今日学术视野(2020.5.28)

cond-mat.stat-mech - 统计数学

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.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.OS - 操作系统 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-ex - 高能物理实验 math.CO - 组合数学 math.FA - 泛函演算 math.OC - 优化与控制 math.ST - 统计理论 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.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [cond-mat.stat-mech]A reinforcement learning approach to rare trajectory sampling • [cs.AI]Active Measure Reinforcement Learning for Observation Cost Minimization • [cs.AI]Bayesian Stress Testing of Models in a Classification Hierarchy • [cs.AI]Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning • [cs.AI]DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models • [cs.AI]Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games • [cs.AI]Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences • [cs.AI]History-Aware Question Answering in a Blocks World Dialogue System • [cs.AI]Non-cooperative Multi-agent Systems with Exploring Agents • [cs.AI]Nonmonotonic Inferences with Qualitative Conditionals based on Preferred Structures on Worlds • [cs.AI]Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems • [cs.AI]Towards United Reasoning for Automatic Induction in Isabelle/HOL • [cs.CL]A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction • [cs.CL]Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean • [cs.CL]BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection • [cs.CL]EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading • [cs.CL]Exploring aspects of similarity between spoken personal narratives by disentangling them into narrative clause types • [cs.CL]FT Speech: Danish Parliament Speech Corpus • [cs.CL]GECToR — Grammatical Error Correction: Tag, Not Rewrite • [cs.CL]Generating Semantically Valid Adversarial Questions for TableQA • [cs.CL]GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning • [cs.CL]Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities • [cs.CL]MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources • [cs.CL]ParsBERT: Transformer-based Model for Persian Language Understanding • [cs.CL]Refining Implicit Argument Annotation For UCCA • [cs.CL]The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion • [cs.CL]The Unreasonable Volatility of Neural Machine Translation Models • [cs.CL]Verification and Validation of Convex Optimization Algorithms for Model Predictive Control • [cs.CL]What Are People Asking About COVID-19? A Question Classification Dataset • [cs.CR]Cross Hashing: Anonymizing encounters in Decentralised Contact Tracing Protocols • [cs.CR]Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review • [cs.CR]Decentralized Privacy-Preserving Proximity Tracing • [cs.CR]Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities • [cs.CR]Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges and Tabular Q-Learning • [cs.CR]SNARKs to the rescue: proof-of-contact in zero knowledge • [cs.CR]SoK: Blockchain Solutions for Forensics • [cs.CV]A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video • [cs.CV]An Effective Pipeline for a Real-world Clothes Retrieval System • [cs.CV]CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction • [cs.CV]CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator • [cs.CV]DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting • [cs.CV]Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization • [cs.CV]End-to-End Object Detection with Transformers • [cs.CV]Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions • [cs.CV]Identity-Preserving Realistic Talking Face Generation • [cs.CV]Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels • [cs.CV]Keep it Simple: Image Statistics Matching for Domain Adaptation • [cs.CV]Learning Local Features with Context Aggregation for Visual Localization • [cs.CV]Learning Robust Feature Representations for Scene Text Detection • [cs.CV]Learning To Classify Images Without Labels • [cs.CV]Learning a Reinforced Agent for Flexible Exposure Bracketing Selection • [cs.CV]Learning to map between ferns with differentiable binary embedding networks • [cs.CV]Long-Term Cloth-Changing Person Re-identification • [cs.CV]Minimizing Supervision in Multi-label Categorization • [cs.CV]Network Bending: Manipulating The Inner Representations of Deep Generative Models • [cs.CV]Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach • [cs.CV]Region-adaptive Texture Enhancement for Detailed Person Image Synthesis • [cs.CV]Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method • [cs.CV]SegAttnGAN: Text to Image Generation with Segmentation Attention • [cs.CV]SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis • [cs.CV]Towards Fine-grained Human Pose Transfer with Detail Replenishing Network • [cs.CV]Unsupervised Domain Expansion from Multiple Sources • [cs.CV]Visual Interest Prediction with Attentive Multi-Task Transfer Learning • [cs.CV]What am I Searching for: Zero-shot Target Identity Inference in Visual Search • [cs.CY]A Computational Approach to Measuring Vote Elasticity and Competitiveness • [cs.CY]A traceability and auditing framework for electronic equipment reverse logistics based on blockchain: the case of mobile phones • [cs.CY]Analyzing the Impact of Covid-19 Control Policies on Campus Occupancy and Mobility via Passive WiFi Sensing • [cs.CY]Digitalization of COVID-19 pandemic management and cyber risk from connected systems • [cs.CY]Evolution of Cooperative Hunting in Artificial Multi-layered Societies • [cs.CY]Illuminating a Blind Spot in Digitalization — Software Development in Sweden’s Private and Public Sector • [cs.CY]Is your chatbot GDPR compliant? Open issues in agent design • [cs.CY]Unleashing the power of disruptive and emerging technologies amid COVID 2019: A detailed review • [cs.DB]A Big Data Based Framework for Executing Complex Query Over COVID-19 Datasets (COVID-QF) • [cs.DC]Asynchronous Byzantine Agreement in Incomplete Networks [Technical Report] • [cs.DC]Benchmarking Graph Data Management and Processing Systems: A Survey • [cs.DC]CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics • [cs.DC]On the improvement of the in-place merge algorithm parallelization • [cs.DC]Tight Bounds for Deterministic High-Dimensional Grid Exploration • [cs.GR]A Deep Learning based Fast Signed Distance Map Generation • [cs.GR]Survey: Machine Learning in Production Rendering • [cs.GT]Markets for Efficient Public Good Allocation • [cs.IR]ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation • [cs.IR]An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues • [cs.IR]Concept Annotation for Intelligent Textbooks • [cs.IR]Hierarchical Fashion Graph Network for Personalized Outfit Recommendation • [cs.IR]MVIN: Learning Multiview Items for Recommendation • [cs.IR]Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants • [cs.IR]Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities • [cs.IT]Communicating over the Torn-Paper Channel • [cs.IT]Dimension Reduction-based Signal Compression for Uplink Distributed MIMO C-RAN with Limited Fronthaul Capacity • [cs.IT]Noncoherent Joint Transmission Beamforming for Dense Small Cell Networks: Global Optimality, Efficient Solution and Distributed Implementation • [cs.IT]Probabilistically Shaped 4-PAM for Short-Reach IM/DD Links with a Peak Power Constraint • [cs.LG]A Protection against the Extraction of Neural Network Models • [cs.LG]Active Imitation Learning with Noisy Guidance • [cs.LG]Approximation Schemes for ReLU Regression • [cs.LG]Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model • [cs.LG]Continual Local Training for Better Initialization of Federated Models • [cs.LG]Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences • [cs.LG]Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application • [cs.LG]How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead • [cs.LG]Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO • [cs.LG]Improving Regression Uncertainty Estimates with an Empirical Prior • [cs.LG]Incidental Supervision: Moving beyond Supervised Learning • [cs.LG]Inherent Noise in Gradient Based Methods • [cs.LG]Interpretable Contrastive Learning for Networks • [cs.LG]Is deeper better? It depends on locality of relevant features • [cs.LG]Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy • [cs.LG]Memory-Efficient Sampling for Minimax Distance Measures • [cs.LG]Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks • [cs.LG]Path Imputation Strategies for Signature Models • [cs.LG]Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful • [cs.LG]TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations • [cs.LG]The best way to select features? • [cs.LG]The price for fairness in a regression framework • [cs.LG]Time-Variant Variational Transfer for Value Functions • [cs.LG]Towards Analogy-Based Explanations in Machine Learning • [cs.LG]Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity • [cs.LG]qDKT: Question-centric Deep Knowledge Tracing • [cs.MA]Agent-Based Simulation of Collective Cooperation: From Experiment to Model • [cs.NE]Applying Evolutionary Metaheuristics for Parameter Estimation of Individual-Based Models • [cs.NE]BHN: A Brain-like Heterogeneous Network • [cs.NE]Spoken digit classification using a spin-wave delay-line active-ring reservoir computing • [cs.NI]Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks • [cs.NI]WiFiTrace: Network-based Contact Tracing for Infectious Diseases Using Passive WiFi Sensing • [cs.OS]Study of Firecracker MicroVM • [cs.RO]Adaptive Robot Navigation with Collision Avoidance subject to 2nd-order Uncertain Dynamics • [cs.RO]AlphaPilot: Autonomous Drone Racing • [cs.RO]Batch and Incremental Kinodynamic Motion Planning using Dynamic Factor Graphs • [cs.RO]Design of a Low-cost Miniature Robot to Assist the COVID-19 Nasopharyngeal Swab Sampling • [cs.RO]Learning Whole-Body Human-Robot Haptic Interaction in Social Contexts • [cs.RO]VDO-SLAM: A Visual Dynamic Object-aware SLAM System • [cs.RO]Vision-based control of a knuckle boom crane with online cable length estimation • [cs.RO]What the HoloLens Maps Is Your Workspace: Fast Mapping and Set-up of Robot Cells via Head Mounted Displays and Augmented Reality • [cs.SI]Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks • [cs.SI]International students’ loneliness, depression and stress levels in COVID-19 crisis. The role of social media and the host university • [cs.SI]Mathematics of Nested Districts: The Case of Alaska • [cs.SI]Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis • [cs.SI]Social Distancing as a Network Population Game in a Socially Connected World • [cs.SI]Twitter discussions and concerns about COVID-19 pandemic: Twitter data analysis using a machine learning approach • [econ.EM]Fair Policy Targeting • [econ.GN]On the Causes and Consequences of Deviations from Rational Behavior • [eess.AS]Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement • [eess.IV]Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems • [eess.IV]Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging • [eess.IV]Perceptual Extreme Super Resolution Network with Receptive Field Block • [eess.IV]Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity • [eess.IV]Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks • [eess.SP]Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data • [eess.SP]Physical Layer Authentication for Non-Coherent Massive SIMO-Enabled Industrial IoT Communications • [hep-ex]Exhaustive Neural Importance Sampling applied to Monte Carlo event generation • [math.CO]Partial direct product difference sets and sequences with ideal autocorrelation • [math.FA]Multivariate Quasi-tight Framelets with High Balancing Orders Derived from Any Refinable Vector Functions • [math.OC]On the Impossibility of Global Convergence in Multi-Loss Optimization • [math.ST]Likelihood theory for the Graph Ornstein-Uhlenbeck process • [math.ST]Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms • [math.ST]Matrix superharmonic priors for Bayes estimation under matrix quadratic loss • [physics.comp-ph]Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning • [physics.soc-ph]Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models • [physics.soc-ph]Multiple abrupt phase transitions in urban transport congestion • [physics.soc-ph]Sustainable and resilient strategies for touristic cities against COVID-19: an agent-based approach • [q-bio.NC]Construction of embedded fMRI resting state functional connectivity networks using manifold learning • [q-bio.NC]DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning • [q-bio.NC]Optimal Learning with Excitatory and Inhibitory synapses • [q-bio.PE]Statistically-based methodology for correcting delay-induced errors on the evaluation of COVID-19 pandemic • [q-bio.QM]Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model • [quant-ph]Experimental evaluation of quantum Bayesian networks on IBM QX hardware • [quant-ph]The prospects of quantum computing in computational molecular biology • [quant-ph]Trainability of Dissipative Perceptron-Based Quantum Neural Networks • [stat.AP]A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants • [stat.AP]Causal inference with multiple versions of treatment and application to personalized medicine • [stat.AP]Evaluating epidemic forecasts in an interval format • [stat.AP]GP-ETAS: Semiparametric Bayesian inference for the spatio-temporal Epidemic Type Aftershock Sequence model • [stat.AP]Modeling the Dynamics of the COVID-19 Population in Australia: A Probabilistic Analysis • [stat.AP]SEIRD Model for Qatar Covid-19 Outbreak: A Case Study • [stat.AP]Space-Time VON CRAMM: Evaluating Decision-Making in Tennis with Variational generatiON of Complete Resolution Arcs via Mixture Modeling • [stat.ME]Bayesian Multiresolution Modeling Of Georeferenced Data • [stat.ME]Bayesian joint models for longitudinal and survival data • [stat.ME]Note on Local Projections as a System of Equations • [stat.ME]The probability of a robust inference for internal validity and its applications in regression models • [stat.ME]Truncating the Exponential with a Uniform Distribution • [stat.ME]Varying-coefficient functional additive models • [stat.ML]Causal Bayesian Optimization • [stat.ML]Hard Shape-Constrained Kernel Machines • [stat.ML]Robust Matrix Completion with Mixed Data Types ····································· • [cond-mat.stat-mech]A reinforcement learning approach to rare trajectory sampling Dominic C. Rose, Jamie F. Mair, Juan P. Garrahan http://arxiv.org/abs/2005.12890v1 • [cs.AI]Active Measure Reinforcement Learning for Observation Cost Minimization Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn http://arxiv.org/abs/2005.12697v1 • [cs.AI]Bayesian Stress Testing of Models in a Classification Hierarchy Bashar Awwad Shiekh Hasan, Kate Kelly http://arxiv.org/abs/2005.12327v1 • [cs.AI]Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi, Sami Purmonen, Christoffer Holmgård, Julian Togelius, Sebastian Risi http://arxiv.org/abs/2005.12579v1 • [cs.AI]DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models Yania Molina Souto, Rafael Pereira, Rocío Zorrilla, Anderson Chaves, Brian Tsan, Florin Rusu, Eduardo Ogasawara, Artur Ziviani, Fabio Porto http://arxiv.org/abs/2005.11093v2 • [cs.AI]Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games Hao Chen, Chang Wang, Jian Huang, Jianxing Gong http://arxiv.org/abs/2005.12553v1 • [cs.AI]Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences Ben Goertzel, Mike Duncan, Debbie Duong, Nil Geisweiller, Hedra Seid, Abdulrahman Semrie, Man Hin Leung, Matthew Ikle’ http://arxiv.org/abs/2005.12535v1 • [cs.AI]History-Aware Question Answering in a Blocks World Dialogue System Benjamin Kane, Georgiy Platonov, Lenhart K. Schubert http://arxiv.org/abs/2005.12501v1 • [cs.AI]Non-cooperative Multi-agent Systems with Exploring Agents Jalal Etesami, Christoph-Nikolas Straehle http://arxiv.org/abs/2005.12360v1 • [cs.AI]Nonmonotonic Inferences with Qualitative Conditionals based on Preferred Structures on Worlds Christian Komo, Christoph Beierle http://arxiv.org/abs/2005.12713v1 • [cs.AI]Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems Behnam Hedayatnia, Seokhwan Kim, Yang Liu, Karthik Gopalakrishnan, Mihail Eric, Dilek Hakkani-Tur http://arxiv.org/abs/2005.12529v1 • [cs.AI]Towards United Reasoning for Automatic Induction in Isabelle/HOL Yutaka Nagashima http://arxiv.org/abs/2005.12737v1 • [cs.CL]A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction Saadullah Amin, Katherine Ann Dunfield, Anna Vechkaeva, Günter Neumann http://arxiv.org/abs/2005.12565v1 • [cs.CL]Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean Tae Hwan Oh, Ji Yoon Han, Hyonsu Choe, Seokwon Park, Han He, Jinho D. Choi, Na-Rae Han, Jena D. Hwang, Hansaem Kim http://arxiv.org/abs/2005.12898v1 • [cs.CL]BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection Jihyung Moon, Won Ik Cho, Junbum Lee http://arxiv.org/abs/2005.12503v1 • [cs.CL]EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading Yifan Gao, Chien-Sheng Wu, Shafiq Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi http://arxiv.org/abs/2005.12484v1 • [cs.CL]Exploring aspects of similarity between spoken personal narratives by disentangling them into narrative clause types Belen Saldias, Deb Roy http://arxiv.org/abs/2005.12762v1 • [cs.CL]FT Speech: Danish Parliament Speech Corpus Andreas Kirkedal, Marija Stepanović, Barbara Plank http://arxiv.org/abs/2005.12368v1 • [cs.CL]GECToR — Grammatical Error Correction: Tag, Not Rewrite Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem Chernodub, Oleksandr Skurzhanskyi http://arxiv.org/abs/2005.12592v1 • [cs.CL]Generating Semantically Valid Adversarial Questions for TableQA Yi Zhu, Menglin Xia, Yiwei Zhou http://arxiv.org/abs/2005.12696v1 • [cs.CL]GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning Jianfeng Liu, Feiyang Pan, Ling Luo http://arxiv.org/abs/2005.11729v2 • [cs.CL]Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities Ben Goertzel, Andres Suarez Madrigal, Gino Yu http://arxiv.org/abs/2005.12533v1 • [cs.CL]MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources Farhad Akhbardeh, Travis Desell, Marcos Zampieri http://arxiv.org/abs/2005.12443v1 • [cs.CL]ParsBERT: Transformer-based Model for Persian Language Understanding Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri http://arxiv.org/abs/2005.12515v1 • [cs.CL]Refining Implicit Argument Annotation For UCCA Ruixiang Cui, Daniel Hershcovich http://arxiv.org/abs/2005.12889v1 • [cs.CL]The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion Manuel Mager, Katharina Kann http://arxiv.org/abs/2005.12411v1 • [cs.CL]The Unreasonable Volatility of Neural Machine Translation Models Marzieh Fadaee, Christof Monz http://arxiv.org/abs/2005.12398v1 • [cs.CL]Verification and Validation of Convex Optimization Algorithms for Model Predictive Control Raphaël Cohen, Eric Féron, Pierre-Loïc Garoche http://arxiv.org/abs/2005.12588v1 • [cs.CL]What Are People Asking About COVID-19? A Question Classification Dataset Jerry Wei, Chengyu Huang, Soroush Vosoughi, Jason Wei http://arxiv.org/abs/2005.12522v1 • [cs.CR]Cross Hashing: Anonymizing encounters in Decentralised Contact Tracing Protocols Junade Ali, Vladimir Dyo http://arxiv.org/abs/2005.12884v1 • [cs.CR]Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review Fadi Salo, MohammadNoor Injadat, Ali Bou Nassif, Aleksander Essex http://arxiv.org/abs/2005.12267v1 • [cs.CR]Decentralized Privacy-Preserving Proximity Tracing Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathé, James Larus, Edouard Bugnion, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth Paterson, Srdjan Čapkun, David Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel Smart, Aysajan Abidin, Seda Gürses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira http://arxiv.org/abs/2005.12273v1 • [cs.CR]Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan, Xintao Wu http://arxiv.org/abs/2005.12433v1 • [cs.CR]Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges and Tabular Q-Learning Fabio Massimo Zennaro, Laszlo Erdodi http://arxiv.org/abs/2005.12632v1 • [cs.CR]SNARKs to the rescue: proof-of-contact in zero knowledge Zachary Ratliff, Joud Khoury http://arxiv.org/abs/2005.12676v1 • [cs.CR]SoK: Blockchain Solutions for Forensics Thomas K. Dasaklis, Fran Casino, Constantinos Patsakis http://arxiv.org/abs/2005.12640v1 • [cs.CV]A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video Sauradip Nag, Palaiahnakote Shivakumara, Umapada Pal, Tong Lu, Michael Blumenstein http://arxiv.org/abs/2005.12524v1 • [cs.CV]An Effective Pipeline for a Real-world Clothes Retrieval System Yang-Ho Ji, HeeJae Jun, Insik Kim, Jongtack Kim, Youngjoon Kim, Byungsoo Ko, Hyong-Keun Kook, Jingeun Lee, Sangwon Lee, Sanghyuk Park http://arxiv.org/abs/2005.12739v1 • [cs.CV]CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction Matías Mendieta, Hamed Tabkhi http://arxiv.org/abs/2005.12469v1 • [cs.CV]CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator Shan-Jean Wu, Chih-Yuan Yang, Jane Yung-jen Hsu http://arxiv.org/abs/2005.12500v1 • [cs.CV]DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting Alessio Monti, Alessia Bertugli, Simone Calderara, Rita Cucchiara http://arxiv.org/abs/2005.12661v1 • [cs.CV]Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization Marie-Morgane Paumard, David Picard, Hedi Tabia http://arxiv.org/abs/2005.12548v1 • [cs.CV]End-to-End Object Detection with Transformers Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko http://arxiv.org/abs/2005.12872v1 • [cs.CV]Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker http://arxiv.org/abs/2005.12541v1 • [cs.CV]Identity-Preserving Realistic Talking Face Generation Sanjana Sinha, Sandika Biswas, Brojeshwar Bhowmick http://arxiv.org/abs/2005.12318v1 • [cs.CV]Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham, Tung T. Le, Dat T. Ngo, Dat Q. Tran, Ha Q. Nguyen http://arxiv.org/abs/2005.12734v1 • [cs.CV]Keep it Simple: Image Statistics Matching for Domain Adaptation Alexey Abramov, Christopher Bayer, Claudio Heller http://arxiv.org/abs/2005.12551v1 • [cs.CV]Learning Local Features with Context Aggregation for Visual Localization Siyu Hong, Kunhong Li, Yongcong Zhang, Zhiheng Fu, Mengyi Liu, Yulan Guo http://arxiv.org/abs/2005.12880v1 • [cs.CV]Learning Robust Feature Representations for Scene Text Detection Sihwan Kim, Taejang Park http://arxiv.org/abs/2005.12466v1 • [cs.CV]Learning To Classify Images Without Labels Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool http://arxiv.org/abs/2005.12320v1 • [cs.CV]Learning a Reinforced Agent for Flexible Exposure Bracketing Selection Zhouxia Wang, Jiawei Zhang, Mude Lin, Jiong Wang, Ping Luo, Jimmy Ren http://arxiv.org/abs/2005.12536v1 • [cs.CV]Learning to map between ferns with differentiable binary embedding networks Max Blendowski, Mattias P. Heinrich http://arxiv.org/abs/2005.12563v1 • [cs.CV]Long-Term Cloth-Changing Person Re-identification Xuelin Qian, Wenxuan Wang, Li Zhang, Fangrui Zhu, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue http://arxiv.org/abs/2005.12633v1 • [cs.CV]Minimizing Supervision in Multi-label Categorization Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodi http://arxiv.org/abs/2005.12892v1 • [cs.CV]Network Bending: Manipulating The Inner Representations of Deep Generative Models Terence Broad, Frederic Fol Leymarie, Mick Grierson http://arxiv.org/abs/2005.12420v1 • [cs.CV]Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo http://arxiv.org/abs/2005.12439v1 • [cs.CV]Region-adaptive Texture Enhancement for Detailed Person Image Synthesis Lingbo Yang, Pan Wang, Xinfeng Zhang, Shanshe Wang, Zhanning Gao, Peiran Ren, Xuansong Xie, Siwei Ma, Wen Gao http://arxiv.org/abs/2005.12486v1 • [cs.CV]Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method Jian Jia, Houjing Huang, Wenjie Yang, Xiaotang Chen, Kaiqi Huang http://arxiv.org/abs/2005.11909v2 • [cs.CV]SegAttnGAN: Text to Image Generation with Segmentation Attention Yuchuan Gou, Qiancheng Wu, Minghao Li, Bo Gong, Mei Han http://arxiv.org/abs/2005.12444v1 • [cs.CV]SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis Mengqi Ji, Jinzhi Zhang, Qionghai Dai, Lu Fang http://arxiv.org/abs/2005.12690v1 • [cs.CV]Towards Fine-grained Human Pose Transfer with Detail Replenishing Network Lingbo Yang, Pan Wang, Chang Liu, Zhanning Gao, Peiran Ren, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Xiansheng Hua, Wen Gao http://arxiv.org/abs/2005.12494v1 • [cs.CV]Unsupervised Domain Expansion from Multiple Sources Jing Zhang, Wanqing Li, Lu sheng, Chang Tang, Philip Ogunbona http://arxiv.org/abs/2005.12544v1 • [cs.CV]Visual Interest Prediction with Attentive Multi-Task Transfer Learning Deepanway Ghosal, Maheshkumar H. Koleka http://arxiv.org/abs/2005.12770v1 • [cs.CV]What am I Searching for: Zero-shot Target Identity Inference in Visual Search Mengmi Zhang, Gabriel Kreiman http://arxiv.org/abs/2005.12741v1 • [cs.CY]A Computational Approach to Measuring Vote Elasticity and Competitiveness Daryl DeFord, Moon Duchin, Justin Solomon http://arxiv.org/abs/2005.12731v1 • [cs.CY]A traceability and auditing framework for electronic equipment reverse logistics based on blockchain: the case of mobile phones Thomas K. Dasaklis, Fran Casino, Constantinos Patsakis http://arxiv.org/abs/2005.11556v2 • [cs.CY]Analyzing the Impact of Covid-19 Control Policies on Campus Occupancy and Mobility via Passive WiFi Sensing Camellia Zakaria, Amee Trivedi, Michael Chee, Prashant Shenoy, Rajesh Balan http://arxiv.org/abs/2005.12050v2 • [cs.CY]Digitalization of COVID-19 pandemic management and cyber risk from connected systems Petar Radanliev, David De Roure, Max Van Kleek http://arxiv.org/abs/2005.12409v1 • [cs.CY]Evolution of Cooperative Hunting in Artificial Multi-layered Societies Honglin Bao, Wolfgang Banzhaf http://arxiv.org/abs/2005.11580v2 • [cs.CY]Illuminating a Blind Spot in Digitalization — Software Development in Sweden’s Private and Public Sector Markus Borg, Joakim Wernberg, Thomas Olsson, Ulrik Franke, Martin Andersson http://arxiv.org/abs/2005.12607v1 • [cs.CY]Is your chatbot GDPR compliant? Open issues in agent design Rahime Belen Saglam, Jason R. C. Nurse http://arxiv.org/abs/2005.12644v1 • [cs.CY]Unleashing the power of disruptive and emerging technologies amid COVID 2019: A detailed review Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, P. Nagabhushan, K K Sound 232 ra Pandian, Praveer Saxena http://arxiv.org/abs/2005.11507v2 • [cs.DB]A Big Data Based Framework for Executing Complex Query Over COVID-19 Datasets (COVID-QF) Eman A. Khashan, Ali I. Eldesouky, M. Fadel, Sally M. Elghamrawy http://arxiv.org/abs/2005.12271v1 • [cs.DC]Asynchronous Byzantine Agreement in Incomplete Networks [Technical Report]** Ye Wang, Roger Wattenhofer http://arxiv.org/abs/2005.12725v1 • [cs.DC]Benchmarking Graph Data Management and Processing Systems: A Survey Miyuru Dayarathna, Toyotaro Suzumura http://arxiv.org/abs/2005.12873v1 • [cs.DC]CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics Oluwasegun Ojo, Augusto García-Agundez, Benjamin Girault, Harold Hernández, Elisa Cabana, Amanda García-García, Payman Arabshahi, Carlos Baquero, Paolo Casari, Ednaldo José Ferreira, Davide Frey, Chryssis Georgiou, Mathieu Goessens, Anna Ishchenko, Ernesto Jiménez, Oleksiy Kebkal, Rosa Lillo, Raquel Menezes, Nicolas Nicolaou, Antonio Ortega, Paul Patras, Julian C Roberts, Efstathios Stavrakis, Yuichi Tanaka, Antonio Fernández Anta http://arxiv.org/abs/2005.12783v1 • [cs.DC]On the improvement of the in-place merge algorithm parallelization Berenger Bramas, Quentin Bramas http://arxiv.org/abs/2005.12648v1 • [cs.DC]Tight Bounds for Deterministic High-Dimensional Grid Exploration Sebastian Brandt, Julian Portmann, Jara Uitto http://arxiv.org/abs/2005.12623v1 • [cs.GR]A Deep Learning based Fast Signed Distance Map Generation Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette http://arxiv.org/abs/2005.12662v1 • [cs.GR]Survey: Machine Learning in Production Rendering Shilin Zhu http://arxiv.org/abs/2005.12518v1 • [cs.GT]Markets for Efficient Public Good Allocation Devansh Jalota, Marco Pavone, Yinyu Ye http://arxiv.org/abs/2005.10765v2 • [cs.IR]ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou http://arxiv.org/abs/2005.12002v2 • [cs.IR]An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke http://arxiv.org/abs/2005.12340v1 • [cs.IR]Concept Annotation for Intelligent Textbooks Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He http://arxiv.org/abs/2005.11422v2 • [cs.IR]Hierarchical Fashion Graph Network for Personalized Outfit Recommendation Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua http://arxiv.org/abs/2005.12566v1 • [cs.IR]MVIN: Learning Multiview Items for Recommendation Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku http://arxiv.org/abs/2005.12516v1 • [cs.IR]Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants Christophe Van Gysel, Manos Tsagkias, Ernest Pusateri, Ilya Oparin http://arxiv.org/abs/2005.12816v1 • [cs.IR]Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities Guilherme Ramos, Ludovico Boratto http://arxiv.org/abs/2005.12371v1 • [cs.IT]Communicating over the Torn-Paper Channel Ilan Shomorony, Alireza Vahid http://arxiv.org/abs/2005.12895v1 • [cs.IT]Dimension Reduction-based Signal Compression for Uplink Distributed MIMO C-RAN with Limited Fronthaul Capacity Fred Wiffen, Mohammud Z. Bocus, Woon Hau Chin, Angela Doufexi, Mark Beach http://arxiv.org/abs/2005.12894v1 • [cs.IT]Noncoherent Joint Transmission Beamforming for Dense Small Cell Networks: Global Optimality, Efficient Solution and Distributed Implementation Quang-Doanh Vu, Le-Nam Tran, Markku Juntti http://arxiv.org/abs/2005.12331v1 • [cs.IT]Probabilistically Shaped 4-PAM for Short-Reach IM/DD Links with a Peak Power Constraint Thomas Wiegart, Francesco Da Ros, Metodi Plamenov Yankov, Fabian Steiner, Simone Gaiarin, Richard Wesel http://arxiv.org/abs/2005.12428v1 • [cs.LG]A Protection against the Extraction of Neural Network Models Hervé Chabanne, Linda Guiga http://arxiv.org/abs/2005.12782v1 • [cs.LG]Active Imitation Learning with Noisy Guidance Kianté Brantley, Amr Sharaf, Hal Daumé III http://arxiv.org/abs/2005.12801v1 • [cs.LG]Approximation Schemes for ReLU Regression Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi http://arxiv.org/abs/2005.12844v1 • [cs.LG]Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen http://arxiv.org/abs/2005.12900v1 • [cs.LG]Continual Local Training for Better Initialization of Federated Models Xin Yao, Lifeng Sun http://arxiv.org/abs/2005.12657v1 • [cs.LG]Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences Siddhartha Mishra, T. Konstantin Rusch http://arxiv.org/abs/2005.12564v1 • [cs.LG]Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang http://arxiv.org/abs/2005.12901v1 • [cs.LG]How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead Jacopo Tagliabue, Bingqing Yu, Marie Beaulieu http://arxiv.org/abs/2005.12781v1 • [cs.LG]Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry http://arxiv.org/abs/2005.12729v1 • [cs.LG]Improving Regression Uncertainty Estimates with an Empirical Prior Eric Zelikman, Christopher Healy http://arxiv.org/abs/2005.12496v1 • [cs.LG]Incidental Supervision: Moving beyond Supervised Learning Dan Roth http://arxiv.org/abs/2005.12339v1 • [cs.LG]Inherent Noise in Gradient Based Methods Arushi Gupta http://arxiv.org/abs/2005.12743v1 • [cs.LG]Interpretable Contrastive Learning for Networks Takanori Fujiwara, Jian Zhao, Francine Chen, Yaoliang Yu, Kwan-Liu Ma http://arxiv.org/abs/2005.12419v1 • [cs.LG]Is deeper better? It depends on locality of relevant features Takashi Mori, Masahito Ueda http://arxiv.org/abs/2005.12488v1 • [cs.LG]Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy Diego Aghi, Vittorio Mazzia, Marcello Chiaberge http://arxiv.org/abs/2005.12815v1 • [cs.LG]Memory-Efficient Sampling for Minimax Distance Measures Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani http://arxiv.org/abs/2005.12627v1 • [cs.LG]Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui http://arxiv.org/abs/2005.12394v1 • [cs.LG]Path Imputation Strategies for Signature Models Michael Moor, Max Horn, Christian Bock, Karsten Borgwardt, Bastian Rieck http://arxiv.org/abs/2005.12359v1 • [cs.LG]Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful Jingge Zhu http://arxiv.org/abs/2005.11018v2 • [cs.LG]TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang http://arxiv.org/abs/2005.11480v2 • [cs.LG]The best way to select features? Xin Man, Ernest Chan http://arxiv.org/abs/2005.12483v1 • [cs.LG]The price for fairness in a regression framework Thibaut Le Gouic, Jean-Michel Loubes http://arxiv.org/abs/2005.11720v2 • [cs.LG]Time-Variant Variational Transfer for Value Functions Giuseppe Canonaco, Andrea Soprani, Manuel Roveri, Marcello Restelli http://arxiv.org/abs/2005.12864v1 • [cs.LG]Towards Analogy-Based Explanations in Machine Learning Eyke Hüllermeier http://arxiv.org/abs/2005.12800v1 • [cs.LG]Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity Cong Wang, Yuanyuan Yang, Pengzhan Zhou http://arxiv.org/abs/2005.12326v1 • [cs.LG]qDKT: Question-centric Deep Knowledge Tracing Shashank Sonkar, Andrew E. Waters, Andrew S. Lan, Phillip J. Grimaldi, Richard G. Baraniuk http://arxiv.org/abs/2005.12442v1 • [cs.MA]Agent-Based Simulation of Collective Cooperation: From Experiment to Model Benedikt Kleinmeier, Gerta Köster, John Drury http://arxiv.org/abs/2005.12712v1 • [cs.NE]Applying Evolutionary Metaheuristics for Parameter Estimation of Individual-Based Models Antonio Prestes García, Alfonso Rodríguez-Patón http://arxiv.org/abs/2005.12841v1 • [cs.NE]BHN: A Brain-like Heterogeneous Network Tao Liu http://arxiv.org/abs/2005.12826v1 • [cs.NE]Spoken digit classification using a spin-wave delay-line active-ring reservoir computing Stuart Watt, Mikhail Kostylev http://arxiv.org/abs/2005.12557v1 • [cs.NI]Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks Ju-Hyung Lee, Jihong Park, Mehdi Bennis, Young-Chai Ko http://arxiv.org/abs/2005.12521v1 • [cs.NI]WiFiTrace: Network-based Contact Tracing for Infectious Diseases Using Passive WiFi Sensing Amee Trivedi, Camellia Zakaria, Rajesh Balan, Prashant Shenoy http://arxiv.org/abs/2005.12045v2 • [cs.OS]Study of Firecracker MicroVM Madhur Jain http://arxiv.org/abs/2005.12821v1 • [cs.RO]Adaptive Robot Navigation with Collision Avoidance subject to 2nd-order Uncertain Dynamics Christos K. Verginis, Dimos V. Dimarogonas http://arxiv.org/abs/2005.12599v1 • [cs.RO]AlphaPilot: Autonomous Drone Racing Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza http://arxiv.org/abs/2005.12813v1 • [cs.RO]Batch and Incremental Kinodynamic Motion Planning using Dynamic Factor Graphs Mandy Xie, Frank Dellaert http://arxiv.org/abs/2005.12514v1 • [cs.RO]Design of a Low-cost Miniature Robot to Assist the COVID-19 Nasopharyngeal Swab Sampling Shuangyi Wang, Kehao Wang, Hongbin Liu, Zengguang Hou http://arxiv.org/abs/2005.12679v1 • [cs.RO]Learning Whole-Body Human-Robot Haptic Interaction in Social Contexts Joseph Campbell, Katsu Yamane http://arxiv.org/abs/2005.12508v1 • [cs.RO]VDO-SLAM: A Visual Dynamic Object-aware SLAM System Jun Zhang, Mina Henein, Robert Mahony, Viorela Ila http://arxiv.org/abs/2005.11052v2 • [cs.RO]Vision-based control of a knuckle boom crane with online cable length estimation Geir Ole Tysse, Andrej Cibicik, Olav Egeland http://arxiv.org/abs/2005.11794v2 • [cs.RO]What the HoloLens Maps Is Your Workspace: Fast Mapping and Set-up of Robot Cells via Head Mounted Displays and Augmented Reality David Puljiz, Franziska Krebs, Fabian Bösing, Björn Hein http://arxiv.org/abs/2005.12651v1 • [cs.SI]Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks Cristián Bravo, María Óskarsdóttir http://arxiv.org/abs/2005.12418v1 • [cs.SI]International students’ loneliness, depression and stress levels in COVID-19 crisis. The role of social media and the host university Nikolaos Misirlis, Miriam H. Zwaan, David Weber http://arxiv.org/abs/2005.12806v1 • [cs.SI]Mathematics of Nested Districts: The Case of Alaska Sophia Caldera, Daryl DeFord, Moon Duchin, Samuel C. Gutekunst, Cara Nix http://arxiv.org/abs/2005.12732v1 • [cs.SI]Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis Caleb Ziems, Bing He, Sandeep Soni, Srijan Kumar http://arxiv.org/abs/2005.12423v1 • [cs.SI]Social Distancing as a Network Population Game in a Socially Connected World Zhijun Wu http://arxiv.org/abs/2005.12506v1 • [cs.SI]Twitter discussions and concerns about COVID-19 pandemic: Twitter data analysis using a machine learning approach Jia Xue, Junxiang Chen, Ran Hu, Chen Chen, ChengDa Zheng, Tingshao Zhu http://arxiv.org/abs/2005.12830v1 • [econ.EM]Fair Policy Targeting Davide Viviano, Jelena Bradic http://arxiv.org/abs/2005.12395v1 • [econ.GN]On the Causes and Consequences of Deviations from Rational Behavior Dainis Zegners, Uwe Sunde, Anthony Strittmatter http://arxiv.org/abs/2005.12638v1 • [eess.AS]Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement Dongyang Dai, Li Chen, Yuping Wang, Mu Wang, Rui Xia, Xuchen Song, Zhiyong Wu, Yuxuan Wang http://arxiv.org/abs/2005.12531v1 • [eess.IV]Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Anna Kuzina, Evgenii Egorov, Evgeny Burnaev http://arxiv.org/abs/2005.12639v1 • [eess.IV]Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging Bo Li, Marius de Groot, Rebecca M. E. Steketee, Rozanna Meijboom, Marion Smits, Meike W. Vernooij, M. Arfan Ikram, Jiren Liu, Wiro J. Niessen, Esther E. Bron http://arxiv.org/abs/2005.12838v1 • [eess.IV]Perceptual Extreme Super Resolution Network with Receptive Field Block Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo http://arxiv.org/abs/2005.12597v1 • [eess.IV]Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong http://arxiv.org/abs/2005.12855v1 • [eess.IV]Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Amina Bolatkan, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Naoki Mihara, Jun Itami, Tatsuya Harada, Ryuji Hamamoto http://arxiv.org/abs/2005.12573v1 • [eess.SP]Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data Oliver Mey, Willi Neudeck, André Schneider, Olaf Enge-Rosenblatt http://arxiv.org/abs/2005.12742v1 • [eess.SP]Physical Layer Authentication for Non-Coherent Massive SIMO-Enabled Industrial IoT Communications Zhifang Gu, He Chen, Pingping Xu, Yonghui Li, Branka Vucetic http://arxiv.org/abs/2005.12686v1 • [hep-ex]Exhaustive Neural Importance Sampling applied to Monte Carlo event generation Sebastian Pina-Otey, Federico Sánchez, Thorsten Lux, Vicens Gaitan http://arxiv.org/abs/2005.12719v1 • [math.CO]Partial direct product difference sets and sequences with ideal autocorrelation Büşra Özden, Oğuz Yayla http://arxiv.org/abs/2005.12497v1 • [math.FA]Multivariate Quasi-tight Framelets with High Balancing Orders Derived from Any Refinable Vector Functions Bin Han, Ran Lu http://arxiv.org/abs/2005.12451v1 • [math.OC]On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher http://arxiv.org/abs/2005.12649v1 • [math.ST]Likelihood theory for the Graph Ornstein-Uhlenbeck process Valentin Courgeau, Almut E. D. Veraart http://arxiv.org/abs/2005.12720v1 • [math.ST]Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms Thomas B. Berrett, Cristina Butucea http://arxiv.org/abs/2005.12601v1 • [math.ST]Matrix superharmonic priors for Bayes estimation under matrix quadratic loss Takeru Matsuda, William E. Strawderman http://arxiv.org/abs/2005.12479v1 • [physics.comp-ph]Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning Leslie Ching Ow Tiong, Jeongrae Kim, Sang Soo Han, Donghun Kim http://arxiv.org/abs/2005.12476v1 • [physics.soc-ph]Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models Seid Miad Zandavi, Taha Hossein Rashidi, Fatemeh Vafaee http://arxiv.org/abs/2005.12270v1 • [physics.soc-ph]Multiple abrupt phase transitions in urban transport congestion Aniello Lampo, Javier Borge-Holthoefer, Sergio Gómez, Albert Solé-Ribalta http://arxiv.org/abs/2005.12902v1 • [physics.soc-ph]Sustainable and resilient strategies for touristic cities against COVID-19: an agent-based approach Marco D’Orazio, Gabriele Bernardini, Enrico Quagliarini http://arxiv.org/abs/2005.12547v1 • [q-bio.NC]Construction of embedded fMRI resting state functional connectivity networks using manifold learning Ioannis Gallos, Evangelos Galaris, Constantinos Siettos http://arxiv.org/abs/2005.12390v1 • [q-bio.NC]DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning Fernanda L. Ribeiro, Steffen Bollmann, Alexander M. Puckett http://arxiv.org/abs/2005.12513v1 • [q-bio.NC]Optimal Learning with Excitatory and Inhibitory synapses Alessandro Ingrosso http://arxiv.org/abs/2005.12330v1 • [q-bio.PE]Statistically-based methodology for correcting delay-induced errors on the evaluation of COVID-19 pandemic Sebastián Contreras, Juan Pablo Biron-Lattes, H. Andrés Villavicencio, David Medina-Ortiz, Nyna Llanovarced-Kawles, Álvaro Olivera-Nappa http://arxiv.org/abs/2005.12376v1 • [q-bio.QM]Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model E. Benjamin Randall, Nicholas Z. Randolph, Alen Alexanderian, Mette S. Olufsen http://arxiv.org/abs/2005.12879v1 • [quant-ph]Experimental evaluation of quantum Bayesian networks on IBM QX hardware Sima E. Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James E. Steck http://arxiv.org/abs/2005.12474v1 • [quant-ph]The prospects of quantum computing in computational molecular biology Carlos Outeiral, Martin Strahm, Jiye Shi, Garrett M. Morris, Simon C. Benjamin, Charlotte M. Deane http://arxiv.org/abs/2005.12792v1 • [quant-ph]Trainability of Dissipative Perceptron-Based Quantum Neural Networks Kunal Sharma, M. Cerezo, Lukasz Cincio, Patrick J. Coles http://arxiv.org/abs/2005.12458v1 • [stat.AP]A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants Konstantin Posch, Christian Truden, Philipp Hungerländer, Jürgen Pilz http://arxiv.org/abs/2005.12647v1 • [stat.AP]Causal inference with multiple versions of treatment and application to personalized medicine Jonas Béal, Aurélien Latouche http://arxiv.org/abs/2005.12427v1 • [stat.AP]Evaluating epidemic forecasts in an interval format Johannes Bracher, Evan L. Ray, Tilmann Gneiting, Nicholas G. Reich http://arxiv.org/abs/2005.12881v1 • [stat.AP]GP-ETAS: Semiparametric Bayesian inference for the spatio-temporal Epidemic Type Aftershock Sequence model Christian Molkenthin, Christian Donner, Sebastian Reich, Gert Zöller, Sebastian Hainzl, Matthias Holschneider, Manfred Opper http://arxiv.org/abs/2005.12857v1 • [stat.AP]Modeling the Dynamics of the COVID-19 Population in Australia: A Probabilistic Analysis Ali Eshragh, Saed Alizamir, Peter Howley, Elizabeth Stojanovski http://arxiv.org/abs/2005.12455v1 • [stat.AP]SEIRD Model for Qatar Covid-19 Outbreak: A Case Study Ryad Ghanam, Edward L. Boone, Abdel-Salam G. Abdel-Salam http://arxiv.org/abs/2005.12777v1 • [stat.AP]Space-Time VON CRAMM: Evaluating Decision-Making in Tennis with Variational generatiON of Complete Resolution Arcs via Mixture Modeling Stephanie Kovalchik, Martin Ingram, Kokum Weeratunga, Cagatay Goncu http://arxiv.org/abs/2005.12853v1 • [stat.ME]Bayesian Multiresolution Modeling Of Georeferenced Data John Paige, Geir-Arne Fuglstad, Andrea Riebler, Jon Wakefield http://arxiv.org/abs/2005.11805v2 • [stat.ME]Bayesian joint models for longitudinal and survival data Carmen Armero http://arxiv.org/abs/2005.12822v1 • [stat.ME]Note on Local Projections as a System of Equations Masahiro Tanaka http://arxiv.org/abs/2005.12620v1 • [stat.ME]The probability of a robust inference for internal validity and its applications in regression models Tenglong Li, Kenneth A. Frank http://arxiv.org/abs/2005.12784v1 • [stat.ME]Truncating the Exponential with a Uniform Distribution Rafael Weißbach, Dominik Wied http://arxiv.org/abs/2005.12556v1 • [stat.ME]Varying-coefficient functional additive models Hidetoshi Matsui http://arxiv.org/abs/2005.12641v1 • [stat.ML]Causal Bayesian Optimization Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González http://arxiv.org/abs/2005.11741v2 • [stat.ML]Hard Shape-Constrained Kernel Machines Pierre-Cyril Aubin-Frankowski, Zoltan Szabo http://arxiv.org/abs/2005.12636v1 • [stat.ML]Robust Matrix Completion with Mixed Data Types Daqian Sun, Martin T. Wells http://arxiv.org/abs/2005.12415v1