cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.HC - 人机接口 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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Batch Monte Carlo Tree Search
    • [cs.AI]Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
    • [cs.AI]Sequential Online Chore Division for Autonomous Vehicle Convoy Formation
    • [cs.AI]Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems
    • [cs.CL]A Sketch-Based Neural Model for Generating Commit Messages from Diffs
    • [cs.CL]A preliminary study on evaluating Consultation Notes with Post-Editing
    • [cs.CL]AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification
    • [cs.CL]AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With
    • [cs.CL]An Empirical Comparison of Instance Attribution Methods for NLP
    • [cs.CL]Annotating and Modeling Fine-grained Factuality in Summarization
    • [cs.CL]BERT-based Chinese Text Classification for Emergency Domain with a Novel Loss Function
    • [cs.CL]Chinese Character Decomposition for Neural MT with Multi-Word Expressions
    • [cs.CL]Design and Implementation of English To Yoruba Verb Phrase Machine Translation System
    • [cs.CL]Did they answer? Subjective acts and intents in conversational discourse
    • [cs.CL]Efficient Large-Scale Language Model Training on GPU Clusters
    • [cs.CL]Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals
    • [cs.CL]Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
    • [cs.CL]Grapheme-to-Phoneme Transformer Model for Transfer Learning Dialects
    • [cs.CL]Incorporating External Knowledge to Enhance Tabular Reasoning
    • [cs.CL]Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation
    • [cs.CL]Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking
    • [cs.CL]Language model fusion for streaming end to end speech recognition
    • [cs.CL]Larger-Context Tagging: When and Why Does It Work?
    • [cs.CL]Noisy-Labeled NER with Confidence Estimation
    • [cs.CL]Studying Alignment in Spontaneous Speech via Automatic Methods: How Do Children Use Task-specific Referents to Succeed in a Collaborative Learning Activity?
    • [cs.CL]Towards objectively evaluating the quality of generated medical summaries
    • [cs.CL]XFORMAL: A Benchmark for Multilingual Formality Style Transfer
    • [cs.CR]Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication
    • [cs.CV]A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
    • [cs.CV]Auxiliary Tasks and Exploration Enable ObjectNav
    • [cs.CV]Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam
    • [cs.CV]Bootstrapping Semantic Segmentation with Regional Contrast
    • [cs.CV]Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps
    • [cs.CV]CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
    • [cs.CV]Class-Wise Principal Component Anal
    1000
    ysis for hyperspectral image feature extraction
    • [cs.CV]Combined Depth Space based Architecture Search For Person Re-identification
    • [cs.CV]CondenseNet V2: Sparse Feature Reactivation for Deep Networks
    • [cs.CV]Context-self contrastive pretraining for crop type semantic segmentation
    • [cs.CV]Direct Differentiable Augmentation Search
    • [cs.CV]Direct-PoseNet: Absolute Pose Regression with Photometric Consistency
    • [cs.CV]FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
    • [cs.CV]Fill-in-the-blank as a Challenging Video Understanding Evaluation Framework
    • [cs.CV]Flow-based Autoregressive Structured Prediction of Human Motion
    • [cs.CV]GATSBI: Generative Agent-centric Spatio-temporal Object Interaction
    • [cs.CV]Generative Landmarks
    • [cs.CV]Ice Core Science Meets Computer Vision: Challenges and Perspectives
    • [cs.CV]Image-based Virtual Fitting Room
    • [cs.CV]Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features
    • [cs.CV]Learning Position and Target Consistency for Memory-based Video Object Segmentation
    • [cs.CV]Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding
    • [cs.CV]MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection
    • [cs.CV]Multimodal Face Synthesis from Visual Attributes
    • [cs.CV]Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key
    • [cs.CV]Reinforced Attention for Few-Shot Learning and Beyond
    • [cs.CV]Rock Hunting With Martian Machine Vision
    • [cs.CV]SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size
    • [cs.CV]SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
    • [cs.CV]Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability
    • [cs.CV]Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks
    • [cs.CV]Social Media Images Classification Models for Real-time Disaster Response
    • [cs.CV]Spatially-Varying Outdoor Lighting Estimation from Intrinsics
    • [cs.CV]Stereo Matching by Self-supervision of Multiscopic Vision
    • [cs.CV]TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
    • [cs.CV]TaylorMade VDD: Domain-adaptive Visual Defect Detector for High-mix Low-volume Production of Non-convex Cylindrical Metal Objects
    • [cs.CV]Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
    • [cs.CV]Video-aided Unsupervised Grammar Induction
    • [cs.CY]A Few Observations About State-Centric Online Propaganda
    • [cs.CY]Auditing for Discrimination in Algorithms Delivering Job Ads
    • [cs.CY]Investigating sentence severity with judicial open data — A case study on sentencing high-tech crime in the Dutch criminal justice system
    • [cs.CY]Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge
    • [cs.DB]Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
    • [cs.DC]Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
    • [cs.DC]Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems
    • [cs.DC]Read-Write Quorum Systems Made Practical
    • [cs.DC]Security, Performance and Energy Implications of Hardware-assisted Memory Protection Mechanisms on Event-based Streaming Systems
    • [cs.DL]It’s All About The Cards: Sharing on Social Media Probably Encouraged HTML Metadata Growth
    • [cs.HC]Automatic Knowledge Extraction with Human Interface
    • [cs.HC]Exploring Current User Web Search Behaviours in Analysis Tasks to be Supported in Conversational Search
    • [cs.HC]Helping People Deal With Disinformation — A Socio-Technical Perspective
    • [cs.HC]Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
    • [cs.IT]Amplitude, Phase, and Quadrant (APQ) Modulation for Indoor Visible Light Communications
    • [cs.IT]Manchester Encoding for Non-coherent Detection of Ambient Backscatter in Time-Selective Fading
    • [cs.IT]NOMA-Based Hybrid Satellite-UAV-Terrestrial Networks for Beyond 5G Maritime Internet of Things
    • [cs.IT]Sparse Channel Estimation in Wideband Systems with Geometric Sequence Decomposition
    • [cs.IT]Ternary primitive LCD BCH codes
    • [cs.LG]A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning
    • [cs.LG]A Graph VAE and Graph Transformer Approach to Generating Molecular Graphs
    • [cs.LG]A Theoretical Analysis of Learning with Noisily Labeled Data
    • [cs.LG]Behavior-Guided Actor-Critic: Improving Exploration via Learning Policy Behavior Representation for Deep Reinforcement Learning
    • [cs.LG]Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge
    • [cs.LG]CropGym: a Reinforcement Learning Environment for Crop Management
    • [cs.LG]FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search
    • [cs.LG]Granger Causality Based Hierarchical Time Series Clustering for State Estimation
    • [cs.LG]INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]
    • [cs.LG]Implementing Fair Regression In The Real World
    • [cs.LG]Individual Explanations in Machine Learning Models: A Case Study on Poverty Estimation
    • [cs.LG]Individual Explanations in MachineLearning Models: A Survey for Practitioners
    • [cs.LG]Inverse Reinforcement Learning a Control Lyapunov Approach
    • [cs.LG]Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning
    • [cs.LG]Learning Sampling Policy for Faster Derivative Free Optimization
    • [cs.LG]Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
    • [cs.LG]Provable Repair of Deep Neural Networks
    • [cs.LG]Relating Adversarially Robust Generalization to Flat Minima
    • [cs.LG]Transforming Feature Space to Interpret Machine Learning Models
    • [cs.LG]Unsupervised Class-Incremental Learning Through Confusion
    • [cs.LG]eGAN: Unsupervised approach to class imbalance using transfer learning
    • [cs.NE]Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings
    • [cs.NE]Population network structure impacts genetic algorithm optimisation performance
    • [cs.NE]Stagnation Detection in Highly Multimodal Fitness Landscapes
    • [cs.PF]A Preliminary Proposal for an Analytical Model for Evaluating the Impact on Performance of Data Access Patterns in Transaction Execution
    • [cs.PL]Stream Processing With Dependency-Guided Synchronization
    • [cs.RO]3D Ensemble-Based Online Oceanic Flow Field Estimation for Underwater Glider Path Planning
    • [cs.RO]Combined Sampling and Optimization Based Planning for Legged-Wheeled Robots
    • [cs.RO]Distributed Bayesian Online Learning for Cooperative Manipulation
    • [cs.RO]Legged Robot State Estimation in Slippery Environments Using Invariant Extended Kalman Filter with Velocity Update
    • [cs.RO]Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks
    • [cs.RO]Morpho-evolution with learning using a controller archive as an inheritance mechanism
    • [cs.RO]Rapid Recovery from Robot Failures in Multi-Robot Visibility-Based Pursuit-Evasion
    • [cs.RO]Risk-Aware Lane Selection on Highway with Dynamic Obstacles
    • [cs.RO]Shape, Size, and Fabrication Effects in 3D Printed Granular Jamming Grippers
    • [cs.RO]Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers
    • [cs.SD]Flavored Tacotron: Conditional Learning for Prosodic-linguistic Features
    • [cs.SI]Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS
    • [cs.SI]The Burden of Being a Bridge: Understanding the Role of Multilingual Users during the COVID-19 Pandemic
    • [eess.AS]Feature Replacement and Combination for Hybrid ASR Systems
    • [eess.AS]Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model
    • [eess.IV]Improved TB classification using bone-suppressed chest radiographs
    • [eess.IV]X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model
    • [eess.SY]Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
    • [math.OC]A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds
    • [math.ST]Bayesian Method for Spatial Change-Point Detection of Propagating Event
    • [math.ST]Concentration bounds for the empirical angular measure with statistical learning applications
    • [math.ST]Concentration study of M-estimators using the influence function
    • [math.ST]How rotational invariance of common kernels prevents generalization in high dimensions
    • [math.ST]Powers correlation analysis of non-stationary illiquid assets
    • [math.ST]Sequential (Quickest) Change Detection: Classical Results and New Directions
    • [math.ST]Statistical inference for a stochastic wave equation with Malliavin calculus
    • [physics.soc-ph]Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport
    • [physics.soc-ph]Detecting outlying demand in multi-leg bookings for transportation networks
    • [q-bio.QM]Protein sequence design with deep generative models
    • [stat.AP]A Hierarchical Bayesian Model for Stochastic Spatiotemporal SIR Modeling and Prediction of COVID-19 Cases and Hospitalizations
    • [stat.AP]Routine Hospital-based SARS-CoV-2 Testing Outperforms State-based Data in Predicting Clinical Burden
    • [stat.ME]A Case Study of Nonresponse Bias Analysis
    • [stat.ME]Measurement Errors in Semiparametric Generalized Linear Models
    • [stat.ME]Optimal transport couplings of Gibbs samplers on partitions for unbiased estimation
    • [stat.ME]The Challenge of Small Data: Dynamic Mode Decomposition, Redux
    • [stat.ML]Causal Decision Making and Causal Effect Estimation Are Not the Same… and Why It Matters
    • [stat.ML]Heterogeneous Dense Subhypergraph Detection
    • [stat.ML]Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review

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    • [cs.AI]Batch Monte Carlo Tree Search
    Tristan Cazenave
    http://arxiv.org/abs/2104.04278v1

    • [cs.AI]Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
    Tim Pearce, Jun Zhu
    http://arxiv.org/abs/2104.04258v1

    • [cs.AI]Sequential Online Chore Division for Autonomous Vehicle Convoy Formation
    Harel Yedidsion, Shani Alkoby, Peter Stone
    http://arxiv.org/abs/2104.04159v1

    • [cs.AI]Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems
    Cong Hao, Deming Chen
    http://arxiv.org/abs/2104.04000v1

    • [cs.CL]A Sketch-Based Neural Model for Generating Commit Messages from Diffs
    Nicolae-Teodor Pavel, Traian Rebedea
    http://arxiv.org/abs/2104.04087v1

    • [cs.CL]A preliminary study on evaluating Consultation Notes with Post-Editing
    Francesco Moramarco, Alex Papadopoulos Korfiatis, Aleksandar Savkov, Ehud Reiter
    http://arxiv.org/abs/2104.04402v1

    • [cs.CL]AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification
    Vaibhav Bhat, Anita Yadav, Sonal Yadav, Dhivya Chandrasekran, Vijay Mago
    http://arxiv.org/abs/2104.04517v1

    • [cs.CL]AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With
    Amit Seker, Elron Bandel, Dan Bareket, Idan Brusilovsky, Refael Shaked Greenfeld, Reut Tsarfaty
    http://arxiv.org/abs/2104.04052v1

    • [cs.CL]An Empirical Comparison of Instance Attribution Methods for NLP
    Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh
    http://arxiv.org/abs/2104.04128v1

    • [cs.CL]Annotating and Modeling Fine-grained Factuality in Summarization
    Tanya Goyal, Greg Durrett
    http://arxiv.org/abs/2104.04302v1

    • [cs.CL]BERT-based Chinese Text Classification for Emergency Domain with a Novel Loss Function
    Zhongju Wang, Long Wang, Chao Huang, Xiong Luo
    http://arxiv.org/abs/2104.04197v1

    • [cs.CL]Chinese Character Decomposition for Neural MT with Multi-Word Expressions
    Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton, Paolo Bolzoni
    http://arxiv.org/abs/2104.04497v1

    • [cs.CL]Design and Implementation of English To Yoruba Verb Phrase Machine Translation System
    Safiriyu Eludiora, Benjamin Ajibade
    http://arxiv.org/abs/2104.04125v1

    • [cs.CL]Did they answer? Subjective acts and intents in conversational discourse
    Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk
    http://arxiv.org/abs/2104.04470v1

    • [cs.CL]Efficient Large-Scale Language Model Training on GPU Clusters
    Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia
    http://arxiv.org/abs/2104.04473v1

    • [cs.CL]Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals
    Xi Ye, Rohan Nair, Greg Durrett
    http://arxiv.org/abs/2104.04515v1

    • [cs.CL]Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
    Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji
    http://arxiv.org/abs/2104.04488v1

    • [cs.CL]Grapheme-to-Phoneme Transformer Model for Transfer Learning Dialects
    Eric Engelhart, Mahsa Elyasi, Gaurav Bharaj
    http://arxiv.org/abs/2104.04091v1

    • [cs.CL]Incorporating External Knowledge to Enhance Tabular Reasoning
    J. Neeraja, Vivek Gupta, Vivek Srikumar
    http://arxiv.org/abs/2104.04243v1

    • [cs.CL]Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation
    Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu
    http://arxiv.org/abs/2104.04167v1

    • [cs.CL]Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking
    Weizhe Lin, Bo-Hsian Tseng, Bill Byrne
    http://arxiv.org/abs/2104.04466v1

    • [cs.CL]Language model fusion for streaming end to end speech recognition
    Rodrigo Cabrera, Xiaofeng Liu, Mohammadreza Ghodsi, Zebulun Matteson, Eugene Weinstein, Anjuli Kannan
    http://arxiv.org/abs/2104.04487v1

    • [cs.CL]Larger-Context Tagging: When and Why Does It Work?
    Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu
    http://arxiv.org/abs/2104.04434v1

    • [cs.CL]Noisy-Labeled NER with Confidence Estimation
    Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao
    http://arxiv.org/abs/2104.04318v1

    • [cs.CL]Studying Alignment in Spontaneous Speech via Automatic Methods: How Do Children Use Task-specific Referents to Succeed in a Collaborative Learning Activity?
    Utku Norman, Tanvi Dinkar, Barbara Bruno, Chloé Clavel
    http://arxiv.org/abs/2104.04429v1

    • [cs.CL]Towards objectively evaluating the quality of generated medical summaries
    Francesco Moramarco, Damir Juric, Aleksandar Savkov, Ehud Reiter
    http://arxiv.org/abs/2104.04412v1

    • [cs.CL]XFORMAL: A Benchmark for Multilingual Formality Style Transfer
    Eleftheria Briakou, Di Lu, Ke Zhang, Joel Tetreault
    http://arxiv.org/abs/2104.04108v1

    • [cs.CR]Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication
    Xiquan Guan, Huamin Feng, Weiming Zhang, Hang Zhou, Jie Zhang, Nenghai Yu
    http://arxiv.org/abs/2104.04268v1

    • [cs.CV]A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
    Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert Di
    4c9c
    ck, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
    http://arxiv.org/abs/2104.04443v1

    • [cs.CV]Auxiliary Tasks and Exploration Enable ObjectNav
    Joel Ye, Dhruv Batra, Abhishek Das, Erik Wijmans
    http://arxiv.org/abs/2104.04112v1

    • [cs.CV]Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam
    Minesh Mathew, Mohit Jain, CV Jawahar
    http://arxiv.org/abs/2104.04437v1

    • [cs.CV]Bootstrapping Semantic Segmentation with Regional Contrast
    Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison
    http://arxiv.org/abs/2104.04465v1

    • [cs.CV]Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps
    Heng Fang, Xi Yang, Taichi Kin, Takeo Igarashi
    http://arxiv.org/abs/2104.04291v1

    • [cs.CV]CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
    Zhelun Shen, Yuchao Dai, Zhibo Rao
    http://arxiv.org/abs/2104.04314v1

    • [cs.CV]Class-Wise Principal Component Anal
    1000
    ysis for hyperspectral image feature extraction
    Dimitra Koumoutsou, Eleni Charou, Georgios Siolas, Giorgos Stamou
    http://arxiv.org/abs/2104.04496v1

    • [cs.CV]Combined Depth Space based Architecture Search For Person Re-identification
    Hanjun Li, Gaojie Wu, Wei-Shi Zheng
    http://arxiv.org/abs/2104.04163v1

    • [cs.CV]CondenseNet V2: Sparse Feature Reactivation for Deep Networks
    Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian
    http://arxiv.org/abs/2104.04382v1

    • [cs.CV]Context-self contrastive pretraining for crop type semantic segmentation
    Michail Tarasiou, Riza Alp Guler, Stefanos Zafeiriou
    http://arxiv.org/abs/2104.04310v1

    • [cs.CV]Direct Differentiable Augmentation Search
    Aoming Liu, Zehao Huang, Zhiwu Huang, Naiyan Wang
    http://arxiv.org/abs/2104.04282v1

    • [cs.CV]Direct-PoseNet: Absolute Pose Regression with Photometric Consistency
    Shuai Chen, Zirui Wang, Victor Prisacariu
    http://arxiv.org/abs/2104.04073v1

    • [cs.CV]FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
    Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
    http://arxiv.org/abs/2104.04107v1

    • [cs.CV]Fill-in-the-blank as a Challenging Video Understanding Evaluation Framework
    Santiago Castro, Ruoyao Wang, Pingxuan Huang, Ian Stewart, Nan Liu, Jonathan Stroud, Rada Mihalcea
    http://arxiv.org/abs/2104.04182v1

    • [cs.CV]Flow-based Autoregressive Structured Prediction of Human Motion
    Mohsen Zand, Ali Etemad, Michael Greenspan
    http://arxiv.org/abs/2104.04391v1

    • [cs.CV]GATSBI: Generative Agent-centric Spatio-temporal Object Interaction
    Cheol-Hui Min, Jinseok Bae, Junho Lee, Young Min Kim
    http://arxiv.org/abs/2104.04275v1

    • [cs.CV]Generative Landmarks
    David Ferman, Gaurav Bharaj
    http://arxiv.org/abs/2104.04055v1

    • [cs.CV]Ice Core Science Meets Computer Vision: Challenges and Perspectives
    P. Bohleber, M. Roman, C. Barbante, S. Vascon, K. Siddiqi, M. Pelillo
    http://arxiv.org/abs/2104.04430v1

    • [cs.CV]Image-based Virtual Fitting Room
    Zhiling Huang, Junwen Bu, Jie Chen
    http://arxiv.org/abs/2104.04104v1

    • [cs.CV]Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features
    Zekun Sun, Yujie Han, Zeyu Hua, Na Ruan, Weijia Jia
    http://arxiv.org/abs/2104.04480v1

    • [cs.CV]Learning Position and Target Consistency for Memory-based Video Object Segmentation
    Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin
    http://arxiv.org/abs/2104.04329v1

    • [cs.CV]Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding
    Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao
    http://arxiv.org/abs/2104.04386v1

    • [cs.CV]MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection
    Ryuji Imamura, Kohei Azuma, Atsushi Hanamoto, Atsunori Kanemura
    http://arxiv.org/abs/2104.04289v1

    • [cs.CV]Multimodal Face Synthesis from Visual Attributes
    Xing Di, Vishal M. Patel
    http://arxiv.org/abs/2104.04362v1

    • [cs.CV]Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key
    MaungMaung AprilPyone, Hitoshi Kiya
    http://arxiv.org/abs/2104.04241v1

    • [cs.CV]Reinforced Attention for Few-Shot Learning and Beyond
    Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
    http://arxiv.org/abs/2104.04192v1

    • [cs.CV]Rock Hunting With Martian Machine Vision
    David Noever, Samantha E. Miller Noever
    http://arxiv.org/abs/2104.04359v1

    • [cs.CV]SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size
    Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai
    http://arxiv.org/abs/2104.04191v1

    • [cs.CV]SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
    Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder
    http://arxiv.org/abs/2104.04420v1

    • [cs.CV]Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability
    YeongHyeon Park, JoonSung Lee, Wonseok Park
    http://arxiv.org/abs/2104.04120v1

    • [cs.CV]Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks
    Hichem Sahbi
    http://arxiv.org/abs/2104.04255v1

    • [cs.CV]Social Media Images Classification Models for Real-time Disaster Response
    Firoj Alam, Tanvirul Alam, Ferda Ofli, Muhammad Imran
    http://arxiv.org/abs/2104.04184v1

    • [cs.CV]Spatially-Varying Outdoor Lighting Estimation from Intrinsics
    Yongjie Zhu, Yinda Zhang, Si Li, Boxin Shi
    http://arxiv.org/abs/2104.04160v1

    • [cs.CV]Stereo Matching by Self-supervision of Multiscopic Vision
    Weihao Yuan, Yazhan Zhang, Bingkun Wu, Siyu Zhu, Ping Tan, Michael Yu Wang, Qifeng Chen
    http://arxiv.org/abs/2104.04170v1

    • [cs.CV]TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
    Vida Adeli, Mahsa Ehsanpour, Ian Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi
    http://arxiv.org/abs/2104.04029v1

    • [cs.CV]TaylorMade VDD: Domain-adaptive Visual Defect Detector for High-mix Low-volume Production of Non-convex Cylindrical Metal Objects
    Kyosuke Tashiro, Koji Takeda, Kanji Tanaka, Tomoe Hiroki
    http://arxiv.org/abs/2104.04203v1

    • [cs.CV]Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
    Jonas Dippel, Steffen Vogler, Johannes Höhne
    http://arxiv.org/abs/2104.04323v1

    • [cs.CV]Video-aided Unsupervised Grammar Induction
    Songyang Zhang, Linfeng Song, Lifeng Jin, Kun Xu, Dong Yu, Jiebo Luo
    http://arxiv.org/abs/2104.04369v1

    • [cs.CY]A Few Observations About State-Centric Online Propaganda
    Jukka Ruohonen
    http://arxiv.org/abs/2104.04389v1

    • [cs.CY]Auditing for Discrimination in Algorithms Delivering Job Ads
    Basileal Imana, Aleksandra Korolova, John Heidemann
    http://arxiv.org/abs/2104.04502v1

    • [cs.CY]Investigating sentence severity with judicial open data — A case study on sentencing high-tech crime in the Dutch criminal justice system
    Pieter Hartel, Rolf van Wegberg, Mark van Staalduinen
    http://arxiv.org/abs/2104.04486v1

    • [cs.CY]Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge
    Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang
    http://arxiv.org/abs/2104.04034v1

    • [cs.DB]Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
    Arjit Jain, Sunita Sarawagi, Prithviraj Sen
    http://arxiv.org/abs/2104.03986v1

    • [cs.DC]Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
    Ramyad Hadidi, Jiashen Cao, Hyesoon Kim
    http://arxiv.org/abs/2104.04447v1

    • [cs.DC]Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems
    Chavit Denninnart, Mohsen Amini Salehi
    http://arxiv.org/abs/2104.04474v1

    • [cs.DC]Read-Write Quorum Systems Made Practical
    Michael Whittaker, Aleksey Charapko, Joseph M. Hellerstein, Heidi Howard, Ion Stoica
    http://arxiv.org/abs/2104.04102v1

    • [cs.DC]Security, Performance and Energy Implications of Hardware-assisted Memory Protection Mechanisms on Event-based Streaming Systems
    Christian Göttel, Rafael Pires, Isabelly Rocha, Sébastien Vaucher, Pascal Felber, Marcelo Pasin, Valerio Schiavoni
    http://arxiv.org/abs/2104.03731v2

    • [cs.DL]It’s All About The Cards: Sharing on Social Media Probably Encouraged HTML Metadata Growth
    Shawn M. Jones, Valentina Neblitt-Jones, Michele C. Weigle, Martin Klein, Michael L. Nelson
    http://arxiv.org/abs/2104.04116v1

    • [cs.HC]Automatic Knowledge Extraction with Human Interface
    Steve Schmidt, Denley Lam, Patrick Hayden
    http://arxiv.org/abs/2104.04415v1

    • [cs.HC]Exploring Current User Web Search Behaviours in Analysis Tasks to be Supported in Conversational Search
    Abhishek Kaushik, Gareth J. F. Jones
    http://arxiv.org/abs/2104.04501v1

    • [cs.HC]Helping People Deal With Disinformation — A Socio-Technical Perspective
    Hendrik Heuer
    http://arxiv.org/abs/2104.04311v1

    • [cs.HC]Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
    Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D Weisz
    http://arxiv.org/abs/2104.04375v1

    • [cs.IT]Amplitude, Phase, and Quadrant (APQ) Modulation for Indoor Visible Light Communications
    Hanaa Abumarshoud, Lina Mohjazi, Sami Muhaidat
    http://arxiv.org/abs/2104.04449v1

    • [cs.IT]Manchester Encoding for Non-coherent Detection of Ambient Backscatter in Time-Selective Fading
    J. Kartheek Devineni, Harpreet S. Dhillon
    http://arxiv.org/abs/2104.04085v1

    • [cs.IT]NOMA-Based Hybrid Satellite-UAV-Terrestrial Networks for Beyond 5G Maritime Internet of Things
    Xinran Fang, Wei Feng, Yanmin Wang, Yunfei Chen, Ning Ge
    http://arxiv.org/abs/2104.03755v2

    • [cs.IT]Sparse Channel Estimation in Wideband Systems with Geometric Sequence Decomposition
    Woong-Hee Lee, Ki Won Sung
    http://arxiv.org/abs/2104.04215v1

    • [cs.IT]Ternary primitive LCD BCH codes
    Xinmei Huang, Qin Yue, Yansheng Wu, Xiaoping Shi
    http://arxiv.org/abs/2104.04193v1

    • [cs.LG]A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning
    Reza Sepasdar, Anuj Karpatne, Maryam Shakiba
    http://arxiv.org/abs/2104.04485v1

    • [cs.LG]A Graph VAE and Graph Transformer Approach to Generating Molecular Graphs
    Joshua Mitton, Hans M. Senn, Klaas Wynne, Roderick Murray-Smith
    http://arxiv.org/abs/2104.04345v1

    • [cs.LG]A Theoretical Analysis of Learning with Noisily Labeled Data
    Yi Xu, Qi Qian, Hao Li, Rong Jin
    http://arxiv.org/abs/2104.04114v1

    • [cs.LG]Behavior-Guided Actor-Critic: Improving Exploration via Learning Policy Behavior Representation for Deep Reinforcement Learning
    Ammar Fayad, Majd Ibrahim
    http://arxiv.org/abs/2104.04424v1

    • [cs.LG]Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge
    Prithwish Chakraborty, James Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Yuen Reed, Kenney Ng, Daby Sow, Bradley A. Malin
    http://arxiv.org/abs/2104.04377v1

    • [cs.LG]CropGym: a Reinforcement Learning Environment for Crop Management
    Hiske Overweg, Herman N. C. Berghuijs, Ioannis N. Athanasiadis
    http://arxiv.org/abs/2104.04326v1

    • [cs.LG]FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search
    Chunnan Wang, Bozhou Chen, Geng Li, Hongzhi Wang
    http://arxiv.org/abs/2104.04141v1

    • [cs.LG]Granger Causality Based Hierarchical Time Series Clustering for State Estimation
    Sin Yong Tan, Homagni Saha, Margarite Jacoby, Gregor P. Henze, Soumik Sarkar
    http://arxiv.org/abs/2104.04206v1

    • [cs.LG]INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]**
    Sihem Amer-Yahia, Georgia Koutrika, Frederic Bastian, Theofilos Belmpas, Martin Braschler, Ursin Brunner, Diego Calvanese, Maximilian Fabricius, Orest Gkini, Catherine Kosten, Davide Lanti, Antonis Litke, Hendrik Lücke-Tieke, Francesco Alessandro Massucci, Tarcisio Mendes de Farias, Alessandro Mosca, Francesco Multari, Nikolaos Papadakis, Dimitris Papadopoulos, Yogendra Patil, Aurélien Personnaz, Guillem Rull, Ana Sima, Ellery Smith, Dimitrios Skoutas, Srividya Subramanian, Guohui Xiao, Kurt Stockinger
    http://arxiv.org/abs/2104.04194v1

    • [cs.LG]Implementing Fair Regression In The Real World
    Boris Ruf, Marcin Detyniecki
    http://arxiv.org/abs/2104.04353v1

    • [cs.LG]Individual Explanations in Machine Learning Models: A Case Study on Poverty Estimation
    Alfredo Carrillo, Luis F. Cantú, Luis Tejerina, Alejandro Noriega
    http://arxiv.org/abs/2104.04148v1

    • [cs.LG]Individual Explanations in MachineLearning Models: A Survey for Practitioners
    Alfredo Carrillo, Luis F. Cantú, Alejandro Noriega
    http://arxiv.org/abs/2104.04144v1

    • [cs.LG]Inverse Reinforcement Learning a Control Lyapunov Approach
    Samuel Tesfazgi, Armin Lederer, Sandra Hirche
    http://arxiv.org/abs/2104.04483v1

    • [cs.LG]Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning
    Xueyuan Wang, M. Cenk Gursoy, Tugba Erpek, Yalin E. Sagduyu
    http://arxiv.org/abs/2104.04477v1

    • [cs.LG]Learning Sampling Policy for Faster Derivative Free Optimization
    Zhou Zhai, Bin Gu, Heng Huang
    http://arxiv.org/abs/2104.04405v1

    • [cs.LG]Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
    Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang
    http://arxiv.org/abs/2104.04174v1

    • [cs.LG]Provable Repair of Deep Neural Networks
    Matthew Sotoudeh, Aditya V. Thakur
    http://arxiv.org/abs/2104.04413v1

    • [cs.LG]Relating Adversarially Robust Generalization to Flat Minima
    David Stutz, Matthias Hein, Bernt Schiele
    http://arxiv.org/abs/2104.04448v1

    • [cs.LG]Transforming Feature Space to Interpret Machine Learning Models
    Alexander Brenning
    http://arxiv.org/abs/2104.04295v1

    • [cs.LG]Unsupervised Class-Incremental Learning Through Confusion
    Shivam Khare, Kun Cao, James Rehg
    http://arxiv.org/abs/2104.04450v1

    • [cs.LG]eGAN: Unsupervised approach to class imbalance using transfer learning
    Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis, Nasik Nafi
    http://arxiv.org/abs/2104.04162v1

    • [cs.NE]Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings
    Angel Yanguas-Gil
    http://arxiv.org/abs/2104.04121v1

    • [cs.NE]Population network structure impacts genetic algorithm optimisation performance
    Aymeric Vie
    http://arxiv.org/abs/2104.04254v1

    • [cs.NE]Stagnation Detection in Highly Multimodal Fitness Landscapes
    Amirhossein Rajabi, Carsten Witt
    http://arxiv.org/abs/2104.04395v1

    • [cs.PF]A Preliminary Proposal for an Analytical Model for Evaluating the Impact on Performance of Data Access Patterns in Transaction Execution
    Pierangelo Di Sanzo
    http://arxiv.org/abs/2104.03187v2

    • [cs.PL]Stream Processing With Dependency-Guided Synchronization
    Konstantinos Kallas, Filip Niksic, Caleb Stanford, Rajeev Alur
    http://arxiv.org/abs/2104.04512v1

    • [cs.RO]3D Ensemble-Based Online Oceanic Flow Field Estimation for Underwater Glider Path Planning
    Felix H. Kong, K. Y. Cadmus To, Gary Brassington, Stuart Anstee, Robert Fitch
    http://arxiv.org/abs/2104.04200v1

    • [cs.RO]Combined Sampling and Optimization Based Planning for Legged-Wheeled Robots
    Edo Jelavic, Farbod Farshidian, Marco Hutter
    http://arxiv.org/abs/2104.04247v1

    • [cs.RO]Distributed Bayesian Online Learning for Cooperative Manipulation
    Pablo Budde gen. Dohmann, Armin Lederer, Marcel Dißemond, Sandra Hirche
    http://arxiv.org/abs/2104.04342v1

    • [cs.RO]Legged Robot State Estimation in Slippery Environments Using Invariant Extended Kalman Filter with Velocity Update
    Sangli Teng, Mark Wilfried Mueller, Koushil Sreenath
    http://arxiv.org/abs/2104.04238v1

    • [cs.RO]Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks
    Manuel Traub, Robert Legenstein, Sebastian Otte
    http://arxiv.org/abs/2104.04064v1

    • [cs.RO]Morpho-evolution with learning using a controller archive as an inheritance mechanism
    Léni K. Le Goff, Edgar Buchanan, Emma Hart, Agoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell
    http://arxiv.org/abs/2104.04269v1

    • [cs.RO]Rapid Recovery from Robot Failures in Multi-Robot Visibility-Based Pursuit-Evasion
    Trevor Olsen, Nicholas M. Stiffler, Jason M. O’Kane
    http://arxiv.org/abs/2104.04109v1

    • [cs.RO]Risk-Aware Lane Selection on Highway with Dynamic Obstacles
    Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
    http://arxiv.org/abs/2104.04105v1

    • [cs.RO]Shape, Size, and Fabrication Effects in 3D Printed Granular Jamming Grippers
    David Howard, Jack O’Connor, James Brett, Gary W. Delaney
    http://arxiv.org/abs/2104.04171v1

    • [cs.RO]Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers
    Erdal Kayacan, Erkan Kayacan, Herman Ramon, Okyay Kaynak, Wouter Saeys
    http://arxiv.org/abs/2104.04123v1

    • [cs.SD]Flavored Tacotron: Conditional Learning for Prosodic-linguistic Features
    Mahsa Elyasi, Gaurav Bharaj
    http://arxiv.org/abs/2104.04050v1

    • [cs.SI]Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS
    Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit Sheth
    http://arxiv.org/abs/2104.04140v1

    • [cs.SI]The Burden of Being a Bridge: Understanding the Role of Multilingual Users during the COVID-19 Pandemic
    Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
    http://arxiv.org/abs/2104.04331v1

    • [eess.AS]Feature Replacement and Combination for Hybrid ASR Systems
    Peter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney
    http://arxiv.org/abs/2104.04298v1

    • [eess.AS]Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model
    Nadee Seneviratne, Carol Espy-Wilson
    http://arxiv.org/abs/2104.04195v1

    • [eess.IV]Improved TB classification using bone-suppressed chest radiographs
    Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio, Philip Alderson, Sameer Antani
    http://arxiv.org/abs/2104.04518v1

    • [eess.IV]X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model
    Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Osamu Abe
    http://arxiv.org/abs/2104.04179v1

    • [eess.SY]Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
    Wanchun Liu, Daniel E. Quevedo, Karl H. Johansson, Branka Vucetic, Yonghui Li
    http://arxiv.org/abs/2104.04181v1

    • [math.OC]A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds
    Chao Zhang, Xiaojun Chen, Shiqian Ma
    http://arxiv.org/abs/2104.04199v1

    • [math.ST]Bayesian Method for Spatial Change-Point Detection of Propagating Event
    Topi Halme, Eyal Nitzan, Visa Koivunen
    http://arxiv.org/abs/2104.04335v1

    • [math.ST]Concentration bounds for the empirical angular measure with statistical learning applications
    Stéphan Clémençon, Hamid Jalalzai, Anne Sabourin, Johan Segers
    http://arxiv.org/abs/2104.03966v1

    • [math.ST]Concentration study of M-estimators using the influence function
    Timothée Mathieu
    http://arxiv.org/abs/2104.04416v1

    • [math.ST]How rotational invariance of common kernels prevents generalization in high dimensions
    Konstantin Donhauser, Mingqi Wu, Fanny Yang
    http://arxiv.org/abs/2104.04244v1

    • [math.ST]Powers correlation analysis of non-stationary illiquid assets
    Valentin Patilea, Hamdi Raïssi
    http://arxiv.org/abs/2104.04472v1

    • [math.ST]Sequential (Quickest) Change Detection: Classical Results and New Directions
    Liyan Xie, Shaofeng Zou, Yao Xie, Venugopal V. Veeravalli
    http://arxiv.org/abs/2104.04186v1

    • [math.ST]Statistical inference for a stochastic wave equation with Malliavin calculus
    F. Delgado-Vences, J. J. Pavon-Español
    http://arxiv.org/abs/2104.04176v1

    • [physics.soc-ph]Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport
    Oded Cats, Rafał Kucharski, Santosh Rao Danda, Menno Yap
    http://arxiv.org/abs/2104.04208v1

    • [physics.soc-ph]Detecting outlying demand in multi-leg bookings for transportation networks
    Nicola Rennie, Catherine Cleophas, Adam M. Sykulski, Florian Dost
    http://arxiv.org/abs/2104.04157v1

    • [q-bio.QM]Protein sequence design with deep generative models
    Zachary Wu, Kadina E. Johnston, Frances H. Arnold, Kevin K. Yang
    http://arxiv.org/abs/2104.04457v1

    • [stat.AP]A Hierarchical Bayesian Model for Stochastic Spatiotemporal SIR Modeling and Prediction of COVID-19 Cases and Hospitalizations
    Curtis B. Storlie, Ricardo L. Rojas, Gabriel O. Demuth, Benjamin D. Pollock, Patrick W. Johnson, Patrick M. Wilson, Ethan P. Heinzen, Hongfang Liu, Rickey E. Carter, Sean C. Dowdy, Shannon M. Dunlay, Elizabeth B. Habermann, Daryl J. Kor, Matthew R. Neville, Andrew H. Limper, Katherine H. Noe, Mohamad Bydon, Pablo Moreno Franco, Priya Sampathkumar, Nilay D. Shah, Henry H. Ting
    http://arxiv.org/abs/2104.04033v1

    • [stat.AP]Routine Hospital-based SARS-CoV-2 Testing Outperforms State-based Data in Predicting Clinical Burden
    Len Covello, Andrew Gelman, Yajuan Si, Siquan Wang
    http://arxiv.org/abs/2104.04435v1

    • [stat.ME]A Case Study of Nonresponse Bias Analysis
    Yajuan Si, Roderick J. A. Little, Ya Mo, Nell Sedransk
    http://arxiv.org/abs/2104.04432v1

    • [stat.ME]Measurement Errors in Semiparametric Generalized Linear Models
    Mohammad W. Hattab
    http://arxiv.org/abs/2104.04190v1

    • [stat.ME]Optimal transport couplings of Gibbs samplers on partitions for unbiased estimation
    Tin D. Nguyen, Brian L. Trippe, Tamara Broderick
    http://arxiv.org/abs/2104.04514v1

    • [stat.ME]The Challenge of Small Data: Dynamic Mode Decomposition, Redux
    Amirhossein Karimi, Tryphon T. Georgiou
    http://arxiv.org/abs/2104.04005v1

    • [stat.ML]Causal Decision Making and Causal Effect Estimation Are Not the Same… and Why It Matters
    Carlos Fernández-Loría, Foster Provost
    http://arxiv.org/abs/2104.04103v1

    • [stat.ML]Heterogeneous Dense Subhypergraph Detection
    Mingao Yuan, Zuofeng Shang
    http://arxiv.org/abs/2104.04047v1

    • [stat.ML]Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review
    Daniel Ahfock, Geoffrey J. McLachlan
    http://arxiv.org/abs/2104.04046v1