astro-ph.CO - 宇宙学和天体物理学
astro-ph.IM - 仪器仪表和天体物理学方法 cs.AI - 人工智能 cs.AR - 硬件体系结构 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.CO]Encoding large scale cosmological structure with Generative Adversarial Networks
• [astro-ph.IM]Learnings from Frontier Development Lab and SpaceML — AI Accelerators for NASA and ESA
• [cs.AI]Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks
• [cs.AI]Attentive Social Recommendation: Towards User And Item Diversities
• [cs.AI]Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems
• [cs.AI]Personalized Query Rewriting in Conversational AI Agents
• [cs.AI]Predicting the Future is like Completing a Painting!
• [cs.AI]Safety Verification of Neural Network Controlled Systems
• [cs.AI]Two-Sided Fairness in Non-Personalised Recommendations
• [cs.AI]What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes
• [cs.AR]von Neumann’s missing “Second Draft”: what it should contain
• [cs.CL]A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments
• [cs.CL]Action State Update Approach to Dialogue Management
• [cs.CL]Adversarial Semantic Collisions
• [cs.CL]An Analysis of Dataset Overlap on Winograd-Style Tasks
• [cs.CL]CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling
• [cs.CL]Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning
• [cs.CL]DoLFIn: Distributions over Latent Features for Interpretability
• [cs.CL]Does Social Support Expressed in Post Titles Elicit Comments in Online Substance Use Recovery Forums?
• [cs.CL]EstBERT: A Pretrained Language-Specific BERT for Estonian
• [cs.CL]Language Through a Prism: A Spectral Approach for Multiscale Language Representations
• [cs.CL]Medical Knowledge-enriched Textual Entailment Framework
• [cs.CL]Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation
• [cs.CL]Multi-document Summarization via Deep Learning Techniques: A Survey
• [cs.CL]Natural Language Inference in Context — Investigating Contextual Reasoning over Long Texts
• [cs.CL]Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara
• [cs.CL]On the State of Social Media Data for Mental Health Research
• [cs.CL]Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS
• [cs.CL]To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?
• [cs.CL]Towards Preemptive Detection of Depression and Anxiety in Twitter
• [cs.CL]Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers
• [cs.CL]UmBERTo-MTSA @ AcCompl-It: Improving Complexity and Acceptability Prediction with Multi-task Learning on Self-Supervised Annotations
• [cs.CL]When Do You Need Billions of Words of Pretraining Data?
• [cs.CR]A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification
• [cs.CR]An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?
• [cs.CR]Mitigating Leakage in Federated Learning with Trusted Hardware
• [cs.CR]Privacy-preserving XGBoost Inference
• [cs.CR]Tokoin: A Coin-Based Accountable Access Control Scheme for Internet of Things
• [cs.CV]A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network
• [cs.CV]A low latency ASR-free end to end spoken language understanding system
• [cs.CV]AIM 2020 Challenge on Learned Image Signal Processing Pipeline
• [cs.CV]After All, Only The Last Neuron Matters: Comparing Multi-modal Fusion Functions for Scene Graph Generation
• [cs.CV]CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
• [cs.CV]Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks
• [cs.CV]CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
• [cs.CV]Conceptual Compression via Deep Structure and Texture Synthesis
• [cs.CV]Decoupled Appearance and Motion Learning for Efficient Anomaly Detection in Surveillance Video
• [cs.CV]Deep Multimodal Fusion by Channel Exchanging
• [cs.CV]Detecting Human-Object Interaction with Mixed Supervision
• [cs.CV]Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks
• [cs.CV]Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images
• [cs.CV]Human-centric Spatio-Temporal Video Grounding With Visual Transformers
• [cs.CV]Joint Super-Resolution and Rectification for Solar Cell Inspection
• [cs.CV]Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation
• [cs.CV]Learning to Communicate and Correct Pose Errors
• [cs.CV]Learning to Infer Semantic Parameters for 3D Shape Editing
• [cs.CV]MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images
• [cs.CV]MUSE: Illustrating Textual Attributes by Portrait Generation
• [cs.CV]Multi-modal Fusion for Single-Stage Continuous Gesture Recognition
• [cs.CV]Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: 1 towards automated and accessible classification of age-related macular degeneration
• [cs.CV]Multi-pooled Inception features for no-reference image quality assessment
• [cs.CV]On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration
• [cs.CV]On-Device Language Identification of Text in Images using Diacritic Characters
• [cs.CV]Ontology-driven Event Type Classification in Images
• [cs.CV]Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data
• [cs.CV]Point Cloud Registration Based on Consistency Evaluation of Rigid Transformation in Parameter Space
• [cs.CV]Predicting Landsat Reflectance with Deep Generative Fusion
• [cs.CV]Removing Brightness Bias in Rectified Gradients
• [cs.CV]Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation
• [cs.CV]STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection
• [cs.CV]SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments
• [cs.CV]Simple means Faster: Real-Time Human Motion Forecasting in Monocular First Person Videos on CPU
• [cs.CV]Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast
• [cs.CV]Stage-wise Channel Pruning for Model Compression
• [cs.CV]Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition
• [cs.CV]Understanding the hand-gestures using Convolutional Neural Networks and Generative Adversial Networks
• [cs.CV]Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
• [cs.CY]An Empirical Evaluation of Bluetooth-based Decentralized Contact Tracing in Crowds
• [cs.CY]Fair Machine Learning Under Partial Compliance
• [cs.CY]Network Impacts of Automated Mobility-on-Demand: A Macroscopic Fundamental Diagram Perspective
• [cs.CY]Pandemic Policymaking: Learning the Lower Dimensional Manifold of Congressional Responsiveness
• [cs.DB]Batchwise Probabilistic Incremental Data Cleaning
• [cs.DC]ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing
• [cs.DC]Benchmarking micro-core architectures for detecting disasters at the edge
• [cs.DC]Distributed Distance Approximation
• [cs.DC]Exploring the acceleration of Nekbone on reconfigurable architectures
• [cs.DC]Probabilistic Indistinguishability and the Quality of Validity in Byzantine Agreement
• [cs.DC]Scheduling Bag-of-Tasks in Clouds using Spot and Burstable Virtual Machines
• [cs.DC]Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning
• [cs.DC]Windowed Backoff Algorithms for WiFi: Theory and Performance under Batched Arrivals
• [cs.HC]OnionBot: A System for Collaborative Computational Cooking
• [cs.IR]Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
• [cs.IR]RMITB at TREC COVID 2020
• [cs.IR]TRSM-RS: A Movie Recommender System Based on Users’ Gender and New Weighted Similarity Measure
• [cs.IR]The improved model of user similarity coefficients computation For recommendation systems
• [cs.IT]Diamond Message Set Groupcasting: From an Inner Bound for the DM Broadcast Channel to the Capacity Region of the Combination Network
• [cs.IT]Estimating Total Correlation with Mutual Information Bounds
• [cs.IT]Fairness-Oriented User Association in HetNets Using Bargaining Game Theory
• [cs.IT]Federated Learning via Intelligent Reflecting Surface
• [cs.IT]Linear Codes from Incidence Matrices of Unit Graphs
• [cs.IT]Neural Networks Optimally Compress the Sawbridge
• [cs.IT]On the Downlink Performance of RSMA-based UAV Communications
• [cs.IT]Optimal Locally Repairable Codes: An Improved Bound and Constructions
• [cs.IT]Rate Splitting, Superposition Coding and Binning for Groupcasting over the Broadcast Channel: A General Framework
• [cs.IT]Selectively Precoded Polar Codes
• [cs.LG]A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning
• [cs.LG]A step towards neural genome assembly
• [cs.LG]AI Poincaré: Machine Learning Conservation Laws from Trajectories
• [cs.LG]ATCN: Agile Temporal Convolutional Networks for Processing of Time Series on Edge
• [cs.LG]Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment
• [cs.LG]Biomedical Information Extraction for Disease Gene Prioritization
• [cs.LG]Building an Automated and Self-Aware Anomaly Detection System
• [cs.LG]Continual Learning of Control Primitives: Skill Discovery via Reset-Games
• [cs.LG]Deep Reinforcement Learning for Navigation in AAA Video Games
• [cs.LG]Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network
• [cs.LG]Dynamic Embeddings for Interaction Prediction
• [cs.LG]Efficient Algorithms for Stochastic Repeated Second-price Auctions
• [cs.LG]Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
• [cs.LG]Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?
• [cs.LG]Expressiveness of Neural Networks Having Width Equal or Below the Input Dimension
• [cs.LG]Feedback-Based Dynamic Feature Selection for Constrained Continuous Data Acquisition
• [cs.LG]Graph Kernels: State-of-the-Art and Future Challenges
• [cs.LG]Higher-Order Spectral Clustering of Directed Graphs
• [cs.LG]Improving Neural Network Training in Low Dimensional Random Bases
• [cs.LG]Lifelong Learning Without a Task Oracle
• [cs.LG]Longitudinal modeling of MS patient trajectories improves predictions of disability progression
• [cs.LG]Margins are Insufficient for Explaining Gradient Boosting
• [cs.LG]Neural Latent Dependency Model for Sequence Labeling
• [cs.LG]Neural Network Compression Via Sparse Optimization
• [cs.LG]Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation
• [cs.LG]On Estimating the Training Cost of Conversational Recommendation Systems
• [cs.LG]Real-time Locational Marginal Price Forecasting Using Generative Adversarial Network
• [cs.LG]Relation-weighted link prediction for disease gene identification
• [cs.LG]Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
• [cs.LG]Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering
• [cs.LG]Self-supervised Graph Representation Learning via Bootstrapping
• [cs.LG]Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis
• [cs.LG]Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients
• [cs.LG]Topological Regularization via Persistence-Sensitive Optimization
• [cs.LG]Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
• [cs.LG]Towards a Better Global Loss Landscape of GANs
• [cs.LG]TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling
• [cs.LG]Two-stage Training of Graph Neural Networks for Graph Classification
• [cs.LG]Unbalanced Optimal Transport using Integral Probability Metric Regularization
• [cs.LG]f-IRL: Inverse Reinforcement Learning via State Marginal Matching
• [cs.NE]A Soft Computing Approach for Selecting and Combining Spectral Bands
• [cs.NE]A weighted-sum method for solving the bi-objective traveling thief problem
• [cs.NE]Evolving Nano Particle Cancer Treatments with Multiple Particle Types
• [cs.NE]Qualities, challenges and future of genetic algorithms: a literature review
• [cs.PF]Resource Allocation in One-dimensional Distributed Service Networks with Applications
• [cs.PL]MotePy: A domain specific language for low-overhead machine learning and data processing
• [cs.RO]AES: Autonomous Excavator System for Real-World and Hazardous Environments
• [cs.RO]An Efficient Closed-Form Method for Optimal Hybrid Force-Velocity Control
• [cs.RO]An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control
• [cs.RO]Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
• [cs.RO]Bimanual Regrasping for Suture Needles using Reinforcement Learning for Rapid Motion Planning
• [cs.RO]CircuitBot: Learning to Survive with Robotic Circuit Drawing
• [cs.RO]Computational Design and Fabrication of Corrugated Mechanisms from Behavioral Specifications
• [cs.RO]Coordinated Aerial-Ground Robot Exploration via Monte-Carlo View Quality Rendering
• [cs.RO]DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
• [cs.RO]Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
• [cs.RO]Encoding Defensive Driving as a Dynamic Nash Game
• [cs.RO]Frontier-based Automatic-differentiable Information Gain Measure for Robotic Exploration of Unknown 3D Environments
• [cs.RO]Generation of Human-aware Navigation Maps using Graph Neural Networks
• [cs.RO]Grounding Implicit Goal Description for Robot Indoor Navigation Via Recursive Belief Update
• [cs.RO]Impedance Optimization for Uncertain Contact Interactions Through Risk Sensitive Optimal Control
• [cs.RO]Inverse Kinematics as Low-Rank Euclidean Distance Matrix Completion
• [cs.RO]Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation
• [cs.RO]Learning Task Space Actions for Bipedal Locomotion
• [cs.RO]Model Predictive Control for Human-Centred Lower Limb Robotic Assistance
• [cs.RO]Model-based Reinforcement Learning from Signal Temporal Logic Specifications
• [cs.RO]Modeling Trust in Human-Robot Interaction: A Survey
• [cs.RO]Multi-Agent Active Search using Realistic Depth-Aware Noise Model
• [cs.RO]Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs
• [cs.RO]On-line force capability evaluation based on efficient polytope vertex search
• [cs.RO]Planning under Uncertainty to Goal Distributions
• [cs.RO]ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes
• [cs.RO]Robotic Exploration of Unknown 2D Environment Using a Frontier-based Automatic-Differentiable Information Gain Measure
• [cs.RO]Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables
• [cs.RO]Safe Trajectory Planning Using Reinforcement Learning for Self Driving
• [cs.RO]Spring-Rod System Identification via Differentiable Physics Engine
• [cs.RO]StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories
• [cs.RO]Towards One-Dollar Robots: An Integrated Design and Fabrication Strategy for Electromechanical Systems
• [cs.RO]Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning
• [cs.RO]Untangling Dense Knots by Learning Task-Relevant Keypoints
• [cs.RO]VFH+ based shared control for remotely operated mobile robots
• [cs.SD]Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis
• [cs.SD]Speaker De-identification System using Autoencodersand Adversarial Training
• [cs.SI]Competitive Influence Propagation and Fake News Mitigation in the Presence of Strong User Bias
• [cs.SI]F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
• [cs.SI]Scoring Popularity in GitHub
• [cs.SI]Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity
• [econ.EM]Testing and Dating Structural Changes in Copula-based Dependence Measures
• [eess.AS]Generalized LSTM-based End-to-End Text-Independent Speaker Verification
• [eess.IV]AIM 2020 Challenge on Rendering Realistic Bokeh
• [eess.IV]Classification of optics-free images with deep neural networks
• [eess.IV]Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
• [eess.IV]Noise2Stack: Improving Image Restoration by Learning from Volumetric Data
• [eess.IV]Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19
• [eess.SP]Blind SNR Estimation and Nonparametric Channel Denoising in Multi-Antenna mmWave Systems
• [eess.SY]Correlated Age-of-Information Bandits
• [eess.SY]Dynamic Relay Selection and Power Allocation for Minimizing Outage Probability: A Hierarchical Reinforcement Learning Approach
• [eess.SY]Thompson sampling for linear quadratic mean-field teams
• [math.NA]The Virtual Goniometer: A new method for measuring angles on 3D models of fragmentary bone and lithics
• [math.OC]Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
• [math.PR]Strong Law of Large Numbers for Functionals of Random Fields With Unboundedly Increasing Covariances
• [math.ST]A Statistical Perspective on Coreset Density Estimation
• [math.ST]Dimension-agnostic inference
• [math.ST]Efficient Interpolation of Density Estimators
• [math.ST]Group testing and local search: is there a computational-statistical gap?
• [math.ST]Hypothesis testing with active information
• [math.ST]Perturbation of the expected Minkowski functional for weakly non-Gaussian isotropic fields on a bounded domain
• [math.ST]Robust Batch Policy Learning in Markov Decision Processes
• [math.ST]Statistical analysis for stationary time series at extreme levels: new estimators for the limiting cluster size distribution
• [physics.ao-ph]Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions
• [physics.med-ph]Deep correction of breathing-related artifacts in MR-thermometry
• [physics.med-ph]Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging
• [physics.med-ph]Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern
• [physics.soc-ph]Traffic congestion and travel time prediction based on historical congestion maps and identification of consensual days
• [q-bio.QM]AC-DC: Amplification Curve Diagnostics for Covid-19 Group Testing
• [quant-ph]Estimating expectation values using approximate quantum states
• [quant-ph]Principles of Quantum Communication Theory: A Modern Approach
• [stat.AP]Estimating Risk-Adjusted Hospital Performance
• [stat.AP]Forecasting asylum applications in the European Union with machine learning and data at scale
• [stat.AP]Statistical evaluation of in-vivo bioassays in regulatory toxicology considering males and females
• [stat.ME]A liberal type I error rate for studies in precision medicine
• [stat.ME]Gaussian Graphical Regression Models with High Dimensional Responses and Covariates
• [stat.ME]Handling time-dependent exposures and confounders when estimating attributable fractions — bridging the gap between multistate and counterfactual modeling
• [stat.ME]Identifying effects of multiple treatments in the presence of unmeasured confounding
• [stat.ME]Reducing bias in difference-in-differences models using entropy balancing
• [stat.ME]Rerandomization in stratified randomized experiments
• [stat.ME]Tracking change-points in multivariate extremes
• [stat.ME]Using flexible noise models to avoid noise model misspecification in inference of differential equation time series models
• [stat.ML]Community Detection by Principal Components Clustering Methods
• [stat.ML]Deep Bayesian Nonparametric Factor Analysis
• [stat.ML]Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
• [stat.ML]Sparse within Sparse Gaussian Processes using Neighbor Information
• [stat.ML]Supervised PCA: A Multiobjective Approach
• [stat.ML]Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning
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• [astro-ph.CO]Encoding large scale cosmological structure with Generative Adversarial Networks
Marion Ullmo, Aurélien Decelle, Nabila Aghanim
http://arxiv.org/abs/2011.05244v1
• [astro-ph.IM]Learnings from Frontier Development Lab and SpaceML — AI Accelerators for NASA and ESA
Siddha Ganju, Anirudh Koul, Alexander Lavin, Josh Veitch-Michaelis, Meher Kasam, James Parr
http://arxiv.org/abs/2011.04776v1
• [cs.AI]Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks
Alex Mathai, Shreya Khare, Srikanth Tamilselvam, Senthil Mani
http://arxiv.org/abs/2011.03901v2
• [cs.AI]Attentive Social Recommendation: Towards User And Item Diversities
Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan
http://arxiv.org/abs/2011.04797v1
• [cs.AI]Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems
Jiajing Ling, Kushagra Chandak, Akshat Kumar
http://arxiv.org/abs/2011.04405v2
• [cs.AI]Personalized Query Rewriting in Conversational AI Agents
Alireza Roshan-Ghias, Clint Solomon Mathialagan, Pragaash Ponnusamy, Lambert Mathias, Chenlei Guo
http://arxiv.org/abs/2011.04748v1
• [cs.AI]Predicting the Future is like Completing a Painting!
Nadir Maaroufi, Mehdi Najib, Mohamed Bakhouya
http://arxiv.org/abs/2011.04750v1
• [cs.AI]Safety Verification of Neural Network Controlled Systems
Arthur Clavière, Eric Asselin, Christophe Garion, Claire Pagetti
http://arxiv.org/abs/2011.05174v1
• [cs.AI]Two-Sided Fairness in Non-Personalised Recommendations
Aadi Swadipto Mondal, Rakesh Bal, Sayan Sinha, Gourab K Patro
http://arxiv.org/abs/2011.05287v1
• [cs.AI]What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes
Herman Yau, Chris Russell, Simon Hadfield
http://arxiv.org/abs/2011.05064v1
• [cs.AR]von Neumann’s missing “Second Draft”: what it should contain
János Végh
http://arxiv.org/abs/2011.04727v1
• [cs.CL]A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments
Ayesha Enayet, Gita Sukthankar
http://arxiv.org/abs/2011.04867v1
• [cs.CL]Action State Update Approach to Dialogue Management
Svetlana Stoyanchev, Simon Keizer, Rama Doddipatla
http://arxiv.org/abs/2011.04637v2
• [cs.CL]Adversarial Semantic Collisions
Congzheng Song, Alexander M. Rush, Vitaly Shmatikov
http://arxiv.org/abs/2011.04743v1
• [cs.CL]An Analysis of Dataset Overlap on Winograd-Style Tasks
Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
http://arxiv.org/abs/2011.04767v1
• [cs.CL]CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling
Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu
http://arxiv.org/abs/2011.04732v1
• [cs.CL]Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning
Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna
http://arxiv.org/abs/2011.04883v1
• [cs.CL]DoLFIn: Distributions over Latent Features for Interpretability
Phong Le, Willem Zuidema
http://arxiv.org/abs/2011.05295v1
• [cs.CL]Does Social Support Expressed in Post Titles Elicit Comments in Online Substance Use Recovery Forums?
Anietie Andy, Sharath Guntuku
http://arxiv.org/abs/2011.05103v1
• [cs.CL]EstBERT: A Pretrained Language-Specific BERT for Estonian
Hasan Tanvir, Claudia Kittask, Kairit Sirts
http://arxiv.org/abs/2011.04784v1
• [cs.CL]Language Through a Prism: A Spectral Approach for Multiscale Language Representations
Alex Tamkin, Dan Jurafsky, Noah Goodman
http://arxiv.org/abs/2011.04823v1
• [cs.CL]Medical Knowledge-enriched Textual Entailment Framework
Shweta Yadav, Vishal Pallagani, Amit Sheth
http://arxiv.org/abs/2011.05257v1
• [cs.CL]Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation
Elisa Gugliotta, Marco Dinarelli, Olivier Kraif
http://arxiv.org/abs/2011.05152v1
• [cs.CL]Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng
http://arxiv.org/abs/2011.04843v1
• [cs.CL]Natural Language Inference in Context — Investigating Contextual Reasoning over Long Texts
Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang
http://arxiv.org/abs/2011.04864v1
• [cs.CL]Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara
Allahsera Auguste Tapo, Bakary Coulibaly, Sébastien Diarra, Christopher Homan, Julia Kreutzer, Sarah Luger, Arthur Nagashima, Marcos Zampieri, Michael Leventhal
http://arxiv.org/abs/2011.05284v1
• [cs.CL]On the State of Social Media Data for Mental Health Research
Keith Harrigian, Carlos Aguirre, Mark Dredze
http://arxiv.org/abs/2011.05233v1
• [cs.CL]Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS
Katsuhito Sudoh, Takatomo Kano, Sashi Novitasari, Tomoya Yanagita, Sakriani Sakti, Satoshi Nakamura
http://arxiv.org/abs/2011.04845v1
• [cs.CL]To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?
Quynh Do, Judith Gaspers, Tobias Roding, Melanie Bradford
http://arxiv.org/abs/2011.05007v1
• [cs.CL]Towards Preemptive Detection of Depression and Anxiety in Twitter
David Owen, Jose Camacho Collados, Luis Espinosa-Anke
http://arxiv.org/abs/2011.05249v1
• [cs.CL]Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers
Ife Adebara, El Moatez Billah Nagoudi, Muhammad Abdul Mageed
http://arxiv.org/abs/2011.05037v1
• [cs.CL]UmBERTo-MTSA @ AcCompl-It: Improving Complexity and Acceptability Prediction with Multi-task Learning on Self-Supervised Annotations
Gabriele Sarti
http://arxiv.org/abs/2011.05197v1
• [cs.CL]When Do You Need Billions of Words of Pretraining Data?
Yian Zhang, Alex Warstadt, Haau-Sing Li, Samuel R. Bowman
http://arxiv.org/abs/2011.04946v1
• [cs.CR]A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification
Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach
http://arxiv.org/abs/2011.05296v1
• [cs.CR]An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?
Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramer
http://arxiv.org/abs/2011.05315v1
• [cs.CR]Mitigating Leakage in Federated Learning with Trusted Hardware
Javad Ghareh Chamani, Dimitrios Papadopoulos
http://arxiv.org/abs/2011.04948v1
• [cs.CR]Privacy-preserving XGBoost Inference
Xianrui Meng, Joan Feignebaum
http://arxiv.org/abs/2011.04789v1
• [cs.CR]Tokoin: A Coin-Based Accountable Access Control Scheme for Internet of Things
Chunchi Liu, Minghui Xu, Hechuan Guo, Xiuzhen Cheng, Yinhao Xiao, Dongxiao Yu, Bei Gong, Arkady Yerukhimovich, Shengling Wang, Weifeng Lv
http://arxiv.org/abs/2011.04919v1
• [cs.CV]A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network
Muhammad Mohsin Kabir, Abu Quwsar Ohi, M. F. Mridha
http://arxiv.org/abs/2011.05151v1
• [cs.CV]A low latency ASR-free end to end spoken language understanding system
Mohamed Mhiri, Samuel Myer, Vikrant Singh Tomar
http://arxiv.org/abs/2011.04884v1
• [cs.CV]AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tan, Bingxin Hou
http://arxiv.org/abs/2011.04994v1
• [cs.CV]After All, Only The Last Neuron Matters: Comparing Multi-modal Fusion Functions for Scene Graph Generation
Mohamed Karim Belaid
http://arxiv.org/abs/2011.04779v1
• [cs.CV]CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
Ramin Nabati, Hairong Qi
http://arxiv.org/abs/2011.04841v1
• [cs.CV]Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks
Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
http://arxiv.org/abs/2011.05243v1
• [cs.CV]CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Qijian Zhang, Runmin Cong, Junhui Hou, Chongyi Li, Yao Zhao
http://arxiv.org/abs/2011.04887v1
• [cs.CV]Conceptual Compression via Deep Structure and Texture Synthesis
Jianhui Chang, Zhenghui Zhao, Chuanmin Jia, Shiqi Wang, Lingbo Yang, Jian Zhang, Siwei Ma
http://arxiv.org/abs/2011.04976v1
• [cs.CV]Decoupled Appearance and Motion Learning for Efficient Anomaly Detection in Surveillance Video
Bo Li, Sam Leroux, Pieter Simoens
http://arxiv.org/abs/2011.05054v1
• [cs.CV]Deep Multimodal Fusion by Channel Exchanging
Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang
http://arxiv.org/abs/2011.05005v1
• [cs.CV]Detecting Human-Object Interaction with Mixed Supervision
Suresh Kirthi Kumaraswamy, Miaojing Shi, Ewa Kijak
http://arxiv.org/abs/2011.04971v1
• [cs.CV]Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks
Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers, Abdallah Shami
http://arxiv.org/abs/2011.04121v2
• [cs.CV]Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images
Shenyi Pan, Shuxian Fan, Samuel W. K. Wong, James V. Zidek, Helge Rhodin
http://arxiv.org/abs/2011.04844v1
• [cs.CV]Human-centric Spatio-Temporal Video Grounding With Visual Transformers
Zongheng Tang, Yue Liao, Si Liu, Guanbin Li, Xiaojie Jin, Hongxu Jiang, Qian Yu, Dong Xu
http://arxiv.org/abs/2011.05049v1
• [cs.CV]Joint Super-Resolution and Rectification for Solar Cell Inspection
Mathis Hoffmann, Thomas Köhler, Bernd Doll, Frank Schebesch, Florian Talkenberg, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Vincent Christlein
http://arxiv.org/abs/2011.05003v1
• [cs.CV]Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation
Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani
http://arxiv.org/abs/2011.04837v1
• [cs.CV]Learning to Communicate and Correct Pose Errors
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
http://arxiv.org/abs/2011.05289v1
• [cs.CV]Learning to Infer Semantic Parameters for 3D Shape Editing
Fangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz, Thomas Funkhouser
http://arxiv.org/abs/2011.04755v1
• [cs.CV]MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images
Lei Ding, Kai Zheng, Dong Lin, Yuxing Chen, Bing Liu, Jiansheng Li, Lorenzo Bruzzone
http://arxiv.org/abs/2011.05088v1
• [cs.CV]MUSE: Illustrating Textual Attributes by Portrait Generation
Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi
http://arxiv.org/abs/2011.04761v1
• [cs.CV]Multi-modal Fusion for Single-Stage Continuous Gesture Recognition
Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/2011.04945v1
• [cs.CV]Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: 1 towards automated and accessible classification of age-related macular degeneration
Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally, Caroline C. W. Klaver, Daniel T. Luttikhuizen, Marcus H. Colyer, Catherine A. Cukras, Henry E. Wiley, M. Teresa Magone, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu
http://arxiv.org/abs/2011.05142v1
• [cs.CV]Multi-pooled Inception features for no-reference image quality assessment
Domonkos Varga
http://arxiv.org/abs/2011.05139v1
• [cs.CV]On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration
Jiaqi Yang, Zhiqiang Huang, Siwen Quan, Qian Zhang, Yanning Zhang, Zhiguo Cao
http://arxiv.org/abs/2011.04862v1
• [cs.CV]On-Device Language Identification of Text in Images using Diacritic Characters
Shubham Vatsal, Nikhil Arora, Gopi Ramena, Sukumar Moharana, Dhruval Jain, Naresh Purre, Rachit S Munjal
http://arxiv.org/abs/2011.05108v1
• [cs.CV]Ontology-driven Event Type Classification in Images
Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, Ralph Ewerth
http://arxiv.org/abs/2011.04714v1
• [cs.CV]Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data
Birgitta Dresp-Langley, John M. Wandeto
http://arxiv.org/abs/2011.05209v1
• [cs.CV]Point Cloud Registration Based on Consistency Evaluation of Rigid Transformation in Parameter Space
Masaki Yoshii, Ikuko Shimizu
http://arxiv.org/abs/2011.05014v1
• [cs.CV]Predicting Landsat Reflectance with Deep Generative Fusion
Shahine Bouabid, Maxim Chernetskiy, Maxime Rischard, Jevgenij Gamper
http://arxiv.org/abs/2011.04762v1
• [cs.CV]Removing Brightness Bias in Rectified Gradients
Lennart Brocki, Neo Christopher Chung
http://arxiv.org/abs/2011.05002v1
• [cs.CV]Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez
http://arxiv.org/abs/2011.05010v1
• [cs.CV]STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection
Yichao Cao, Qingfei Tang, Xiaobo Lu, Fan Li, Jinde Cao
http://arxiv.org/abs/2011.04863v1
• [cs.CV]SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments
Jaehoon Choi, Dongki Jung, Yonghan Lee, Deokhwa Kim, Dinesh Manocha, Donghwan Lee
http://arxiv.org/abs/2011.04977v1
• [cs.CV]Simple means Faster: Real-Time Human Motion Forecasting in Monocular First Person Videos on CPU
Junaid Ahmed Ansari, Brojeshwar Bhowmick
http://arxiv.org/abs/2011.04943v1
• [cs.CV]Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast
Srikanth Malla, Chiho Choi, Behzad Dariush
http://arxiv.org/abs/2011.04853v1
• [cs.CV]Stage-wise Channel Pruning for Model Compression
Mingyang Zhang, Linlin Ou
http://arxiv.org/abs/2011.04908v1
• [cs.CV]Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition
Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger
http://arxiv.org/abs/2011.05227v1
• [cs.CV]Understanding the hand-gestures using Convolutional Neural Networks and Generative Adversial Networks
Arpita Vats
http://arxiv.org/abs/2011.04860v1
• [cs.CV]Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He
http://arxiv.org/abs/2011.04965v1
• [cs.CY]An Empirical Evaluation of Bluetooth-based Decentralized Contact Tracing in Crowds
Hsu-Chun Hsiao, Chun-Ying Huang, Bing-Kai Hong, Shin-Ming Cheng, Hsin-Yuan Hu, Chia-Chien Wu, Jian-Sin Lee, Shih-Hong Wang, Wei Jeng
http://arxiv.org/abs/2011.04322v1
• [cs.CY]Fair Machine Learning Under Partial Compliance
Jessica Dai, Sina Fazelpour, Zachary C. Lipton
http://arxiv.org/abs/2011.03654v2
• [cs.CY]Network Impacts of Automated Mobility-on-Demand: A Macroscopic Fundamental Diagram Perspective
Simon Oh, Antonis F. Lentzakis, Ravi Seshadri, Moshe Ben-Akiva
http://arxiv.org/abs/2011.05092v1
• [cs.CY]Pandemic Policymaking: Learning the Lower Dimensional Manifold of Congressional Responsiveness
Philip D. Waggoner
http://arxiv.org/abs/2011.04763v1
• [cs.DB]Batchwise Probabilistic Incremental Data Cleaning
Paulo H. Oliveira, Daniel S. Kaster, Caetano Traina-Jr., Ihab F. Ilyas
http://arxiv.org/abs/2011.04730v1
• [cs.DC]ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing
Cheng Tan, Chenhao Xie, Andres Marquez, Antonino Tumeo, Kevin Barker, Ang Li
http://arxiv.org/abs/2011.04931v1
• [cs.DC]Benchmarking micro-core architectures for detecting disasters at the edge
Maurice Jamieson, Nick Brown
http://arxiv.org/abs/2011.04983v1
• [cs.DC]Distributed Distance Approximation
Bertie Ancona, Keren Censor-Hillel, Mina Dalirrooyfard, Yuval Efron, Virginia Vassilevska Williams
http://arxiv.org/abs/2011.05066v1
• [cs.DC]Exploring the acceleration of Nekbone on reconfigurable architectures
Nick Brown
http://arxiv.org/abs/2011.04981v1
• [cs.DC]Probabilistic Indistinguishability and the Quality of Validity in Byzantine Agreement
Guy Goren, Yoram Moses, Alexander Spiegelman
http://arxiv.org/abs/2011.04719v1
• [cs.DC]Scheduling Bag-of-Tasks in Clouds using Spot and Burstable Virtual Machines
Luan Teylo, Luciana Arantes, Pierre Sens, Lúcia Maria de A. Drummond
http://arxiv.org/abs/2011.05042v1
• [cs.DC]Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning
Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
http://arxiv.org/abs/2011.03649v2
• [cs.DC]Windowed Backoff Algorithms for WiFi: Theory and Performance under Batched Arrivals
William C. Anderton, Trisha Chakraborty, Maxwell Young
http://arxiv.org/abs/2011.04902v1
• [cs.HC]OnionBot: A System for Collaborative Computational Cooking
Bennet Cobley, David Boyle
http://arxiv.org/abs/2011.05039v1
• [cs.IR]Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
Riku Togashi, Mayu Otani, Shin’ichi Satoh
http://arxiv.org/abs/2011.05061v1
• [cs.IR]RMITB at TREC COVID 2020
Rodger Benham, Alistair Moffat, J. Shane Culpepper
http://arxiv.org/abs/2011.04830v1
• [cs.IR]TRSM-RS: A Movie Recommender System Based on Users’ Gender and New Weighted Similarity Measure
Mostafa Khalaji
http://arxiv.org/abs/2011.05119v1
• [cs.IR]The improved model of user similarity coefficients computation For recommendation systems
Yelyzaveta Meleshko, Oleksandr Drieiev, Anas Mahmoud Al-Oraiqat
http://arxiv.org/abs/2011.05057v1
• [cs.IT]Diamond Message Set Groupcasting: From an Inner Bound for the DM Broadcast Channel to the Capacity Region of the Combination Network
Mohamed Salman, Mahesh K. Varanasi
http://arxiv.org/abs/2011.04760v1
• [cs.IT]Estimating Total Correlation with Mutual Information Bounds
Pengyu Cheng, Weituo Hao, Lawrence Carin
http://arxiv.org/abs/2011.04794v1
• [cs.IT]Fairness-Oriented User Association in HetNets Using Bargaining Game Theory
Ehsan Sadeghi, Hamid Behroozi, Stefano Rini
http://arxiv.org/abs/2011.04801v1
• [cs.IT]Federated Learning via Intelligent Reflecting Surface
Zhibin Wang, Jiahang Qiu, Yong Zhou, Yuanming Shi, Liqun Fu, Wei Chen, Khaled B. Lataief
http://arxiv.org/abs/2011.05051v1
• [cs.IT]Linear Codes from Incidence Matrices of Unit Graphs
N. Annamalai, C Durairajan
http://arxiv.org/abs/2011.04914v1
• [cs.IT]Neural Networks Optimally Compress the Sawbridge
Aaron B. Wagner, Johannes Ballé
http://arxiv.org/abs/2011.05065v1
• [cs.IT]On the Downlink Performance of RSMA-based UAV Communications
Wael Jaafar, Shimaa Naser, Sami Muhaidat, Paschalis C. Sofotasios, Halim Yanikomeroglu
http://arxiv.org/abs/2011.05019v1
• [cs.IT]Optimal Locally Repairable Codes: An Improved Bound and Constructions
Han Cai, Cuiling Fan, Ying Miao, Moshe Schwartz, Xiaohu Tang
http://arxiv.org/abs/2011.04966v1
• [cs.IT]Rate Splitting, Superposition Coding and Binning for Groupcasting over the Broadcast Channel: A General Framework
Henry Romero, Mahesh K. Varanasi
http://arxiv.org/abs/2011.04745v1
• [cs.IT]Selectively Precoded Polar Codes
Samir Kumar Mishra, KwangChul Kim
http://arxiv.org/abs/2011.04930v1
• [cs.LG]A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
http://arxiv.org/abs/2011.05217v1
• [cs.LG]A step towards neural genome assembly
Lovro Vrček, Petar Veličković, Mile Šikić
http://arxiv.org/abs/2011.05013v1
• [cs.LG]AI Poincaré: Machine Learning Conservation Laws from Trajectories
Ziming Liu, Max Tegmark
http://arxiv.org/abs/2011.04698v1
• [cs.LG]ATCN: Agile Temporal Convolutional Networks for Processing of Time Series on Edge
Mohammadreza Baharani, Steven Furgurson, Hamed Tabkhi
http://arxiv.org/abs/2011.05260v1
• [cs.LG]Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment
Govinda M. Kamath, Tavor Z. Baharav, Ilan Shomorony
http://arxiv.org/abs/2011.04832v1
• [cs.LG]Biomedical Information Extraction for Disease Gene Prioritization
Jupinder Parmar, William Koehler, Martin Bringmann, Katharina Sophia Volz, Berk Kapicioglu
http://arxiv.org/abs/2011.05188v1
• [cs.LG]Building an Automated and Self-Aware Anomaly Detection System
Sayan Chakraborty, Smit Shah, Kiumars Soltani, Anna Swigart, Luyao Yang, Kyle Buckingham
http://arxiv.org/abs/2011.05047v1
• [cs.LG]Continual Learning of Control Primitives: Skill Discovery via Reset-Games
Kelvin Xu, Siddharth Verma, Chelsea Finn, Sergey Levine
http://arxiv.org/abs/2011.05286v1
• [cs.LG]Deep Reinforcement Learning for Navigation in AAA Video Games
Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff
http://arxiv.org/abs/2011.04764v1
• [cs.LG]Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network
Xiatian Zhang, Xunshi He, Nan Wang, Rong Chen
http://arxiv.org/abs/2011.05022v1
• [cs.LG]Dynamic Embeddings for Interaction Prediction
Zekarias T. Kefato, Sarunas Girdzijauskas, Nasrullah Sheikh, Alberto Montresor
http://arxiv.org/abs/2011.05208v1
• [cs.LG]Efficient Algorithms for Stochastic Repeated Second-price Auctions
Juliette Achddou, Olivier Cappé, Aurélien Garivier
http://arxiv.org/abs/2011.05072v1
• [cs.LG]Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon
http://arxiv.org/abs/2011.05074v1
• [cs.LG]Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?
Tirth Shah, Lukas Olson, Aditya Sharma, Nirmal Patel
http://arxiv.org/abs/2011.05285v1
• [cs.LG]Expressiveness of Neural Networks Having Width Equal or Below the Input Dimension
Hans-Peter Beise, Steve Dias Da Cruz
http://arxiv.org/abs/2011.04923v1
• [cs.LG]Feedback-Based Dynamic Feature Selection for Constrained Continuous Data Acquisition
Alp Sahin, Xiangrui Zeng
http://arxiv.org/abs/2011.05112v1
• [cs.LG]Graph Kernels: State-of-the-Art and Future Challenges
Karsten Borgwardt, Elisabetta Ghisu, Felipe Llinares-López, Leslie O’Bray, Bastian Rieck
http://arxiv.org/abs/2011.03854v2
• [cs.LG]Higher-Order Spectral Clustering of Directed Graphs
Steinar Laenen, He Sun
http://arxiv.org/abs/2011.05080v1
• [cs.LG]Improving Neural Network Training in Low Dimensional Random Bases
Frithjof Gressmann, Zach Eaton-Rosen, Carlo Luschi
http://arxiv.org/abs/2011.04720v1
• [cs.LG]Lifelong Learning Without a Task Oracle
Amanda Rios, Laurent Itti
http://arxiv.org/abs/2011.04783v1
• [cs.LG]Longitudinal modeling of MS patient trajectories improves predictions of disability progression
Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois GrandMaison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannej, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet Peeters
http://arxiv.org/abs/2011.04749v1
• [cs.LG]Margins are Insufficient for Explaining Gradient Boosting
Allan Grønlund, Lior Kamma, Kasper Green Larsen
http://arxiv.org/abs/2011.04998v1
• [cs.LG]Neural Latent Dependency Model for Sequence Labeling
Yang Zhou, Yong Jiang, Zechuan Hu, Kewei Tu
http://arxiv.org/abs/2011.05009v1
• [cs.LG]Neural Network Compression Via Sparse Optimization
Tianyi Chen, Bo Ji, Yixin Shi, Biyi Fang, Sheng Yi, Tianyu Ding, Xiao Tu
http://arxiv.org/abs/2011.04868v1
• [cs.LG]Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation
Eda Bayram, Alberto Garcia-Duran, Robert West
http://arxiv.org/abs/2011.05301v1
• [cs.LG]On Estimating the Training Cost of Conversational Recommendation Systems
Stefanos Antaris, Dimitrios Rafailidis, Mohammad Aliannejadi
http://arxiv.org/abs/2011.05302v1
• [cs.LG]Real-time Locational Marginal Price Forecasting Using Generative Adversarial Network
Zhongxia Zhang, Meng Wu
http://arxiv.org/abs/2011.04717v1
• [cs.LG]Relation-weighted link prediction for disease gene identification
Srivamshi Pittala, William Koehler, Jonathan Deans, Daniel Salinas, Martin Bringmann, Katharina Sophia Volz, Berk Kapicioglu
http://arxiv.org/abs/2011.05138v1
• [cs.LG]Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
Tengyu Xu, Yingbin Liang
http://arxiv.org/abs/2011.05053v1
• [cs.LG]Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering
Ricky T. Q. Chen, Dami Choi, Lukas Balles, David Duvenaud, Philipp Hennig
http://arxiv.org/abs/2011.04803v1
• [cs.LG]Self-supervised Graph Representation Learning via Bootstrapping
Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Liu
http://arxiv.org/abs/2011.05126v1
• [cs.LG]Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis
Stefan Richthofer, Laurenz Wiskott
http://arxiv.org/abs/2011.04765v1
• [cs.LG]Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients
Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James Harrison, Jennifer Lobo, Laura Barnes
http://arxiv.org/abs/2011.04802v1
• [cs.LG]Topological Regularization via Persistence-Sensitive Optimization
Arnur Nigmetov, Aditi S. Krishnapriyan, Nicole Sanderson, Dmitriy Morozov
http://arxiv.org/abs/2011.05290v1
• [cs.LG]Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
Ramaravind K. Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
http://arxiv.org/abs/2011.04917v1
• [cs.LG]Towards a Better Global Loss Landscape of GANs
Ruoyu Sun, Tiantian Fang, Alex Schwing
http://arxiv.org/abs/2011.04926v1
• [cs.LG]TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling
Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan
http://arxiv.org/abs/2011.04726v1
• [cs.LG]Two-stage Training of Graph Neural Networks for Graph Classification
Manh Tuan Do, Noseong Park, Kijung Shin
http://arxiv.org/abs/2011.05097v1
• [cs.LG]Unbalanced Optimal Transport using Integral Probability Metric Regularization
J. Saketha Nath
http://arxiv.org/abs/2011.05001v1
• [cs.LG]f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni, Harshit Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach
http://arxiv.org/abs/2011.04709v1
• [cs.NE]A Soft Computing Approach for Selecting and Combining Spectral Bands
Juan F. H. Albarracín, Rafael S. Oliveira, Marina Hirota, Jefersson A. dos Santos, Ricardo da S. Torres
http://arxiv.org/abs/2011.05127v1
• [cs.NE]A weighted-sum method for solving the bi-objective traveling thief problem
Jonatas B. C. Chagas, Markus Wagner
http://arxiv.org/abs/2011.05081v1
• [cs.NE]Evolving Nano Particle Cancer Treatments with Multiple Particle Types
Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
http://arxiv.org/abs/2011.04975v1
• [cs.NE]Qualities, challenges and future of genetic algorithms: a literature review
Aymeric Vie
http://arxiv.org/abs/2011.05277v1
• [cs.PF]Resource Allocation in One-dimensional Distributed Service Networks with Applications
Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung
http://arxiv.org/abs/2011.04893v1
• [cs.PL]MotePy: A domain specific language for low-overhead machine learning and data processing
Jayaraj Poroor
http://arxiv.org/abs/2011.05194v1
• [cs.RO]AES: Autonomous Excavator System for Real-World and Hazardous Environments
Jinxin Zhao, Pinxin Long, Liyang Wang, Lingfeng Qian, Feixiang Lu, Xibin Song, Dinesh Manocha, Liangjun Zhang
http://arxiv.org/abs/2011.04848v1
• [cs.RO]An Efficient Closed-Form Method for Optimal Hybrid Force-Velocity Control
Yifan Hou, Matthew T. Mason
http://arxiv.org/abs/2011.04872v1
• [cs.RO]An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control
Kun Wang, Mridul Aanjaneya, Kostas Bekris
http://arxiv.org/abs/2011.04929v1
• [cs.RO]Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
Zhiqian Qiao, Jeff Schneider, John M. Dolan
http://arxiv.org/abs/2011.04697v1
• [cs.RO]Bimanual Regrasping for Suture Needles using Reinforcement Learning for Rapid Motion Planning
Zih-Yun Chiu, Florian Richter, Emily K. Funk, Ryan K. Orosco, Michael C. Yip
http://arxiv.org/abs/2011.04813v1
• [cs.RO]CircuitBot: Learning to Survive with Robotic Circuit Drawing
Xianglong Tan, Weijie Lyu, Andre Rosendo
http://arxiv.org/abs/2011.04987v1
• [cs.RO]Computational Design and Fabrication of Corrugated Mechanisms from Behavioral Specifications
Chang Liu, Wenzhong Yan, Ankur Mehta
http://arxiv.org/abs/2011.05298v1
• [cs.RO]Coordinated Aerial-Ground Robot Exploration via Monte-Carlo View Quality Rendering
Di Deng, Zhefan Xu, Wenbo Zhao, Kenji Shimada
http://arxiv.org/abs/2011.05275v1
• [cs.RO]DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
Baichuan Huang, Shuai D. Han, Abdeslam Boularias, Jingjin Yu
http://arxiv.org/abs/2011.04692v1
• [cs.RO]Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs-Campbell
http://arxiv.org/abs/2011.04820v1
• [cs.RO]Encoding Defensive Driving as a Dynamic Nash Game
Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin
http://arxiv.org/abs/2011.04815v1
• [cs.RO]Frontier-based Automatic-differentiable Information Gain Measure for Robotic Exploration of Unknown 3D Environments
Di Deng, Zhefan Xu, Wenbo Zhao, Kenji Shimada
http://arxiv.org/abs/2011.05288v1
• [cs.RO]Generation of Human-aware Navigation Maps using Graph Neural Networks
Daniel Rodriguez-Criado, Pilar Bachiller, Luis J. Manso
http://arxiv.org/abs/2011.05180v1
• [cs.RO]Grounding Implicit Goal Description for Robot Indoor Navigation Via Recursive Belief Update
Rui Chen, Jinxin Zhao, Liangjun Zhang
http://arxiv.org/abs/2011.05319v1
• [cs.RO]Impedance Optimization for Uncertain Contact Interactions Through Risk Sensitive Optimal Control
Bilal Hammoud, Majid Khadiv, Ludovic Righetti
http://arxiv.org/abs/2011.04684v1
• [cs.RO]Inverse Kinematics as Low-Rank Euclidean Distance Matrix Completion
Filip Marić, Matthew Giamou, Ivan Petrović, Jonathan Kelly
http://arxiv.org/abs/2011.04850v1
• [cs.RO]Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation
Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint
http://arxiv.org/abs/2011.04828v1
• [cs.RO]Learning Task Space Actions for Bipedal Locomotion
Helei Duan, Jeremy Dao, Kevin Green, Taylor Apgar, Alan Fern, Jonathan Hurst
http://arxiv.org/abs/2011.04741v1
• [cs.RO]Model Predictive Control for Human-Centred Lower Limb Robotic Assistance
Christopher Caulcrick, Weiguang Huo, Enrico Franco, Samer Mohammed, Will Hoult, Ravi Vaidyanathan
http://arxiv.org/abs/2011.05079v1
• [cs.RO]Model-based Reinforcement Learning from Signal Temporal Logic Specifications
Parv Kapoor, Anand Balakrishnan, Jyotirmoy V. Deshmukh
http://arxiv.org/abs/2011.04950v1
• [cs.RO]Modeling Trust in Human-Robot Interaction: A Survey
Zahra Rezaei Khavas, Reza Ahmadzadeh, Paul Robinette
http://arxiv.org/abs/2011.04796v1
• [cs.RO]Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Ramina Ghods, William J. Durkin, Jeff Schneider
http://arxiv.org/abs/2011.04825v1
• [cs.RO]Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs
Nejat Arinik, Rosa Figueiredo, Vincent Labatut
http://arxiv.org/abs/2011.05196v1
• [cs.RO]On-line force capability evaluation based on efficient polytope vertex search
Antun Skuric, Vincent Padois, David Daney
http://arxiv.org/abs/2011.05226v1
• [cs.RO]Planning under Uncertainty to Goal Distributions
Adam Conkey, Tucker Hermans
http://arxiv.org/abs/2011.04782v1
• [cs.RO]ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes
Kejun Li, Maegan Tucker, Erdem Bıyık, Ellen Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames
http://arxiv.org/abs/2011.04812v1
• [cs.RO]Robotic Exploration of Unknown 2D Environment Using a Frontier-based Automatic-Differentiable Information Gain Measure
Di Deng, Runlin Duan, Jiahong Liu, Kuangjie Sheng, Kenji Shimada
http://arxiv.org/abs/2011.05323v1
• [cs.RO]Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables
Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Ken Goldberg
http://arxiv.org/abs/2011.04840v1
• [cs.RO]Safe Trajectory Planning Using Reinforcement Learning for Self Driving
Josiah Coad, Zhiqian Qiao, John M. Dolan
http://arxiv.org/abs/2011.04702v1
• [cs.RO]Spring-Rod System Identification via Differentiable Physics Engine
Kun Wang, Mridul Aanjaneya, Kostas Bekris
http://arxiv.org/abs/2011.04910v1
• [cs.RO]StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories
Rohan Chandra, Aniket Bera, Dinesh Manocha
http://arxiv.org/abs/2011.04816v1
• [cs.RO]Towards One-Dollar Robots: An Integrated Design and Fabrication Strategy for Electromechanical Systems
Wenzhong Yan, Ankur Mehta
http://arxiv.org/abs/2011.04772v1
• [cs.RO]Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning
Kaleb Ben Naveed, Zhiqian Qiao, John M. Dolan
http://arxiv.org/abs/2011.04752v1
• [cs.RO]Untangling Dense Knots by Learning Task-Relevant Keypoints
Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Minho Hwang, Vainavi Viswanath, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg
http://arxiv.org/abs/2011.04999v1
• [cs.RO]VFH+ based shared control for remotely operated mobile robots
Pantelis Pappas, Manolis Chiou, Georgios-Theofanis Epsimos, Grigoris Nikolaou, Rustam Stolkin
http://arxiv.org/abs/2011.05228v1
• [cs.SD]Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis
Erica Cooper, Xin Wang, Yi Zhao, Yusuke Yasuda, Junichi Yamagishi
http://arxiv.org/abs/2011.04839v1
• [cs.SD]Speaker De-identification System using Autoencodersand Adversarial Training
Fernando M. Espinoza-Cuadros, Juan M. Perero-Codosero, Javier Antón-Martín, Luis A. Hernández-Gómez
http://arxiv.org/abs/2011.04696v1
• [cs.SI]Competitive Influence Propagation and Fake News Mitigation in the Presence of Strong User Bias
Akrati Saxena, Harsh Saxena, Ralucca Gera
http://arxiv.org/abs/2011.04857v1
• [cs.SI]F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec
http://arxiv.org/abs/2011.04723v1
• [cs.SI]Scoring Popularity in GitHub
Abduljaleel Al-Rubaye, Gita Sukthankar
http://arxiv.org/abs/2011.04865v1
• [cs.SI]Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity
Pedro Ramaciotti Morales, Lionel Tabourier, Raphaël Fournier-S’niehotta
http://arxiv.org/abs/2011.03796v2
• [econ.EM]Testing and Dating Structural Changes in Copula-based Dependence Measures
Florian Stark, Sven Otto
http://arxiv.org/abs/2011.05036v1
• [eess.AS]Generalized LSTM-based End-to-End Text-Independent Speaker Verification
Soroosh Tayebi Arasteh
http://arxiv.org/abs/2011.04896v1
• [eess.IV]AIM 2020 Challenge on Rendering Realistic Bokeh
Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, Jiji C V, Hrishikesh P S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M B, Minnu A L, Sanjana A R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou
http://arxiv.org/abs/2011.04988v1
• [eess.IV]Classification of optics-free images with deep neural networks
Soren Nelson, Rajesh Menon
http://arxiv.org/abs/2011.05132v1
• [eess.IV]Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
Hammam Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz
http://arxiv.org/abs/2011.05317v1
• [eess.IV]Noise2Stack: Improving Image Restoration by Learning from Volumetric Data
Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon, Omer Bayraktar, Dmytro Fishman, Kaupo Palo, Leopold Parts
http://arxiv.org/abs/2011.05105v1
• [eess.IV]Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19
Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K S Shriram, Utkarsh Agrawal, Laszlo Rusko, Zita Herczeg, Barbara Darazs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash
http://arxiv.org/abs/2011.05186v1
• [eess.SP]Blind SNR Estimation and Nonparametric Channel Denoising in Multi-Antenna mmWave Systems
Alexandra Gallyas-Sanhueza, Christoph Studer
http://arxiv.org/abs/2011.05113v1
• [eess.SY]Correlated Age-of-Information Bandits
Ishank Juneja, Santosh Fatale, Sharayu Moharir
http://arxiv.org/abs/2011.05032v1
• [eess.SY]Dynamic Relay Selection and Power Allocation for Minimizing Outage Probability: A Hierarchical Reinforcement Learning Approach
Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu
http://arxiv.org/abs/2011.04891v1
• [eess.SY]Thompson sampling for linear quadratic mean-field teams
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
http://arxiv.org/abs/2011.04686v1
• [math.NA]The Virtual Goniometer: A new method for measuring angles on 3D models of fragmentary bone and lithics
Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver, Annie Melton, Paige Cody, Thomas Huffstutler, Alexander Terwilliger, Martha Tappen, Reed Coil, Gilbert Tostevin
http://arxiv.org/abs/2011.04898v1
• [math.OC]Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo
http://arxiv.org/abs/2011.05082v1
• [math.PR]Strong Law of Large Numbers for Functionals of Random Fields With Unboundedly Increasing Covariances
Illia Donhauzer, Andriy Olenko, Andrei Volodin
http://arxiv.org/abs/2011.04874v1
• [math.ST]A Statistical Perspective on Coreset Density Estimation
Paxton Turner, Jingbo Liu, Philippe Rigollet
http://arxiv.org/abs/2011.04907v1
• [math.ST]Dimension-agnostic inference
Ilmun Kim, Aaditya Ramdas
http://arxiv.org/abs/2011.05068v1
• [math.ST]Efficient Interpolation of Density Estimators
Paxton Turner, Jingbo Liu, Philippe Rigollet
http://arxiv.org/abs/2011.04922v1
• [math.ST]Group testing and local search: is there a computational-statistical gap?
Fotis Iliopoulos, Ilias Zadik
http://arxiv.org/abs/2011.05258v1
• [math.ST]Hypothesis testing with active information
Daniel Andrés Díaz—Pachón, Juan Pablo Sáenz, J. Sunil Rao
http://arxiv.org/abs/2011.04834v1
• [math.ST]Perturbation of the expected Minkowski functional for weakly non-Gaussian isotropic fields on a bounded domain
Satoshi Kuriki, Takahiko Matsubara
http://arxiv.org/abs/2011.04953v1
• [math.ST]Robust Batch Policy Learning in Markov Decision Processes
Zhengling Qi, Peng Liao
http://arxiv.org/abs/2011.04185v2
• [math.ST]Statistical analysis for stationary time series at extreme levels: new estimators for the limiting cluster size distribution
Axel Bücher, Tobias Jennessen
http://arxiv.org/abs/2011.04733v1
• [physics.ao-ph]Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions
Mikhail Krinitskiy, Polina Verezemskaya, Svyatoslav Elizarov, Sergey Gulev
http://arxiv.org/abs/2011.04811v1
• [physics.med-ph]Deep correction of breathing-related artifacts in MR-thermometry
Baudouin Denis de Senneville, Pierrick Coupé, Mario Ries, Laurent Facq, Chrit Moonen
http://arxiv.org/abs/2011.05025v1
• [physics.med-ph]Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging
Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
http://arxiv.org/abs/2011.05110v1
• [physics.med-ph]Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern
Niklas Holzwarth, Melanie Schellenberg, Janek Gröhl, Kris Dreher, Jan-Hinrich, Nölke, Alexander Seitel, Minu D. Tizabi, Beat P. Müller-Stich, Lena Maier-Hein
http://arxiv.org/abs/2011.04997v1
• [physics.soc-ph]Traffic congestion and travel time prediction based on historical congestion maps and identification of consensual days
Nicolas Chiabaut ‘and” Rémi Faitout
http://arxiv.org/abs/2011.05073v1
• [q-bio.QM]AC-DC: Amplification Curve Diagnostics for Covid-19 Group Testing
Ryan Gabrys, Srilakshmi Pattabiraman, Vishal Rana, João Ribeiro, Mahdi Cheraghchi, Venkatesan Guruswami, Olgica Milenkovic
http://arxiv.org/abs/2011.05223v1
• [quant-ph]Estimating expectation values using approximate quantum states
Marco Paini, Amir Kalev, Dan Padilha, Brendan Ruck
http://arxiv.org/abs/2011.04754v1
• [quant-ph]Principles of Quantum Communication Theory: A Modern Approach
Sumeet Khatri, Mark M. Wilde
http://arxiv.org/abs/2011.04672v1
• [stat.AP]Estimating Risk-Adjusted Hospital Performance
Eva van Weenen, Stefan Feuerriegel
http://arxiv.org/abs/2011.05149v1
• [stat.AP]Forecasting asylum applications in the European Union with machine learning and data at scale
Marcello Carammia, Stefano Maria Iacus, Teddy Wilkin
http://arxiv.org/abs/2011.04348v2
• [stat.AP]Statistical evaluation of in-vivo bioassays in regulatory toxicology considering males and females
Ludwig A. Hothorn
http://arxiv.org/abs/2011.05098v1
• [stat.ME]A liberal type I error rate for studies in precision medicine
Werner Brannath, Charlie Hillner, Kornelius Rohmeyer
http://arxiv.org/abs/2011.04766v1
• [stat.ME]Gaussian Graphical Regression Models with High Dimensional Responses and Covariates
Jingfei Zhang, Yi Li
http://arxiv.org/abs/2011.05245v1
• [stat.ME]Handling time-dependent exposures and confounders when estimating attributable fractions — bridging the gap between multistate and counterfactual modeling
Johan Steen, Pawel Morzywolek, Wim Van Biesen, Johan Decruyenaere, Stijn Vansteelandt
http://arxiv.org/abs/2011.04833v1
• [stat.ME]Identifying effects of multiple treatments in the presence of unmeasured confounding
Wang Miao, Wenjie Hu, Elizabeth L. Ogburn, Xiaohua Zhou
http://arxiv.org/abs/2011.04504v2
• [stat.ME]Reducing bias in difference-in-differences models using entropy balancing
Matthew Cefalu, Brian G. Vegetabile, Michael Dworsky, Christine Eibner, Federico Girosi
http://arxiv.org/abs/2011.04826v1
• [stat.ME]Rerandomization in stratified randomized experiments
Xinhe Wang, Tingyu Wang, Hanzhong Liu
http://arxiv.org/abs/2011.05195v1
• [stat.ME]Tracking change-points in multivariate extremes
Miguel de Carvalho, Manuele Leonelli, Alex Rossi
http://arxiv.org/abs/2011.05067v1
• [stat.ME]Using flexible noise models to avoid noise model misspecification in inference of differential equation time series models
Richard Creswell, Ben Lambert, Chon Lok Lei, Martin Robinson, David Gavaghan
http://arxiv.org/abs/2011.04854v1
• [stat.ML]Community Detection by Principal Components Clustering Methods
Huan Qing, Jingli Wang
http://arxiv.org/abs/2011.04377v2
• [stat.ML]Deep Bayesian Nonparametric Factor Analysis
Arunesh Mittal, Paul Sajda, John Paisley
http://arxiv.org/abs/2011.04770v1
• [stat.ML]Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
Ding Zhou, Xue-Xin Wei
http://arxiv.org/abs/2011.04798v1
• [stat.ML]Sparse within Sparse Gaussian Processes using Neighbor Information
Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
http://arxiv.org/abs/2011.05041v1
• [stat.ML]Supervised PCA: A Multiobjective Approach
Alexander Ritchie, Laura Balzano, Clayton Scott
http://arxiv.org/abs/2011.05309v1
• [stat.ML]Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning
Elliott Gordon-Rodriguez, Gabriel Loaiza-Ganem, Geoff Pleiss, John P. Cunningham
http://arxiv.org/abs/2011.05231v1
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