cond-mat.dis-nn - 无序系统与神经网络

    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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.CP -计算金融学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Probing Criticality in Quantum Spin Chains with Neural Networks
    • [cs.AI]A multi-component framework for the analysis and design of explainable artificial intelligence
    • [cs.AI]Explainable AI for Classification using Probabilistic Logic Inference
    • [cs.AI]Generalized Planning With Deep Reinforcement Learning
    • [cs.AI]Learning programs by learning from failures
    • [cs.AI]P2ExNet: Patch-based Prototype Explanation Network
    • [cs.AI]Post-hoc explanation of black-box classifiers using confident itemsets
    • [cs.CL]A Survey on Dialog Management: Recent Advances and Challenges
    • [cs.CL]ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents
    • [cs.CL]Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization
    • [cs.CL]CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using Non-Expert Crowd
    • [cs.CL]Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection
    • [cs.CL]Creating a Multimodal Dataset of Images and Text to Study Abusive Language
    • [cs.CL]Data Augmentation for Hypernymy Detection
    • [cs.CL]Digraph of Senegal s local languages: issues, challenges and prospects of their transliteration
    • [cs.CL]Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
    • [cs.CL]Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change
    • [cs.CL]End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Layer-wise Transfer Learning
    • [cs.CL]Establishing Baselines for Text Classification in Low-Resource Languages
    • [cs.CL]Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?
    • [cs.CL]ExpBERT: Representation Engineering with Natural Language Explanations
    • [cs.CL]Exploring Content Selection in Summarization of Novel Chapters
    • [cs.CL]Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer
    • [cs.CL]Exploring Controllable Text Generation Techniques
    • [cs.CL]FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph
    • [cs.CL]Fine-grained Opinion Mining in Financial Data: A Survey and Research Agenda
    • [cs.CL]Generating SOAP Notes from Doctor-Patient Conversations
    • [cs.CL]Minimally Supervised Categorization of Text with Metadata
    • [cs.CL]Neural CRF Model for Sentence Alignment in Text Simplification
    • [cs.CL]Neural Syntactic Preordering for Controlled Paraphrase Generation
    • [cs.CL]OpinionDigest: A Simple Framework for Opinion Summarization
    • [cs.CL]Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
    • [cs.CL]Query Reformulation using Query History for Passage Retrieval in Conversational Search
    • [cs.CL]Self-organizing Pattern in Multilayer Network for Words and Syllables
    • [cs.CL]Soft Gazetteers for Low-Resource Named Entity Recognition
    • [cs.CL]Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words
    • [cs.CL]Understanding Scanned Receipts
    • [cs.CR]CPU and GPU Accelerated Fully Homomorphic Encryption
    • [cs.CR]Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security
    • [cs.CR]Stealing Links from Graph Neural Networks
    • [cs.CR]Toward Equilibria and Solvability of Blockchain Pooling Strategies: A Topological Approach
    • [cs.CR]When Machine Unlearning Jeopardizes Privacy
    • [cs.CV]AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
    • [cs.CV]Adaptive Interaction Modeling via Graph Operations Search
    • [cs.CV]Adversarial Training against Location-Optimized Adversarial Patches
    • [cs.CV]AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
    • [cs.CV]Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
    • [cs.CV]Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera
    • [cs.CV]From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
    • [cs.CV]Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies
    • [cs.CV]HOG, LBP and SVM based Traffic Density Estimation at Intersection
    • [cs.CV]Illumination-Invariant Image from 4-Channel Images: The Effect of Near-Infrared Data in Shadow Removal
    • [cs.CV]LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands and Water from Aerial Imagery
    • [cs.CV]Learning of Art Style Using AI and Its Evaluation Based on Psychological Experiments
    • [cs.CV]Learning-based Tracking of Fast Moving Objects
    • [cs.CV]Modal features for image texture classification
    • [cs.CV]Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection
    • [cs.CV]Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video
    • [cs.CV]Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification
    • [cs.CV]Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data
    • [cs.CV]StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching
    • [cs.CV]Streaming Object Detection for 3-D Point Clouds
    • [cs.CV]Sub-Image Anomaly Detection with Deep Pyramid Correspondences
    • [cs.CV]Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
    • [cs.CY]A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017
    • [cs.CY]Data Science as a Route to AI for Middle- and High-School Students
    • [cs.CY]GDPR: When the Right to Access Personal Data Becomes a Threat
    • [cs.CY]Heuristic-Based Weak Learning for Moral Decision-Making
    • [cs.CY]Mechanisms of intermediary platforms
    • [cs.CY]Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios
    • [cs.DB]Guided Link-Traversal-Based Query Processing
    • [cs.DC]Industrial Control via Application Containers:Maintaining determinism in IAAS
    • [cs.DC]JaxNet: Scalable Blockchain Network
    • [cs.DC]Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters
    • [cs.HC]Chasing Lions: Co-Designing Human-Drone Interaction in Sub-Saharan Africa
    • [cs.HC]Detection of Human Contact by Thermal Exchange Observer of Robot Skin
    • [cs.HC]Don’t Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition
    • [cs.IR]Hierarchical Knowledge Graphs: A Novel Information Representation for Exploratory Search Tasks
    • [cs.IR]PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks
    • [cs.IR]SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search
    • [cs.IR]Semi-supervised lung nodule retrieval
    • [cs.IT]Adaptive Coded Modulation for IM/DD Free-Space Optical Backhauling: A Probabilistic Shaping Approach
    • [cs.IT]Energy Efficiency Optimization for NOMA UAV Network with Imperfect CSI
    • [cs.IT]Parametric Phase Tracking via Expectation Propagation
    • [cs.IT]Precoder Design and Statistical Power Allocation for MIMO-NOMA via User-Assisted Simultaneous Diagonalization
    • [cs.IT]mmWave Channel Estimation via Approximate Message Passing with Side Information
    • [cs.LG]A learning problem whose consistency is equivalent to the non-existence of real-valued measurable cardinals
    • [cs.LG]A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds
    • [cs.LG]Adaptive Low-Rank Factorization to regularize shallow and deep neural networks
    • [cs.LG]CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
    • [cs.LG]Classification-Based Anomaly Detection for General Data
    • [cs.LG]Clustering for Graph Datasets via Gumbel Softmax
    • [cs.LG]Demand-Side Scheduling Based on Deep Actor-Critic Learning for Smart Grids
    • [cs.LG]Discrete-to-Deep Supervised Policy Learning
    • [cs.LG]Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
    • [cs.LG]Global explanations for discovering bias in data
    • [cs.LG]Hyper-parameter Tuning for the Contextual Bandit
    • [cs.LG]Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
    • [cs.LG]Learning selection strategies in Buchberger’s algorithm
    • [cs.LG]Localized active learning of Gaussian process state space models
    • [cs.LG]Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
    • [cs.LG]On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
    • [cs.LG]One-step regression and classification with crosspoint resistive memory arrays
    • [cs.LG]Regret Bounds for Safe Gaussian Process Bandit Optimization
    • [cs.LG]Sample Complexity of Uniform Convergence for Multicalibration
    • [cs.LG]Time Dependence in Non-Autonomous Neural ODEs
    • [cs.LO]Encoding Linear Constraints into SAT
    • [cs.LO]Superposition for Lambda-Free Higher-Order Logic
    • [cs.MA]Using Machine Learning to Emulate Agent-Based Simulations
    • [cs.MM]II-20: Intelligent and pragmatic analytic categorization of image collections
    • [cs.NE]Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection
    • [cs.RO]A Versatile Data-Driven Framework for Model-Independent Control of Continuum Manipulators Interacting With Obstructed Environments With Unknown Geometry and Stiffness
    • [cs.RO]Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
    • [cs.RO]RadarSLAM: Radar based Large-Scale SLAM in All Weathers
    • [cs.RO]SROM: Simple Real-time Odometry and Mapping using LiDAR data for Autonomous Vehicles
    • [cs.SI]Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit
    • [cs.SI]Weak ties strengthen anger contagion in social media
    • [eess.IV]3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19
    • [eess.IV]Comparison of Image Quality Models for Optimization of Image Processing Systems
    • [eess.IV]NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
    • [eess.IV]NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
    • [eess.SP]3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors
    • [eess.SP]Effect of the sEMG electrode (re)placement and feature set size on the hand movement recognition
    • [eess.SY]A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications
    • [eess.SY]AoI-based Finite Horizon Scheduling for Heterogeneous Networked Control Systems
    • [math.OC]Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
    • [math.OC]Online Convex Optimization with Binary Constraints
    • [physics.ao-ph]Predicting atmospheric optical properties for radiative transfer computations using neural networks
    • [physics.comp-ph]Ensemble Learning of Coarse-Grained Molecular Dynamics Force Fields with a Kernel Approach
    • [physics.comp-ph]Off-the-shelf deep learning is not enough: parsimony, Bayes and causality
    • [physics.soc-ph]Can gender inequality be created without inter-group discrimination?
    • [physics.soc-ph]Community detection based on first passage probabilities
    • [physics.soc-ph]The effect of social balance on social fragmentation
    • [q-bio.NC]Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data
    • [q-bio.QM]Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning
    • [q-fin.CP]Differential Machine Learning
    • [q-fin.CP]Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box
    • [stat.AP]A simple test for causality in complex systems
    • [stat.AP]Bayesian longitudinal models for exploring European sardine fishing in the Mediterranean Sea
    • [stat.AP]Coronavirus and sports leagues: how to obtaina fair ranking if the season cannot resume?
    • [stat.AP]Data-Driven Modeling Reveals the Impact of Stay-at-Home Orders on Human Mobility during the COVID-19 Pandemic in the U.S
    • [stat.AP]Fish should not be in isolation: Calculating maximum sustainable yield using an ensemble model
    • [stat.AP]Is Time to Intervention in the COVID-19 Outbreak Really Important? A Global Sensitivity Analysis Approach
    • [stat.AP]Protocol for a Study of the Effect of Surface Mining in Central Appalachia on Adverse Birth Outcomes
    • [stat.AP]Simple models for COVID-19 death and fatal infection profiles
    • [stat.AP]portes: An R Package for Portmanteau Tests in Time Series Models
    • [stat.ME]Cluster-based dual evolution for multivariate systems
    • [stat.ME]Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods
    • [stat.ME]Finite Sample Smeariness of Fréchet Means and Application to Climate
    • [stat.ME]Frequency Detection and Change Point Estimation for Time Series of Complex Oscillation
    • [stat.ME]Hierarchical spatial log Gaussian Cox process model for replicated point patterns
    • [stat.ME]Homogeneity Tests of Covariance and Change-Points Identification for High-Dimensional Functional Data
    • [stat.ME]Inference with many correlated weak instruments and summary statistics
    • [stat.ME]Overcoming the inconsistences of the variance inflation factor: a redefined VIF and a test to detect statistical troubling multicollinearity
    • [stat.ME]The Murphy Decomposition and the Calibration-Resolution Principle: A New Perspective on Forecast Evaluation
    • [stat.ML]Complex Amplitude-Phase Boltzmann Machines
    • [stat.ML]Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models
    • [stat.ML]Designing Data Augmentation for Simulating Interventions
    • [stat.ML]Fitting Laplacian Regularized Stratified Gaussian Models

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    • [cond-mat.dis-nn]Probing Criticality in Quantum Spin Chains with Neural Networks
    A Berezutskii, M Beketov, D Yudin, Z Zimborás, J Biamonte
    http://arxiv.org/abs/2005.02104v1

    • [cs.AI]A multi-component framework for the analysis and design of explainable artificial intelligence
    S. Atakishiyev, H. Babiker, N. Farruque, R. Goebel1, M-Y. Kima, M. H. Motallebi, J. Rabelo, T. Syed, O. R. Zaïane
    http://arxiv.org/abs/2005.01908v1

    • [cs.AI]Explainable AI for Classification using Probabilistic Logic Inference
    Xiuyi Fan, Siyuan Liu, Thomas C. Henderson
    http://arxiv.org/abs/2005.02074v1

    • [cs.AI]Generalized Planning With Deep Reinforcement Learning
    Or Rivlin, Tamir Hazan, Erez Karpas
    http://arxiv.org/abs/2005.02305v1

    • [cs.AI]Learning programs by learning from failures
    Andrew Cropper, Rolf Morel
    http://arxiv.org/abs/2005.02259v1

    • [cs.AI]P2ExNet: Patch-based Prototype Explanation Network
    Dominique Mercier, Andreas Dengel, Sheraz Ahmed
    http://arxiv.org/abs/2005.02006v1

    • [cs.AI]Post-hoc explanation of black-box classifiers using confident itemsets
    Milad Moradi, Matthias Samwald
    http://arxiv.org/abs/2005.01992v1

    • [cs.CL]A Survey on Dialog Management: Recent Advances and Challenges
    Yinpei Dai, Huihua Yu, Yixuan Jiang, Chengguang Tang, Yongbin Li, Jian Sun
    http://arxiv.org/abs/2005.02233v1

    • [cs.CL]ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents
    Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu
    http://arxiv.org/abs/2005.01777v1

    • [cs.CL]Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization
    Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhibodev, Kieran McDonald
    http://arxiv.org/abs/2005.02146v1

    • [cs.CL]CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using Non-Expert Crowd
    Ting-Hao ‘Kenneth’ Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles
    http://arxiv.org/abs/2005.02367v1

    • [cs.CL]Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection
    Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee
    http://arxiv.org/abs/2005.02295v1

    • [cs.CL]Creating a Multimodal Dataset of Images and Text to Study Abusive Language
    Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli
    http://arxiv.org/abs/2005.02235v1

    • [cs.CL]Data Augmentation for Hypernymy Detection
    Thomas Kober, Julie Weeds, Lorenzo Bertolini, David Weir
    http://arxiv.org/abs/2005.01854v1

    • [cs.CL]Digraph of Senegal s local languages: issues, challenges and prospects of their transliteration
    Elhadji Mamadou Nguer, Diop Sokhna Bao, Yacoub Ahmed Fall, Mouhamadou Khoule
    http://arxiv.org/abs/2005.02325v1

    • [cs.CL]Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
    Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert
    http://arxiv.org/abs/2005.01791v1

    • [cs.CL]Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change
    Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu
    http://arxiv.org/abs/2005.02008v1

    • [cs.CL]End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Layer-wise Transfer Learning
    Heng-Jui Chang, Alexander H. Liu, Hung-yi Lee, Lin-shan Lee
    http://arxiv.org/abs/2005.01972v1

    • [cs.CL]Establishing Baselines for Text Classification in Low-Resource Languages
    Jan Christian Blaise Cruz, Charibeth Cheng
    http://arxiv.org/abs/2005.02068v1

    • [cs.CL]Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?
    Peter Hase, Mohit Bansal
    http://arxiv.org/abs/2005.01831v1

    • [cs.CL]ExpBERT: Representation Engineering with Natural Language Explanations
    Shikhar Murty, Pang Wei Koh, Percy Liang
    http://arxiv.org/abs/2005.01932v1

    • [cs.CL]Exploring Content Selection in Summarization of Novel Chapters
    Faisal Ladhak, Bryan Li, Yaser Al-Onaizan, Kathleen McKeown
    http://arxiv.org/abs/2005.01840v1

    • [cs.CL]Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer
    Chulun Zhou, Liangyu Chen, Jiachen Liu, Xinyan Xiao, Jinsong Su, Sheng Guo, Hua Wu
    http://arxiv.org/abs/2005.02049v1

    • [cs.CL]Exploring Controllable Text Generation Techniques
    Shrimai Prabhumoye, Alan W Black, Ruslan Salakhutdinov
    http://arxiv.org/abs/2005.01822v1

    • [cs.CL]FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph
    Majid Asgari-Bidhendi, Behrooz Janfada, Behrouz Minaei-Bidgoli
    http://arxiv.org/abs/2005.01879v1

    • [cs.CL]Fine-grained Opinion Mining in Financial Data: A Survey and Research Agenda
    Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
    http://arxiv.org/abs/2005.01897v1

    • [cs.CL]Generating SOAP Notes from Doctor-Patient Conversations
    Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton
    http://arxiv.org/abs/2005.01795v1

    • [cs.CL]Minimally Supervised Categorization of Text with Metadata
    Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
    http://arxiv.org/abs/2005.00624v1

    • [cs.CL]Neural CRF Model for Sentence Alignment in Text Simplification
    Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong, Wei Xu
    http://arxiv.org/abs/2005.02324v1

    • [cs.CL]Neural Syntactic Preordering for Controlled Paraphrase Generation
    Tanya Goyal, Greg Durrett
    http://arxiv.org/abs/2005.02013v1

    • [cs.CL]OpinionDigest: A Simple Framework for Opinion Summarization
    Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis, Wang-Chiew Tan
    http://arxiv.org/abs/2005.01901v1

    • [cs.CL]Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
    Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
    http://arxiv.org/abs/2005.01898v1

    • [cs.CL]Query Reformulation using Query History for Passage Retrieval in Conversational Search
    Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin
    http://arxiv.org/abs/2005.02230v1

    • [cs.CL]Self-organizing Pattern in Multilayer Network for Words and Syllables
    Li-Min Wang, Sun-Ting Tsai, Shan-Jyun Wu, Meng-Xue Tsai, Daw-Wei Wang, Yi-Ching Su, Tzay-Ming Hong
    http://arxiv.org/abs/2005.02087v1

    • [cs.CL]Soft Gazetteers for Low-Resource Named Entity Recognition
    Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime Carbonell
    http://arxiv.org/abs/2005.01866v1

    • [cs.CL]Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words
    Josef Klafka, Allyson Ettinger
    http://arxiv.org/abs/2005.01810v1

    • [cs.CL]Understanding Scanned Receipts
    Eric Melz
    http://arxiv.org/abs/2005.01828v1

    • [cs.CR]CPU and GPU Accelerated Fully Homomorphic Encryption
    Toufique Morshed, Md Momin Al Aziz, Noman Mohammed
    http://arxiv.org/abs/2005.01945v1

    • [cs.CR]Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security
    Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Ramyaa Ramyaa, Evelyn Domschot, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer
    http://arxiv.org/abs/2005.01800v1

    • [cs.CR]Stealing Links from Graph Neural Networks
    Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
    http://arxiv.org/abs/2005.02131v1

    • [cs.CR]Toward Equilibria and Solvability of Blockchain Pooling Strategies: A Topological Approach
    Dongfang Zhao
    http://arxiv.org/abs/2005.01916v1

    • [cs.CR]When Machine Unlearning Jeopardizes Privacy
    Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
    http://arxiv.org/abs/2005.02205v1

    • [cs.CV]AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
    Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, Jose Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Huaying Hao, Jiang Liu, Yan Kong, Yongyong Ren, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu
    http://arxiv.org/abs/2005.02258v1

    • [cs.CV]Adaptive Interaction Modeling via Graph Operations Search
    Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai
    http://arxiv.org/abs/2005.02113v1

    • [cs.CV]Adversarial Training against Location-Optimized Adversarial Patches
    Sukrut Rao, David Stutz, Bernt Schiele
    http://arxiv.org/abs/2005.02313v1

    • [cs.CV]AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
    Jiancheng Yang, Yi He, Xiaoyang Huang, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Bingbing Ni
    http://arxiv.org/abs/2005.01969v1

    • [cs.CV]Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
    Weihua He, YuJie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie
    http://arxiv.org/abs/2005.02183v1

    • [cs.CV]Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera
    Jun Hayakawa, Behzad Dariush
    http://arxiv.org/abs/2005.01632v2

    • [cs.CV]From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
    K L Navaneet, Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu
    http://arxiv.org/abs/2005.01939v1

    • [cs.CV]Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies
    Muhammad Ali Farooq, Peter Corcoran
    http://arxiv.org/abs/2005.01923v1

    • [cs.CV]HOG, LBP and SVM based Traffic Density Estimation at Intersection
    Devashish Prasad, Kshitij Kapadni, Ayan Gadpal, Manish Visave, Kavita Sultanpure
    http://arxiv.org/abs/2005.01770v1

    • [cs.CV]Illumination-Invariant Image from 4-Channel Images: The Effect of Near-Infrared Data in Shadow Removal
    Sorour Mohajerani, Mark S. Drew, Parvaneh Saeedi
    http://arxiv.org/abs/2005.01878v1

    • [cs.CV]LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands and Water from Aerial Imagery
    Adrian Boguszewski, Dominik Batorski, Natalia Ziemba-Jankowska, Anna Zambrzycka, Tomasz Dziedzic
    http://arxiv.org/abs/2005.02264v1

    • [cs.CV]Learning of Art Style Using AI and Its Evaluation Based on Psychological Experiments
    Mai Cong Hung, Ryohei Nakatsu, Naoko Tosa, Takashi Kusumi, Koji Koyamada
    http://arxiv.org/abs/2005.02220v1

    • [cs.CV]Learning-based Tracking of Fast Moving Objects
    Ales Zita, Filip Sroubek
    http://arxiv.org/abs/2005.01802v1

    • [cs.CV]Modal features for image texture classification
    Thomas Lacombe, Hugues Favreliere, Maurice Pillet
    http://arxiv.org/abs/2005.01928v1

    • [cs.CV]Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection
    Zhengzheng Tu, Zhun Li, Chenglong Li, Yang Lang, Jin Tang
    http://arxiv.org/abs/2005.02315v1

    • [cs.CV]Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video
    Antonino Furnari, Giovanni Maria Farinella
    http://arxiv.org/abs/2005.02190v1

    • [cs.CV]Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification
    Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap
    http://arxiv.org/abs/2005.02231v1

    • [cs.CV]Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data
    Smit Marvaniya, Umamaheswari Devi, Jagabondhu Hazra, Shashank Mujumdar, Nitin Gupta
    http://arxiv.org/abs/2005.01947v1

    • [cs.CV]StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching
    Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/2005.01927v1

    • [cs.CV]Streaming Object Detection for 3-D Point Clouds
    Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
    http://arxiv.org/abs/2005.01864v1

    • [cs.CV]Sub-Image Anomaly Detection with Deep Pyramid Correspondences
    Niv Cohen, Yedid Hoshen
    http://arxiv.org/abs/2005.02357v1

    • [cs.CV]Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
    Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O’Donnell, Heng Huang, Mei Chen, Weidong Cai
    http://arxiv.org/abs/2005.02066v1

    • [cs.CY]A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017
    Haewoon Kwak, Jisun An, Yong-Yeol Ahn
    http://arxiv.org/abs/2005.01803v1

    • [cs.CY]Data Science as a Route to AI for Middle- and High-School Students
    Shriram Krishnamurthi, Emmanuel Schanzer, Joe Gibbs Politz, Benjamin S. Lerner, Kathi Fisler, Sam Dooman
    http://arxiv.org/abs/2005.01794v1

    • [cs.CY]GDPR: When the Right to Access Personal Data Becomes a Threat
    Luca Bufalieri, Massimo La Morgia, Alessandro Mei, Julinda Stefa
    http://arxiv.org/abs/2005.01868v1

    • [cs.CY]Heuristic-Based Weak Learning for Moral Decision-Making
    Ryan Steed
    http://arxiv.org/abs/2005.02342v1

    • [cs.CY]Mechanisms of intermediary platforms
    Tobias Kölbel, Daniel Kunz
    http://arxiv.org/abs/2005.02111v1

    • [cs.CY]Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios
    Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze
    http://arxiv.org/abs/2005.02031v1

    • [cs.DB]Guided Link-Traversal-Based Query Processing
    Ruben Verborgh, Ruben Taelman
    http://arxiv.org/abs/2005.02239v1

    • [cs.DC]Industrial Control via Application Containers:Maintaining determinism in IAAS
    Florian Hofer, Martin Sehr, Alberto Sangiovanni-Vincentelli, Barbara Russo
    http://arxiv.org/abs/2005.01890v1

    • [cs.DC]JaxNet: Scalable Blockchain Network
    Iurii Shyshatsky, Vinod Manoharan, Taras Emelyanenko, Lucas Leger
    http://arxiv.org/abs/2005.01865v1

    • [cs.DC]Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters
    Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo
    http://arxiv.org/abs/2005.02088v1

    • [cs.HC]Chasing Lions: Co-Designing Human-Drone Interaction in Sub-Saharan Africa
    Anna Wojciechowska, Foad Hamidi, Andrés Lucero, Jessica R. Cauchard
    http://arxiv.org/abs/2005.02022v1

    • [cs.HC]Detection of Human Contact by Thermal Exchange Observer of Robot Skin
    Yukiko Osawa, Abderrahmane Kheddar
    http://arxiv.org/abs/2005.01986v1

    • [cs.HC]Don’t Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition
    Mahsan Nourani, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate
    http://arxiv.org/abs/2005.02335v1

    • [cs.IR]Hierarchical Knowledge Graphs: A Novel Information Representation for Exploratory Search Tasks
    Bahareh Sarrafzadeh, Adam Roegiest, Edward Lank
    http://arxiv.org/abs/2005.01716v1

    • [cs.IR]PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks
    Benyi Hu, Ren-Jie Song, Xiu-Shen Wei, Yazhou Yao, Xian-Sheng Hua, Yuehu Liu
    http://arxiv.org/abs/2005.02154v1

    • [cs.IR]SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search
    Sean MacAvaney, Arman Cohan, Nazli Goharian
    http://arxiv.org/abs/2005.02365v1

    • [cs.IR]Semi-supervised lung nodule retrieval
    Mark Loyman, Hayit Greenspan
    http://arxiv.org/abs/2005.01805v1

    • [cs.IT]Adaptive Coded Modulation for IM/DD Free-Space Optical Backhauling: A Probabilistic Shaping Approach
    Ahmed Elzanaty, Mohamed-Slim Alouini
    http://arxiv.org/abs/2005.02129v1

    • [cs.IT]Energy Efficiency Optimization for NOMA UAV Network with Imperfect CSI
    Haijun Zhang, Jianmin Zhang, Keping Long
    http://arxiv.org/abs/2005.02046v1

    • [cs.IT]Parametric Phase Tracking via Expectation Propagation
    Leszek Szczecinski, Hsan Bouazizi
    http://arxiv.org/abs/2005.01844v1

    • [cs.IT]Precoder Design and Statistical Power Allocation for MIMO-NOMA via User-Assisted Simultaneous Diagonalization
    Aravindh Krishnamoorthy, Zhiguo Ding, Robert Schober
    http://arxiv.org/abs/2005.02308v1

    • [cs.IT]mmWave Channel Estimation via Approximate Message Passing with Side Information
    Dror Baron, Cynthia Rush, Yavuz Yapici
    http://arxiv.org/abs/2005.02244v1

    • [cs.LG]A learning problem whose consistency is equivalent to the non-existence of real-valued measurable cardinals
    Vladimir G. Pestov
    http://arxiv.org/abs/2005.01886v1

    • [cs.LG]A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds
    Maxim S. Kovalev, Lev V. Utkin
    http://arxiv.org/abs/2005.02249v1

    • [cs.LG]Adaptive Low-Rank Factorization to regularize shallow and deep neural networks
    Mohammad Mahdi Bejani, Mehdi Ghatee
    http://arxiv.org/abs/2005.01995v1

    • [cs.LG]CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
    Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang
    http://arxiv.org/abs/2005.02177v1

    • [cs.LG]Classification-Based Anomaly Detection for General Data
    Liron Bergman, Yedid Hoshen
    http://arxiv.org/abs/2005.02359v1

    • [cs.LG]Clustering for Graph Datasets via Gumbel Softmax
    Deepak Bhaskar Acharya, Huaming Zhang
    http://arxiv.org/abs/2005.02372v1

    • [cs.LG]Demand-Side Scheduling Based on Deep Actor-Critic Learning for Smart Grids
    Joash Lee, Wenbo Wang, Dusit Niyato
    http://arxiv.org/abs/2005.01979v1

    • [cs.LG]Discrete-to-Deep Supervised Policy Learning
    Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale
    http://arxiv.org/abs/2005.02057v1

    • [cs.LG]Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
    Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
    http://arxiv.org/abs/2005.01807v1

    • [cs.LG]Global explanations for discovering bias in data
    Agnieszka Mikołajczyk, Michał Grochowski, Arkadiusz Kwasigroch
    http://arxiv.org/abs/2005.02269v1

    • [cs.LG]Hyper-parameter Tuning for the Contextual Bandit
    Djallel Bouneffouf, Emmanuelle Claeys
    http://arxiv.org/abs/2005.02209v1

    • [cs.LG]Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
    Seonho Park, George Adosoglou, Panos M. Pardalos
    http://arxiv.org/abs/2005.01889v1

    • [cs.LG]Learning selection strategies in Buchberger’s algorithm
    Dylan Peifer, Michael Stillman, Daniel Halpern-Leistner
    http://arxiv.org/abs/2005.01917v1

    • [cs.LG]Localized active learning of Gaussian process state space models
    Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
    http://arxiv.org/abs/2005.02191v1

    • [cs.LG]Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
    Shujian Yu, Ammar Shaker, Francesco Alesiani, Jose C. Principe
    http://arxiv.org/abs/2005.02196v1

    • [cs.LG]On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
    Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed
    http://arxiv.org/abs/2005.02000v1

    • [cs.LG]One-step regression and classification with crosspoint resistive memory arrays
    Zhong Sun, Giacomo Pedretti, Alessandro Bricalli, Daniele Ielmini
    http://arxiv.org/abs/2005.01988v1

    • [cs.LG]Regret Bounds for Safe Gaussian Process Bandit Optimization
    Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
    http://arxiv.org/abs/2005.01936v1

    • [cs.LG]Sample Complexity of Uniform Convergence for Multicalibration
    Eliran Shabat, Lee Cohen, Yishay Mansour
    http://arxiv.org/abs/2005.01757v1

    • [cs.LG]Time Dependence in Non-Autonomous Neural ODEs
    Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani
    http://arxiv.org/abs/2005.01906v1

    • [cs.LO]Encoding Linear Constraints into SAT
    Ignasi Abío, Valentin Mayer-Eichberger, Peter Stuckey
    http://arxiv.org/abs/2005.02073v1

    • [cs.LO]Superposition for Lambda-Free Higher-Order Logic
    Alexander Bentkamp, Jasmin Blanchette, Simon Cruanes, Uwe Waldmann
    http://arxiv.org/abs/2005.02094v1

    • [cs.MA]Using Machine Learning to Emulate Agent-Based Simulations
    Claudio Angione, Eric Silverman, Elisabeth Yaneske
    http://arxiv.org/abs/2005.02077v1

    • [cs.MM]II-20: Intelligent and pragmatic analytic categorization of image collections
    Jan Zahálka, Marcel Worring, Jarke J. van Wijk
    http://arxiv.org/abs/2005.02149v1

    • [cs.NE]Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection
    Filip Marcinek
    http://arxiv.org/abs/2005.02184v1

    • [cs.RO]A Versatile Data-Driven Framework for Model-Independent Control of Continuum Manipulators Interacting With Obstructed Environments With Unknown Geometry and Stiffness
    Farshid Alambeigi, Zerui Wang, Yun-Hui Liu, Russell H. Taylor, Mehran Armand
    http://arxiv.org/abs/2005.01951v1

    • [cs.RO]Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
    Peide Cai, Sukai Wang, Yuxiang Sun, Ming Liu
    http://arxiv.org/abs/2005.01935v1

    • [cs.RO]RadarSLAM: Radar based Large-Scale SLAM in All Weathers
    Ziyang Hong, Yvan Petillot, Sen Wang
    http://arxiv.org/abs/2005.02198v1

    • [cs.RO]SROM: Simple Real-time Odometry and Mapping using LiDAR data for Autonomous Vehicles
    Nivedita Rufus, Unni Krishnan R. Nair, A. V. S. Sai Bhargav Kumar, Vashist Madiraju, K. Madhava Krishna
    http://arxiv.org/abs/2005.02042v1

    • [cs.SI]Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit
    Joan Massachs, Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi
    http://arxiv.org/abs/2005.01790v1

    • [cs.SI]Weak ties strengthen anger contagion in social media
    Rui Fan, Ke Xu, Jichang Zhao
    http://arxiv.org/abs/2005.01924v1

    • [eess.IV]3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19
    Siqi Liu, Bogdan Georgescu, Zhoubing Xu, Youngjin Yoo, Guillaume Chabin, Shikha Chaganti, Sasa Grbic, Sebastian Piat, Brian Teixeira, Abishek Balachandran, Vishwanath RS, Thomas Re, Dorin Comaniciu
    http://arxiv.org/abs/2005.01903v1

    • [eess.IV]Comparison of Image Quality Models for Optimization of Image Processing Systems
    Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
    http://arxiv.org/abs/2005.01338v2

    • [eess.IV]NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
    Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, SeYoung Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yong Hyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou
    http://arxiv.org/abs/2005.01996v1

    • [eess.IV]NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
    Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen
    http://arxiv.org/abs/2005.02291v1

    • [eess.SP]3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors
    David Lonsdale, Li Zhang, Richard Jiang
    http://arxiv.org/abs/2005.01797v1

    • [eess.SP]Effect of the sEMG electrode (re)placement and feature set size on the hand movement recognition
    Nadica Miljković, Milica S. Isaković
    http://arxiv.org/abs/2005.02105v1

    • [eess.SY]A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications
    Ali Hassan, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
    http://arxiv.org/abs/2005.02339v1

    • [eess.SY]AoI-based Finite Horizon Scheduling for Heterogeneous Networked Control Systems
    Onur Ayan, H. Murat Gürsu, Sandra Hirche, Wolfgang Kellerer
    http://arxiv.org/abs/2005.02037v1

    • [math.OC]Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
    Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
    http://arxiv.org/abs/2005.02356v1

    • [math.OC]Online Convex Optimization with Binary Constraints
    Antoine Lesage-Landry, Joshua A. Taylor, Duncan S. Callaway
    http://arxiv.org/abs/2005.02274v1

    • [physics.ao-ph]Predicting atmospheric optical properties for radiative transfer computations using neural networks
    Menno A. Veerman, Robert Pincus, Robin Stoffer, Caspar van Leeuwen, Damian Podareanu, Chiel C. van Heerwaarden
    http://arxiv.org/abs/2005.02265v1

    • [physics.comp-ph]Ensemble Learning of Coarse-Grained Molecular Dynamics Force Fields with a Kernel Approach
    Jiang Wang, Stefan Chmiela, Klaus-Robert Müller, Frank Noè, Cecilia Clementi
    http://arxiv.org/abs/2005.01851v1

    • [physics.comp-ph]Off-the-shelf deep learning is not enough: parsimony, Bayes and causality
    Rama K. Vasudevan, Maxim Ziatdinov, Lukas Vlcek, Sergei V. Kalinin
    http://arxiv.org/abs/2005.01557v1

    • [physics.soc-ph]Can gender inequality be created without inter-group discrimination?
    Sylvie Huet1, Floriana Gargiulo, Felicia Pratto
    http://arxiv.org/abs/2005.01980v1

    • [physics.soc-ph]Community detection based on first passage probabilities
    Zhaole Wu, Xin Wang, Wenyi Fang, Longzhao Liu, Shaoting Tang, Hongwei Zheng, Zhiming Zheng
    http://arxiv.org/abs/2005.01938v1

    • [physics.soc-ph]The effect of social balance on social fragmentation
    Tuan Minh Pham, Imre Kondor, Rudolf Hanel, Stefan Thurner
    http://arxiv.org/abs/2005.01815v1

    • [q-bio.NC]Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data
    Alessandro Salatiello, Martin A. Giese
    http://arxiv.org/abs/2005.02211v1

    • [q-bio.QM]Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning
    Christoph Leitner, Robert Jarolim, Andreas Konrad, Annika Kruse, Markus Tilp, Jörg Schröttner, Christian Baumgartner
    http://arxiv.org/abs/2005.02071v1

    • [q-fin.CP]Differential Machine Learning
    Antoine Savine, Brian Huge
    http://arxiv.org/abs/2005.02347v1

    • [q-fin.CP]Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box
    Manuel Nunes, Enrico Gerding, Frank McGroarty, Mahesan Niranjan
    http://arxiv.org/abs/2005.02217v1

    • [stat.AP]A simple test for causality in complex systems
    Kristian Agasøster Haaga, David Diego, Jo Brendryen, Bjarte Hannisdal
    http://arxiv.org/abs/2005.01860v1

    • [stat.AP]Bayesian longitudinal models for exploring European sardine fishing in the Mediterranean Sea
    Gabriel Calvo, Carmen Armero, Maria Grazia Pennino, Luigi Spezia
    http://arxiv.org/abs/2005.02282v1

    • [stat.AP]Coronavirus and sports leagues: how to obtaina fair ranking if the season cannot resume?
    László Csató
    http://arxiv.org/abs/2005.02280v1

    • [stat.AP]Data-Driven Modeling Reveals the Impact of Stay-at-Home Orders on Human Mobility during the COVID-19 Pandemic in the U.S
    Chenfeng Xiong, Songhua Hu, Mofeng Yang, Hannah N Younes, Weiyu Luo, Sepehr Ghader, Lei Zhang
    http://arxiv.org/abs/2005.00667v2

    • [stat.AP]Fish should not be in isolation: Calculating maximum sustainable yield using an ensemble model
    Michael A. Spence, Khatija Alliji, Hayley J. Bannister, Nicola D. Walker, Angela Muench
    http://arxiv.org/abs/2005.02001v1

    • [stat.AP]Is Time to Intervention in the COVID-19 Outbreak Really Important? A Global Sensitivity Analysis Approach
    Emanuele Borgonovo, Xuefei Lu
    http://arxiv.org/abs/2005.01833v1

    • [stat.AP]Protocol for a Study of the Effect of Surface Mining in Central Appalachia on Adverse Birth Outcomes
    Dylan S. Small, Dan Firth, Luke Keele, Matthew Huber, Molly Passarella, Scott Lorch, Heather Burris
    http://arxiv.org/abs/2005.01873v1

    • [stat.AP]Simple models for COVID-19 death and fatal infection profiles
    Simon N. Wood
    http://arxiv.org/abs/2005.02090v1

    • [stat.AP]portes: An R Package for Portmanteau Tests in Time Series Models
    Esam Mahdi
    http://arxiv.org/abs/2005.00931v1

    • [stat.ME]Cluster-based dual evolution for multivariate systems
    Nick James, Max Menzies
    http://arxiv.org/abs/2005.02125v1

    • [stat.ME]Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods
    Hisashi Noma, Tomohiro Shinozaki, Katsuhiro Iba, Satoshi Teramukai, Toshi A. Furukawa
    http://arxiv.org/abs/2005.01457v2

    • [stat.ME]Finite Sample Smeariness of Fréchet Means and Application to Climate
    Shayan Hundrieser, Benjamin Eltzner, Stephan F. Huckemann
    http://arxiv.org/abs/2005.02321v1

    • [stat.ME]Frequency Detection and Change Point Estimation for Time Series of Complex Oscillation
    Zhou Zhou, Yang-Guan-Jian Guo, Hau-Tieng Wu
    http://arxiv.org/abs/2005.01899v1

    • [stat.ME]Hierarchical spatial log Gaussian Cox process model for replicated point patterns
    Mikko Kuronen, Aila Särkkä, Matti Vihola, Mari Myllymäki
    http://arxiv.org/abs/2005.01962v1

    • [stat.ME]Homogeneity Tests of Covariance and Change-Points Identification for High-Dimensional Functional Data
    Shawn Santo, Ping-Shou Zhong
    http://arxiv.org/abs/2005.01895v1

    • [stat.ME]Inference with many correlated weak instruments and summary statistics
    Ashish Patel, Stephen Burgess, Dipender Gill, Paul J. Newcombe
    http://arxiv.org/abs/2005.01765v1

    • [stat.ME]Overcoming the inconsistences of the variance inflation factor: a redefined VIF and a test to detect statistical troubling multicollinearity
    Román Salmerón, Catalina García, José García
    http://arxiv.org/abs/2005.02245v1

    • [stat.ME]The Murphy Decomposition and the Calibration-Resolution Principle: A New Perspective on Forecast Evaluation
    Marc-Oliver Pohle
    http://arxiv.org/abs/2005.01835v1

    • [stat.ML]Complex Amplitude-Phase Boltzmann Machines
    Zengyi Li, Friedrich T. Sommer
    http://arxiv.org/abs/2005.01862v1

    • [stat.ML]Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models
    Jayaraman J. Thiagarajan, Bindya Venkatesh, Rushil Anirudh, Peer-Timo Bremer, Jim Gaffney, Gemma Anderson, Brian Spears
    http://arxiv.org/abs/2005.02328v1

    • [stat.ML]Designing Data Augmentation for Simulating Interventions
    Maximilian Ilse, Jakub M. Tomczak, Patrick Forré
    http://arxiv.org/abs/2005.01856v1

    • [stat.ML]Fitting Laplacian Regularized Stratified Gaussian Models
    Jonathan Tuck, Stephen Boyd
    http://arxiv.org/abs/2005.01752v1