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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 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.NE - 神经与进化计算 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 q-bio.MN - 分子网络 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

    • [cs.AI]A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification
    • [cs.AI]A framework for a modular multi-concept lexicographic closure semantics
    • [cs.AI]AI solutions for drafting in Magic: the Gathering
    • [cs.AI]An enhanced simulation-based iterated local search metaheuristic for gravity fed water distribution network design optimization
    • [cs.AR]Architectural Implications of Graph Neural Networks
    • [cs.AR]TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference
    • [cs.CL]A Practical Chinese Dependency Parser Based on A Large-scale Dataset
    • [cs.CL]ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition
    • [cs.CL]An exploratory study of L1-specific non-words
    • [cs.CL]Automated Storytelling via Causal, Commonsense Plot Ordering
    • [cs.CL]Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation
    • [cs.CL]Defeating Author Gender Identification with Text Style Transfer
    • [cs.CL]Document Similarity from Vector Space Densities
    • [cs.CL]Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media
    • [cs.CL]Generalisation of Cyberbullying Detection
    • [cs.CL]MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
    • [cs.CL]Revisiting the Open-Domain Question Answering Pipeline
    • [cs.CL]Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
    • [cs.CL]Temporal Mental Health Dynamics on Social Media
    • [cs.CL]Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
    • [cs.CL]Too good to be true? Predicting author profiles for abusive language
    • [cs.CR]A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
    • [cs.CV]3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network
    • [cs.CV]A perception centred self-driving system without HD Maps
    • [cs.CV]ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation
    • [cs.CV]ALEX: Active Learning based Enhancement of a Model’s Explainability
    • [cs.CV]Adversarially Robust Neural Architectures
    • [cs.CV]Aggregating Long-Term Context for Learning Surgical Workflows
    • [cs.CV]Bidirectional Attention Network for Monocular Depth Estimation
    • [cs.CV]CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
    • [cs.CV]Comprehensive Semantic Segmentation on High Resolution Aerial Imagery for Natural Disaster Assessment
    • [cs.CV]Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
    • [cs.CV]Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks
    • [cs.CV]Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
    • [cs.CV]Deep Learning to Detect Bacterial Colonies for the Production of Vaccines
    • [cs.CV]Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images
    • [cs.CV]Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders
    • [cs.CV]Face Image Quality Assessment: A Literature Survey
    • [cs.CV]Fed-Sim: Federated Simulation for Medical Imaging
    • [cs.CV]GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation
    • [cs.CV]Going beyond Free Viewpoint: Creating Animatable Volumetric Video of Human Performances
    • [cs.CV]IAUnet: Global Context-Aware Feature Learning for Person Re-Identification
    • [cs.CV]Intrinsic Relationship Reasoning for Small Object Detection
    • [cs.CV]Iris Liveness Detection Competition (LivDet-Iris) — The 2020 Edition
    • [cs.CV]LSMVOS: Long-Short-Term Similarity Matching for Video Object
    • [cs.CV]Lifelong Object Detection
    • [cs.CV]Local-HDP: Interactive Open-Ended 3D Object Categorization
    • [cs.CV]Long-Term Anticipation of Activities with Cycle Consistency
    • [cs.CV]Lunar Crater Identification in Digital Images
    • [cs.CV]MetaSimulator: Simulating Unknown Target Models for Query-Efficient Black-box Attacks
    • [cs.CV]Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training
    • [cs.CV]NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits
    • [cs.CV]Neural Crossbreed: Neural Based Image Metamorphosis
    • [cs.CV]On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
    • [cs.CV]Open-set Adversarial Defense
    • [cs.CV]PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation
    • [cs.CV]Perceiving Humans: from Monocular 3D Localization to Social Distancing
    • [cs.CV]Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation
    • [cs.CV]Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction
    • [cs.CV]Real-time 3D Facial Tracking via Cascaded Compositional Learning
    • [cs.CV]Retaining Image Feature Matching Performance Under Low Light Conditions
    • [cs.CV]SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization
    • [cs.CV]Seeing wake words: Audio-visual Keyword Spotting
    • [cs.CV]Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation
    • [cs.CV]Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
    • [cs.CV]Structure-Aware Generation Network for Recipe Generation from Images
    • [cs.CV]Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
    • [cs.CV]Transform Quantization for CNN Compression
    • [cs.CV]Unsupervised Domain Adaptation For Plant Organ Counting
    • [cs.CV]Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification
    • [cs.CV]Unsupervised Single-Image Reflection Separation Using Perceptual Deep Image Priors
    • [cs.CV]Video Captioning Using Weak Annotation
    • [cs.CV]View-invariant action recognition
    • [cs.CV]Zero-Shot Human-Object Interaction Recognition via Affordance Graphs
    • [cs.CV]e-TLD: Event-based Framework for Dynamic Object Tracking
    • [cs.CY]Embedded Development Boards for Edge-AI: A Comprehensive Report
    • [cs.CY]Excavating “Excavating AI”: The Elephant in the Gallery
    • [cs.CY]Measuring the Credibility of Student Attendance Data in Higher Education for Data Mining
    • [cs.CY]covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the Corona Virus Disease Pandemic
    • [cs.DC]Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight
    • [cs.DC]Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
    • [cs.DC]Survey of Machine Learning Accelerators
    • [cs.DS]Differentially private $k$-means clustering via exponential mechanism and max cover
    • [cs.FL]Tree Automata for Extracting Consensus from Partial Replicas of a Structured Document
    • [cs.HC]MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales
    • [cs.HC]Subtask Analysis of Process Data Through a Predictive Model
    • [cs.IR]A Differntiable Ranking Metric Using Relaxed Sorting Opeartion for Top-K Recommender Systems
    • [cs.IR]CODO: An Ontology for Collection and Analysis of Covid-19 Data
    • [cs.IR]Identifying Documents In-Scope of a Collection from Web Archives
    • [cs.IT]Embedded Blockchains: A Synthesis of Blockchains, Spread Spectrum Watermarking, Perceptual Hashing & Digital Signatures
    • [cs.IT]Interplay of Probabilistic Shaping and Carrier Phase Recovery for Nonlinearity Mitigation
    • [cs.IT]On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO
    • [cs.IT]Receiver Design for OTFS with Fractionally Spaced Sampling Approach
    • [cs.IT]Single-RF MIMO: From Spatial Modulation to Metasurface-Based Modulation
    • [cs.LG]Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
    • [cs.LG]Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series
    • [cs.LG]Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images
    • [cs.LG]Conditional Constrained Graph Variational Autoencoders for Molecule Design
    • [cs.LG]DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
    • [cs.LG]Decentralized Source Localization Using Wireless Sensor Networks from Noisy Data
    • [cs.LG]Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance
    • [cs.LG]Generalized vec trick for fast learning of pairwise kernel models
    • [cs.LG]Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
    • [cs.LG]LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting
    • [cs.LG]Lifelong Graph Learning
    • [cs.LG]Mutual Teaching for Graph Convolutional Networks
    • [cs.LG]Online system identification in a Duffing oscillator by free energy minimisation
    • [cs.LG]Overcoming Negative Transfer: A Survey
    • [cs.LG]Properties of f-divergences and f-GAN training
    • [cs.LG]Robust, Accurate Stochastic Optimization for Variational Inference
    • [cs.LG]Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction
    • [cs.LG]Self-supervised Smoothing Graph Neural Networks
    • [cs.LG]Topology and Neural Networks
    • [cs.LG]Travel time prediction for congested freeways with a dynamic linear model
    • [cs.LG]Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
    • [cs.NE]Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation
    • [cs.RO]3D Collision-Force-Map for Safe Human-Robot Collaboration
    • [cs.RO]A Novel Design of Soft Robotic Hand with a Human-inspired Soft Palm for Dexterous Grasping
    • [cs.RO]An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction
    • [cs.RO]Control Framework for a Hybrid-steel Bridge Inspection Robot
    • [cs.RO]Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning
    • [cs.RO]Turning machines
    • [cs.SE]Understanding Peer Review of Software Engineering Papers
    • [cs.SI]Exact Recovery of Community Detection in k-Community Gaussian Mixture Model
    • [cs.SI]Heterogeneous Graph Neural Network for Recommendation
    • [cs.SI]Information Source Finding in Networks: Querying with Budgets
    • [cs.SI]Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections
    • [cs.SI]Scaling Attributed Network Embedding to Massive Graphs
    • [cs.SI]Structural balance of alliance and rivalry networks in international relations
    • [eess.AS]Multimodal Inductive Transfer Learning for Detection of Alzheimer’s Dementia and its Severity
    • [eess.AS]Neural Architecture Search For Keyword Spotting
    • [eess.AS]Speaker Representation Learning using Global Context Guided Channel and Time-Frequency Transformations
    • [eess.AS]WaveGrad: Estimating Gradients for Waveform Generation
    • [eess.IV]Breast mass detection in digital mammography based on anchor-free architecture
    • [eess.IV]Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation
    • [eess.IV]DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
    • [eess.IV]Efficient, high-performance pancreatic segmentation using multi-scale feature extraction
    • [eess.IV]Operational vs Convolutional Neural Networks for Image Denoising
    • [eess.IV]Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data
    • [eess.SY]A reinforcement learning approach to hybrid control design
    • [eess.SY]Efficient Multi-Robot Exploration with Energy Constraint based on Optimal Transport Theory
    • [eess.SY]Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
    • [math.NA]The connections between Lyapunov functions for some optimization algorithms and differential equations
    • [math.OC]Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search
    • [math.OC]Extensions to the Proximal Distance of Method of Constrained Optimization
    • [math.ST]Finite sample breakdown point of multivariate regression depth median
    • [math.ST]Simultaneous inference for Berkson errors-in-variables regression under fixed design
    • [math.ST]Universal Inference with Composite Likelihoods
    • [physics.comp-ph]On Open and Strong-Scaling Tools for Atom Probe Crystallography: High-Throughput Methods for Indexing Crystal Structure and Orientation
    • [q-bio.MN]Information Rates of Controlled Protein Interactions Using Terahertz Communication
    • [q-bio.MN]VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA
    • [q-bio.QM]Models of benthic bipedalism
    • [stat.AP]A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations
    • [stat.AP]Analysis of survival data with non-proportional hazards: A comparison of propensity score weighted methods
    • [stat.AP]Self-driving car safety quantification via component-level analysis
    • [stat.AP]The battle of total-order sensitivity estimators
    • [stat.CO]A simple algorithm for global sensitivity analysis with Shapley effects
    • [stat.ME]An Approximation Scheme for Multivariate Information based on Partial Information Decomposition
    • [stat.ME]An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture based clustering
    • [stat.ME]Estimating the reciprocal of a binomial proportion
    • [stat.ME]Evaluating Catchment Models as Multiple Working Hypotheses: on the Role of Error Metrics, Parameter Sampling, Model Structure, and Data Information Content
    • [stat.ME]Informative Goodness-of-Fit for Multivariate Distributions

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    • [cs.AI]A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification
    Vikas Singh, Homanga Bharadhwaj, Nishchal K Verma
    http://arxiv.org/abs/2009.00822v1

    • [cs.AI]A framework for a modular multi-concept lexicographic closure semantics
    Laura Giordano, Daniele Theseider Dupré
    http://arxiv.org/abs/2009.00964v1

    • [cs.AI]AI solutions for drafting in Magic: the Gathering
    Henry N. Ward, Daniel J. Brooks, Dan Troha, Bobby Mills, Arseny S. Khakhalin
    http://arxiv.org/abs/2009.00655v1

    • [cs.AI]An enhanced simulation-based iterated local search metaheuristic for gravity fed water distribution network design optimization
    Willian C. S. Martinho, Rafael A. Melo, Kenneth Sörensen
    http://arxiv.org/abs/2009.01197v1

    • [cs.AR]Architectural Implications of Graph Neural Networks
    Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
    http://arxiv.org/abs/2009.00804v1

    • [cs.AR]TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference
    Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
    http://arxiv.org/abs/2009.00748v1

    • [cs.CL]A Practical Chinese Dependency Parser Based on A Large-scale Dataset
    Shuai Zhang, Lijie Wang, Ke Sun, Xinyan Xiao
    http://arxiv.org/abs/2009.00901v1

    • [cs.CL]ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition
    Jiuniu Wang, Wenjia Xu, Xingyu Fu, Guangluan Xu, Yirong Wu
    http://arxiv.org/abs/2009.01041v1

    • [cs.CL]An exploratory study of L1-specific non-words
    David Alfter
    http://arxiv.org/abs/2009.01134v1

    • [cs.CL]Automated Storytelling via Causal, Commonsense Plot Ordering
    Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl
    http://arxiv.org/abs/2009.00829v1

    • [cs.CL]Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation
    Wilson Lau, Laura Aaltonen, Martin Gunn, Meliha Yetisgen
    http://arxiv.org/abs/2009.00694v1

    • [cs.CL]Defeating Author Gender Identification with Text Style Transfer
    Reza Khan Mohammadi, Seyed Abolghasem Mirroshandel
    http://arxiv.org/abs/2009.01040v1

    • [cs.CL]Document Similarity from Vector Space Densities
    Ilia Rushkin
    http://arxiv.org/abs/2009.00672v1

    • [cs.CL]Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media
    Avishek Garain
    http://arxiv.org/abs/2009.01195v1

    • [cs.CL]Generalisation of Cyberbullying Detection
    Khoury Richard, Larochelle Marc-André
    http://arxiv.org/abs/2009.01046v1

    • [cs.CL]MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
    Thai Le, Suhang Wang, Dongwon Lee
    http://arxiv.org/abs/2009.01048v1

    • [cs.CL]Revisiting the Open-Domain Question Answering Pipeline
    Sina J. Semnani, Manish Pandey
    http://arxiv.org/abs/2009.00914v1

    • [cs.CL]Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
    Bibek Upadhayay, Vahid Behzadan
    http://arxiv.org/abs/2009.01047v1

    • [cs.CL]Temporal Mental Health Dynamics on Social Media
    Tom Tabak, Matthew Purver
    http://arxiv.org/abs/2008.13121v3

    • [cs.CL]Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
    Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
    http://arxiv.org/abs/2009.00751v1

    • [cs.CL]Too good to be true? Predicting author profiles for abusive language
    Isabelle van der Vegt, Bennett Kleinberg, Paul Gill
    http://arxiv.org/abs/2009.01126v1

    • [cs.CR]A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
    Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, Sweta Bhattacharya, Prabadevi B, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Fang Fang, Pubudu N. Pathirana
    http://arxiv.org/abs/2009.00858v1

    • [cs.CV]3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network
    Xiaoxu Cai, Hui Yu, Jianwen Lou, Xuguang Zhang, Gongfa Li, Junyu Dong
    http://arxiv.org/abs/2009.00938v1

    • [cs.CV]A perception centred self-driving system without HD Maps
    Alan Sun
    http://arxiv.org/abs/2009.00782v1

    • [cs.CV]ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation
    Akash Gupta, Abhishek Aich, Amit K. Roy-Chowdhury
    http://arxiv.org/abs/2009.01005v1

    • [cs.CV]ALEX: Active Learning based Enhancement of a Model’s Explainability
    Ishani Mondal, Debasis Ganguly
    http://arxiv.org/abs/2009.00859v1

    • [cs.CV]Adversarially Robust Neural Architectures
    Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu
    http://arxiv.org/abs/2009.00902v1

    • [cs.CV]Aggregating Long-Term Context for Learning Surgical Workflows
    Yutong Ban, Guy Rosman, Thomas Ward, Daniel Hashimoto, Taisei Kondo, Ozanan Meireles, Daniela Rus
    http://arxiv.org/abs/2009.00681v1

    • [cs.CV]Bidirectional Attention Network for Monocular Depth Estimation
    Shubhra Aich, Jean Marie Uwabeza Vianney, Md Amirul Islam, Mannat Kaur, Bingbing Liu
    http://arxiv.org/abs/2009.00743v1

    • [cs.CV]CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
    Su Pang, Daniel Morris, Hayder Radha
    http://arxiv.org/abs/2009.00784v1

    • [cs.CV]Comprehensive Semantic Segmentation on High Resolution Aerial Imagery for Natural Disaster Assessment
    Maryam Rahnemoonfar, Tashnim Chowdhury, Robin Murphy, Odair Fernandes
    http://arxiv.org/abs/2009.01193v1

    • [cs.CV]Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
    Matthias De Lange, Tinne Tuytelaars
    http://arxiv.org/abs/2009.00919v1

    • [cs.CV]Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks
    Ruiki Kobayashi, Shogo Muramatsu
    http://arxiv.org/abs/2009.00831v1

    • [cs.CV]Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
    Haiwei Wu, Jiantao Zhou, Yuanman Li
    http://arxiv.org/abs/2009.01031v1

    • [cs.CV]Deep Learning to Detect Bacterial Colonies for the Production of Vaccines
    Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee
    http://arxiv.org/abs/2009.00926v1

    • [cs.CV]Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images
    Sagar Kora Venu
    http://arxiv.org/abs/2009.01181v1

    • [cs.CV]Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders
    James-Andrew Sarmiento
    http://arxiv.org/abs/2009.01053v1

    • [cs.CV]Face Image Quality Assessment: A Literature Survey
    Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fierrez, Christoph Busch
    http://arxiv.org/abs/2009.01103v1

    • [cs.CV]Fed-Sim: Federated Simulation for Medical Imaging
    Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F Frangi, Sanja Fidler
    http://arxiv.org/abs/2009.00668v1

    • [cs.CV]GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation
    Ibrahim Batuhan Akkaya, Ugur Halici
    http://arxiv.org/abs/2009.00878v1

    • [cs.CV]Going beyond Free Viewpoint: Creating Animatable Volumetric Video of Human Performances
    Anna Hilsmann, Philipp Fechteler, Wieland Morgenstern, Wolfgang Paier, Ingo Feldmann, Oliver Schreer, Peter Eisert
    http://arxiv.org/abs/2009.00922v1

    • [cs.CV]IAUnet: Global Context-Aware Feature Learning for Person Re-Identification
    Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/2009.01035v1

    • [cs.CV]Intrinsic Relationship Reasoning for Small Object Detection
    Kui Fu, Jia Li, Lin Ma, Kai Mu, Yonghong Tian
    http://arxiv.org/abs/2009.00833v1

    • [cs.CV]Iris Liveness Detection Competition (LivDet-Iris) — The 2020 Edition
    Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin Bowyer, Adam Czajka, Stephanie Schuckers, Juan Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross
    http://arxiv.org/abs/2009.00749v1

    • [cs.CV]LSMVOS: Long-Short-Term Similarity Matching for Video Object
    Zhang Xuerui, Yuan Xia
    http://arxiv.org/abs/2009.00771v1

    • [cs.CV]Lifelong Object Detection
    Wang Zhou, Shiyu Chang, Norma Sosa, Hendrik Hamann, David Cox
    http://arxiv.org/abs/2009.01129v1

    • [cs.CV]Local-HDP: Interactive Open-Ended 3D Object Categorization
    H. Ayoobi, H. Kasaei, M. Cao, R. Verbrugge, B. Verheij
    http://arxiv.org/abs/2009.01152v1

    • [cs.CV]Long-Term Anticipation of Activities with Cycle Consistency
    Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall
    http://arxiv.org/abs/2009.01142v1

    • [cs.CV]Lunar Crater Identification in Digital Images
    John A. Christian, Harm Derksen, Ryan Watkins
    http://arxiv.org/abs/2009.01228v1

    • [cs.CV]MetaSimulator: Simulating Unknown Target Models for Query-Efficient Black-box Attacks
    Chen Ma, Li Chen, Junhai Yong
    http://arxiv.org/abs/2009.00960v1

    • [cs.CV]Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training
    Peixuan Li
    http://arxiv.org/abs/2009.00764v1

    • [cs.CV]NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits
    Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son, Holger Winnemoller
    http://arxiv.org/abs/2009.00633v1

    • [cs.CV]Neural Crossbreed: Neural Based Image Metamorphosis
    Sanghun Park, Kwanggyoon Seo, Junyong Noh
    http://arxiv.org/abs/2009.00905v1

    • [cs.CV]On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
    Charles Lehman, Dogancan Temel, Ghassan AlRegib
    http://arxiv.org/abs/2009.00817v1

    • [cs.CV]Open-set Adversarial Defense
    Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel
    http://arxiv.org/abs/2009.00814v1

    • [cs.CV]PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation
    Shaotian Yan, Chen Shen, Zhongming Jin, Jianqiang Huang, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua
    http://arxiv.org/abs/2009.00893v1

    • [cs.CV]Perceiving Humans: from Monocular 3D Localization to Social Distancing
    Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi
    http://arxiv.org/abs/2009.00984v1

    • [cs.CV]Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation
    Danilo Vasconcellos Vargas, Bingli Liao, Takahiro Kanzaki
    http://arxiv.org/abs/2009.01110v1

    • [cs.CV]Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction
    Haiwei Wu, Jiantao Zhou
    http://arxiv.org/abs/2009.01030v1

    • [cs.CV]Real-time 3D Facial Tracking via Cascaded Compositional Learning
    Jianwen Lou, Xiaoxu Cai, Junyu Dong, Hui Yu
    http://arxiv.org/abs/2009.00935v1

    • [cs.CV]Retaining Image Feature Matching Performance Under Low Light Conditions
    Pranjay Shyam, Antyanta Bangunharcana, Kyung-Soo Kim
    http://arxiv.org/abs/2009.00842v1

    • [cs.CV]SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization
    Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia
    http://arxiv.org/abs/2009.00726v1

    • [cs.CV]Seeing wake words: Audio-visual Keyword Spotting
    Liliane Momeni, Triantafyllos Afouras, Themos Stafylakis, Samuel Albanie, Andrew Zisserman
    http://arxiv.org/abs/2009.01225v1

    • [cs.CV]Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation
    Luigi Musto, Andrea Zinelli
    http://arxiv.org/abs/2009.01166v1

    • [cs.CV]Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
    Yang Liu, Guanbin Li, Liang Lin
    http://arxiv.org/abs/2009.00210v2

    • [cs.CV]Structure-Aware Generation Network for Recipe Generation from Images
    Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
    http://arxiv.org/abs/2009.00944v1

    • [cs.CV]Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
    Brian Davis, Chris Tensmeyer, Brian Price, Curtis Wigington, Bryan Morse, Rajiv Jain
    http://arxiv.org/abs/2009.00678v1

    • [cs.CV]Transform Quantization for CNN Compression
    Sean I. Young, Wang Zhe, David Taubman, Bernd Girod
    http://arxiv.org/abs/2009.01174v1

    • [cs.CV]Unsupervised Domain Adaptation For Plant Organ Counting
    Tewodros Ayalew, Jordan Ubbens, Ian Stavness
    http://arxiv.org/abs/2009.01081v1

    • [cs.CV]Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification
    Zeyu Cao, Xiaorun Li, Liaoying Zhao
    http://arxiv.org/abs/2009.00953v1

    • [cs.CV]Unsupervised Single-Image Reflection Separation Using Perceptual Deep Image Priors
    Suhong Kim, Hamed RahmaniKhezri, Seyed Mohammad Nourbakhsh, Mohamed Hefeeda
    http://arxiv.org/abs/2009.00702v1

    • [cs.CV]Video Captioning Using Weak Annotation
    Jingyi Hou, Yunde Jia, Xinxiao wu, Yayun Qi
    http://arxiv.org/abs/2009.01067v1

    • [cs.CV]View-invariant action recognition
    Yogesh S Rawat, Shruti Vyas
    http://arxiv.org/abs/2009.00638v1

    • [cs.CV]Zero-Shot Human-Object Interaction Recognition via Affordance Graphs
    Alessio Sarullo, Tingting Mu
    http://arxiv.org/abs/2009.01039v1

    • [cs.CV]e-TLD: Event-based Framework for Dynamic Object Tracking
    Bharath Ramesh, Shihao Zhang, Hong Yang, Andres Ussa, Matthew Ong, Garrick Orchard, Cheng Xiang
    http://arxiv.org/abs/2009.00855v1

    • [cs.CY]Embedded Development Boards for Edge-AI: A Comprehensive Report
    Hamza Ali Imran, Usama Mujahid, Saad Wazir, Usama Latif, Kiran Mehmood
    http://arxiv.org/abs/2009.00803v1

    • [cs.CY]Excavating “Excavating AI”: The Elephant in the Gallery
    Michael J. Lyons
    http://arxiv.org/abs/2009.01215v1

    • [cs.CY]Measuring the Credibility of Student Attendance Data in Higher Education for Data Mining
    Mohammed Alsuwaiket, Christian Dawson, Firat Batmaz
    http://arxiv.org/abs/2009.00679v1

    • [cs.CY]covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the Corona Virus Disease Pandemic
    Marcelo Ponce, Amit Sandhel
    http://arxiv.org/abs/2009.01091v1

    • [cs.DC]Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight
    Yuxuan Li, Mingcheng Chen, Yaojian Chen, Haitian Lu, Lin Gan, Chaoyang Lu, Jianwei Pan, Haohuan Fu, Guangwen Yang
    http://arxiv.org/abs/2009.01177v1

    • [cs.DC]Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
    Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar, Madhavan Manivannan, Miquel Pericas
    http://arxiv.org/abs/2009.00915v1

    • [cs.DC]Survey of Machine Learning Accelerators
    Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
    http://arxiv.org/abs/2009.00993v1

    • [cs.DS]Differentially private $k$-means clustering via exponential mechanism and max cover
    Anamay Chaturvedi, Huy Nguyen, Eric Xu
    http://arxiv.org/abs/2009.01220v1

    • [cs.FL]Tree Automata for Extracting Consensus from Partial Replicas of a Structured Document
    Maurice Tchoupé Tchendji, Milliam Maxime Zekeng Ndadji
    http://arxiv.org/abs/2009.00867v1

    • [cs.HC]MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales
    Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim
    http://arxiv.org/abs/2009.00548v2

    • [cs.HC]Subtask Analysis of Process Data Through a Predictive Model
    Zhi Wang, Xueying Tang, Jingchen Liu, Zhiliang Ying
    http://arxiv.org/abs/2009.00717v1

    • [cs.IR]A Differntiable Ranking Metric Using Relaxed Sorting Opeartion for Top-K Recommender Systems
    Hyunsung Lee, Yeongjae Jang, Jaekwang Kim, Honguk Woo
    http://arxiv.org/abs/2008.13141v2

    • [cs.IR]CODO: An Ontology for Collection and Analysis of Covid-19 Data
    B. Dutta, M. DeBellis
    http://arxiv.org/abs/2009.01210v1

    • [cs.IR]Identifying Documents In-Scope of a Collection from Web Archives
    Krutarth Patel, Cornelia Caragea, Mark Phillips, Nathaniel Fox
    http://arxiv.org/abs/2009.00611v1

    • [cs.IT]Embedded Blockchains: A Synthesis of Blockchains, Spread Spectrum Watermarking, Perceptual Hashing & Digital Signatures
    Sam Blake
    http://arxiv.org/abs/2009.00951v1

    • [cs.IT]Interplay of Probabilistic Shaping and Carrier Phase Recovery for Nonlinearity Mitigation
    Stella Civelli, Enrico Forestieri, Marco Secondini
    http://arxiv.org/abs/2009.01135v1

    • [cs.IT]On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO
    Jinho Choi
    http://arxiv.org/abs/2009.00724v1

    • [cs.IT]Receiver Design for OTFS with Fractionally Spaced Sampling Approach
    Yao Ge, Qinwen Deng, P. C. Ching, Zhi Ding
    http://arxiv.org/abs/2009.00806v1

    • [cs.IT]Single-RF MIMO: From Spatial Modulation to Metasurface-Based Modulation
    Qiang Li, Miaowen Wen, Marco Di Renzo
    http://arxiv.org/abs/2009.00789v1

    • [cs.LG]Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
    Cezara Benegui, Radu Tudor Ionescu
    http://arxiv.org/abs/2009.01109v1

    • [cs.LG]Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series
    Waytehad Moskolaï, Wahabou Abdou, Albert Dipanda, Dina Taiwe Kolyang
    http://arxiv.org/abs/2009.00841v1

    • [cs.LG]Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images
    Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
    http://arxiv.org/abs/2009.00675v1

    • [cs.LG]Conditional Constrained Graph Variational Autoencoders for Molecule Design
    Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
    http://arxiv.org/abs/2009.00725v1

    • [cs.LG]DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
    Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
    http://arxiv.org/abs/2009.01027v1

    • [cs.LG]Decentralized Source Localization Using Wireless Sensor Networks from Noisy Data
    Akram Hussain
    http://arxiv.org/abs/2009.01062v1

    • [cs.LG]Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance
    Andrew J. Lohn
    http://arxiv.org/abs/2009.00802v1

    • [cs.LG]Generalized vec trick for fast learning of pairwise kernel models
    Markus Viljanen, Antti Airola, Tapio Pahikkala
    http://arxiv.org/abs/2009.01054v1

    • [cs.LG]Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
    Junyi Li, Bin Gu, Heng Huang
    http://arxiv.org/abs/2009.00690v1

    • [cs.LG]LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting
    Christos Koutlis, Symeon Papadopoulos, Manos Schinas, Ioannis Kompatsiaris
    http://arxiv.org/abs/2009.00945v1

    • [cs.LG]Lifelong Graph Learning
    Chen Wang, Yuheng Qiu, Sebastian Scherer
    http://arxiv.org/abs/2009.00647v1

    • [cs.LG]Mutual Teaching for Graph Convolutional Networks
    Kun Zhan, Chaoxi Niu
    http://arxiv.org/abs/2009.00952v1

    • [cs.LG]Online system identification in a Duffing oscillator by free energy minimisation
    Wouter M Kouw
    http://arxiv.org/abs/2009.00845v1

    • [cs.LG]Overcoming Negative Transfer: A Survey
    Wen Zhang, Lingfei Deng, Dongrui Wu
    http://arxiv.org/abs/2009.00909v1

    • [cs.LG]Properties of f-divergences and f-GAN training
    Matt Shannon
    http://arxiv.org/abs/2009.00757v1

    • [cs.LG]Robust, Accurate Stochastic Optimization for Variational Inference
    Akash Kumar Dhaka, Alejandro Catalina, Michael Riis Andersen, Måns Magnusson, Jonathan H. Huggins, Aki Vehtari
    http://arxiv.org/abs/2009.00666v1

    • [cs.LG]Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction
    Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu
    http://arxiv.org/abs/2009.00792v1

    • [cs.LG]Self-supervised Smoothing Graph Neural Networks
    Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang
    http://arxiv.org/abs/2009.00934v1

    • [cs.LG]Topology and Neural Networks
    Mustafa Hajij, Kyle Istvan
    http://arxiv.org/abs/2008.13697v2

    • [cs.LG]Travel time prediction for congested freeways with a dynamic linear model
    Semin Kwak, Nikolas Geroliminis
    http://arxiv.org/abs/2009.01016v1

    • [cs.LG]Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
    Yanchao Sun, Furong Huang
    http://arxiv.org/abs/2009.00774v1

    • [cs.NE]Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation
    D. Corus, P. S. Oliveto, D. Yazdani
    http://arxiv.org/abs/2009.00990v1

    • [cs.RO]3D Collision-Force-Map for Safe Human-Robot Collaboration
    Petr Svarny, Jakub Rozlivek, Lukas Rustler, Matej Hoffmann
    http://arxiv.org/abs/2009.01036v1

    • [cs.RO]A Novel Design of Soft Robotic Hand with a Human-inspired Soft Palm for Dexterous Grasping
    Haihang Wang, Fares J. Abu-Dakka, Tran Nguyen Le, Ville Kyrki, He Xu
    http://arxiv.org/abs/2009.00979v1

    • [cs.RO]An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction
    Elizabeth A. Ricci, Madeleine Udell, Ross A. Knepper
    http://arxiv.org/abs/2009.01168v1

    • [cs.RO]Control Framework for a Hybrid-steel Bridge Inspection Robot
    Hoang-Dung Bui, Son Nguyen, U-H. Billah, Chuong Le, Alireza Tavakkoli, Hung M. La
    http://arxiv.org/abs/2009.00740v1

    • [cs.RO]Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning
    Nathan Lambert, Craig Schindler, Daniel Drew, Kristofer Pister
    http://arxiv.org/abs/2009.01221v1

    • [cs.RO]Turning machines
    Irina Kostitsyna, Cai Wood, Damien Woods
    http://arxiv.org/abs/2009.00755v1

    • [cs.SE]Understanding Peer Review of Software Engineering Papers
    Neil A. Ernst, Jeffrey C. Carver, Daniel Mendez, Marco Torchiano
    http://arxiv.org/abs/2009.01209v1

    • [cs.SI]Exact Recovery of Community Detection in k-Community Gaussian Mixture Model
    Zhongyang Li
    http://arxiv.org/abs/2009.01185v1

    • [cs.SI]Heterogeneous Graph Neural Network for Recommendation
    Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou
    http://arxiv.org/abs/2009.00799v1

    • [cs.SI]Information Source Finding in Networks: Querying with Budgets
    Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi
    http://arxiv.org/abs/2009.00795v1

    • [cs.SI]Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections
    Ali Tavasoli, Ehsan Ardjmand, Heman Shakeri
    http://arxiv.org/abs/2008.13036v2

    • [cs.SI]Scaling Attributed Network Embedding to Massive Graphs
    Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
    http://arxiv.org/abs/2009.00826v1

    • [cs.SI]Structural balance of alliance and rivalry networks in international relations
    Koji Oishi, Kentaro Sakuwa
    http://arxiv.org/abs/2009.00369v2

    • [eess.AS]Multimodal Inductive Transfer Learning for Detection of Alzheimer’s Dementia and its Severity
    Utkarsh Sarawgi, Wazeer Zulfikar, Nouran Soliman, Pattie Maes
    http://arxiv.org/abs/2009.00700v1

    • [eess.AS]Neural Architecture Search For Keyword Spotting
    Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
    http://arxiv.org/abs/2009.00165v2

    • [eess.AS]Speaker Representation Learning using Global Context Guided Channel and Time-Frequency Transformations
    Wei Xia, John H. L. Hansen
    http://arxiv.org/abs/2009.00768v1

    • [eess.AS]WaveGrad: Estimating Gradients for Waveform Generation
    Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
    http://arxiv.org/abs/2009.00713v1

    • [eess.IV]Breast mass detection in digital mammography based on anchor-free architecture
    Haichao Cao
    http://arxiv.org/abs/2009.00857v1

    • [eess.IV]Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation
    Sajjad Abbasi, Mohsen Hajabdollahi, Pejman Khadivi, Nader Karimi, Roshanak Roshandel, Shahram Shirani, Shadrokh Samavi
    http://arxiv.org/abs/2009.00982v1

    • [eess.IV]DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
    Lufan Chang, Wenjing Zhuang, Richeng Wu, Sai Feng, Hao Liu, Jing Yu, Jia Ding, Ziteng Wang, Jiaqi Zhang
    http://arxiv.org/abs/2009.00908v1

    • [eess.IV]Efficient, high-performance pancreatic segmentation using multi-scale feature extraction
    Moritz Knolle, Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Daniel Sasse, Marcus Makowski, Daniel Rueckert, Rickmer Braren
    http://arxiv.org/abs/2009.00872v1

    • [eess.IV]Operational vs Convolutional Neural Networks for Image Denoising
    Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
    http://arxiv.org/abs/2009.00612v1

    • [eess.IV]Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data
    Filippo Maria Castelli, Matteo Roffilli, Giacomo Mazzamuto, Irene Costantini, Ludovico Silvestri, Francesco Saverio Pavone
    http://arxiv.org/abs/2009.00029v2

    • [eess.SY]A reinforcement learning approach to hybrid control design
    Meet Gandhi, Atreyee Kundu, Shalabh Bhatnagar
    http://arxiv.org/abs/2009.00821v1

    • [eess.SY]Efficient Multi-Robot Exploration with Energy Constraint based on Optimal Transport Theory
    Rabiul Hasan Kabir, Kooktae Lee
    http://arxiv.org/abs/2009.00862v1

    • [eess.SY]Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
    Marcus Aloysius Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou
    http://arxiv.org/abs/2009.01196v1

    • [math.NA]The connections between Lyapunov functions for some optimization algorithms and differential equations
    J. M. Sanz-Serna, Konstantinos C. Zygalakis
    http://arxiv.org/abs/2009.00673v1

    • [math.OC]Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search
    Ziyi Wang, Oswin So, Keuntaek Lee, Camilo A. Duarte, Evangelos A. Theodorou
    http://arxiv.org/abs/2009.01090v1

    • [math.OC]Extensions to the Proximal Distance of Method of Constrained Optimization
    Alfonso Landeros, Oscar Hernan Madrid Padilla, Hua Zhou, Kenneth Lange
    http://arxiv.org/abs/2009.00801v1

    • [math.ST]Finite sample breakdown point of multivariate regression depth median
    Yijun Zuo
    http://arxiv.org/abs/2009.00646v1

    • [math.ST]Simultaneous inference for Berkson errors-in-variables regression under fixed design
    Katharina Proksch, Nicolai Bissantz, Hajo Holzmann
    http://arxiv.org/abs/2009.00936v1

    • [math.ST]Universal Inference with Composite Likelihoods
    Hien Duy Nguyen
    http://arxiv.org/abs/2009.00848v1

    • [physics.comp-ph]On Open and Strong-Scaling Tools for Atom Probe Crystallography: High-Throughput Methods for Indexing Crystal Structure and Orientation
    Markus Kühbach, Matthew Kasemer, Baptiste Gault, Andrew Breen
    http://arxiv.org/abs/2009.00735v1

    • [q-bio.MN]Information Rates of Controlled Protein Interactions Using Terahertz Communication
    Hadeel Elayan, Andrew W. Eckford, Raviraj Adve
    http://arxiv.org/abs/2009.01060v1

    • [q-bio.MN]VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA
    Carlos Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jerome Waldispuhl
    http://arxiv.org/abs/2009.00664v1

    • [q-bio.QM]Models of benthic bipedalism
    F. Giardina, L. Mahadevan
    http://arxiv.org/abs/2009.00776v1

    • [stat.AP]A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations
    Zhou Lan, Le Bao
    http://arxiv.org/abs/2009.01099v1

    • [stat.AP]Analysis of survival data with non-proportional hazards: A comparison of propensity score weighted methods
    Elizabeth A. Handorf, Marc Smaldone, Sujana Movva, Nandita Mitra
    http://arxiv.org/abs/2009.00785v1

    • [stat.AP]Self-driving car safety quantification via component-level analysis
    Juozas Vaicenavicius, Tilo Wiklund, Austė Grigaite, Ignas Vysniauskas, Steven Keen
    http://arxiv.org/abs/2009.01119v1

    • [stat.AP]The battle of total-order sensitivity estimators
    Arnald Puy, William Becker, Samuele Lo Piano, Andrea Saltelli
    http://arxiv.org/abs/2009.01147v1

    • [stat.CO]A simple algorithm for global sensitivity analysis with Shapley effects
    Takashi Goda
    http://arxiv.org/abs/2009.00874v1

    • [stat.ME]An Approximation Scheme for Multivariate Information based on Partial Information Decomposition
    Masahiro Takimoto
    http://arxiv.org/abs/2009.00791v1

    • [stat.ME]An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture based clustering
    Christian Hennig, Pietro Coretto
    http://arxiv.org/abs/2009.00921v1

    • [stat.ME]Estimating the reciprocal of a binomial proportion
    Jiajin Wei, Ping He, Tiejun Tong
    http://arxiv.org/abs/2009.00827v1

    • [stat.ME]Evaluating Catchment Models as Multiple Working Hypotheses: on the Role of Error Metrics, Parameter Sampling, Model Structure, and Data Information Content
    Sina Khatami, Timothy John Peterson, Murray C Peel, Andrew Western
    http://arxiv.org/abs/2009.00729v1

    • [stat.ME]Informative Goodness-of-Fit for Multivariate Distributions
    Sara Algeri
    http://arxiv.org/abs/2009.00503v2