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