, Ryan O'Dowd:
Local transfer learning from one data space to another. - Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin:
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Amin Farajzadeh, Animesh Yadav, Omid Abbasi, Wael Jaafar, Halim Yanikomeroglu:
FLSTRA: Federated Learning in Stratosphere. - Gerardo Antonio Alvarez Hernández, Juan Carlos Olguin, Juan Irving Vasquez-Gomez, Abril Valeria Uriarte-Arcia, Maria Claudia Villicaña Torres:
Detection of Tomato Ripening Stages using Yolov3-tiny. - Alexander Núñez, Joseph Ayoka, Md Zahidul Islam, Pablo Ruiz:
A Brief Overview of Software-Defined Networking. - Foad Najafi, Matthias Fripp:
Market-Based Coordination of Price-Responsive Demand Using Dantzig-Wolfe Decomposition Method. - Ella Kokinda, Paige Rodeghero:
Streaming Software Development: Accountability, Community, and Learning. - Yusuke Hatanaka, Yannik Glaser, Geoff Galgon, Giuseppe Torri, Peter Sadowski:
Diffusion Models for High-Resolution Solar Forecasts. - Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac:
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach. - Ella Kokinda, Makayla Moster, Paige Rodeghero:
Under the Bridge: Trolling and the Challenges of Recruiting Software Developers for Empirical Research Studies. - Anthony Manchin, Jamie Sherrah, Qi Wu, Anton van den Hengel:
Program Generation from Diverse Video Demonstrations. - Guanqi Ding, Xinzhe Han, Shuhui Wang, Xin Jin, Dandan Tu, Qingming Huang:
Stable Attribute Group Editing for Reliable Few-shot Image Generation. - Hugh Daigle, Joshua D. Rhodes, Michael E. Webber, Aidan Pyrcz:
Optimal timing for power plant maintenance in the Electricity Reliability Council of Texas in a changing climate. - Meng Zhao, Yonggang Ma, Qian Zhang, Jizong Zhao:
Deep Learning Approach to Predict Hemorrhage in Moyamoya Disease. - John E. Miller, Johann-Mattis List:
Detecting Lexical Borrowings from Dominant Languages in Multilingual Wordlists. - Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu:
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation. - Alexander Lew, Sydney Thompson, Nathan Tsoi, Marynel Vázquez:
Shutter, the Robot Photographer: Leveraging Behavior Trees for Public, In-the-Wild Human-Robot Interactions. - Xiao Shi, Yun Shang:
Density peak clustering using tensor network. - Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
A2Q: Aggregation-Aware Quantization for Graph Neural Networks. - Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. - Lei Guan:
Weight Prediction Boosts the Convergence of AdamW. - Rafael M. Frongillo, Maneesha Papireddygari, Bo Waggoner:
An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets. - Farshid Keivanian, Raymond Chiong, Ali R. Kashani, Amir H. Gandomi:
A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, lightweight, and earthquake-resistant reinforced concrete cantilever retaining walls. - J. Nathaniel Holmes, Homayoon S. M. Beigi:
A Transaction Represented with Weighted Finite-State Transducers. - Wenhao Sun, Zhiwei Zou, Deng Liu, Wendi Sun, Song Chen, Yi Kang:
Bit-balance: Model-Hardware Co-design for Accelerating NNs by Exploiting Bit-level Sparsity. - Yong Xiao, Rong Xia, Yingyu Li, Guangming Shi, Diep N. Nguyen, Dinh Thai Hoang, Dusit Niyato, Marwan Krunz:
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach. - Bo-Han Kung, Shang-Tse Chen:
QCRS: Improve Randomized Smoothing using Quasi-Concave Optimization. - Haoran Zhu, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Lei Han, Zhi Chen:
Is Stubborn Mining Severe in Imperfect GHOST Bitcoin-like Blockchains? Quantitative Analysis. - Renan Guarese, Emma Pretty, Haytham M. Fayek, Fabio Zambetta, Ron G. van Schyndel:
Evoking empathy with visually impaired people through an augmented reality embodiment experience. - Eden Chlamtác, Yury Makarychev, Ali Vakilian:
Approximating Red-Blue Set Cover. - Bingqi Shen, Yuyin Chen, Fuzhang Han, Shuwei Dai, Rong Xiong, Yue Wang:
EMV-LIO: An Efficient Multiple Vision aided LiDAR-Inertial Odometry. - Gopika P. B., Nishant Ranwan, Nagaiah Chamakuri:
Residual-Based a Posteriori Error Estimator for a Multi-scale Cancer Invasion Model. - Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla:
Knowledge Distillation on Graphs: A Survey. - Yassine Barhoumi, Nidhal C. Bouaynaya, Ghulam Rasool:
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. - Xi Wang, Ramya Penta, Bhavya Sehgal, Dale Chen-Song:
Human Fall Detection- Multimodality Approach. - Elif Keles, Ulas Bagci:
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence. - Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin:
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks. - Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu:
Generative Adversarial Symmetry Discovery. - Amartya Mukherjee, Jun Liu:
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO). - Chen Chen, Dylan Walker, Venkatesh Saligrama:
Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction. - Mikhail A. Bragin, Zuzhao Ye, Nanpeng Yu:
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging. - Aviv Adler, Oren Gal, Sertac Karaman:
Agility and Target Distribution in the Dynamic Stochastic Traveling Salesman Problem. - Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. - Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Xianyan Jia, Yong Li, Chencan Wu, Jialin Li, Wei Lin:
TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation. - Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang:
A Nearly-Optimal Bound for Fast Regression with 𝓁∞ Guarantee. - Minghan Fu, Fang-Xiang Wu:
QLAB: Quadratic Loss Approximation-Based Optimal Learning Rate for Deep Learning. - Oliver Biggar, Iman Shames:
The Attractor of the Replicator Dynamic in Zero-Sum Games. - Mo Zhou, Rong Ge:
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression. - Hanyu Zhang, Samson J. Koelle, Marina Meila:
Dictionary-based Manifold Learning. - Halvard Hummel:
On Lower Bounds for Maximin Share Guarantees. - Kaifeng Gao, Long Chen, Hanwang Zhang, Jun Xiao, Qianru Sun:
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection. - Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Internally Rewarded Reinforcement Learning. - Gaolei Li, Yuanyuan Zhao, Yi Li:
CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications. - Weihuang Wen, Tianshu Yu:
W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs. - Lukas Haas, Silas Alberti, Michal Skreta:
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization. - David M. Cerna, Temur Kutsia:
Anti-unification and Generalization: A Survey. - Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li,