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ORCIDCoRR, January 2022
- Danielle C. Maddix, Nadim Saad, Yuyang Wang:
Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow. - Sathyanarayanan Chandramouli, Aseel Farhat, Ziad Musslimani:
Time-Dependent Duhamel Renormalization method with Multiple Conservation and Dissipation Laws. - Mohamed M. S. Nasser, El Mostafa Kalmoun, Vladimir Mityushev, Natalia Rylko:
Simulating local fields in carbon nanotube reinforced composites for infinite strip with voids. - Ola Alkhatib, Ayman Diyab Alahmar:
A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches. - Liang Zhang, Qiang Wu, Jianming Deng:
Knowledge intensive state design for traffic signal control. - Hailin Zhang, Defang Chen
, Can Wang:
Confidence-Aware Multi-Teacher Knowledge Distillation. - Guanyao Li, Shuhan Zhong, Letian Xiang, S.-H. Gary Chan, Ruiyuan Li, Chih-Chieh Hung, Wen-Chih Peng:
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting. - Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan:
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI. - Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao:
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification. - Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert:
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. - Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. - Yuhang Jia, Ying Cui, Wuyang Jiang:
Device Activity Detection for Massive Grant-Free Access Under Frequency-Selective Rayleigh Fading. - Hongcheng Guo, Xingyu Lin, Jian Yang, Yi Zhuang, Jiaqi Bai, Tieqiao Zheng, Bo Zhang, Zhoujun Li:
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection. - Tobias Hofmann, Andy Oertel:
Fast ultrametric matrix-vector multiplication. - Paul Syverson:
Privacy-Protecting COVID-19 Exposure Notification Based on Cluster Events. - Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Stochastic convex optimization for provably efficient apprenticeship learning. - Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad:
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. - Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Model Compression of Vision Transformer. - Chenghao Yang, Hongyuan Mei, Jason Eisner:
Transformer Embeddings of Irregularly Spaced Events and Their Participants. - Toby Godwin, Georgios Rizos, Alice Baird, Najla D. Al Futaisi, Vincent Brisse, Björn W. Schuller:
Evaluating Deep Music Generation Methods Using Data Augmentation. - Yangjun Ruan, Yann Dubois, Chris J. Maddison:
Optimal Representations for Covariate Shift. - Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev:
Representation Topology Divergence: A Method for Comparing Neural Network Representations. - Xinke Deng, Junyi Geng, Timothy Bretl, Yu Xiang, Dieter Fox:
iCaps: Iterative Category-level Object Pose and Shape Estimation. - Bogdan Alexandru Stoica, Swarup Kumar Sahoo, James R. Larus, Vikram S. Adve:
Statistical Program Slicing: a Hybrid Slicing Technique for Analyzing Deployed Software. - Samaa Gazzaz, Vishal Chakraborty, Faisal Nawab:
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems. - Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Stealth Data Injection Attacks with Sparsity Constraints. - Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré:
BARACK: Partially Supervised Group Robustness With Guarantees. - Ronald E. Robertson, Jon Green, Damian Ruck, Katya Ognyanova, Christo Wilson, David Lazer:
Engagement Outweighs Exposure to Partisan and Unreliable News within Google Search. - Vivek Subramanian, Dhanasekar Sundararaman:
How do lexical semantics affect translation? An empirical study. - Xiaotong Chen, Seyed Mehdi Iranmanesh, Kuo-Chin Lien:
PatchTrack: Multiple Object Tracking Using Frame Patches. - Zahra Ghadiri, Milad Ranjbar, Fakhteh Ghanbarnejad, Sadegh Raeisi:
Automated Fake News Detection using cross-checking with reliable sources. - Alex Sheng, Derek He:
Distributed Evolution Strategies Using TPUs for Meta-Learning. - Maksim Aizenshtein, Niklas Smal, Morgan McGuire:
Wavelet Transparency. - Siddharth Chandrasekaran, Jeffrey Matthew Reginald, Wei Wang, Ting Zhu:
Computer Vision Based Parking Optimization System. - Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Mohamed Sayeh:
SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images. - Yexin Duan, Junhua Zou, Xingyu Zhou, Wu Zhang, Jin Zhang, Zhisong Pan:
Adversarial Attack via Dual-Stage Network Erosion. - Muhammad Aitsam:
Differential Privacy Made Easy. - Di Wu, Tongxin Zhang, Yuan Zhong, Fanghua Jiang, Junfeng Li:
Analytical Shaping Method for Low-Thrust Rendezvous Trajectory Using Cubic Spline Functions. - Peiliang Huang, Junwei Han, De Cheng, Dingwen Zhang:
Robust Region Feature Synthesizer for Zero-Shot Object Detection. - Pengfei Wang, Changxing Ding, Zhiyin Shao, Zhibin Hong, Shengli Zhang, Dacheng Tao:
Quality-aware Part Models for Occluded Person Re-identification. - Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga:
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. - Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee:
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. - Thanh-Dat Nguyen, Thanh Le-Cong, ThanhVu H. Nguyen, Xuan-Bach Dinh Le, Quyet-Thang Huynh:
Toward the Analysis of Graph Neural Networks. - Thanh Le-Cong, Xuan-Bach Dinh Le, Quyet-Thang Huynh, Phi-Le Nguyen:
Usability and Aesthetics: Better Together for Automated Repair of Web Pages. - Duy-Hoa Ngo, Madonna Kemp, Donna Truran, Bevan Koopman, Alejandro Metke-Jimenez:
Semantic Search for Large Scale Clinical Ontologies. - Xiaoyu Zhao, Jun Li, Qinghua Guo:
A Relaxed Energy Function Based Analog Neural Network Approach to Target Localization in Distributed MIMO Radar. - Nahian Ibn Hasan:
Bird Species Classification And Acoustic Features Selection Based on Distributed Neural Network with Two Stage Windowing of Short-Term Features. - Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Bin Liang, Xueqian Wang, Bo Yuan:
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning. - Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen, Duc Anh Le, Thanh-Hung Nguyen, Phi Le Nguyen:
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss. - Zi-Yi Dou, Nanyun Peng:
Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization. - Dongkun Han, Hejun Huang:
Sum-of-Squares Program and Safe Learning On Maximizing the Region of Attraction of Partially Unknown Systems. - Jiho Song, Seong-Hwan Hyun, Jong-Ho Lee, Jeongsik Choi, Seong-Cheol Kim:
Joint Vehicle Tracking and RSU Selection for V2I Communications with Extended Kalman Filter. - Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. - Luca Schumann, Trinh Viet Doan, Tanya Shreedhar, Ricky K. P. Mok, Vaibhav Bajpai:
Impact of Evolving Protocols and COVID-19 on Internet Traffic Shares. - Jun Lu:
Matrix Decomposition and Applications. - Xingjian Xu, Minghua Chen:
Discovery of subdiffusion problem with noisy data via deep learning. - Yuyang Chen, Kaiming Bi, Chih-Hang Wu, David Ben-Arieh, Ashesh Sinha:
High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series. - Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou:
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness. - Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Few-Shot Meta Learning. - Georgios Symeonidis, Evangelos Nerantzis, Apostolos Kazakis, George A. Papakostas:
MLOps - Definitions, Tools and Challenges. - Haoxu Wang, Yan Jia, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li:
Generating Adversarial Samples For Training Wake-up Word Detection Systems Against Confusing Words. - Jian-wei Liu, Xi-hao Ding, Runkun Lu, Xionglin Luo:
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity. - Jian-wei Liu, Hao-jie Xie, Runkun Lu, Xionglin Luo:
Multi-view Subspace Adaptive Learning via Autoencoder and Attention. - Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan:
Adaptive Image Inpainting. - S. Sinha, K. G. Bakshi:
Zero-Sum Two Person Perfect Information Semi-Markov Games: A Reduction. - Mohammadhossein Ghahramani, Mengchu Zhou, Anna Mölter, Francesco Pilla:
IoT-based Route Recommendation for an Intelligent Waste Management System. - Sanjiva Prasad, R. Madhukar Yerraguntla, Subodh Sharma:
Secure Information Flow Typing in LUSTRE. - Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo:
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. - Shanjun Zhang, Mingzhen Li, Hailong Yang, Yi Liu, Zhongzhi Luan, Depei Qian:
FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity. - Radostin Cholakov, Todor Kolev:
The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling. - Goldwyn Millar, Michel Kulhandjian, Ayse Alaca, Saban Alaca, Claude D'Amours, Halim Yanikomeroglu:
Low-Density Spreading Design Based on an Algebraic Scheme for NOMA Systems. - Farshad Noravesh, Kristiaan Kerstens:
Some connections between higher moments portfolio optimization methods. - Yecheng Shao, Yongbin Jin, Xianwei Liu, Weiyan He, Hongtao Wang, Wei Yang:
Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller. - Yunpu Zhao:
AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection. - Dani Kiyasseh, Rasheed El-Bouri:
Turath-150K: Image Database of Arab Heritage. - Ilaria Castellani, Mariangiola Dezani-Ciancaglini, Paola Giannini:
Event structure semantics for multiparty sessions. - Shunhua Jiang, Binghui Peng, Omri Weinstein:
Dynamic Least-Squares Regression. - Montassar Naghmouchi, Hella Kaffel, Maryline Laurent:
An automatized Identity and Access Management system for IoT combining Self-Sovereign Identity and smart contracts. - Enyan Dai, Wei Jin, Hui Liu, Suhang Wang:
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. - Davide Castelnovo, Fabio Gadducci, Marino Miculan:
A new criterion for M, N-adhesivity, with an application to hierarchical graphs. - Eason Li, Franc Brglez:
Asymptotic Experiments with Data Structures: Bipartite Graph Matchings and Covers. - Zhenduo Wang, Qingyao Ai:
Simulating and Modeling the Risk of Conversational Search. - Ziyang Tang, Yihao Feng, Qiang Liu:
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning. - Thuy T. Do, Du Nguyen, Anh Le, Anh Nguyen, Dong Nguyen, Nga Hoang, Uyen Le, Tuan Tran:
Understanding Public Opinion on Using Hydroxychloroquine for COVID-19 Treatment via Social Media. - Dominik Bauer, Timothy Patten, Markus Vincze:
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement. - François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu:
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. - Martin Törngren, Haydn Thompson, Erik Herzog, Rafia Inam, James Gross, György Dán:
Industrial Edge-based Cyber-Physical Systems - Application Needs and Concerns for Realization. - Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang:
Transfer RL across Observation Feature Spaces via Model-Based Regularization. - Gregor Dumphart, Johannes Sager, Armin Wittneben:
The Channel Capacity of General Complex-Valued Load Modulation for Backscatter Communication. - Nicholas LaBerge, Kenneth Hunter Wapman, Allison C. Morgan, Sam Zhang, Daniel B. Larremore, Aaron Clauset:
Subfield prestige and gender inequality in computing. - Nicholas Dyson, Benedikt Ahrens, Jacopo Emmenegger:
The solutions to single-variable polynomials, implemented and verified in Lean. - Yipeng Li, Xiangmin Jiao:
ARPIST: Provably Accurate and Stable Numerical Integration over Spherical Triangles. - Oana Marin, Christopher J. Geoga, Michel Schanen:
On automatic differentiation for the Matérn covariance. - Sharp Chim Yui Lo:
Estimating Discretization Error with Preset Orders of Accuracy and Fractional Refinement Ratios. - Rayson Laroca, Everton V. Cardoso, Diego Rafael Lucio, Valter Estevam, David Menotti:
On the Cross-dataset Generalization in License Plate Recognition. - Anders Aaen Springborg, Martin Kaldahl Andersen, Kaare Holland Hattel, Michele Albano:
Towards a secure API client generator for IoT devices. - Raul Astudillo, Peter I. Frazier:
Thinking inside the box: A tutorial on grey-box Bayesian optimization. - Balsam Alkouz, Babar Shahzaad, Athman Bouguettaya:
Service-Based Drone Delivery. - Kazufumi Ito, Ying Liang, Jun Zou:
Least-Squares Method for Inverse Medium Problems. - Okezue Bell:
Applications of Gaussian Mutation for Self Adaptation in Evolutionary Genetic Algorithms. - Arun Raman, Keerthan Shagrithaya, Shalabh Bhatnagar:
Reinforcement Learning for Task Specifications with Action-Constraints. - Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu:
Community Search: Learn from Small Data. - Luis Alarcón, Job Ledezma:
Develop of a Pneumatic Force Sensor Prototype. - Huan Gao, Yongqiang Wang:
Algorithm-Level Confidentiality for Average Consensus on Time-Varying Directed Graphs. - Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn:
Improving Out-of-Distribution Robustness via Selective Augmentation. - Prasang Gupta, Antoinette Young, Anand S. Rao:
Investigating Cargo Loss in Logistics Systems using Low-Cost Impact Sensors. - Mina Khan, Zeel Patel, Kathryn Wantlin, Elena L. Glassman, Pattie Maes:
Changing Computer-Usage Behaviours: What Users Want, Use, and Experience. - Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou:
Informed Multi-context Entity Alignment. - Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar:
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. - Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang:
Optimizing Machine Learning Inference Queries with Correlative Proxy Models. - Mikhail Moshkov:
Rough analysis of computation trees. - Michelle Kleckler, Adel M. Elmahdy, Soheil Mohajer:
Secure Determinant Codes for Distributed Storage Systems. - Aamir Miyajiwala, Arnav Ladkat, Samiksha Jagadale, Raviraj Joshi:
On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations. - Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap:
V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network. - Kilian Wenker:
A Systematic Literature Review on Persuasive Technology at the Workplace. - Shaolun Ruan, Yong Wang, Qiang Guan:
Visilence: An Interactive Visualization Tool for Error Resilience Analysis. - Andrea Ebner, Markus Haltmeier:
Compressed Sensing of Indirect Data. - Han Cai, Moshe Schwartz:
A Bound on the Minimal Field Size of LRCs, and Cyclic MR Codes That Attain It. - Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di:
Detail-Preserving Transformer for Light Field Image Super-Resolution. - Hao Sun:
Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference. - Samuel Ackerman, Eitan Farchi, Orna Raz, Onn Shehory:
Experiment Based Crafting and Analyzing of Machine Learning Solutions. - João Pedro Rodrigues Mattos, Ricardo M. Marcacini:
Semi-Supervised Graph Attention Networks for Event Representation Learning. - Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Establishing Strong Baselines for TripClick Health Retrieval. - Yongchao Wang, Jing Bai:
Decoding Nonbinary LDPC Codes via Proximal-ADMM Approach (include convergence proofs). - Piotr Sowinski, Katarzyna Wasielewska-Michniewska, Maria Ganzha, Marcin Paprzycki:
Topical Classification of Food Safety Publications with a Knowledge Base. - João Morais, Kaushal Rathi, Bhuvaneshwar Mohan, Shantanu Rajesh:
Parkour Spot ID: Feature Matching in Satellite and Street view images using Deep Learning. - Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen:
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. - Yonghao Long, Jianfeng Cao, Anton Deguet, Russell H. Taylor, Qi Dou:
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario. - Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann:
Randomized Signature Layers for Signal Extraction in Time Series Data. - Yifan Jiang, Bart Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue:
Fast and High-Quality Image Denoising via Malleable Convolutions. - Christophe Bédard, Ingo Lütkebohle, Michel R. Dagenais:
ros2_tracing: Multipurpose Low-Overhead Framework for Real-Time Tracing of ROS 2. - Alireza Tofigh Rihani, Majid Ghandchi:
Increasing the Efficiency of Photovoltaic Systems by Using Maximum Power Point Tracking (MPPT). - Seth Pettie, Thatchaphol Saranurak, Longhui Yin:
Optimal Vertex Connectivity Oracles. - Sarah M. Pratt, Luca Weihs, Ali Farhadi:
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents. - Vladimir N. Temlyakov:
On universal sampling representation. - Abhishek Gupta, Sannidhi Shetty, Raunak Joshi, Ronald Melwin Laban:
Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis. - Barak Davidovich, Ben Nassi, Yuval Elovici:
VISAS - Detecting GPS spoofing attacks against drones by analyzing camera's video stream. - Narek Tumanyan, Omer Bar-Tal, Shai Bagon, Tali Dekel:
Splicing ViT Features for Semantic Appearance Transfer. - Lars Lien Ankile, Kjartan Krange:
The DONUT Approach to EnsembleCombination Forecasting. - Giacomo Paesani, Daniël Paulusma, Pawel Rzazewski:
Classifying Subset Feedback Vertex Set for H-Free Graphs. - Hanyuan Wang, Dima Damen, Majid Mirmehdi, Toby Perrett:
TVNet: Temporal Voting Network for Action Localization. - Shuyin Xia, Xinyu Bai, Guoyin Wang, Deyu Meng, Xinbo Gao, Zizhong Chen, Elisabeth Giem:
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation. - Ali Bou Nassif, Bassel Soudan, Mohammad Azzeh, Imtinan Basem Attilli, Omar AlMulla:
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review. - Didier Ndayikengurukiye, Max Mignotte:
Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint. - Guangming Zhu, Liang Zhang, Youliang Jiang, Yixuan Dang, Haoran Hou, Peiyi Shen, Mingtao Feng, Xia Zhao, Qiguang Miao, Syed Afaq Ali Shah, Mohammed Bennamoun:
Scene Graph Generation: A Comprehensive Survey. - Daniel Ahfock, William J. Astle, Sylvia Richardson:
On randomized sketching algorithms and the Tracy-Widom law. - Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou:
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. - Bejan Sadeghian:
Actor-Critic Network for Q&A in an Adversarial Environment. - Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu:
Exploring Motion and Appearance Information for Temporal Sentence Grounding. - Leonardo Queiroz, Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%. - Yixuan Wu, Kuanlun Liao, Jintai Chen, Jinhong Wang, Danny Z. Chen, Honghao Gao, Jian Wu:
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation. - Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin:
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection. - Constantine J. Roros, Avinash C. Kak:
maskGRU: Tracking Small Objects in the Presence of Large Background Motions. - Ruiqi Wang, Weizheng Wang, Byung-Cheol Min:
Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation. - Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang:
Revisiting Open World Object Detection. - Deyu Kong, Xike Xie, Zhuoxu Zhang:
Clustering-based Partitioning for Large Web Graphs. - Ming Li:
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization. - Hisham A. Kholidy, Mohammad Ashiqur Rahman, Andrew Karam, Zahid Akhtar:
Secure Spectrum and Resource Sharing for 5G Networks using a Blockchain-based Decentralized Trusted Computing Platform. - Rakesh Kumar, Mehdi Alipour, David Black-Schaffer:
Freeway to Memory Level Parallelism in Slice-Out-of-Order Cores. - Kshitija Taywade, Brent Harrison, Judy Goldsmith:
Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand. - Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo:
Language as Queries for Referring Video Object Segmentation. - Zhaofeng Wu:
Learning with Latent Structures in Natural Language Processing: A Survey. - Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas:
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. - Oleg Kiselyov, Jeremy Yallop:
let (rec) insertion without Effects, Lights or Magic. - Junxiong Jia, Yanni Wu, Peijun Li, Deyu Meng:
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
R-Theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retrieval. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Centre Symmetric Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval. - Nathalie Revol:
Affine Iterations and Wrapping Effect: Various Approaches. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Cascaded Asymmetric Local Pattern: A Novel Descriptor for Unconstrained Facial Image Recognition and Retrieval. - Hao Guo, Jiyong Jin, Bin Liu:
Stochastic Weight Averaging Revisited. - Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
Vision Transformer with Deformable Attention. - Achiya Elyasaf, Eitan Farchi, Oded Margalit, Gera Weiss, Yeshayahu Weiss:
Combinatorial Sequence Testing Using Behavioral Programming and Generalized Coverage Criteria. - Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi:
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. - Zhaoyi Li, Hong-lin Liao:
Stability of variable-step BDF2 and BDF3 methods. - Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren:
Novelty-based Generalization Evaluation for Traffic Light Detection. - Christoph Koutschan:
Realizations of Rigid Graphs. 4-13 - Vesna Marinkovic, Tijana Sukilovic, Filip Maric:
On Automating Triangle Constructions in Absolute and Hyperbolic Geometry. 14-26 - Zhenbing Zeng, Jian Lu, Yaochen Xu, Yuzheng Wang:
Maximizing the Sum of the Distances between Four Points on the Unit Hemisphere. 27-40 - Tetsuo Ida, Hidekazu Takahashi:
A New Modeling of Classical Folds in Computational Origami. 41-53 - Jack Heimrath:
The Area Method in the Wolfram Language. 64-76 - Pascal Schreck, Nicolas Magaud, David Braun:
Mechanization of Incidence Projective Geometry in Higher Dimensions, a Combinatorial Approach. 77-90 - Predrag Janicic, Julien Narboux:
Automated Generation of Illustrations for Synthetic Geometry Proofs. 91-102 - Nicolas Magaud:
Spreads and Packings of PG(3, 2), Formally! 107-115 - Richard Schmoetten, Jake E. Palmer, Jacques D. Fleuriot:
Formalising Geometric Axioms for Minkowski Spacetime and Without-Loss-of-Generality Theorems. 116-128 - Philip H. Todd:
A Method for the Automated Discovery of Angle Theorems. 148-155 - Christopher W. Brown, Zoltán Kovács, Róbert Vajda:
Supporting Proving and Discovering Geometric Inequalities in GeoGebra by using Tarski. 156-166 - Archana Kumari, Stefan Schiffner, Sandra Schmitz:
SMART: a Technology Readiness Methodology in the Frame of the NIS Directive. - Yunhui Zeng, Zijun Liao, Yuanzhi Dai, Rong Wang, Xiu Li, Bo Yuan:
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism. - Antoine Amarilli, Louis Jachiet, Martin Muñoz, Cristian Riveros:
Efficient enumeration algorithms for annotated grammars. - Hamed Hellaoui, Ali Chelli, Miloud Bagaa, Tarik Taleb:
Efficient Steering Mechanism for Mobile Network-enabled UAVs. - Hao Yu, Tarik Taleb, Jiawei Zhang:
Deterministic Service Function Chaining over Beyond 5G Edge Fabric. - Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Rendi Chevi, Radityo Eko Prasojo, Alham Fikri Aji:
Which Student is Best? A Comprehensive Knowledge Distillation Exam for Task-Specific BERT Models. - Benjamin Hilprecht, Carsten Binnig:
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. - Dosti Kh. Abbas, Tarik A. Rashid, Karmand H. Abdallaand, Nebojsa Bacanin, Abeer Alsadoon:
Using Fitness Dependent Optimizer for Training Multi-layer Perceptron. - Kai Wang, Yu Liu, Quan Z. Sheng:
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. - Sunit Shantanu Digamber Fulari, Harbinder Singh:
Ant colonization processed algorithm for design of a toroidal shaped mobile 5G antenna. - Yongchao Dang, Chafika Benzaid, Bin Yang, Tarik Taleb:
Deep Learning for GPS Spoofing Detection in Cellular Enabled Unmanned Aerial Vehicle Systems. - Sunit Shantanu Digamber Fulari, Harbinder Singh:
Design of Differently shaped antenna by using Major Modifications in Design of copper annealed and FR4 junction. - Adrian Redder, Arunselvan Ramaswamy, Holger Karl:
Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. - Gesina Schwalbe, Christian Wirth, Ute Schmid:
Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks. - Sunit Shantanu Digamber Fulari, Harbinder Singh:
Antenna parameterization for effectiveness in horn shaped antenna for 5G communication as future of Antennas. - Jonathan Prados-Garzon, Abdelquoddouss Laghrissi, Miloud Bagaa, Tarik Taleb:
A Queuing based Dynamic Auto Scaling Algorithm for the LTE EPC Control Plane. - Shah Nawaz, Jacopo Cavazza, Alessio Del Bue:
Semantically Grounded Visual Embeddings for Zero-Shot Learning. - Wolfgang Rampeltshammer, Arvid Q. L. Keemink, Menno Sytsma, Edwin van Asseldonk, Herman van der Kooij:
Evaluation and comparison of SEA torque controllers in a unified framework. - Amir Mojtahedi, Farid Sorouri, Alireza Najafi Souha, Aidin Molazadeh, Saeedeh Shafaei Mehr:
Feature Selection-based Intrusion Detection System Using Genetic Whale Optimization Algorithm and Sample-based Classification. - Václav Skala, Duc Huy Bui:
A New Algorithm for Pyramidal Clipping of Line Segments in E3. - Timo Häckel, Philipp Meyer, Franz Korf, Thomas C. Schmidt:
Secure Time-Sensitive Software-Defined Networking in Vehicles. - Václav Skala, Duc Huy Bui:
Two New Algorithms for Line Clipping in E2 and Their Comparison. - Václav Skala:
Line Clipping in E3 with Expected Complexity O(1). - Ilja Behnke, Philipp Wiesner, Robert Danicki, Lauritz Thamsen:
A Priority-Aware Multiqueue NIC Design. - Aurélien Brun, Davide Antonio Cucci, Jan Skaloud:
LiDAR Point-to-point Correspondences for Rigorous Registration of Kinematic Scanning in Dynamic Networks. - Manan Jhaveri, Devanshu Ramaiya, Harveen Singh Chadha:
Toxicity Detection for Indic Multilingual Social Media Content. - Miquel Martí i Rabadán, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. - Hong-lin Liao, Yuanyuan Kang, Wenzhe Han:
Discrete gradient structures of BDF methods up to fifth-order for the phase field crystal model. - Sebastian Reich:
Frequentist perspective on robust parameter estimation using the ensemble Kalman filter. - Felipe A. Quezada, Cristóbal A. Navarro, Nancy Hitschfeld, Benjamin Bustos:
Squeeze: Efficient Compact Fractals for Tensor Core GPUs. - Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty:
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. - Natanael Arndt, Sebastian Zänker, Gezim Sejdiu, Sebastian Tramp:
Jekyll RDF: Template-Based Linked Data Publication with Minimized Effort and Maximum Scalability. - Zhaohua Zheng, Jianfang Li, Lingjie Zhu, Honghua Li, Frank Petzold, Ping Tan:
GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings. - Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer:
Neural network training under semidefinite constraints. - Yizhang Wang, Di Wang, You Zhou, Xiaofeng Zhang, Chai Quek:
VDPC: Variational Density Peak Clustering Algorithm. - Jinbao Zhu, Songze Li:
A Systematic Approach towards Efficient Private Matrix Multiplication. - Arnaud Delaunoy, Gilles Louppe:
SAE: Sequential Anchored Ensembles. - Shlomo Kashani, Amir Ivry:
Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI. - John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression. - Kasturi Das, Srinivasan Krishnaswamy, Somanath Majhi:
H2 Optimal Model Order Reduction over a Finite Time Interval. - Ling Tang, Yajie Yu, Yanjun Zhang, Hanyu Li:
Sketch-and-project methods for tensor linear systems. - Matteo Boffa, Zied Ben-Houidi, Jonatan Krolikowski, Dario Rossi:
Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure. - Mingfu Xue, Xin Wang, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu:
Compression-Resistant Backdoor Attack against Deep Neural Networks. - Somreeta Pramanik, Adlen Ksentini, Carla-Fabiana Chiasserini:
Characterizing the Computational and Memory Requirements of Virtual RANs. - Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar:
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges. - Christin Katharina Kreutz, Ralf Schenkel:
Scientific Paper Recommendation Systems: a Literature Review of recent Publications. - Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov:
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. - Stanislaw Adaszewski, Pascal Kuner, Ralf J. Jaeger:
Automatic Pharma News Categorization. - Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi:
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. - Federico Albanese, Esteban Feuerstein:
Improved Topic modeling in Twitter through Community Pooling. - Leszek Szczecinski, Iris-Ioana Roatis:
FIFA ranking: Evaluation and path forward. - Bruno Ohana, Jack Sullivan, Nicole Baker:
Validation and Transparency in AI systems for pharmacovigilance: a case study applied to the medical literature monitoring of adverse events. - Hao Peng, Hang Li, Lei Hou, Juanzi Li, Chao Qiao:
Multimodal Entity Tagging with Multimodal Knowledge Base. - Arnault Pachot, Adélaïde Albouy-Kissi, Benjamin Albouy-Kissi, Frédéric Chausse:
Decision support system for distributed manufacturing based on input-output analysis and economic complexity. - Honguk Woo, Hyunsung Lee, Sangwoo Cho:
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation. - Yuan-Yu Chang, Sheng-Tang Wong, Emmanuel Oluwatobi Salawu, Yu-Xuan Wang, Jui-Hung Hung, Lee-Wei Yang:
Full-privacy secured search engine empowered by efficient genome-mapping algorithms. - Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang:
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network. - Adam Smelko, Sona Molnárová, Miroslav Kratochvíl, Abhishek Koladiya, Jan Musil, Martin Krulis, Jirí Vondrásek:
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM. - Qixin Zhang, Zengde Deng, Zaiyi Chen, Yu Yang:
Continuous Submodular Maximization: Boosting via Non-oblivious Function. - Shiyuan Sun, Fang Yang, Jian Song, Zhu Han:
Optimization on Multi-User Physical Layer Security of Intelligent Reflecting Surface-Aided VLC. - Amir Modares, Nasser Sadati, Hamidreza Modares:
Data Driven Safe Gain-Scheduling Control. - Denis Fortun, Étienne Baudrier, Fabian Zwettler, Markus Sauer, Sylvain Faisan:
Multiview point cloud registration with anisotropic and space-varying localization noise. - Nikhil Potu Surya Prakash:
A Computational Approach for Variational Integration of Attitude Dynamics on SO(3). - Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao:
Multi-view Data Classification with a Label-driven Auto-weighted Strategy. - Sara Malvar, Julio Romano Meneghini:
Machine learning approaches for localized lockdown during COVID-19: a case study analysis. - Claudia Schon, Ulrich Furbach, Marco Ragni:
Modeling Associative Reasoning Processes. - Bárbara Tavares, Cláudia Soares, Manuel Marques:
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems. - Vrishabh Patil, Yonatan Mintz:
A Mixed Integer Programming Approach to Training Dense Neural Networks. - Andrew Downie, Bahman Gharesifard, Stephen L. Smith:
Submodular Maximization with Limited Function Access. - Mohammad A. Moghaddam, Ty Paul Andrew Ferré, Xingyuan Chen, Kewei Chen, Mohammad Reza Ehsani:
Application of Machine Learning Methods in Inferring Surface Water Groundwater Exchanges using High Temporal Resolution Temperature Measurements. - Malin Sandström, Mathew Birdsall Abrams, Jan G. Bjaalie, Mona Hicks, David N. Kennedy, Arvind Kumar, Jean-Baptiste Poline, Prasun Roy, Paul H. E. Tiesinga, Thomas Wachtler, Wojtek Goscinski:
Recommendations for repositories and scientific gateways from a neuroscience perspective. - Davide Ginelli, Oliviero Riganelli, Daniela Micucci, Leonardo Mariani:
Exception-Driven Fault Localization for Automated Program Repair. - Sandro Preto, Eduardo Fermé, Marcelo Finger:
Coherence of probabilistic constraints on Nash equilibria. - Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation. - Robert J. Joyce, Edward Raff, Charles Nicholas:
Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time. - Cong Thanh Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
MetaChain: A Novel Blockchain-based Framework for Metaverse Applications. - Sriramya Bhamidipati, Tara Yasmin Mina, Grace Xingxin Gao:
A Case Study Analysis for Designing a Lunar Navigation Satellite System with Time-Transfer from Earth-GPS. - Harrison Foley, Liam Fowl, Tom Goldstein, Gavin Taylor:
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning. - Phillip Rieger, Thien Duc Nguyen, Markus Miettinen, Ahmad-Reza Sadeghi:
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection. - Ruiqi He, Yash Raj Jain, Falk Lieder:
Have I done enough planning or should I plan more? - Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara:
Class-Incremental Continual Learning into the eXtended DER-verse. - Marwan Omar, Soohyeon Choi, DaeHun Nyang, David Mohaisen:
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions. - Javier Hernandez-Ortega, Julian Fiérrez, Ignacio Serna, Aythami Morales:
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment. - Pooneh Safayenikoo, Arghavan Asad, Mahmood Fathy:
Energy-efficient Non Uniform Last Level Caches for Chip-multiprocessors Based on Compression. - Marc Demange, David Ellison, Bertrand Jouve:
Orienteering problem with time-windows and updating delay. - Franz J. Brandenburg:
On Optimal Beyond-Planar Graphs. - Siming Yan, Zhenpei Yang, Haoxiang Li, Li Guan, Hao Kang, Gang Hua, Qixing Huang:
Implicit Autoencoder for Point Cloud Self-supervised Representation Learning. - Thomas Fernique, Ilya Galanov:
Purely local growth of a quasicrystal. - Shunyu Yao, Ruizhe Zhong, Yichao Yan, Guangtao Zhai, Xiaokang Yang:
DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering. - Ilya Galanov:
The exact complexity of a Robinson tiling. - Akhil Arora, Martin Gerlach, Tiziano Piccardi, Alberto García-Durán, Robert West:
Wikipedia Reader Navigation: When Synthetic Data Is Enough. - Naama Ben-David, Guy E. Blelloch, Yuanhao Wei:
Lock-Free Locks Revisited. - Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing:
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space. - Quan Thoi Minh Nguyen:
00. - Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller:
Multivariate Time Series Regression with Graph Neural Networks. - David A. Noever:
Runway Extraction and Improved Mapping from Space Imagery. - Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu:
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data. - Alia Abbas:
AI & Racial Equity: Understanding Sentiment Analysis Artificial Intelligence, Data Security, and Systemic Theory in Criminal Justice Systems. - Dimitris Karakostas, Aggelos Kiayias, Thomas Zacharias:
Blockchain Nash Dynamics and the Pursuit of Compliance. - Nikhil Potu Surya Prakash, Tamara Perreault, Trevor Voth, Zejun Zhong:
Adaptive Model Predictive Control of Wheeled Mobile Robots. - Timothy Stevens, Joseph P. Near, Christian Skalka:
Secret Sharing Sharing For Highly Scalable Secure Aggregation. - Suhas S. Kowshik:
Improved bounds for the many-user MAC. - Niloofar Bahadori, Jonathan D. Ashdown, Francesco Restuccia:
ReWiS: Reliable Wi-Fi Sensing Through Few-Shot Multi-Antenna Multi-Receiver CSI Learning. - Mehdi Zaïdi:
Duality for the existential fragment of first-order logic on words with numerical predicates of a fixed arity. - Jacob Nelson-Slivon, Ahmed Hassan, Roberto Palmieri:
Technical Report: Bundling Linked Data Structures for Linearizable Range Queries. - Hanlin Mo, Hua Li, Guoying Zhao:
Gaussian-Hermite Moment Invariants of General Vector Functions to Rotation-Affine Transform. - Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
Monitoring and Anomaly Detection Actor-Critic Based Controlled Sensing. - Amir Behrouzi-Far, Emina Soljanin:
Balanced Nonadaptive Redundancy Scheduling. - Rubén Aylwin, Carlos Jerez-Hanckes:
Finite-Element Domain Approximation for Maxwell Variational Problems on Curved Domains. - Vahid Keshavarzzadeh, Shandian Zhe, Robert M. Kirby, Akil Narayan:
GP-HMAT: Scalable, O(n log(n)) Gaussian Process Regression with Hierarchical Low-Rank Matrices. - John Patterson, Chris S. Avery, Tyler Grear, Donald J. Jacobs:
Biased Hypothesis Formation From Projection Pursuit. - Yibin Wang, Haifeng Wang, Zhaohua Peng:
Rice Diseases Detection and Classification Using Attention Based Neural Network and Bayesian Optimization. - Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman:
A Survey on DNS Encryption: Current Development, Malware Misuse, and Inference Techniques. - Kamil Doleglo, Anna Paszynska, Maciej Paszynski, Leszek F. Demkowicz:
Deep neural networks for smooth approximation of physics with higher order and continuity B-spline base functions. - Thai T. Vu, Dinh Thai Hoang, Khoa Tran Phan, Diep N. Nguyen, Eryk Dutkiewicz:
Energy-based Proportional Fairness in Cooperative Edge Computing. - Lorenzo Jaime Yu Flores, Yiding Hao:
An Adversarial Benchmark for Fake News Detection Models. - Bingquan Ji, Xiaohan Zhu, Hong-lin Liao:
Energy stability of variable-step L1-type schemes for time-fractional Cahn-Hilliard model. - Nathan A. Chi, Peter Washington, Aaron Kline, Arman Husic, Cathy Hou, Chloe He, Kaitlyn Dunlap, Dennis P. Wall:
Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach. - Charles Dawson, Bethany Lowenkamp, Dylan Goff, Chuchu Fan:
Learning Safe, Generalizable Perception-based Hybrid Control with Certificates. - Kuniyuki Takahashi, Naoki Fukaya, Avinash Ummadisingu:
Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping. - Yihua Ma, Zhifeng Yuan, Guanghui Yu, Shuqiang Xia, Liujun Hu:
Waveform Design Using Half-duplex Devices for 6G Joint Communications and Sensing. - Joos Heintz, Hvara Ocar, Luis Miguel Pardo, Andres Rojas Paredes, Enrique Carlos Segura:
An unfeasability view of neural network learning. - Bulla Rajesh, Abhishek Kumar Gupta, Ayush Raj, Mohammed Javed:
HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network. - José Alves Oliveira, Fabio Enrique Brochero Martínez:
Dynamics of polynomial maps over finite fields. - Yunzhi Lin, Chao Tang, Fu-Jen Chu, Ruinian Xu, Patricio A. Vela:
Primitive Shape Recognition for Object Grasping. - Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin:
Neural Piecewise-Constant Delay Differential Equations. - Tanmoy Chakraborty, Sarah Masud:
Nipping in the Bud: Detection, Diffusion and Mitigation of Hate Speech on Social Media. - Letian Peng, Zuchao Li, Hai Zhao:
Semantics-Preserved Distortion for Personal Privacy Protection. - Rajagopal A., Nirmala V., Andrew J., Arun Muthuraj Vedamanickam:
AI visualization in Nanoscale Microscopy. - Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang:
The PETSc Community Is the Infrastructure. - Md Lutfar Rahman, Thomas Watson:
Erdős-Selfridge Theorem for Nonmonotone CNFs. - Rajagopal A., Nirmala V., Arun Muthuraj Vedamanickam:
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety. - Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo:
Submix: Practical Private Prediction for Large-Scale Language Models. - Hyunjin Choo, Kijung Shin:
On the Persistence of Higher-Order Interactions in Real-World Hypergraphs. - Wei Gong, Felix Kwok, Zhiyu Tan:
Convergence analysis of the Schwarz alternating method for unconstrained elliptic optimal control problems. - Chengxi Li, Brent Harrison:
StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams. - Shengwen Ding, Chenhui Hu:
Survey on the Convergence of Machine Learning and Blockchain. - Andre Jesus, Claudio Zito, Claudio Tortorici, Eloy Roura, Giulia De Masi:
Underwater Object Classification and Detection: first results and open challenges. - Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang:
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. - Suyash Gupta, Sajjad Rahnama, Erik Linsenmayer, Faisal Nawab, Mohammad Sadoghi:
Reliable Transactions in Serverless-Edge Architecture. - Tonmoay Deb, Akib Sadmanee, Kishor Kumar Bhaumik, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
Variational Stacked Local Attention Networks for Diverse Video Captioning. - Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li:
MDFEND: Multi-domain Fake News Detection. - Bowen Xing, Ivor W. Tsang:
DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification. - Oussama Bekkouche, Miloud Bagaa, Tarik Taleb:
Toward a UTM-based Service Orchestration for UAVs in MEC-NFV Environment. - Neng Wan, Dapeng Li, Naira Hovakimyan:
Fundamental Limitations of Control and Filtering in Continuous-Time Systems: An Information-Theoretic Analysis. - Bosubabu Sambana, Priyanka Mishra:
A Survey on Brain-Computer Interaction. - Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Swalpa Kumar Roy, Xin Wu:
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification. - Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He:
Multi-Representation Adaptation Network for Cross-domain Image Classification. - Yongchun Zhu, Fuzhen Zhuang, Deqing Wang:
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources. - Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. - Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak:
Learning to Generate Novel Classes for Deep Metric Learning. - Mikhail Moshkov:
Time and space complexity of deterministic and nondeterministic decision trees. - Yunze Xiao, Hao Zhu, Haotian Yang, Zhengyu Diao, Xiangju Lu, Xun Cao:
Detailed Facial Geometry Recovery from Multi-view Images by Learning an Implicit Function. - Wei Lin, Hua Jiang, Zhifang Yang:
Tie-line Security Regions in High Dimension for Renewable Accommodations. - Benting Wan, Shufen Zhou:
A integrating critic-waspas group decision making method under interval-valued q-rung orthogonal fuzzy enviroment. - Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux:
Weakly-supervised continual learning for class-incremental segmentation. - Liwen Hu, Lei Ma, Dawei Weng, Tiejun Huang:
A Robust Visual Sampling Model Inspired by Receptive Field. - Swati Bhardwaj, Madhu Raka:
Multi-dimensional Constacyclic Codes of Arbitrary Length over Finite Fields. - Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris:
Learning Operators with Coupled Attention. - Chenwu Zhang, Hancheng Lu, Zhuojia Gu:
Analysis and Optimization of Cache-Enabled mmWave HetNets with Integrated Access and Backhaul. - Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl:
McXai: Local model-agnostic explanation as two games. - Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. - Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais:
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing. - Ashirbad Pradhan, Jiayuan He, Ning Jiang:
Open Access Dataset for Electromyography based Multi-code Biometric Authentication. - Ali El-Merhi, Helena Odenstedt Hergés, Linda Block, Mikael Elam, Richard Vithal, Jaquette Liljencrantz, Miroslaw Staron:
Trusting Machine Learning Results from Medical Procedures in the Operating Room. - Liang Ma, Damien Chablat, Fouad Bennis, Wei Zhang:
A new simple dynamic muscle fatigue model and its validation. - Öznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth M. Daly, Diptikalyan Saha:
FROTE: Feedback Rule-Driven Oversampling for Editing Models. - Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk:
Towards Unsupervised Open World Semantic Segmentation. - Zhiwei Li, Lu Sun, Mineichi Kudo, Kego Kimura:
CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels. - Hui Liu, Bo Zhao, Yuefeng Peng, Weidong Li, Peng Liu:
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection. - Donghwa Shon, Byeongjoon Noh, Nahyang Byun:
Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing. - Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Lei Jin, Guoli Wang, Qian Zhang:
Learning Quality-aware Representation for Multi-person Pose Regression. - Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi:
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks. - Yunbin Zhao, Songhao Zhu, Dongsheng Wang, Zhiwei Liang:
Short Range Correlation Transformer for Occluded Person Re-Identification. - Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks. - Mostafa Faraji, Alexander Seitz, Christoph Meier, Wolfgang A. Wall:
A Mortar Finite Element Formulation for Large Deformation Lubricated Contact Problems with Smooth Transition Between Mixed, Elasto-Hydrodynamic and Full Hydrodynamic Lubrication. - Sedar Olmez, Dan Birks, Alison J. Heppenstall:
Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study. - Fangcheng Liu, Chao Zhang, Hongyang Zhang:
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes. - Ángel Giménez, Miguel A. Murcia, José M. Amigó, Oscar Martínez Bonastre, José Valero:
New RED-type TCP-AQM algorithms based on beta distribution drop functions. - Andrew Lewis-Pye:
Quadratic worst-case message complexity for State Machine Replication in the partial synchrony model. - Yuan Zhang, Yuanqing Xia, Yufeng Zhan:
On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods. - He Ma, Shidong Zhou:
Noisy Sensor Scheduling in Wireless Networked Control Systems: Freshness or Precision. - Jingjing Yang, Haifeng Lu, Chengming Li, Xiping Hu, Bin Hu:
Data Augmentation for Depression Detection Using Skeleton-Based Gait Information. - Mohammad Eslami, Tara Ghasempouri, Samuel Pagliarini:
Reusing Verification Assertions as Security Checkers for Hardware Trojan Detection. - Kai Wu, Chao Wang, Junyuan Chen, Jing Liu:
What Knowledge can be Transferred Between Network Reconstruction and Community Detection? - Alex Berke, Ronan Doorley, Kent Larson, Esteban Moro:
Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy. - Yanhua Xu, Dominik Wojtczak:
Predicting Influenza A Viral Host Using PSSM and Word Embeddings. - Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Digital Twin Network: Opportunities and Challenges. - Chao Wang, Kai Wu, Jing Liu:
Evolutionary Multitasking AUC Optimization. - Ievgen Kabin, Zoya Dyka, Dan Kreiser, Peter Langendoerfer:
Unified Field Multiplier for ECC: Inherent Resistance against Horizontal SCA Attacks. - Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi:
Parity-based Cumulative Fairness-aware Boosting. - Ievgen Kabin, Alejandro Sosa, Zoya Dyka, Dan Klann, Peter Langendoerfer:
On the Influence of the FPGA Compiler Optimization Options on the Success of the Horizontal Attack. - Jan Vykopal, Valdemar Svábenský, Pavel Seda, Pavel Celeda:
Preventing Cheating in Hands-on Lab Assignments. - Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei:
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. - Ievgen Kabin, Zoya Dyka, Dan Klann, Nele Mentens, Lejla Batina, Peter Langendoerfer:
Breaking a fully Balanced ASIC Coprocessor Implementing Complete Addition Formulas on Weierstrass Elliptic Curves. - Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng:
Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning. - Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu:
Interpretable Low-Resource Legal Decision Making. - R. Pinto Carvalho, A. M. Couto Carneiro, F. M. Andrade Pires, A. Popp:
An Efficient Contact Algorithm for Rigid/Deformable Interaction based on the Dual Mortar Method. - Yun Li, Yixiu Wang, Yifu Chen, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao:
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation. - Haemin Lee, Sean Soek-Chul Kwon, Soyi Jung, Joongheon Kim:
Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery. - Thomas Mueller Graf, Daniel Lemire:
Binary Fuse Filters: Fast and Smaller Than Xor Filters. - Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
Towards Fair Recommendation in Two-Sided Platforms. - R. Kovtun, Sergiy Radchenko, Andrii Netreba, Oleksandr O. Sudakov, Roman Natarov, Zoya Dyka, Ievgen Kabin, Peter Langendörfer:
Exploiting EEG Signals for Eye Motion Tracking. - Kshitija Taywade, Brent Harrison, Adib Bagh:
Modelling Cournot Games as Multi-agent Multi-armed Bandits. - Matteo Gavazzoni, Nicola Ferro, Simona Perotto, Stefano Foletti:
Multi-physics inverse homogenization for the design of innovative cellular materials: application to thermo-mechanical problems. - Ruiyin Li, Mohamed Soliman, Peng Liang, Paris Avgeriou:
Symptoms of Architecture Erosion in Code Reviews: A Study of Two OpenStack Projects. - Adam Polevoy, Max Basescu, Luca Scheuer, Joseph L. Moore:
Post-Stall Navigation with Fixed-Wing UAVs using Onboard Vision. - Abdalsamad Keramatfar, Mohadeseh Rafiee, Hossein Amirkhani:
Graph Neural Networks: a bibliometrics overview. - B. Ananthanarayan, Souvik Bera, S. Friot, Tanay Pathak:
Olsson.wl : a Mathematica package for the computation of linear transformations of multivariable hypergeometric functions. - Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock:
Two-level Graph Neural Network. - Ravi Peters, Balázs Dukai, Stelios Vitalis, Jordi van Liempt, Jantien E. Stoter:
Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands. - Viktor Linders:
On an eigenvalue property of Summation-By-Parts operators. - Mohammadamin Tavakoli, Alexander Shmakov, Francesco Ceccarelli, Pierre Baldi:
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation. - Shiqi Zheng, Peng Shi, Huiyan Zhang:
Semi-global Periodic Event-triggered Output Regulation for Nonlinear Multi-agent Systems. - Yuanfeng Song, Raymond Chi-Wing Wong, Xuefang Zhao, Di Jiang:
Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Question. - Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. - Wei Ding, Sansit Patnaik, Fabio Semperlotti:
Multiscale Nonlocal Elasticity: A Distributed Order Fractional Formulation. - Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato:
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. - Andrew R. Cohen, Paul M. B. Vitányi:
The cluster structure function. - Farshad Noravesh:
Sparse Non-Convex Optimization For Higher Moment Portfolio Management. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Exponentially Convergent Direct Adaptive Pole Placement Control of Plants with Unmatched Uncertainty under FE Condition. - Zhe Zhang, Shiyao Ma, Zhaohui Yang, Zehui Xiong, Jiawen Kang, Yi Wu, Kejia Zhang, Dusit Niyato:
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones. - Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. - Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens:
Discrete and continuous representations and processing in deep learning: Looking forward. - Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error. - Beate Grawemeyer, John Halloran, Matthew England, David Croft:
Feedback and Engagement on an Introductory Programming Module. - Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. - Piero Deidda, Mario Putti, Francesco Tudisco:
Nodal domain count for the generalized graph p-Laplacian. - Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions. - Guan Wang, Yusuke Kikuchi, Jinglin Yi, Qiong Zou, Rui Zhou, Xin Guo:
Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity. - Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan:
Multi-Stage Episodic Control for Strategic Exploration in Text Games. - Erdal Mutlu, Ajay Panyala, Karol Kowalski, Nicholas P. Bauman, Bo Peng, Jiri Brabec, Sriram Krishnamoorthy:
TAMM: Tensor Algebra for Many-body Methods. - Niall L. Williams, Aniket Bera, Dinesh Manocha:
ENI: Quantifying Environment Compatibility for Natural Walking in Virtual Reality. - Roberto La Scala, Sergio Polese, Sharwan K. Tiwari, Andrea Visconti:
An algebraic attack to the Bluetooth stream cipher E0. - Hamed Hellaoui, Miloud Bagaa, Ali Chelli, Tarik Taleb:
Joint Sub-carrier and Power Allocation for Efficient Communication of Cellular UAVs. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Local Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Local Directional Gradient Pattern: A Local Descriptor for Face Recognition. - Soumendu Chakraborty, Anand Singh Jalal, Charul Bhatnagar:
LSB Based Non Blind Predictive Edge Adaptive Image Steganography. - Brian S. Ryujin, Arturo Vargas, Ian Karlin, Shawn A. Dawson, Kenneth Weiss, Adam Bertsch, Michael Scott McKinley, Michael R. Collette, Simon D. Hammond, Kevin T. Pedretti, Robert N. Rieben:
Understanding Power and Energy Utilization in Large Scale Production Physics Simulation Codes. - Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Dominik Neumann, Pragneshkumar Patel, R. S. Vishwanath, James M. Balter, Yue Cao, Sasa Grbic, Dorin Comaniciu:
Self-supervised Learning from 100 Million Medical Images. - Dominik Kempa, Tomasz Kociumaka:
Dynamic Suffix Array with Polylogarithmic Queries and Updates. - Bradley McCoy, Eli Quist, Anna Schenfisch:
Catching Polygons. - Xin Wang, Ziwei Zhang, Wenwu Zhu:
Automated Graph Machine Learning: Approaches, Libraries and Directions. - Wenwu Zhu, Xin Wang, Pengtao Xie:
Self-directed Machine Learning. - Wele Gedara Chaminda Bandara, Vishal M. Patel:
A Transformer-Based Siamese Network for Change Detection. - Trung-Hieu Tran, Jan Berberich, Sven Simon:
3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution. - Qiankun Liu, Dongdong Chen, Qi Chu, Lu Yuan, Bin Liu, Lei Zhang, Nenghai Yu:
Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation. - Matthew J. Colbrook, Andrew Horning:
SpecSolve: Spectral methods for spectral measures. - Nicola Guglielmi, Mattia Manucci:
Contour Integral Methods for time treatment in Reduced Basis Methods. - Prithvi Akella, Wyatt Ubellacker, Aaron D. Ames:
Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification. - Subhadip Mitra:
OConsent - Open Consent Protocol for Privacy and Consent Management with Blockchain. - Marco Fabris, Daniel Zelazo:
Bearing-based Autonomous Communication Relay Positioning under Field-of-View Constraints. - Alexandre Alcoforado, Thomas Palmeira Ferraz, Rodrigo Gerber, Enzo Bustos, André Seidel Oliveira, Bruno Miguel Veloso, Fábio Levy Siqueira, Anna Helena Reali Costa:
ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling. - Hannes Bartz, Sven Puchinger:
Fast Decoding of Interleaved Linearized Reed-Solomon Codes and Variants. - Eya Ben Amar, Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Raúl Tempone:
Efficient Importance Sampling Algorithm Applied to the Performance Analysis of Wireless Communication Systems Estimation. - Xiaolong Huang, Alexandre F. Ramos, Yuefan Deng:
Optimal circulant graphs as low-latency network topologies. - Sabine Storandt, Johannes Zink:
Polyline Simplification under the Local Fréchet Distance has Subcubic Complexity in 2D. - George Panagopoulos, Michalis Vazirgiannis:
Exploratory Analysis of Academic Collaborations between French and US. - Hengbo Ma, Bike Zhang, Masayoshi Tomizuka, Koushil Sreenath:
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments. - Samuel Arseneault, David Vielfaure, Giovanni Beltrame:
RASS: Risk-Aware Swarm Storage. - Eryn Ma, Summer Hasama, Eshaan Lumba, Eleanor Birrell:
Prospects for Improving Password Selection. - Daniel Pfrommer, Nikolai Matni:
Linear Variational State Space Filtering. - Xingqin Lin:
An Overview of 5G Advanced Evolution in 3GPP Release 18. - Mamdouh Alenezi:
Software and Security Engineering in Digital Transformation. - Visak Kumar:
Learning Control Policies for Fall prevention and safety in bipedal locomotion. - Andrew W. E. McDonald, Ali Shokoufandeh:
Sparse Super-Regular Networks. - Luciana Ferrer, Diego Castán, Mitchell McLaren, Aaron Lawson:
A Hierarchical Model for Spoken Language Recognition. - Yuhao Zhu:
RTNN: Accelerating Neighbor Search Using Hardware Ray Tracing. - Won Kyung Do, Monroe Kennedy III:
DenseTact: Optical Tactile Sensor for Dense Shape Reconstruction. - Sven Gronauer, Matthias Kissel, Luca Sacchetto, Mathias Korte, Klaus Diepold:
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors. - Nuno Baeta, Pedro Quaresma:
Open Geometry Prover Community Project. 129-138 - Yan Pang, Chao Liu:
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification. - Yan Pang, Chao Liu:
Efficient-Dyn: Dynamic Graph Representation Learning via Event-based Temporal Sparse Attention Network. - Nisa Bostanci, Ataberk Olgun, Lois Orosa, Abdullah Giray Yaglikçi, Jeremie S. Kim, Hasan Hassan, Oguz Ergin, Onur Mutlu:
DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators. - Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Deep learning for location based beamforming with NLOS channels. - Mohamad Kazem Shirani Faradonbeh, Aditya Modi:
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems. - Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu:
End-to-End Autoencoder Communications with Optimized Interference Suppression. - Zhijin Qin, Xiaoming Tao, Jianhua Lu, Geoffrey Ye Li:
Semantic Communications: Principles and Challenges. - Ademola Okerinde, Sam Hoggatt, Divya Vani Lakkireddy, Nolan Brubaker, William Hsu, Lior Shamir, Brian Spiesman:
Self-Supervised Approach to Addressing Zero-Shot Learning Problem. - Hanseok Kim, Woo-Seok Choi:
Improving Spiking Neural Network Accuracy Using Time-based Neurons. - Nestor Sánchez, Tonatiuh Sánchez-Vizuet, Manuel E. Solano:
Afternote to Coupling at a distance: convergence analysis and a priori error estimates. - Hieu Le, Hans Walker, Dung N. Tran, Peter Chin:
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness. - Guangshen Ma, Weston A. Ross, Patrick J. Codd:
Robotic Laser Orientation Planning with a 3D Data-driven Method. - Hasham Ul Haq, Veysel Kocaman, David Talby:
Mining Adverse Drug Reactions from Unstructured Mediums at Scale. - Rami Akrem Addad, Diego Leonel Cadette Dutra, Miloud Bagaa, Tarik Taleb, Hannu Flinck, Mehdi Namane:
Benchmarking the ONOS Intent interfaces to ease 5G service management. - Jingwei Song, Mitesh Patel, Maani Ghaffari:
Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization. - Amin Eslami Abyane, Derui Zhu, Roberto Medeiros de Souza, Lei Ma, Hadi Hemmati:
Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness. - Xian Wei, Xihao Wang, Hai Lan, JiaMing Lei, Yanhui Huang, Hui Yu, Jian Yang:
Synthesizing Tensor Transformations for Visual Self-attention. - Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Towards Similarity-Aware Time-Series Classification. - Sihem Ouahouah, Jonathan Prados-Garzon, Tarik Taleb, Chafika Benzaid:
Energy and Delay aware Physical Collision Avoidance in Unmanned Aerial Vehicles. - Chris Rohlfs:
Problem-dependent attention and effort in neural networks with an application to image resolution. - UJu Gim, YeongHyeon Park:
Latent Vector Expansion using Autoencoder for Anomaly Detection. - Asei Inoue, Yusuke Kobayashi:
An Additive Approximation Scheme for the Nash Social Welfare Maximization with Identical Additive Valuations. - Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin:
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. - Chongjun Ouyang, Yuanwei Liu, Hongwen Yang:
On the Performance of Uplink ISAC Systems. - Peng Hang, Chao Huang, Zhongxu Hu, Chen Lv:
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach. - Yang Zhang, Yang Yang, Chenyun Xiong, Guodong Sun, Yanwen Guo:
Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation. - Peng Hang, Chao Huang, Zhongxu Hu, Chen Lv:
Decision Making for Connected Automated Vehicles at Urban Intersections Considering Social and Individual Benefits. - Ke Li, Peili Mao, Tao Chen:
LONViZ: Unboxing the black-box of Configurable Software Systems from a Complex Networks Perspective. - Bingnan Zhou, Junfei Xie, Baoqian Wang:
Dynamic Coded Convolution with Privacy Awareness for Mobile Ad Hoc Computing. - Ching-Lueh Chang:
Deterministic metric 1-median selection with very few queries. - Masaaki Harada:
Construction of extremal Type II Z2k-codes. - Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica:
Balsa: Learning a Query Optimizer Without Expert Demonstrations. - Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia:
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. - Andy Shih, Stefano Ermon, Dorsa Sadigh:
Conditional Imitation Learning for Multi-Agent Games. - Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly:
Offsetting Unequal Competition through RL-assisted Incentive Schemes. - Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu:
ARCLIN: Automated API Mention Resolution for Unformatted Texts. - Matti Pietikäinen, Olli Silvén:
Challenges of Artificial Intelligence - From Machine Learning and Computer Vision to Emotional Intelligence. - Jon McCormack, Camilo Cruz Gambardella:
Complexity and Aesthetics in Generative and Evolutionary Art. - Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda:
Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. - (Withdrawn) Control of a Soft Robotic Arm Using a Piecewise Universal Joint Model.
- Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers:
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control. - Sharvani Srivastava, Amisha Gangwar, Richa Mishra, Sudhakar Singh:
Sign Language Recognition System using TensorFlow Object Detection API. - Pierre Mézières, François Desrichard, David Vanderhaeghe, Mathias Paulin:
Harmonics Virtual Lights : fast projection of luminance field on spherical harmonics for efficient rendering. - Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng:
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers. - Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu:
Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. - Mikhail Moshkov:
Decision trees for binary subword-closed languages. - Chongkeun Paik, Hyunwoo J. Kim:
Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones. - Yun Fan, Yuchang Zhang:
Self-dual 2-quasi-cyclic Codes and Dihedral Codes. - Rui Peng, Rongjie Wang, Zhenyu Wang, Yawen Lai, Ronggang Wang:
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss. - Shuaijun Chen, Jinxi Wang, Wei Pan, Shang Gao, Meili Wang, Xuequan Lu:
Towards Uniform Point Distribution in Feature-preserving Point Cloud Filtering. - Xiaotian Wang, Housheng Su:
Transmission-Constrained Consensus of Multiagent Networks. - Akul Malhotra, Atanu K. Saha, Chunguang Wang, Sumeet Kumar Gupta:
ADRA: Extending Digital Computing-in-Memory with Asymmetric Dual-Row-Activation. - Daniela Thyssens, Jonas K. Falkner, Lars Schmidt-Thieme:
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size. - Shengyao Zhuang, Zhihao Qiao, Guido Zuccon:
Reinforcement Online Learning to Rank with Unbiased Reward Shaping. - Feiyu Yao, Zongkai Wu, Zhenyu Wei, Donglin Wang:
Few-shot Domain Adaptation for IMU Denoising. - B. V. S. Nagendra Reddy, Vitthal Manohar Khatik, Burkhard Corves, Anupam Saxena:
Compliant Constant Output / Input Force Mechanisms - Topology Optimization with Contact. - Mohamed Amine Hamadi, Khalide Jbilou, Ahmed Ratnani:
An efficient extended block Arnoldi algorithm for feedback stabilization of incompressible Navier-Stokes flow problems. - Catherine F. Higham, Desmond J. Higham, Francesco Tudisco:
Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer. - Ahmed Elkhashap, Dirk Abel:
Model Order Reduction of Advection-Dispersion-Reaction Equation with Time-Varying Coefficients, Application to Real-Time Water Quality Monitoring. - Rob Watson, Will Trojak:
On the Use of RBF Interpolation for Flux Reconstruction. - Changan Niu, Chuanyi Li, Vincent Ng, Jidong Ge, Liguo Huang, Bin Luo:
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations. - Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform. - Lars Gottesbüren, Tobias Heuer, Peter Sanders:
Parallel Flow-Based Hypergraph Partitioning. - Hengjia Wei, Moshe Schwartz:
Perfect Codes Correcting a Single Burst of Limited-Magnitude Errors. - Dilek Küçük:
Monitoring Energy Trends through Automatic Information Extraction. - Bing Han, Zhongyang Xiao, Shuai Huang, Tao Zhang:
Multi-layer VI-GNSS Global Positioning Framework with Numerical Solution aided MAP Initialization. - Zhengqi Zhang, Zhidong Zhang, Zhi Zhou:
Identification of potential in diffusion equations from terminal observation: analysis and discrete approximation. - Giulia Zaino, Carmine Tommaso Recchiuto, Antonio Sgorbissa:
Culture-to-Culture Image Translation with Generative Adversarial Networks. - Pavel Seda, Jan Vykopal, Valdemar Svábenský, Pavel Celeda:
Reinforcing Cybersecurity Hands-on Training With Adaptive Learning. - Peter Kunkel, Volker Mehrmann:
Local and global canonical forms for differential-algebraic equations with symmetries. - Giannis Giakoumakis, Eva Papadogiannaki, Giorgos Vasiliadis, Sotiris Ioannidis:
Scheduling of Multiple Network Packet Processing Applications using Pythia. - Eduardo Weber Wächter, Server Kasap, Sefki Kolozali, Xiaojun Zhai, Shoaib Ehsan, Klaus D. McDonald-Maier:
Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation. - Abdelmajid Ben Yahya, Nick Van Oosterwyck, Ferre Knaepkens, Simon Houwen, Stijn Herregodts, Jan Herregodts, Bart Vanwalleghem, Annie Cuyt, Stijn Derammelaere:
CAD Based Design Optimization of Four-bar Mechanisms: a coronaventilator case study. - Xingqun Qi, Muyi Sun, Qi Li, Caifeng Shan:
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning. - Nick Van Oosterwyck, Foeke Vanbecelaere, Ferre Knaepkens, Michael Monte, Kurt Stockman, Annie Cuyt, Stijn Derammelaere:
Energy Optimal Point-to-Point Motion Profile Optimization. - Jérémie Chalopin, Victor Chepoi, Ugo Giocanti:
Graphs with convex balls. - Jaemin Shin, Yuanchun Li, Yunxin Liu, Sung-Ju Lee:
Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients. - Jiaxi Gu, Samala Rathan:
Sixth order weighted essentially non-oscillatory schemes with Z-type nonlinear weighting procedure for nonlinear degenerate parabolic equations. - He Liu, Tao Wang, Yidong Li, Congyan Lang, Songhe Feng, Haibin Ling:
Deep Probabilistic Graph Matching. - Thomas L. Carroll:
Optimizing Memory in Reservoir Computers. - Kai-Cheng Yang, Emilio Ferrara, Filippo Menczer:
Botometer 101: Social bot practicum for computational social scientists. - Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Vassilis Athitsos, Mohammad Sabokrou:
All You Need In Sign Language Production. - Arne Wendt, Thorsten Schüppstuhl:
Proxying ROS communications - enabling containerized ROS deployments in distributed multi-host environments. - Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury:
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. - Haotian Yan, Chuang Zhang, Ming Wu:
Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention. - Beatrice Ghitti, Eleuterio F. Toro, Lucas O. Müller:
Nonlinear lumped-parameter models for blood flow simulations in networks of vessels. - Amira Guesmi, Khaled N. Khasawneh, Nael B. Abu-Ghazaleh, Ihsen Alouani:
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints. - Abdulla Ayyad, Mohamad Halwani, Dewald Swart, Rajkumar Muthusamy, Fahad Almaskari, Yahya H. Zweiri:
Neuromorphic Vision Based Control for the Precise Positioning of Robotic Drilling Systems. - Ningyuan Chen, Shuoguang Yang:
Bridging Adversarial and Nonstationary Multi-armed Bandit. - Xu Zhang, Jian Yang, Haoyang Huang, Shuming Ma, Dongdong Zhang, Jinlong Li, Furu Wei:
SMDT: Selective Memory-Augmented Neural Document Translation. - Si-Si Zhang, Jian-wei Liu, Xin Zuo:
Adaptive Online Incremental Learning for Evolving Data Streams. - Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, Qiang Yang:
Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven. - Elias Tappeiner, Martin Welk, Rainer Schubert:
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation. - Nikola Milosevic, Wolfgang Thielemann:
Relationship extraction for knowledge graph creation from biomedical literature. - Lorenzo Veronese, Benjamin Farinier, Mauro Tempesta, Marco Squarcina, Matteo Maffei:
WebSpec: Towards Machine-Checked Analysis of Browser Security Mechanisms. - Susie Xi Rao, Johannes Rausch, Peter H. Egger, Ce Zhang:
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets. - James Brusseau:
From the Ground Truth Up: Doing AI Ethics from Practice to Principles. - Muhammad Ali Farooq, Waseem Shariff, Peter Corcoran:
Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems. - Vincent Mai, Kaustubh Mani, Liam Paull:
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation. - Borzoo Bonakdarpour, Sarai Sheinvald:
Finite-Word Hyperlanguages. - Sebastian L. Fuchs, Patrick M. Praegla, Christian J. Cyron, Wolfgang A. Wall, Christoph Meier:
A Versatile SPH Modeling Framework for Coupled Microfluid-Powder Dynamics in Additive Manufacturing: Binder Jetting, Material Jetting, Directed Energy Deposition and Powder Bed Fusion. - Ingvar M. Ziemann, Henrik Sandberg:
Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems. - Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto:
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis. - Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang:
Dynamic GPU Energy Optimization for Machine Learning Training Workloads. - Lixin Wang, Fuzhou Peng, Xiang Chen, Shidong Zhou:
Optimal Update for Energy Harvesting Sensor with Reliable Backup Energy. - Daniel Diethei, Ashley Colley, Julian Wienert, Johannes Schöning:
Different Length, Different Needs: Qualitative Analysis of Threads in Online Health Communities. - Diptesh Kanojia, Malhar Kulkarni, Sayali Ghodekar, Eivind Kahrs, Pushpak Bhattacharyya:
Strategies of Effective Digitization of Commentaries and Sub-commentaries: Towards the Construction of Textual History. - Aamo Iorliam, Orgem Emmanuel, Yahaya Isah Shehu:
An Investigation of "Benford's" Law Divergence and Machine Learning Techniques for "Intra-Class" Separability of Fingerprint Images. - Swaraja Salaskar, Diptesh Kanojia, Malhar Kulkarni:
Some Strategies to Capture Karaka-Yogyata with Special Reference to apadana. - Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. - Saurabh Kumar, Nishant Sinha:
Probing TryOnGAN. - Avi Chawla:
Multi Document Reading Comprehension. - Zhaonan Dong, Alexandre Ern, Jean-Luc Guermond:
Local decay rates of best-approximation errors using vector-valued finite elements for fields with low regularity and integrable curl or divergence. - Samuil Stoychev, Hatice Gunes:
The Effect of Model Compression on Fairness in Facial Expression Recognition. - Marcin Aftowicz, Ievgen Kabin, Dan Klann, Yauhen Varabei, Zoya Dyka, Peter Langendoerfer:
Horizontal SCA Attacks against kP Algorithm Using K-Means and PCA. - Stav Ashur, Sariel Har-Peled:
Local Spanners Revisited. - Marcin Aftowicz, Ievgen Kabin, Zoya Dyka, Peter Langendoerfer:
Clustering versus Statistical Analysis for SCA: when Machine Learning is Better. - David Barina:
X3: Lossless Data Compressor. - Fabio Cuzzolin:
The intersection probability: betting with probability intervals. - Antonio Finozzi, Francesco Sanfedino, Daniel Alazard:
Sub-Structuring Modeling of Large Space Truss Structures for Structure/Control Optimization in Presence of Parametric Uncertainties. - Cem Okan Yaldiz, Yildiray Yildiz:
Modeling Human Driver Interactions Using an Infinite Policy Space Through Gaussian Processes. - Michael A. Bender, Martin Farach-Colton, William Kuszmaul:
What Does Dynamic Optimality Mean in External Memory? - John Alex, Keith B. Hall, Donald Metzler:
Atomized Search Length: Beyond User Models. - Kevin Patel, Diptesh Kanojia, Pushpak Bhattacharyya:
Semi-automatic WordNet Linking using Word Embeddings. - Hunmin Lee, Jaya Krishna Mandivarapu, Nahom Ogbazghi, Yingshu Li:
Real-time Interface Control with Motion Gesture Recognition based on Non-contact Capacitive Sensing. - Eitan Frachtenberg, Rhody D. Kaner:
Underrepresentation of women in computer systems research. - Yang Zhou, Jiuhong Xiao, Yue Zhou, Giuseppe Loianno:
Multi-Robot Collaborative Perception with Graph Neural Networks. - Bowen Shi, Wei-Ning Hsu, Abdelrahman Mohamed:
Robust Self-Supervised Audio-Visual Speech Recognition. - Tim von Hahn, Chris K. Mechefske:
Knowledge Informed Machine Learning using a Weibull-based Loss Function. - Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. - Dorian Desblancs:
Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning. - Cheng Zhan, Licheng Zhang, Xin Zhao, Chang-Chun Lee, Shujiao Huang:
Neural Architecture Search for Inversion. - Matthias von Davier, Lillian Tyack, Lale Khorramdel:
Automated Scoring of Graphical Open-Ended Responses Using Artificial Neural Networks. - Nicolas Gontier, Siva Reddy, Christopher Pal:
Does entity abstraction help generative Transformers reason? - Claudio Fantinuoli, Giulia Marchesini, David Landan, Lukas Horak:
KUDO Interpreter Assist: Automated Real-time Support for Remote Interpretation. - Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza:
Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network. - Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga:
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation. - Imen Bouabdallah, Hakima Mellah:
Handling Trust in A Cloud Based Multi Agent System. - Kamil Erdayandi, Amrit Paudel, Lucas C. Cordeiro, Mustafa A. Mustafa:
Privacy-Friendly Peer-to-Peer Energy Trading: A Game Theoretical Approach. - Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. - Benjamin Decardi-Nelson, Jinfeng Liu:
Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking. - Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi:
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. - Kavya Kopparapu, Edgar A. Duéñez-Guzmán, Jayd Matyas, Alexander Sasha Vezhnevets, John P. Agapiou, Kevin R. McKee, Richard Everett, Janusz Marecki, Joel Z. Leibo, Thore Graepel:
Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria. - Diana Kim, Ahmed Elgammal, Marian Mazzone:
Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models. - Davis Arthur, Prasanna Date:
A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification. - Celina Hanouti, Hervé Le Borgne:
Learning Semantic Ambiguities for Zero-Shot Learning. - Itay Levinas, Yoram Louzoun:
Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using Graph-based Machine Learning. - Jianbang Liu, Song Bo, Benjamin Decardi-Nelson, Jinfeng Liu, Jingtao Hu, Tao Zou:
Sensitivity-based dynamic performance assessment for model predictive control with Gaussian noise. - Alexandre Boulch, Renaud Marlet:
POCO: Point Convolution for Surface Reconstruction. - Makan Zamanipour:
A Game Theoretical Analysis on the Gray-Wyner System and Generalised Common Information. - Deniz Gurevin, Chenglu Jin, Phuong Ha Nguyen, Omer Khan, Marten van Dijk:
Secure Remote Attestation with Strong Key Insulation Guarantees. - Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau:
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. - Zheng Xin Yong, Patrick D. Watson, Tiago Timponi Torrent, Oliver Czulo, Collin F. Baker:
Frame Shift Prediction. - Makan Zamanipour:
A Theoretically Novel Trade-off for Sparse Secret-key Generation. - Makan Zamanipour:
Secrecy Outage Probability: Revisited. - Makan Zamanipour:
Adversarial Robustness in Cognitive Radio Networks. - Makan Zamanipour:
Novel Information-theoretic Game-theoretical Insights to Broadcasting in Internet-of-UAVs. - Sariel Har-Peled, Eliot Wong Robson:
Sparsifying Disk Intersection Graphs for Reliable Connectivity. - Zoey Liu, Emily Prud'hommeaux:
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation. - Xinyu Fu, Valeria V. Krzhizhanovskaya, Alexey N. Yakovlev, Sergey V. Kovalchuk:
Modelling Hospital Strategies in City-Scale Ambulance Dispatching. - Sariel Har-Peled, Everett Yang:
Approximation Algorithms for Maximum Matchings in Geometric Intersection Graphs. - Giulio Rossolini, Federico Nesti, Gianluca D'Amico, Saasha Nair, Alessandro Biondi, Giorgio C. Buttazzo:
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving. - Mengda Xu, Sumitra Ganesh, Pranay Pasula:
Mixture of basis for interpretable continual learning with distribution shifts. - Yongho Kim, Yongho Choi:
FCNN: Five-point stencil CNN for solving reaction-diffusion equations. - Pieter Robberechts, Wannes Meert, Jesse Davis:
Elastic Product Quantization for Time Series. - Solomon Negussie Tesema, El-Bay Bourennane:
Multi-Grid Redundant Bounding Box Annotation for Accurate Object Detection. - Taras Rumezhak, Oles Dobosevych, Rostyslav Hryniv, Vladyslav Selotkin, Volodymyr Karpiv, Mykola Maksymenko:
Towards realistic symmetry-based completion of previously unseen point clouds. - Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi:
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs. - Zhe Shen, Takeshi Tsuchiya:
Gait Analysis for A Tilt-rotor: The Dynamic Invertible Gait. - Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
DeepMLS: Geometry-Aware Control Point Deformation. - Igor Halperin, Jiayu Liu, Xiao Zhang:
Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations. - Huanfei Zheng, Jonathon M. Smereka, Dariusz Mikluski, Yue Wang:
Bayesian Optimization Based Trustworthiness Model for Multi-robot Bounding Overwatch. - Xiangci Li, Jessica Ouyang:
Automatic Related Work Generation: A Meta Study. - Huanfei Zheng, Jonathon M. Smereka, Dariusz G. Mikulski, Stephanie Roth, Yue Wang:
Trust-based Symbolic Motion Planning for Multi-robot Bounding Overwatch. - Jaehoon Cho, Seungryong Kim, Kwanghoon Sohn:
Memory-guided Image De-raining Using Time-Lapse Data. - Haley Adams, Holly C. Gagnon, Sarah H. Creem-Regehr, Jeanine K. Stefanucci, Bobby Bodenheimer:
Stay in Touch! Shape and Shadow Influence Surface Contact in XR Displays. - Qilong Huang, Li Yang, Yaowen Qi:
Event-based EV Charging Scheduling in A Microgrid of Buildings. - Weili Wang, Chengchao Liang, Qianbin Chen, Lun Tang, Halim Yanikomeroglu:
Distributed Online Anomaly Detection for Virtualized Network Slicing Environment. - John Seon Keun Yi, Yoonwoo Kim, Sonia Chernova:
Incremental Object Grounding Using Scene Graphs. - Yueyang Liu, Adithya M. Devraj, Benjamin Van Roy, Kuang Xu:
Gaussian Imagination in Bandit Learning. - Thad A. Gleason, Eric L. Peters, John A. Evans:
A Divergence-Conforming Hybridized Discontinuous Galerkin Method for the Incompressible Magnetohydrodynamics Equations. - Dinh Dung, Van Kien Nguyen, Christoph Schwab, Jakob Zech:
Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs. - Changqing Ye, Eric T. Chung:
Numerical analysis of several FFT-based schemes for computational homogenization. - Zengyi Qin, Dawei Sun, Chuchu Fan:
SABLAS: Learning Safe Control for Black-box Dynamical Systems. - Zhaoyang Wang, Ping Lin:
A temporal multiscale method and its analysis for a system of fractional differential equations. - Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto:
Contrastive Neighborhood Alignment. - Mahmoud S. Fayed:
Network Generations and the Security Challenge in IoT Applications. - Hao Jiang, Calvin Murdock, Vamsi Krishna Ithapu:
Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization. - Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Weidong Cai:
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement. - Mrinmoy Datta, Trygve Johnsen:
Codes from symmetric polynomials. - Gustavo Silvera, Abhijat Biswas, Henny Admoni:
DReyeVR: Democratizing Virtual Reality Driving Simulation for Behavioural & Interaction Research. - Chavit Denninnart, Mohsen Amini Salehi:
SMSE: A Serverless Platform for Multimedia Cloud Systems. - Yuanpeng Li, Joel Hestness, Mohamed Elhoseiny, Liang Zhao, Kenneth Church:
Efficiently Disentangle Causal Representations. - Jaydip Sen, Sidra Mehtab, Rajdeep Sen, Abhishek Dutta, Pooja Kherwa, Saheel Ahmed, Pranay Berry, Sahil Khurana, Sonali Singh, David W. W. Cadotte, David W. Anderson, Kalum J. Ost, Racheal S. Akinbo, Oladunni A. Daramola, Bongs Lainjo:
Machine Learning: Algorithms, Models, and Applications. - Faheem Ullah, Shagun Dhingra, Xiaoyu Xia, Muhammad Ali Babar:
Evaluation of Distributed Data Processing Frameworks in Hybrid Clouds. - Mikhail Moshkov:
Decision trees for regular factorial languages. - Yang Long, Gui-Song Xia, Liangpei Zhang, Gong Cheng, Deren Li:
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling. - Ali Jadbabaie, Anuran Makur, Devavrat Shah:
Federated Optimization of Smooth Loss Functions. - György Orosz, Zsolt Szántó, Péter Berkecz, Gergo Szabó, Richárd Farkas:
HuSpaCy: an industrial-strength Hungarian natural language processing toolkit. - Rana Shahout, Roy Friedman, Ran Ben Basat:
SQUAD: Combining Sketching and Sampling Is Better than Either for Per-item Quantile Estimation. - Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang:
Balancing Generalization and Specialization in Zero-shot Learning. - Yatong Bai, Tanmay Gautam, Somayeh Sojoudi:
Efficient Global Optimization of Two-layer ReLU Networks: Quadratic-time Algorithms and Adversarial Training. - Li Zhao, Chunsheng Feng, Chen-Song Zhang, Shi Shu:
Parallel Multi-Stage Preconditioners with Adaptive Setup for the Black Oil Model. - Aditya Kumar Singh, B. Uma Shankar:
Multi-Label Classification on Remote-Sensing Images. - Faheem Ullah, Imaduddin Mohammed, Muhammad Ali Babar:
A Framework for Energy-aware Evaluation of Distributed Data Processing Platforms in Edge-Cloud Environment. - Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao:
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection. - Matan Ostrovsky, Clark W. Barrett, Guy Katz:
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks. - Lu Yang, Lingqiao Liu, Yunlong Wang, Peng Wang, Yanning Zhang:
Multi-Domain Joint Training for Person Re-Identification. - Yuanen Zhou, Zhenzhen Hu, Daqing Liu, Huixia Ben, Meng Wang:
Compact Bidirectional Transformer for Image Captioning. - Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes:
Jointly Efficient and Optimal Algorithms for Logistic Bandits. - Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo:
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? - Minghui Xu, Zongrui Zou, Ye Cheng, Qin Hu, Dongxiao Yu, Xiuzhen Cheng:
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning. - Nyaura Mwinyi Kibinda, Xiaohu Ge:
User-Centric Cooperative Transmissions-enabled Handover for Ultra-Dense Networks. - Jinchuan Tian, Jianwei Yu, Chao Weng, Yuexian Zou, Dong Yu:
Improving Mandarin End-to-End Speech Recognition with Word N-gram Language Model. - Yota Minami, Ken Kaneiwa:
Skip Vectors for RDF Data: Extraction Based on the Complexity of Feature Patterns. - Tung Minh Phung, Jan Cloos:
An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks. - Ruotong Wang, Yanqing Shen, Weiliang Zuo, Sanping Zhou, Nanning Zheng:
TransVPR: Transformer-based place recognition with multi-level attention aggregation. - Mehrdad Kiamari, Bhaskar Krishnamachari, Muhammad Naveed, Seokgu Yun:
Blizzard: a Distributed Consensus Protocol for Mobile Devices. - Philip J. Purnell:
A comparison of different methods of identifying publications related to the United Nations Sustainable Development Goals: Case Study of SDG 13: Climate Action. - Zoya Dyka, Dan Kreiser, Ievgen Kabin, Peter Langendoerfer:
Flexible FPGA ECDSA Design with a Field Multiplier Inherently Resistant against HCCA. - Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru, Charles Wachira, Isaiah Onando Mulang', Vibha Anand, Aisha Walcott-Bryant, Skyler Speakman:
Sparsity-based Feature Selection for Anomalous Subgroup Discovery. - Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Furu Wei:
Phrase-level Adversarial Example Generation for Neural Machine Translation. - Xiaofeng Yang, Fengmao Lv, Fayao Liu, Guosheng Lin:
Self-Training Vision Language BERTs with a Unified Conditional Model. - Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Katja Schladitz:
An unambiguous cloudiness index for nonwovens. - Wentu Song, Kui Cai, Tuan Thanh Nguyen:
List-decodable Codes for Single-deletion Single-substitution with List-size Two. - Ameya Dhamanaskar, Mariella Dimiccoli, Enric Corona, Albert Pumarola, Francesc Moreno-Noguer:
Enhancing Egocentric 3D Pose Estimation with Third Person Views. - Mahyar Tourchi Moghaddam, Henry Muccini, Julie Dugdale, Mikkel Baun Kjærgaard:
Designing Internet of Behaviors Systems. - Manuel Bogoya, Sven-Erik Ekström, Stefano Serra-Capizzano:
Fast Toeplitz eigenvalue computations, joining interpolation-extrapolation matrix-less algorithms and simple-loop theory. - Zhiwei Wang, Yaoyu Zhang, Yiguang Ju, Weinan E, Zhi-Qin John Xu, Tianhan Zhang:
A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics. - Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim:
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. - Maximilian Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus:
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision.