cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.FL - 形式语言与自动机理论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
eess.IV - 图像与视频处理
eess.SY - 系统和控制
hep-ex - 高能物理实验
hep-lat - 高能物理晶格
math.CT - 范畴论
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-bio.QM - 定量方法
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]AI in (and for) Games
• [cs.AI]Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence
• [cs.AI]An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020)
• [cs.AI]Design principles for a hybrid intelligence decision support system for business model validation
• [cs.AI]Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method
• [cs.AI]Solving the Workflow Satisfiability Problem using General Purpose Solvers
• [cs.AI]The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems
• [cs.AI]Using reinforcement learning to design an AI assistantfor a satisfying co-op experience
• [cs.CL]-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization
• [cs.CL]A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect
• [cs.CL]A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
• [cs.CL]A Grounded Approach to Modeling Generic Knowledge Acquisition
• [cs.CL]A Survey of Data Augmentation Approaches for NLP
• [cs.CL]AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset
• [cs.CL]Are Pre-trained Convolutions Better than Pre-trained Transformers?
• [cs.CL]Do language models learn typicality judgments from text?
• [cs.CL]Efficient Weight factorization for Multilingual Speech Recognition
• [cs.CL]Graph-based Multilingual Product Retrieval in E-commerce Search
• [cs.CL]Hone as You Read: A Practical Type of Interactive Summarization
• [cs.CL]Identity Signals in Emoji Do not Influence Perception of Factual Truth on Twitter
• [cs.CL]On the logistical difficulties and findings of Jopara Sentiment Analysis
• [cs.CL]On-the-Fly Controlled Text Generation with Experts and Anti-Experts
• [cs.CL]Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
• [cs.CL]SpeechNet: A Universal Modularized Model for Speech Processing Tasks
• [cs.CL]The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective’s Use of Emojis on Twitter
• [cs.CL]VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension
• [cs.CR]A Cybersecurity Guide for Using Fitness Devices
• [cs.CR]A DLT-based Smart Contract Architecture for Atomic and Scalable Trading
• [cs.CV]A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers
• [cs.CV]A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
• [cs.CV]Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
• [cs.CV]Adaptive Focus for Efficient Video Recognition
• [cs.CV]Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
• [cs.CV]An Intelligent Passive Food Intake Assessment System with Egocentric Cameras
• [cs.CV]Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification
• [cs.CV]Contrastive Learning for Unsupervised Image-to-Image Translation
• [cs.CV]Efficient Masked Face Recognition Method during the COVID-19 Pandemic
• [cs.CV]Exploring Instance Relations for Unsupervised Feature Embedding
• [cs.CV]Faster and Simpler Siamese Network for Single Object Tracking
• [cs.CV]Few-Shot Learning for Image Classification of Common Flora
• [cs.CV]Foreground-guided Facial Inpainting with Fidelity Preservation
• [cs.CV]Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior
• [cs.CV]Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
• [cs.CV]MOTR: End-to-End Multiple-Object Tracking with TRansformer
• [cs.CV]More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
• [cs.CV]Neural 3D Scene Compression via Model Compression
• [cs.CV]Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
• [cs.CV]Probabilistic Visual Place Recognition for Hierarchical Localization
• [cs.CV]ResMLP: Feedforward networks for image classification with data-efficient training
• [cs.CV]Salient Objects in Clutter
• [cs.CV]Self-paced Resistance Learning against Overfitting on Noisy Labels
• [cs.CV]Toward Interactive Modulation for Photo-Realistic Image Restoration
• [cs.CV]Towards Real-World Category-level Articulation Pose Estimation
• [cs.CY]Digital Voodoo Dolls
• [cs.CY]Profiling the Cybercriminal: A Systematic Review of Research
• [cs.CY]fAshIon after fashion: A Report of AI in Fashion
• [cs.DC]Autonomic Management of Power Consumption with IoT and Fog Computing
• [cs.DC]Clock Synchronization in Virtualized Distributed Real-Time Systems using IEEE 802.1AS and ACRN
• [cs.DC]Data-driven scheduling in serverless computing to reduce response time
• [cs.DC]Leader Election in Arbitrarily Connected Networks with Process Crashes and Weak Channel Reliability
• [cs.DC]Simulation and evaluation of cloud storage caching for data intensive science
• [cs.FL]Executable Interval Temporal Logic Specifications
• [cs.HC]Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors
• [cs.IR]A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation
• [cs.IR]DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
• [cs.IR]Users’ Perception of Search Engine Biases and Satisfaction
• [cs.IT]Achievable Physical-Layer Secrecy in Multi-Mode Fiber Channels using Artificial Noise
• [cs.IT]Coded Gradient Aggregation: A Tradeoff Between Communication Costs at Edge Nodes and at Helper Nodes
• [cs.IT]Communication With Adversary Identification in Byzantine Multiple Access Channels
• [cs.IT]Compound Arbitrarily Varying Channels
• [cs.IT]Content Caching for Shared Medium Networks Under Heterogeneous Users’ Behaviours
• [cs.IT]Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access
• [cs.IT]Integrated Sensing and Communication with Multi-Domain Cooperation
• [cs.IT]Leakage-Resilient Secret Sharing with Constant Share Size
• [cs.IT]Maximally Recoverable Codes with Hierarchical Locality: Constructions and Field-Size Bounds
• [cs.IT]On interpolation-based decoding of a class of maximum rank distance codes
• [cs.IT]Online Multi-Cell Coordinated MIMO Wireless Network Virtualization with Imperfect CSI
• [cs.IT]RIS-Aided Cell-Free Massive MIMO: Performance Analysis and Competitiveness
• [cs.IT]Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics
• [cs.IT]When an Energy-Efficient Scheduling is Optimal for Half-Duplex Relay Networks?
• [cs.LG]A Family of Hybrid Federated and Centralized Learning Architectures in Machine Learning
• [cs.LG]A Survey of Applied Machine Learning Techniques for Optical OFDM based Networks
• [cs.LG]ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
• [cs.LG]Adapting by Pruning: A Case Study on BERT
• [cs.LG]An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
• [cs.LG]ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection
• [cs.LG]Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
• [cs.LG]Diff-ResNets for Few-shot Learning — an ODE Perspective
• [cs.LG]Differential Privacy for Pairwise Learning: Non-convex Analysis
• [cs.LG]Energy-Based Anomaly Detection and Localization
• [cs.LG]Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities
• [cs.LG]Exact Acceleration of K-Means++ and K-Means
• [cs.LG]FVM Network to Reduce Computational Cost of CFD Simulation
• [cs.LG]FedGL: Federated Graph Learning Framework with Global Self-Supervision
• [cs.LG]GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning
• [cs.LG]Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
• [cs.LG]Hierarchical Graph Neural Networks
• [cs.LG]Laplace Matching for fast Approximate Inference in Generalized Linear Models
• [cs.LG]Learning Controllable Content Generators
• [cs.LG]Leveraging Multiple Relations for Fashion TrendForecasting Based on Social Media
• [cs.LG]Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
• [cs.LG]Network Pruning That Matters: A Case Study on Retraining Variants
• [cs.LG]Order in the Court: Explainable AI Methods Prone to Disagreement
• [cs.LG]PEMNET: A Transfer Learning-based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems
• [cs.LG]Reward prediction for representation learning and reward shaping
• [cs.LG]Text similarity analysis for evaluation of descriptive answers
• [cs.LG]Utilizing Skipped Frames in Action Repeats via Pseudo-Actions
• [cs.LG]Weather impact on daily cases of COVID-19 in Saudi Arabia using machine learning
• [cs.MA]Informational Design of Dynamic Multi-Agent System
• [cs.NE]An Extended Jump Function Benchmark for the Analysis of Randomized Search Heuristics
• [cs.NE]Semantics in Multi-objective Genetic Programming
• [cs.RO]CoDE: Collocation for Demonstration Encoding
• [cs.RO]LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping
• [cs.RO]Sobi: An Interactive Social Service Robot for Long-Term Autonomy in Open Environments
• [cs.RO]VIRAL SLAM: Tightly Coupled Camera-IMU-UWB-Lidar SLAM
• [cs.RO]iCub
• [cs.SD]SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts
• [cs.SE]Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction
• [cs.SE]Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers
• [cs.SI]An Axiom System for Feedback Centralities
• [cs.SI]Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases
• [cs.SI]Identifying critical higher-order interactions in complex networks
• [eess.IV]DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI
• [eess.IV]LINN: Lifting Inspired Invertible Neural Network for Image Denoising
• [eess.IV]NTIRE 2021 Challenge on Perceptual Image Quality Assessment
• [eess.IV]Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
• [eess.IV]Structured dataset documentation: a datasheet for CheXpert
• [eess.SY]A Multivariate Density Forecast Approach for Online Power System Security Assessment
• [eess.SY]Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees
• [hep-ex]Building a Distributed Computing System for LDMX: Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments
• [hep-lat]Deep Learning Hamiltonian Monte Carlo
• [math.CT]Lambek pregroups are Frobenius spiders in preorders
• [math.NA]Estimate the spectrum of affine dynamical systems from partial observations of a single trajectory data
• [math.OC]Neural network architectures using min plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs
• [math.ST]Circuit bases for randomisation
• [math.ST]Consistent estimation of distribution functions under increasing concave and convex stochastic ordering
• [math.ST]From Graph Centrality to Data Depth
• [physics.soc-ph]Meta-validation of bipartite network projections
• [physics.soc-ph]The Dynamics of Faculty Hiring Networks
• [q-bio.QM]Interpretable machine learning for high-dimensional trajectories of aging health
• [stat.AP]A Non-Compensatory Random Utility Choice Model based on Choquet Integral
• [stat.AP]Calibration of Spatial Forecasts from Citizen Science Urban Air Pollution Data with Sparse Recurrent Neural Networks
• [stat.AP]Primary analysis method for incomplete CD4 count data from IMPI trial and other trials with similar setting
• [stat.CO]SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-based GxE Tests in Biobank Data
• [stat.ME]An Objective Prior from a Scoring Rule
• [stat.ME]Bayesian spatio-temporal model for high-resolution short-term forecasting of precipitation fields
• [stat.ME]Double-matched matrix decomposition for multi-view data
• [stat.ME]Estimating latent linear correlations from fuzzy frequency tables
• [stat.ME]Estimating the Design Operating Characteristics in Clinical Trials with the Ordinal Scale Disease Progression Endpoint
• [stat.ME]Granger Causality: A Review and Recent Advances
• [stat.ME]Robust Estimation of Heterogeneous Treatment Effects using Electronic Health Record Data
• [stat.ME]The -value: evaluating stability with respect to distributional shifts
• [stat.ML]Geometric convergence of elliptical slice sampling
• [stat.ML]Kernel MMD Two-Sample Tests for Manifold Data
• [stat.ML]Pairwise Fairness for Ordinal Regression
• [stat.ML]Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
• [stat.ML]Use of High Dimensional Modeling for automatic variables selection: the best path algorithm
• [stat.ML]What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
·····································
• [cs.AI]AI in (and for) Games
Kostas Karpouzis, George Tsatiris
http://arxiv.org/abs/2105.03123v1
• [cs.AI]Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence
Dominik Dellermann
http://arxiv.org/abs/2105.03365v1
• [cs.AI]An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020)
Gauthier Chassang, Mogens Thomsen, Pierre Rumeau, Florence Sèdes, Alejandra Delfin
http://arxiv.org/abs/2105.03192v1
• [cs.AI]Design principles for a hybrid intelligence decision support system for business model validation
Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel, Jan Marco Leimeister
http://arxiv.org/abs/2105.03356v1
• [cs.AI]Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method
Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel, Karl Michael Popp, Jan Marco Leimeister
http://arxiv.org/abs/2105.03360v1
• [cs.AI]Solving the Workflow Satisfiability Problem using General Purpose Solvers
Daniel Karapetyan, Gregory Gutin
http://arxiv.org/abs/2105.03273v1
• [cs.AI]The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems
Dominik Dellermann, Adrian Calma, Nikolaus Lipusch, Thorsten Weber, Sascha Weigel, Philipp Ebel
http://arxiv.org/abs/2105.03354v1
• [cs.AI]Using reinforcement learning to design an AI assistantfor a satisfying co-op experience
Ajay Krishnan, Niranj Jyothish, Xun Jia
http://arxiv.org/abs/2105.03414v1
• [cs.CL]
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
http://arxiv.org/abs/2105.03417v1
• [cs.CL]A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect
Binbin Xu, Chongyang Tao, Zidu Feng, Youssef Raqui, Sylvie Ranwez
http://arxiv.org/abs/2105.03409v1
• [cs.CL]A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
http://arxiv.org/abs/2105.03011v1
• [cs.CL]A Grounded Approach to Modeling Generic Knowledge Acquisition
Deniz Beser, Joe Cecil, Marjorie Freedman, Jacob Lichtefeld, Mitch Marcus, Sarah Payne, Charles Yang
http://arxiv.org/abs/2105.03207v1
• [cs.CL]A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard Hovy
http://arxiv.org/abs/2105.03075v1
• [cs.CL]AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset
Mohamed Seghir Hadj Ameur, Hassina Aliane
http://arxiv.org/abs/2105.03143v1
• [cs.CL]Are Pre-trained Convolutions Better than Pre-trained Transformers?
Yi Tay, Mostafa Dehghani, Jai Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler
http://arxiv.org/abs/2105.03322v1
• [cs.CL]Do language models learn typicality judgments from text?
Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz
http://arxiv.org/abs/2105.02987v1
• [cs.CL]Efficient Weight factorization for Multilingual Speech Recognition
Ngoc-Quan Pham, Tuan-Nam Nguyen, Sebastian Stueker, Alexander Waibel
http://arxiv.org/abs/2105.03010v1
• [cs.CL]Graph-based Multilingual Product Retrieval in E-commerce Search
Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin
http://arxiv.org/abs/2105.02978v1
• [cs.CL]Hone as You Read: A Practical Type of Interactive Summarization
Tanner Bohn, Charles X. Ling
http://arxiv.org/abs/2105.02923v1
• [cs.CL]Identity Signals in Emoji Do not Influence Perception of Factual Truth on Twitter
Alexander Robertson, Walid Magdy, Sharon Goldwater
http://arxiv.org/abs/2105.03160v1
• [cs.CL]On the logistical difficulties and findings of Jopara Sentiment Analysis
Marvin M. Agüero-Torales, David Vilares, Antonio G. López-Herrera
http://arxiv.org/abs/2105.02947v1
• [cs.CL]On-the-Fly Controlled Text Generation with Experts and Anti-Experts
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
http://arxiv.org/abs/2105.03023v1
• [cs.CL]Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
Yuqing Xie, Yi-an Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto
http://arxiv.org/abs/2105.03048v1
• [cs.CL]SpeechNet: A Universal Modularized Model for Speech Processing Tasks
Yi-Chen Chen, Po-Han Chi, Shu-wen Yang, Kai-Wei Chang, Jheng-hao Lin, Sung-Feng Huang, Da-Rong Liu, Chi-Liang Liu, Cheng-Kuang Lee, Hung-yi Lee
http://arxiv.org/abs/2105.03070v1
• [cs.CL]The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective’s Use of Emojis on Twitter
Keenan Jones, Jason R. C. Nurse, Shujun Li
http://arxiv.org/abs/2105.03168v1
• [cs.CL]VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension
Haoyang Wen, Anthony Ferritto, Heng Ji, Radu Florian, Avirup Sil
http://arxiv.org/abs/2105.03229v1
• [cs.CR]A Cybersecurity Guide for Using Fitness Devices
Maria Bada, Basie von Solms
http://arxiv.org/abs/2105.02933v1
• [cs.CR]A DLT-based Smart Contract Architecture for Atomic and Scalable Trading
J. Kalbantner, K. Markantonakis, D. Hurley-Smith, C. Shepherd, B. Semal
http://arxiv.org/abs/2105.02937v1
• [cs.CV]A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers
Chen Li, Pingli Ma, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek
http://arxiv.org/abs/2105.03148v1
• [cs.CV]A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
Miao Hu, Yali Li, Lu Fang, Shengjin Wang
http://arxiv.org/abs/2105.03186v1
• [cs.CV]Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
Jiawei Liu, Zhipeng Huang, Kecheng Zheng, Dong Liu, Xiaoyan Sun, Zheng-Jun Zha
http://arxiv.org/abs/2105.03042v1
• [cs.CV]Adaptive Focus for Efficient Video Recognition
Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang
http://arxiv.org/abs/2105.03245v1
• [cs.CV]Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu
http://arxiv.org/abs/2105.03162v1
• [cs.CV]An Intelligent Passive Food Intake Assessment System with Egocentric Cameras
Frank Po Wen Lo, Modou L Jobarteh, Yingnan Sun, Jianing Qiu, Shuo Jiang, Gary Frost, Benny Lo
http://arxiv.org/abs/2105.03142v1
• [cs.CV]Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification
Steve Dias Da Cruz, Bertram Taetz, Oliver Wasenmüller, Thomas Stifter, Didier Stricker
http://arxiv.org/abs/2105.03164v1
• [cs.CV]Contrastive Learning for Unsupervised Image-to-Image Translation
Hanbit Lee, Jinseok Seol, Sang-goo Lee
http://arxiv.org/abs/2105.03117v1
• [cs.CV]Efficient Masked Face Recognition Method during the COVID-19 Pandemic
Walid Hariri
http://arxiv.org/abs/2105.03026v1
• [cs.CV]Exploring Instance Relations for Unsupervised Feature Embedding
Yifei Zhang, Yu Zhou, Weiping Wang
http://arxiv.org/abs/2105.03341v1
• [cs.CV]Faster and Simpler Siamese Network for Single Object Tracking
Shaokui Jiang, Baile Xu, Jian Zhao, Furao Shen
http://arxiv.org/abs/2105.03049v1
• [cs.CV]Few-Shot Learning for Image Classification of Common Flora
Joshua Ball
http://arxiv.org/abs/2105.03056v1
• [cs.CV]Foreground-guided Facial Inpainting with Fidelity Preservation
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap
http://arxiv.org/abs/2105.03342v1
• [cs.CV]Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior
Lu Liu, Robby T. Tan
http://arxiv.org/abs/2105.03089v1
• [cs.CV]Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
Parth Kothari, Brian Sifringer, Alexandre Alahi
http://arxiv.org/abs/2105.03136v1
• [cs.CV]MOTR: End-to-End Multiple-Object Tracking with TRansformer
Fangao Zeng, Bin Dong, Tiancai Wang, Cheng Chen, Xiangyu Zhang, Yichen Wei
http://arxiv.org/abs/2105.03247v1
• [cs.CV]More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
Shuang Wang, Dong Zhao, Yi Li, Chi Zhang, Yuwei Guo, Qi Zang, Biao Hou, Licheng Jiao
http://arxiv.org/abs/2105.03151v1
• [cs.CV]Neural 3D Scene Compression via Model Compression
Berivan Isik
http://arxiv.org/abs/2105.03120v1
• [cs.CV]Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Mingyuan Mao, Baochang Zhang, David Doermann, Jie Guo, Shumin Han, Yuan Feng, Xiaodi Wang, Errui Ding
http://arxiv.org/abs/2105.03139v1
• [cs.CV]Probabilistic Visual Place Recognition for Hierarchical Localization
Ming Xu, Niko Sünderhauf, Michael Milford
http://arxiv.org/abs/2105.03091v1
• [cs.CV]ResMLP: Feedforward networks for image classification with data-efficient training
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
http://arxiv.org/abs/2105.03404v1
• [cs.CV]Salient Objects in Clutter
Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao
http://arxiv.org/abs/2105.03053v1
• [cs.CV]Self-paced Resistance Learning against Overfitting on Noisy Labels
Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu
http://arxiv.org/abs/2105.03059v1
• [cs.CV]Toward Interactive Modulation for Photo-Realistic Image Restoration
Haoming Cai, Jingwen He, Qiao Yu, Chao Dong
http://arxiv.org/abs/2105.03085v1
• [cs.CV]Towards Real-World Category-level Articulation Pose Estimation
Liu Liu, Han Xue, Wenqiang Xu, Haoyuan Fu, Cewu Lu
http://arxiv.org/abs/2105.03260v1
• [cs.CY]Digital Voodoo Dolls
Marija Slavkovik, Clemens Stachl, Caroline Pitman, Jonathan Askonas
http://arxiv.org/abs/2105.02738v2
• [cs.CY]Profiling the Cybercriminal: A Systematic Review of Research
Maria Bada, Jason R. C. Nurse
http://arxiv.org/abs/2105.02930v1
• [cs.CY]fAshIon after fashion: A Report of AI in Fashion
Xingxing Zou, Waikeung Wong
http://arxiv.org/abs/2105.03050v1
• [cs.DC]Autonomic Management of Power Consumption with IoT and Fog Computing
Hugo Vaz Sampaio, Fernando Koch, Carlos Becker Westphall, Ricardo do Nascimento Boing, Rene Nolio Santa Cruz
http://arxiv.org/abs/2105.03009v1
• [cs.DC]Clock Synchronization in Virtualized Distributed Real-Time Systems using IEEE 802.1AS and ACRN
Jan Ruh, Wilfried Steiner, Gerhard Fohler
http://arxiv.org/abs/2105.03374v1
• [cs.DC]Data-driven scheduling in serverless computing to reduce response time
Bartłomiej Przybylski, Paweł Żuk, Krzysztof Rzadca
http://arxiv.org/abs/2105.03217v1
• [cs.DC]Leader Election in Arbitrarily Connected Networks with Process Crashes and Weak Channel Reliability
Carlos López, Sergio Rajsbaum, Michel Raynal, Karla Vargas
http://arxiv.org/abs/2105.02972v1
• [cs.DC]Simulation and evaluation of cloud storage caching for data intensive science
Tobias Wegner, Mario Lassnig, Peer Ueberholz, Christian Zeitnitz
http://arxiv.org/abs/2105.03201v1
• [cs.FL]Executable Interval Temporal Logic Specifications
Antonio Cau, Stefan Kuhn, James Hoey
http://arxiv.org/abs/2105.03375v1
• [cs.HC]Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors
Hong Shen, Alicia DeVos, Motahhare Eslami, Kenneth Holstein
http://arxiv.org/abs/2105.02980v1
• [cs.IR]A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation
Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu
http://arxiv.org/abs/2105.02951v1
• [cs.IR]DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
http://arxiv.org/abs/2105.03300v1
• [cs.IR]Users’ Perception of Search Engine Biases and Satisfaction
Bin Han, Chirag Shah, Daniel Saelid
http://arxiv.org/abs/2105.02898v1
• [cs.IT]Achievable Physical-Layer Secrecy in Multi-Mode Fiber Channels using Artificial Noise
Eduard Jorswieck, Andrew Lonnstrom, Karl-Ludwig Besser, Stefan Rothe, Juergen W. Czarske
http://arxiv.org/abs/2105.03137v1
• [cs.IT]Coded Gradient Aggregation: A Tradeoff Between Communication Costs at Edge Nodes and at Helper Nodes
Birenjith Sasidharan, Anoop Thomas
http://arxiv.org/abs/2105.02919v1
• [cs.IT]Communication With Adversary Identification in Byzantine Multiple Access Channels
Neha Sangwan, Mayank Bakshi, Bikash Kumar Dey, Vinod M. Prabhakaran
http://arxiv.org/abs/2105.03380v1
• [cs.IT]Compound Arbitrarily Varying Channels
Syomantak Chaudhuri, Neha Sangwan, Mayank Bakshi, Bikash Kumar Dey, Vinod M. Prabhakaran
http://arxiv.org/abs/2105.03420v1
• [cs.IT]Content Caching for Shared Medium Networks Under Heterogeneous Users’ Behaviours
Abdollah Ghaffari Sheshjavani, Ahmad Khonsari, Seyed Pooya Shariatpanahi, Masoumeh Moradian
http://arxiv.org/abs/2105.03220v1
• [cs.IT]Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access
Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder
http://arxiv.org/abs/2105.03169v1
• [cs.IT]Integrated Sensing and Communication with Multi-Domain Cooperation
Jie Yang, Xi Yang, Chao-Kai Wen, Shi Jin
http://arxiv.org/abs/2105.03065v1
• [cs.IT]Leakage-Resilient Secret Sharing with Constant Share Size
Ivan Tjuawinata, Chaoping Xing
http://arxiv.org/abs/2105.03074v1
• [cs.IT]Maximally Recoverable Codes with Hierarchical Locality: Constructions and Field-Size Bounds
D. Shivakrishna, Aaditya M. Nair, V. Lalitha
http://arxiv.org/abs/2105.03328v1
• [cs.IT]On interpolation-based decoding of a class of maximum rank distance codes
Wrya K. Kadir, Chunlei Li, Ferdinando Zullo
http://arxiv.org/abs/2105.03115v1
• [cs.IT]Online Multi-Cell Coordinated MIMO Wireless Network Virtualization with Imperfect CSI
Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau
http://arxiv.org/abs/2105.03306v1
• [cs.IT]RIS-Aided Cell-Free Massive MIMO: Performance Analysis and Competitiveness
Bayan Al-Nahhas, Mohannad Obeed, Anas Chaaban, Md. Jahangir Hossain
http://arxiv.org/abs/2105.02986v1
• [cs.IT]Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics
Minoh Jeong, Alex Dytso, Martina Cardone
http://arxiv.org/abs/2105.03015v1
• [cs.IT]When an Energy-Efficient Scheduling is Optimal for Half-Duplex Relay Networks?
Sarthak Jain, Martina Cardone, Soheil Mohajer
http://arxiv.org/abs/2105.03064v1
• [cs.LG]A Family of Hybrid Federated and Centralized Learning Architectures in Machine Learning
Ahmet M. Elbir, Sinem Coleri
http://arxiv.org/abs/2105.03288v1
• [cs.LG]A Survey of Applied Machine Learning Techniques for Optical OFDM based Networks
Hichem Mrabet, Elias Giaccoumidis, Iyad Dayoub
http://arxiv.org/abs/2105.03289v1
• [cs.LG]ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
Matthias Wess, Matvey Ivanov, Anvesh Nookala, Christoph Unger, Alexander Wendt, Axel Jantsch
http://arxiv.org/abs/2105.03176v1
• [cs.LG]Adapting by Pruning: A Case Study on BERT
Yang Gao, Nicolo Colombo, Wei Wang
http://arxiv.org/abs/2105.03343v1
• [cs.LG]An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye
http://arxiv.org/abs/2105.03092v1
• [cs.LG]ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection
Guanjie Huang, Fenglong Ma
http://arxiv.org/abs/2105.03037v1
• [cs.LG]Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
Yuan Pu, Shaochen Wang, Xin Yao, Bin Li
http://arxiv.org/abs/2105.03310v1
• [cs.LG]Diff-ResNets for Few-shot Learning — an ODE Perspective
Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi
http://arxiv.org/abs/2105.03155v1
• [cs.LG]Differential Privacy for Pairwise Learning: Non-convex Analysis
Yilin Kang, Yong Liu, Jian Li, Weiping Wang
http://arxiv.org/abs/2105.03033v1
• [cs.LG]Energy-Based Anomaly Detection and Localization
Ergin Utku Genc, Nilesh Ahuja, Ibrahima J Ndiour, Omesh Tickoo
http://arxiv.org/abs/2105.03270v1
• [cs.LG]Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities
Mehrnaz Najafi, Lifang He, Philip S. Yu
http://arxiv.org/abs/2105.03058v1
• [cs.LG]Exact Acceleration of K-Means++ and K-Means
Edward Raff
http://arxiv.org/abs/2105.02936v1
• [cs.LG]FVM Network to Reduce Computational Cost of CFD Simulation
Joongoo Jeon, Sung Joong Kim
http://arxiv.org/abs/2105.03332v1
• [cs.LG]FedGL: Federated Graph Learning Framework with Global Self-Supervision
Chuan Chen, Weibo Hu, Ziyue Xu, Zibin Zheng
http://arxiv.org/abs/2105.03170v1
• [cs.LG]GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning
Mohammad Mahdi Behzadi, Horea T. Ilies
http://arxiv.org/abs/2105.03045v1
• [cs.LG]Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
http://arxiv.org/abs/2105.03178v1
• [cs.LG]Hierarchical Graph Neural Networks
Stanislav Sobolevsky
http://arxiv.org/abs/2105.03388v1
• [cs.LG]Laplace Matching for fast Approximate Inference in Generalized Linear Models
Marius Hobbhahn, Philipp Hennig
http://arxiv.org/abs/2105.03109v1
• [cs.LG]Learning Controllable Content Generators
Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager, Julian Togelius
http://arxiv.org/abs/2105.02993v1
• [cs.LG]Leveraging Multiple Relations for Fashion TrendForecasting Based on Social Media
Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua
http://arxiv.org/abs/2105.03299v1
• [cs.LG]Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou
http://arxiv.org/abs/2105.03363v1
• [cs.LG]Network Pruning That Matters: A Case Study on Retraining Variants
Duong H. Le, Binh-Son Hua
http://arxiv.org/abs/2105.03193v1
• [cs.LG]Order in the Court: Explainable AI Methods Prone to Disagreement
Michael Neely, Stefan F. Schouten, Maurits J. R. Bleeker, Ana Lucic
http://arxiv.org/abs/2105.03287v1
• [cs.LG]PEMNET: A Transfer Learning-based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems
Luis A. Briceno-Mena, Christopher G. Arges, Jose A. Romagnoli
http://arxiv.org/abs/2105.03057v1
• [cs.LG]Reward prediction for representation learning and reward shaping
Hlynur Davíð Hlynsson, Laurenz Wiskott
http://arxiv.org/abs/2105.03172v1
• [cs.LG]Text similarity analysis for evaluation of descriptive answers
Vedant Bahel, Achamma Thomas
http://arxiv.org/abs/2105.02935v1
• [cs.LG]Utilizing Skipped Frames in Action Repeats via Pseudo-Actions
Taisei Hashimoto, Yoshimasa Tsuruoka
http://arxiv.org/abs/2105.03041v1
• [cs.LG]Weather impact on daily cases of COVID-19 in Saudi Arabia using machine learning
Abdullah Alsuhaibani, Abdulrahman Alhaidari
http://arxiv.org/abs/2105.03027v1
• [cs.MA]Informational Design of Dynamic Multi-Agent System
Tao Zhang, Quanyan Zhu
http://arxiv.org/abs/2105.03052v1
• [cs.NE]An Extended Jump Function Benchmark for the Analysis of Randomized Search Heuristics
Henry Bambury, Antoine Bultel, Benjamin Doerr
http://arxiv.org/abs/2105.03090v1
• [cs.NE]Semantics in Multi-objective Genetic Programming
Edgar Galván, Leonardo Trujillo, Fergal Stapleton
http://arxiv.org/abs/2105.02944v1
• [cs.RO]CoDE: Collocation for Demonstration Encoding
Mandy Xie, Anqi Li, Karl Van Wyk, Frank Dellaert, Byron Boots, Nathan Ratliff
http://arxiv.org/abs/2105.03019v1
• [cs.RO]LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping
Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel
http://arxiv.org/abs/2105.03265v1
• [cs.RO]Sobi: An Interactive Social Service Robot for Long-Term Autonomy in Open Environments
Marvin Stuede, Konrad Westermann, Moritz Schappler, Svenja Spindeldreier
http://arxiv.org/abs/2105.03242v1
• [cs.RO]VIRAL SLAM: Tightly Coupled Camera-IMU-UWB-Lidar SLAM
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Thien Hoang Nguyen, Lihua Xie
http://arxiv.org/abs/2105.03296v1
• [cs.RO]iCub
Lorenzo Natale, Chiara Bartolozzi, Francesco Nori, Giulio Sandini, Giorgio Metta
http://arxiv.org/abs/2105.02313v2
• [cs.SD]SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts
Zhao You, Shulin Feng, Dan Su, Dong Yu
http://arxiv.org/abs/2105.03036v1
• [cs.SE]Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction
Zeki Bilgin
http://arxiv.org/abs/2105.03131v1
• [cs.SE]Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers
Therese Fehrer, Rocío Cabrera Lozoya, Antonino Sabetta, Dario Di Nucci, Damian A. Tamburri
http://arxiv.org/abs/2105.03346v1
• [cs.SI]An Axiom System for Feedback Centralities
Tomasz Wąs, Oskar Skibski
http://arxiv.org/abs/2105.03146v1
• [cs.SI]Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases
Samyak Prajapati, Aman Swaraj, Ronak Lalwani, Akhil Narwal, Karan Verma, Ghanshyam Singh, Ashok Kumar
http://arxiv.org/abs/2105.03266v1
• [cs.SI]Identifying critical higher-order interactions in complex networks
Mehmet Emin Aktas, Thu Nguyen, Sidra Jawaid, Rakin Riza, Esra Akbas
http://arxiv.org/abs/2105.02763v2
• [eess.IV]DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI
Dongmyung Shin, Younghoon Kim, Chungseok Oh, Hongjun An, Juhyung Park, Jiye Kim, Jongho Lee
http://arxiv.org/abs/2105.03061v1
• [eess.IV]LINN: Lifting Inspired Invertible Neural Network for Image Denoising
Jun-Jie Huang, Pier Luigi Dragotti
http://arxiv.org/abs/2105.03303v1
• [eess.IV]NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sungjun Yoon, Byungyeon Kangg Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, Jose Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
http://arxiv.org/abs/2105.03072v1
• [eess.IV]Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
Yiming Bao, Jun Wang, Tong Li, Linyan Wang, Jianwei Xu, Juan Ye, Dahong Qian
http://arxiv.org/abs/2105.03068v1
• [eess.IV]Structured dataset documentation: a datasheet for CheXpert
Christian Garbin, Pranav Rajpurkar, Jeremy Irvin, Matthew P. Lungren, Oge Marques
http://arxiv.org/abs/2105.03020v1
• [eess.SY]A Multivariate Density Forecast Approach for Online Power System Security Assessment
Zichao Meng, Ye Guo, Wenjun Tang, Hongbin Sun, Wenqi Huang
http://arxiv.org/abs/2105.03047v1
• [eess.SY]Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees
Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe
http://arxiv.org/abs/2105.03397v1
• [hep-ex]Building a Distributed Computing System for LDMX: Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments
Lene Kristian Bryngemark, David Cameron, Valentina Dutta, Thomas Eichlersmith, Balazs Konya, Omar Moreno, Geoffrey Mullier, Florido Paganelli, Ruth Pöttgen, Fuzzy Rogers, Andrii Salnikov, Paul Weakliem
http://arxiv.org/abs/2105.02977v1
• [hep-lat]Deep Learning Hamiltonian Monte Carlo
Sam Foreman, Xiao-Yong Jin, James C. Osborn
http://arxiv.org/abs/2105.03418v1
• [math.CT]Lambek pregroups are Frobenius spiders in preorders
Dusko Pavlovic
http://arxiv.org/abs/2105.03038v1
• [math.NA]Estimate the spectrum of affine dynamical systems from partial observations of a single trajectory data
Jiahui Cheng, Sui Tang
http://arxiv.org/abs/2105.02945v1
• [math.OC]Neural network architectures using min plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs
Jérôme Darbon, Peter M. Dower, Tingwei Meng
http://arxiv.org/abs/2105.03336v1
• [math.ST]Circuit bases for randomisation
Elena Pesce, Fabio Rapallo, Eva Riccomagno, Henry P. Wynn
http://arxiv.org/abs/2105.03102v1
• [math.ST]Consistent estimation of distribution functions under increasing concave and convex stochastic ordering
Alexander Henzi
http://arxiv.org/abs/2105.03101v1
• [math.ST]From Graph Centrality to Data Depth
Eddie Aamari, Ery Arias-Castro, Clément Berenfeld
http://arxiv.org/abs/2105.03122v1
• [physics.soc-ph]Meta-validation of bipartite network projections
Giulio Cimini, Alessandro Carra, Luca Didomenicantonio, Andrea Zaccaria
http://arxiv.org/abs/2105.03391v1
• [physics.soc-ph]The Dynamics of Faculty Hiring Networks
Eun Lee, Aaron Clauset, Daniel B. Larremore
http://arxiv.org/abs/2105.02949v1
• [q-bio.QM]Interpretable machine learning for high-dimensional trajectories of aging health
Spencer Farrell, Arnold Mitnitski, Kenneth Rockwood, Andrew Rutenberg
http://arxiv.org/abs/2105.03410v1
• [stat.AP]A Non-Compensatory Random Utility Choice Model based on Choquet Integral
Subodh Dubey, Oded Cats, Serge Hoogendoorn, Prateek Bansal
http://arxiv.org/abs/2105.03275v1
• [stat.AP]Calibration of Spatial Forecasts from Citizen Science Urban Air Pollution Data with Sparse Recurrent Neural Networks
Matthew Bonas, Stefano Castruccio
http://arxiv.org/abs/2105.02971v1
• [stat.AP]Primary analysis method for incomplete CD4 count data from IMPI trial and other trials with similar setting
Abdul-Karim Iddrisu, Abukari Alhassan
http://arxiv.org/abs/2105.03197v1
• [stat.CO]SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-based GxE Tests in Biobank Data
Jocelyn T. Chi, Ilse C. F. Ipsen, Tzu-Hung Hsiao, Ching-Heng Lin, Li-San Wang, Wan-Ping Lee, Tzu-Pin Lu, Jung-Ying Tzeng
http://arxiv.org/abs/2105.03228v1
• [stat.ME]An Objective Prior from a Scoring Rule
Stephen G. Walker, Cristiano Villa
http://arxiv.org/abs/2105.03241v1
• [stat.ME]Bayesian spatio-temporal model for high-resolution short-term forecasting of precipitation fields
Stephen Richard Johnson, Sarah Elizabeth Heaps, Kevin James Wilson, Darren James Wilkinson
http://arxiv.org/abs/2105.03269v1
• [stat.ME]Double-matched matrix decomposition for multi-view data
Dongbang Yuan, Irina Gaynanova
http://arxiv.org/abs/2105.03396v1
• [stat.ME]Estimating latent linear correlations from fuzzy frequency tables
Antonio Calcagnì
http://arxiv.org/abs/2105.03309v1
• [stat.ME]Estimating the Design Operating Characteristics in Clinical Trials with the Ordinal Scale Disease Progression Endpoint
Shirin Golchi
http://arxiv.org/abs/2105.03022v1
• [stat.ME]Granger Causality: A Review and Recent Advances
Ali Shojaie, Emily B. Fox
http://arxiv.org/abs/2105.02675v2
• [stat.ME]Robust Estimation of Heterogeneous Treatment Effects using Electronic Health Record Data
Ruohong Li, Honglang Wang, Wanzhu Tu
http://arxiv.org/abs/2105.03325v1
• [stat.ME]The -value: evaluating stability with respect to distributional shifts
Suyash Gupta, Dominik Rothenhäusler
http://arxiv.org/abs/2105.03067v1
• [stat.ML]Geometric convergence of elliptical slice sampling
Viacheslav Natarovskii, Daniel Rudolf, Björn Sprungk
http://arxiv.org/abs/2105.03308v1
• [stat.ML]Kernel MMD Two-Sample Tests for Manifold Data
Xiuyuan Cheng, Yao Xie
http://arxiv.org/abs/2105.03425v1
• [stat.ML]Pairwise Fairness for Ordinal Regression
Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
http://arxiv.org/abs/2105.03153v1
• [stat.ML]Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
Dan Geiger, David Heckerman
http://arxiv.org/abs/2105.03248v1
• [stat.ML]Use of High Dimensional Modeling for automatic variables selection: the best path algorithm
Luigi Riso
http://arxiv.org/abs/2105.03173v1
• [stat.ML]What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
Rahul Parhi, Robert D. Nowak
http://arxiv.org/abs/2105.03361v1