今日学术视野(2020.5.29)

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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 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 math.AP - 偏微分方程分析 math.CO - 组合数学 math.ST - 统计理论 physics.app-ph - 应用物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [cond-mat.stat-mech]A reinforcement learning approach to rare trajectory sampling • [cs.AI]Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection • [cs.AI]Neural heuristics for SAT solving • [cs.AI]Rethinking Dialogue State Tracking with Reasoning • [cs.CL]A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews • [cs.CL]Catching Attention with Automatic Pull Quote Selection • [cs.CL]CausaLM: Causal Model Explanation Through Counterfactual Language Models • [cs.CL]Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models • [cs.CL]Comparing BERT against traditional machine learning text classification • [cs.CL]Counterfactual Detection meets Transfer Learning • [cs.CL]English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too • [cs.CL]Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing • [cs.CL]Establishing a New State-of-the-Art for French Named Entity Recognition • [cs.CL]Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling • [cs.CL]Exploring aspects of similarity between spoken personal narratives by disentangling them into narrative clause types • [cs.CL]Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? • [cs.CL]Learning with Weak Supervision for Email Intent Detection • [cs.CL]MT-Adapted Datasheets for Datasets: Template and Repository • [cs.CL]Self-Training for Unsupervised Parsing with PRPN • [cs.CL]Should Answer Immediately or Wait for Further Information? A Novel Wait-or-Answer Task and Its Predictive Approach • [cs.CL]Syntactic Structure Distillation Pretraining For Bidirectional Encoders • [cs.CL]The First Shared Task on Discourse Representation Structure Parsing • [cs.CL]Thirty Musts for Meaning Banking • [cs.CL]Tracking, exploring and analyzing recent developments in German-language online press in the face of the coronavirus crisis: cOWIDplus Analysis and cOWIDplus Viewer • [cs.CL]Transition-based Semantic Dependency Parsing with Pointer Networks • [cs.CL]Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing • [cs.CR]Aquareum: A Centralized Ledger Enhanced with Blockchain and Trusted Computing • [cs.CR]CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort • [cs.CR]Identifying Vulnerabilities of Industrial Control Systems using Evolutionary Multiobjective Optimisation • [cs.CR]SNARKs to the rescue: proof-of-contact in zero knowledge • [cs.CV]4D Visualization of Dynamic Events from Unconstrained Multi-View Videos • [cs.CV]ALBA : Reinforcement Learning for Video Object Segmentation • [cs.CV]AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings • [cs.CV]Accelerating Neural Network Inference by Overflow Aware Quantization • [cs.CV]Arbitrary Style Transfer via Multi-Adaptation Network • [cs.CV]AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph • [cs.CV]Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding • [cs.CV]Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images • [cs.CV]Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering • [cs.CV]End-to-End Object Detection with Transformers • [cs.CV]Evolutionary NAS with Gene Expression Programming of Cellular Encoding • [cs.CV]Extrapolative-Interpolative Cycle-Consistency Learning for Video Frame Extrapolation • [cs.CV]False Positive Removal for 3D Vehicle Detection with Penetrated Point Classifier • [cs.CV]GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling • [cs.CV]Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments • [cs.CV]Improve bone age assessment by learning from anatomical local regions • [cs.CV]Iteratively Optimized Patch Label Inference Network for Automatic Pavement Disease Detection • [cs.CV]Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing • [cs.CV]Learning to segment from misaligned and partial labels • [cs.CV]Long-Term Cloth-Changing Person Re-identification • [cs.CV]Multi-task deep learning for image segmentation using recursive approximation tasks • [cs.CV]NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation • [cs.CV]Object-QA: Towards High Reliable Object Quality Assessment • [cs.CV]PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds • [cs.CV]Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition • [cs.CV]Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3 • [cs.CV]Road Segmentation on low resolution Lidar point clouds for autonomous vehicles • [cs.CV]Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene • [cs.CV]SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition • [cs.CV]SSM-Net for Plants Disease Identification in LowData Regime • [cs.CV]TIME: Text and Image Mutual-Translation Adversarial Networks • [cs.CV]TRIE: End-to-End Text Reading and Information Extraction for Document Understanding • [cs.CV]Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings • [cs.CV]Towards Mesh Saliency Detection in 6 Degrees of Freedom • [cs.CV]Visual Interest Prediction with Attentive Multi-Task Transfer Learning • [cs.CV]Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation • [cs.CV]Zoom in to the details of human-centric videos • [cs.CY]Education Games To Learn Basic Algorithm With Near Isometric Projection Method • [cs.CY]From Tether to Libra: Stablecoins, Digital Currency and the Future of Money • [cs.CY]Risk scoring calculation for the current NHSx contact tracing app • [cs.CY]The Fallibility of Contact-Tracing Apps • [cs.CY]Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review • [cs.DC]Asynchronous Reconfiguration with Byzantine Failures • [cs.DC]ComPar: Optimized Multi-Compiler for Automatic OpenMP S2S Parallelization • [cs.DC]Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges • [cs.DC]HyperLogLog Sketch Acceleration on FPGA • [cs.DC]Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification • [cs.DC]Optimization of Tensor-product Operations in Nekbone on GPUs • [cs.DC]Structural Reductions Revisited • [cs.DC]Using PHAST to port Caffe library: First experiences and lessons learned • [cs.DL]Towards an Open Platform for Legal Information • [cs.HC]Gaze-based Autism Detection for Adolescents and Young Adults using Prosaic Videos • [cs.HC]Who is this Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI • [cs.IR]A Study of Neural Matching Models for Cross-lingual IR • [cs.IR]ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation • [cs.IR]BRENDA: Browser Extension for Fake News Detection • [cs.IR]Devising Malware Characterstics using Transformers • [cs.IR]DimensionRank: Personal Neural Representations for Personalized General Search • [cs.IR]How to Retrain Recommender System? A Sequential Meta-Learning Method • [cs.IR]Ranking-Incentivized Quality Preserving Content Modification • [cs.IR]Salience and Market-aware Skill Extraction for Job Targeting • [cs.IR]Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users • [cs.IT]Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with low-resolution ADC/DAC • [cs.IT]Downlink Asynchronous Non-Orthogonal Multiple Access with Quantizer Optimization • [cs.IT]MF-based Dimension Reduction Signal Compression for Fronthaul-Constrained Distributed MIMO C-RAN • [cs.IT]Rate-Splitting Multiple Access for Downlink Multi-Antenna Communications: Physical Layer Design and Link-level Simulations • [cs.IT]Robust Precoding in Massive MIMO: A Deep Learning Approach • [cs.IT]Secure Transmission for Intelligent Reflecting Surface-Assisted mmWave and Terahertz Systems • [cs.IT]Spatially Coupled Codes with Sub-Block Locality: Joint Finite Length-Asymptotic Design Approach • [cs.IT]Wireless Feedback Control with Variable Packet Length for Industrial IoT • [cs.LG]An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images • [cs.LG]Approximating periodic functions and solving differential equations using a novel type of Fourier Neural Networks • [cs.LG]Benchmarking Differentially Private Residual Networks for Medical Imagery • [cs.LG]CLOCS: Contrastive Learning of Cardiac Signals • [cs.LG]Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling • [cs.LG]Data Separability for Neural Network Classifiers and the Development of a Separability Index • [cs.LG]Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows • [cs.LG]Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries • [cs.LG]Fast and Effective Robustness Certification for Recurrent Neural Networks • [cs.LG]General-Purpose User Embeddings based on Mobile App Usage • [cs.LG]Generative Adversarial Networks Applied to Observational Health Data • [cs.LG]Generative Adversarial Networks for Bitcoin Data Augmentation • [cs.LG]Instance Explainable Temporal Network For Multivariate Timeseries • [cs.LG]Interpretable and Efficient Heterogeneous Graph Convolutional Network • [cs.LG]Kernel Self-Attention in Deep Multiple Instance Learning • [cs.LG]Kernel methods library for pattern analysis and machine learning in python • [cs.LG]MOPO: Model-based Offline Policy Optimization • [cs.LG]On Mutual Information in Contrastive Learning for Visual Representations • [cs.LG]Precisely Predicting Acute Kidney Injury with Convolutional Neural Network Based on Electronic Health Record Data • [cs.LG]Probabilistic solution of chaotic dynamical system inverse problems using Bayesian Artificial Neural Networks • [cs.LG]Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport • [cs.LG]SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure • [cs.LG]Skew Gaussian Processes for Classification • [cs.LG]Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search • [cs.LG]TSML (Time Series Machine Learnng) • [cs.LG]Towards intervention-centric causal reasoning in learning agents • [cs.MA]Time-Independent Planning for Multiple Moving Agents • [cs.NI]Experimental Analysis of Safety Application Reliability in V2V Networks • [cs.PL]Neural Edit Completion • [cs.RO]3D-OGSE: Online Smooth Trajectory Generation for Quadrotors using Generalized Shape Expansion in Unknown 3D Environments • [cs.RO]Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints • [cs.RO]Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems • [cs.RO]Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures • [cs.RO]Monitoring and Diagnosability of Perception Systems • [cs.RO]Predictive Modeling of Periodic Behavior for Human-Robot Symbiotic Walking • [cs.SE]Beware the evolving ‘intelligent’ web service! An integration architecture tactic to guard AI-first components • [cs.SE]How does Working from Home Affect Developer Productivity? — A Case Study of Baidu During COVID-19 Pandemic • [cs.SE]Lessons learned in a decade of research software engineering GPU applications • [cs.SE]Machine Learning for Software Engineering: A Systematic Mapping • [cs.SI]Geometrical congruence and efficient greedy navigability of complex networks • [cs.SI]NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities • [cs.SI]Neural Temporal Opinion Modelling for Opinion Prediction on Twitter • [cs.SI]On the Detection of Disinformation Campaign Activity with Network Analysis • [cs.SI]Pandemic News: Facebook Pages of Mainstream News Media and the Coronavirus Crisis — A Computational Content Analysis • [econ.GN]Impact of the State of Emergency Declaration for COVID-19 on Preventive Behaviors and Mental Conditions in Japan: Difference in Difference Analysis using Panel Data • [eess.AS]A comparison of Vietnamese Statistical Parametric Speech Synthesis Systems • [eess.AS]CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency • [eess.AS]Earballs: Neural Transmodal Translation • [eess.AS]Semi-supervised source localization with deep generative modeling • [eess.IV]Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation • [eess.IV]End-to-end Optimized Video Compression with MV-Residual Prediction • [eess.IV]Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction • [eess.IV]How to do Physics-based Learning • [eess.IV]Prediction of Thrombectomy FunctionalOutcomes using Multimodal Data • [eess.IV]Segmentation Loss Odyssey • [eess.SP]Arm order recognition in multi-armed bandit problem with laser chaos time series • [eess.SP]Effects of Forward Error Correction on Communications Aware Evasion Attacks • [eess.SP]Investigating a Spectral Deception Loss Metric for Training Machine Learning-based Evasion Attacks • [eess.SP]Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data • [eess.SP]Peak Forecasting for Battery-based Energy Optimizations in Campus Microgrids • [math.AP]On the Convergence of Gradient Descent Training for Two-layer ReLU-networks in the Mean Field Regime • [math.CO]Stolarsky’s invariance principle for finite metric spaces • [math.ST]Asymptotic Spectral Theory for Spatial Data • [physics.app-ph]Microstructure and Water Absorption of Ancient Concrete from Pompeii: An Integrated Synchrotron Microtomography and Neutron Radiography Characterization • [physics.comp-ph]Data-Driven Continuum Dynamics via Transport-Teleport Duality • [physics.comp-ph]Graph Neural Network for Hamiltonian-Based Material Property Prediction • [physics.soc-ph]Gender and collaboration patterns in a temporal scientific authorship network • [physics.soc-ph]Hyperbolic Mapping of Human Proximity Networks • [q-bio.PE]Estimating the Number of Infected Cases in COVID-19 Pandemic • [q-bio.PE]Simulation of the COVID-19 pandemic on the social network of Slovenia: estimating the intrinsic forecast uncertainty • [q-bio.PE]Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of COVID-19 pandemic • [q-bio.QM]Targeted design of antiviral compounds against SARS-CoV-2 with conditional generative models • [stat.AP]Bayesian model selection in the $\mathcal{M}$-open setting — Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation • [stat.AP]Bibliometric indices as a measure of competition in sports • [stat.AP]Modelling non-stationary extremes of storm severity: a tale of two approaches • [stat.AP]Probabilistic multivariate electricity price forecasting using implicit generative ensemble post-processing • [stat.ME]A spatial template independent component analysis model for subject-level brain network estimation and inference • [stat.ME]Analysis of time-to-event for observational studies: Guidance to the use of intensity models • [stat.ME]How to choose between different Bayesian posterior indices for hypothesis testing in practice • [stat.ME]Latent-state models for precision medicine • [stat.ME]Median bias reduction in cumulative link models • [stat.ME]Nonmyopic and pseudo-nonmyopic approaches to optimal sequential design in the presence of covariates • [stat.ME]On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder • [stat.ME]Portfolio optimization with mixture vector autoregressive models • [stat.ME]Precision Aggregated Local Models • [stat.ME]Smoothed inference and graphics via LP modeling • [stat.ML]Class-Weighted Classification: Trade-offs and Robust Approaches • [stat.ML]Convergence Analysis of Riemannian Stochastic Approximation Schemes • [stat.ML]On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness • [stat.ML]Selective Inference for Latent Block Models • [stat.ML]Sparse Identification of Nonlinear Dynamical Systems via Reweighted $\ell1$-regularized Least Squares • [stat.ML]Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models • [stat.ML]To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation • [stat.ML]VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics ····································· • [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/2005.12890v2 • [cs.AI]Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection Jakob Bossek, Pascal Kerschke, Heike Trautmann http://arxiv.org/abs/2005.13289v1 • [cs.AI]Neural heuristics for SAT solving Sebastian Jaszczur, Michał Łuszczyk, Henryk Michalewski http://arxiv.org/abs/2005.13406v1 • [cs.AI]Rethinking Dialogue State Tracking with Reasoning Lizi Liao, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua http://arxiv.org/abs/2005.13129v1 • [cs.CL]A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews Edison Marrese-Taylor, Cristian Rodriguez-Opazo, Jorge A. Balazs, Stephen Gould, Yutaka Matsuo http://arxiv.org/abs/2005.13362v1 • [cs.CL]Catching Attention with Automatic Pull Quote Selection Tanner Bohn, Charles X. Ling http://arxiv.org/abs/2005.13263v1 • [cs.CL]CausaLM: Causal Model Explanation Through Counterfactual Language Models Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart http://arxiv.org/abs/2005.13407v1 • [cs.CL]Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang http://arxiv.org/abs/2005.13170v1 • [cs.CL]Comparing BERT against traditional machine learning text classification Santiago González-Carvajal, Eduardo C. Garrido-Merchán http://arxiv.org/abs/2005.13012v1 • [cs.CL]Counterfactual Detection meets Transfer Learning Kelechi Nwaike, Licheng Jiao http://arxiv.org/abs/2005.13125v1 • [cs.CL]English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too Jason Phang, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Iacer Calixto, Samuel R. Bowman http://arxiv.org/abs/2005.13013v1 • [cs.CL]Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing Daniel Fernández-González, Carlos Gómez-Rodríguez http://arxiv.org/abs/2005.13334v1 • [cs.CL]Establishing a New State-of-the-Art for French Named Entity Recognition Pedro Javier Ortiz Suárez, Yoann Dupont, Benjamin Muller, Laurent Romary, Benoît Sagot http://arxiv.org/abs/2005.13236v1 • [cs.CL]Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling Thomas Davidson, Debasmita Bhattacharya http://arxiv.org/abs/2005.13041v1 • [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/2005.12762v2 • [cs.CL]Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? Kobi Leins, Jey Han Lau, Timothy Baldwin http://arxiv.org/abs/2005.13213v1 • [cs.CL]Learning with Weak Supervision for Email Intent Detection Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan Dumais http://arxiv.org/abs/2005.13084v1 • [cs.CL]MT-Adapted Datasheets for Datasets: Template and Repository Marta R. Costa-jussà, Roger Creus, Oriol Domingo, Albert Domínguez, Miquel Escobar, Cayetana López, Marina Garcia, Margarita Geleta http://arxiv.org/abs/2005.13156v1 • [cs.CL]Self-Training for Unsupervised Parsing with PRPN Anhad Mohananey, Katharina Kann, Samuel R. Bowman http://arxiv.org/abs/2005.13455v1 • [cs.CL]Should Answer Immediately or Wait for Further Information? A Novel Wait-or-Answer Task and Its Predictive Approach Zehao Lin, Shaobo Cui, Xiaoming Kang, Guodun Li, Feng Ji, Haiqing Chen, Yin Zhang http://arxiv.org/abs/2005.13119v1 • [cs.CL]Syntactic Structure Distillation Pretraining For Bidirectional Encoders Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom http://arxiv.org/abs/2005.13482v1 • [cs.CL]The First Shared Task on Discourse Representation Structure Parsing Lasha Abzianidze, Rik van Noord, Hessel Haagsma, Johan Bos http://arxiv.org/abs/2005.13399v1 • [cs.CL]Thirty Musts for Meaning Banking Johan Bos, Lasha Abzianidze http://arxiv.org/abs/2005.13421v1 • [cs.CL]Tracking, exploring and analyzing recent developments in German-language online press in the face of the coronavirus crisis: cOWIDplus Analysis and cOWIDplus Viewer Sascha Wolfer, Alexander Koplenig, Frank Michaelis, Carolin Müller-Spitzer http://arxiv.org/abs/2005.13316v1 • [cs.CL]Transition-based Semantic Dependency Parsing with Pointer Networks Daniel Fernández-González, Carlos Gómez-Rodríguez http://arxiv.org/abs/2005.13344v1 • [cs.CL]Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing Ruisheng Cao, Su Zhu, Chenyu Yang, Chen Liu, Rao Ma, Yanbin Zhao, Lu Chen, Kai Yu http://arxiv.org/abs/2005.13485v1 • [cs.CR]Aquareum: A Centralized Ledger Enhanced with Blockchain and Trusted Computing Ivan Homoliak, Pawel Szalachowski http://arxiv.org/abs/2005.13339v1 • [cs.CR]CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort David Culler, Prabal Dutta, Gabe Fierro, Joseph E. Gonzalez, Nathan Pemberton, Johann Schleier-Smith, K. Shankari, Alvin Wan, Thomas Zachariah http://arxiv.org/abs/2005.13164v1 • [cs.CR]Identifying Vulnerabilities of Industrial Control Systems using Evolutionary Multiobjective Optimisation Nilufer Tuptuk, Stephen Hailes http://arxiv.org/abs/2005.13095v1 • [cs.CR]SNARKs to the rescue: proof-of-contact in zero knowledge Zachary Ratliff, Joud Khoury http://arxiv.org/abs/2005.12676v2 • [cs.CV]4D Visualization of Dynamic Events from Unconstrained Multi-View Videos Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa Narasimhan http://arxiv.org/abs/2005.13532v1 • [cs.CV]ALBA : Reinforcement Learning for Video Object Segmentation Shreyank N Gowda, Panagiotis Eustratiadis, Timothy Hospedales, Laura Sevilla-Lara http://arxiv.org/abs/2005.13039v1 • [cs.CV]AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri http://arxiv.org/abs/2005.13402v1 • [cs.CV]Accelerating Neural Network Inference by Overflow Aware Quantization Hongwei Xie, Shuo Zhang, Huanghao Ding, Yafei Song, Baitao Shao, Conggang Hu, Ling Cai, Mingyang Li http://arxiv.org/abs/2005.13297v1 • [cs.CV]Arbitrary Style Transfer via Multi-Adaptation Network Yingying Deng, Fan Tang, Weiming Dong, Wen Sun, Feiyue Huang, Changsheng Xu http://arxiv.org/abs/2005.13219v1 • [cs.CV]AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph Xin Chen, Yuwei Li, Xi Luo, Tianjia Shao, Jingyi Yu, Kun Zhou, Youyi Zheng http://arxiv.org/abs/2005.13312v1 • [cs.CV]Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding Yunlei Tang, Sebastian Dorn, Chiragkumar Savani http://arxiv.org/abs/2005.13423v1 • [cs.CV]Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images Damien Grosgeorge, Maxime Arbelot, Alex Goupilleau, Tugdual Ceillier, Renaud Allioux http://arxiv.org/abs/2005.13215v1 • [cs.CV]Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering Guang Chen, Shiwen Shen, Longyin Wen, Si Luo, Liefeng Bo http://arxiv.org/abs/2005.13131v1 • [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/2005.12872v2 • [cs.CV]Evolutionary NAS with Gene Expression Programming of Cellular Encoding Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi http://arxiv.org/abs/2005.13110v1 • [cs.CV]Extrapolative-Interpolative Cycle-Consistency Learning for Video Frame Extrapolation Sangjin Lee, Hyeongmin Lee, Taeoh Kim, Sangyoun Lee http://arxiv.org/abs/2005.13194v1 • [cs.CV]False Positive Removal for 3D Vehicle Detection with Penetrated Point Classifier Sungmin Woo, Sangwon Hwang, Woojin Kim, Junhyeop Lee, Dogyoon Lee, Sangyoun Lee http://arxiv.org/abs/2005.13153v1 • [cs.CV]GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling Zhuoying Wang, YongtaoWang, Zhi Tang, Yangyan Li, Ying Chen, Haibin Ling, Weisi Lin http://arxiv.org/abs/2005.13363v1 • [cs.CV]Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments Pegah Salehi, Abdolah Chalechale, Maryam Taghizadeh http://arxiv.org/abs/2005.13178v1 • [cs.CV]Improve bone age assessment by learning from anatomical local regions Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang http://arxiv.org/abs/2005.13452v1 • [cs.CV]Iteratively Optimized Patch Label Inference Network for Automatic Pavement Disease Detection Wenhao Tang, Qiming Zhao, Sheng Huang, Ren Li, Luwen Huangfu http://arxiv.org/abs/2005.13298v1 • [cs.CV]Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara http://arxiv.org/abs/2005.13337v1 • [cs.CV]Learning to segment from misaligned and partial labels Simone Fobi, Tere 1585 nce Conlon, Jayant Taneja, Vijay Modi http://arxiv.org/abs/2005.13180v1 • [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/2005.12633v2 • [cs.CV]Multi-task deep learning for image segmentation using recursive approximation tasks Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schuetz, Carola-Bibiane Schönlieb http://arxiv.org/abs/2005.13053v1 • [cs.CV]NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation Cameron Trotter, Georgia Atkinson, Matt Sharpe, Kirsten Richardson, A. Stephen McGough, Nick Wright, Ben Burville, Per Berggren http://arxiv.org/abs/2005.13359v1 • [cs.CV]Object-QA: Towards High Reliable Object Quality Assessment Jing Lu, Baorui Zou, Zhanzhan Cheng, Shiliang Pu, Shuigeng Zhou, Yi Niu, Fei Wu http://arxiv.org/abs/2005.13116v1 • [cs.CV]PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds Zhongpai Gao, Guangtao Zhai, Junchi Yan, Xiaokang Yang http://arxiv.org/abs/2005.13135v1 • [cs.CV]Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition Lei Kang, Pau Riba, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas http://arxiv.org/abs/2005.13044v1 • [cs.CV]Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3 Petr Hurtik, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasanek, Tomas Nejezchleba http://arxiv.org/abs/2005.13243v1 • [cs.CV]Road Segmentation on low resolution Lidar point clouds for autonomous vehicles Leonardo Gigli, B Ravi Kiran, Thomas Paul, Andres Serna, Nagarjuna Vemuri, Beatriz Marcotegui, Santiago Velasco-Forero http://arxiv.org/abs/2005.13102v1 • [cs.CV]Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene Yanliang Zhu, Dongchun Ren, Mingyu Fan, Deheng Qian, Xin Li, Huaxia Xia http://arxiv.org/abs/2005.13133v1 • [cs.CV]SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu, Futai Zou http://arxiv.org/abs/2005.13117v1 • [cs.CV]SSM-Net for Plants Disease Identification in LowData Regime Shruti Jadon http://arxiv.org/abs/2005.13140v1 • [cs.CV]TIME: Text and Image Mutual-Translation Adversarial Networks Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal http://arxiv.org/abs/2005.13192v1 • [cs.CV]TRIE: End-to-End Text Reading and Information Extraction for Document Understanding Peng Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Jing Lu, Liang Qiao, Yi Niu, Fei Wu http://arxiv.org/abs/2005.13118v1 • [cs.CV]Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings Lasse Hansen, Mattias P. Heinrich http://arxiv.org/abs/2005.13338v1 • [cs.CV]Towards Mesh Saliency Detection in 6 Degrees of Freedom Xiaoying Ding, Zhenzhong Chen http://arxiv.org/abs/2005.13127v1 • [cs.CV]Visual Interest Prediction with Attentive Multi-Task Transfer Learning Deepanway Ghosal, Maheshkumar H. Kolekar http://arxiv.org/abs/2005.12770v2 • [cs.CV]Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu http://arxiv.org/abs/2005.13366v1 • [cs.CV]Zoom in to the details of human-centric videos Guanghan Li, Yaping Zhao, Mengqi Ji, Xiaoyun Yuan, Lu Fang http://arxiv.org/abs/2005.13222v1 • [cs.CY]Education Games To Learn Basic Algorithm With Near Isometric Projection Method Wirawan Istiono, Hijrah, Nur Nawaningtyas. P http://arxiv.org/abs/2005.13225v1 • [cs.CY]From Tether to Libra: Stablecoins, Digital Currency and the Future of Money Alexander Lipton, Aetienne Sardon, Fabian Schär, Christian Schüpbach http://arxiv.org/abs/2005.12949v1 • [cs.CY]Risk scoring calculation for the current NHSx contact tracing app Mark Briers, Marcos Charalambides, Chris Holmes http://arxiv.org/abs/2005.11057v1 • [cs.CY]The Fallibility of Contact-Tracing Apps Piotr Sapiezynski, Johanna Pruessing, Vedran Sekara http://arxiv.org/abs/2005.11297v3 • [cs.CY]Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, P. Nagabhushan, K K Soundra Pandian, Praveer Saxena http://arxiv.org/abs/2005.11507v3 • [cs.DC]Asynchronous Reconfiguration with Byzantine Failures Petr Kuznetsov, Andrei Tonkikh http://arxiv.org/abs/2005.13499v1 • [cs.DC]ComPar: Optimized Multi-Compiler for Automatic OpenMP S2S Parallelization Idan Mosseri, Lee-or Alon, Re’em Harel, Gal Oren http://arxiv.org/abs/2005.13304v1 • [cs.DC]Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li http://arxiv.org/abs/2005.13247v1 • [cs.DC]HyperLogLog Sketch Acceleration on FPGA Amit Kulkarni, Monica Chiosa, Thomas B. Preußer, Kaan Kara, David Sidler, Gustavo Alonso http://arxiv.org/abs/2005.13332v1 • [cs.DC]Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification Sergio M. Martin, Daniel Wälchli, Georgios Arampatzis, Petros Koumoutsakos http://arxiv.org/abs/2005.13457v1 • [cs.DC]Optimization of Tensor-product Operations in Nekbone on GPUs Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis http://arxiv.org/abs/2005.13425v1 • [cs.DC]Structural Reductions Revisited Yann Thierry-Mieg http://arxiv.org/abs/2005.12911v1 • [cs.DC]Using PHAST to port Caffe library: First experiences and lessons learned Eduardo Gómez, Pablo Martínez, Biagio Peccerillo, Sandro Bartolini, José Manuel García, Gregorio Bernabé http://arxiv.org/abs/2005.13076v1 • [cs.DL]Towards an Open Platform for Legal Information Malte Ostendorff, Till Blume, Saskia Ostendorff http://arxiv.org/abs/2005.13342v1 • [cs.HC]Gaze-based Autism Detection for Adolescents and Young Adults using Prosaic Videos Karan Ahuja, Abhishek Bose, Mohit Jain, Kuntal Dey, Anil Joshi, Krishnaveni Achary, Blessin Varkey, Chris Harrison, Mayank Goel http://arxiv.org/abs/2005.12951v1 • [cs.HC]Who is this Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI Irene Celino http://arxiv.org/abs/2005.13275v1 • [cs.IR]A Study of Neural Matching Models for Cross-lingual IR Puxuan Yu, James Allan http://arxiv.org/abs/2005.12994v1 • [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/2005.12002v3 • [cs.IR]BRENDA: Browser Extension for Fake News Detection Bjarte Botnevik, Eirik Sakariassen, Vinay Setty http://arxiv.org/abs/2005.13270v1 • [cs.IR]Devising Malware Characterstics using Transformers Simra Shahid, Tanmay Singh, Yash Sharma, Kapil Sharma http://arxiv.org/abs/2005.12978v1 • [cs.IR]DimensionRank: Personal Neural Representations for Personalized General Search Gregory Coppola http://arxiv.org/abs/2005.13007v1 • [cs.IR]How to Retrain Recommender System? A Sequential Meta-Learning Method Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang http://arxiv.org/abs/2005.13258v1 • [cs.IR]Ranking-Incentivized Quality Preserving Content Modification Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber http://arxiv.org/abs/2005.12989v1 • [cs.IR]Salience and Market-aware Skill Extraction for Job Targeting Baoxu Shi, Jaewon Yang, Feng Guo, Qi He http://arxiv.org/abs/2005.13094v1 • [cs.IR]Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua http://arxiv.org/abs/2005.12979v1 • [cs.IT]Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with low-resolution ADC/DAC Yunseong Cho, Jinseok Choi, Brian L. Evans http://arxiv.org/abs/2005.12907v1 • [cs.IT]Downlink Asynchronous Non-Orthogonal Multiple Access with Quantizer Optimization Xun Zou, Mehdi Ganji, Hamid Jafarkhani http://arxiv.org/abs/2005.13403v1 • [cs.IT]MF-based Dimension Reduction Signal Compression for Fronthaul-Constrained Distributed MIMO C-RAN Fred Wiffen, Mohammud Z. Bocus, Angela Doufexi, Woon Hau Chin http://arxiv.org/abs/2005.13137v1 • [cs.IT]Rate-Splitting Multiple Access for Downlink Multi-Antenna Communications: Physical Layer Design and Link-level Simulations Onur Dizdar, Yijie Mao, Wei Han, Bruno Clerckx http://arxiv.org/abs/2005.13257v1 • [cs.IT]Robust Precoding in Massive MIMO: A Deep Learning Approach Junchao Shi, Wenjin Wang, Xinping Yi, Xiqi Gao, Geoffrey Ye Li http://arxiv.org/abs/2005.13134v1 • [cs.IT]Secure Transmission for Intelligent Reflecting Surface-Assisted mmWave and Terahertz Systems Jingping Qiao, Mohamed-Slim Alouini http://arxiv.org/abs/2005.13451v1 • [cs.IT]Spatially Coupled Codes with Sub-Block Locality: Joint Finite Length-Asymptotic Design Approach Homa Esfahanizadeh, Eshed Ram, Yuval Cassuto, Lara Dolecek http://arxiv.org/abs/2005.13450v1 • [cs.IT]Wireless Feedback Control with Variable Packet Length for Industrial IoT Kang Huang, Wanchun Liu, Yonghui Li, Andrey Savkin, Branka Vucetic http://arxiv.org/abs/2005.13321v1 • [cs.LG]An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images Jonas Wurst, Alberto Flores Fernández, Michael Botsch, Wolfgang Utschick http://arxiv.org/abs/2005.13288v1 • [cs.LG]Approximating periodic functions and solving differential equations using a novel type of Fourier Neural Networks Marieme Ngom, Oana Marin http://arxiv.org/abs/2005.13100v1 • [cs.LG]Benchmarking Differentially Private Residual Networks for Medical Imagery Sahib Singh, Harshvardhan Sikka http://arxiv.org/abs/2005.13099v1 • [cs.LG]CLOCS: Contrastive Learning of Cardiac Signals Dani Kiyasseh, Tingting Zhu, David A. Clifton http://arxiv.org/abs/2005.13249v1 • [cs.LG]Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling Rylan Perumal, Terence L van Zyl http://arxiv.org/abs/2005.13040v1 • [cs.LG]Data Separability for Neural Network Classifiers and the Development of a Separability Index Shuyue Guan, Murray Loew, Hanseok Ko http://arxiv.org/abs/2005.13120v1 • [cs.LG]Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows Derek Onken, Lars Ruthotto http://arxiv.org/abs/2005.13420v1 • [cs.LG]Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries Moritz Seiler, Heike Trautmann, Pascal Kerschke http://arxiv.org/abs/2005.13293v1 • [cs.LG]Fast and Effective Robustness Certification for Recurrent Neural Networks Wonryong Ryou, Jiayu Chen, Mislav Balunovic, Gagandeep Singh, Andrei Dan, Martin Vechev http://arxiv.org/abs/2005.13300v1 • [cs.LG]General-Purpose User Embeddings based on Mobile App Usage Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang http://arxiv.org/abs/2005.13303v1 • [cs.LG]Generative Adversarial Networks Applied to Observational Health Data Georges-Filteau, Jeremy, Cirillo Elisa http://arxiv.org/abs/2005.13510v1 • [cs.LG]Generative Adversarial Networks for Bitcoin Data Augmentation Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia http://arxiv.org/abs/2005.13369v1 • [cs.LG]Instance Explainable Temporal Network For Multivariate Timeseries Naveen Madiraju, Homa Karimabadi http://arxiv.org/abs/2005.13037v1 • [cs.LG]Interpretable and Efficient Heterogeneous Graph Convolutional Network Yaming Yang, Ziyu Guan, Jianxin Li, Jianbin Huang, Wei Zhao http://arxiv.org/abs/2005.13183v1 • [cs.LG]Kernel Self-Attention in Deep Multiple Instance Learning Dawid Rymarczyk, Jacek Tabor, Bartosz Zieliński http://arxiv.org/abs/2005.12991v1 • [cs.LG]Kernel methods library for pattern analysis and machine learning in python Pradeep Reddy Raamana http://arxiv.org/abs/2005.13483v1 • [cs.LG]MOPO: Model-based Offline Policy Optimization Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Zou, Sergey Levine, Chelsea Finn, Tengyu Ma http://arxiv.org/abs/2005.13239v1 • [cs.LG]On Mutual Information in Contrastive Learning for Visual Representations Mike Wu, Chengxu Zhuang, Milan Mosse, Daniel Yamins, Noah Goodman http://arxiv.org/abs/2005.13149v1 • [cs.LG]Precisely Predicting Acute Kidney Injury with Convolutional Neural Network Based on Electronic Health Record Data Yu Wang, JunPeng Bao, JianQiang Du, YongFeng Li http://arxiv.org/abs/2005.13171v1 • [cs.LG]Probabilistic solution of chaotic dynamical system inverse problems using Bayesian Artificial Neural Networks David K. E. Green, Filip Rindler http://arxiv.org/abs/2005.13028v1 • [cs.LG]Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson, Lili Yu, Tao Lei http://arxiv.org/abs/2005.13111v1 • [cs.LG]SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure Koorosh Aslansefat, Ioannis Sorokos, Declan Whiting, Ramin Tavakoli Kolagari, Yiannis Papadopoulos http://arxiv.org/abs/2005.13166v1 • [cs.LG]Skew Gaussian Processes for Classification Alessio Benavoli, Dario Azzimonti, Dario Piga http://arxiv.org/abs/2005.12987v1 • [cs.LG]Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley http://arxiv.org/abs/2005.13092v1 • [cs.LG]TSML (Time Series Machine Learnng) Paulito Palmes, Joern Ploennigs, Niall Brady http://arxiv.org/abs/2005.13191v1 • [cs.LG]Towards intervention-centric causal reasoning in learning agents Benjamin Lansdell http://arxiv.org/abs/2005.12968v1 • [cs.MA]Time-Independent Planning for Multiple Moving Agents Keisuke Okumura, Yasumasa Tamura, Xavier Défago http://arxiv.org/abs/2005.13187v1 • [cs.NI]Experimental Analysis of Safety Application Reliability in V2V Networks Biplav Choudhury, Vijay K Shah, Avik Dayal, Jeffrey H. Reed http://arxiv.org/abs/2005.13031v1 • [cs.PL]Neural Edit Completion Shaked Brody, Uri Alon, Eran Yahav http://arxiv.org/abs/2005.13209v1 • [cs.RO]3D-OGSE: Online Smooth Trajectory Generation for Quadrotors using Generalized Shape Expansion in Unknown 3D Environments Vrushabh Zinage, Senthil Hariharan Arul, Dinesh Manocha http://arxiv.org/abs/2005.13229v1 • [cs.RO]Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg http://arxiv.org/abs/2005.13109v1 • [cs.RO]Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan Ratliff http://arxiv.org/abs/2005.13143v1 • [cs.RO]Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures Allen Wang, Xin Huang, Ashkan Jasour, Brian Williams http://arxiv.org/abs/2005.13458v1 • [cs.RO]Monitoring and Diagnosability of Perception Systems Pasquale Antonante, David I. Spivak, Luca Carlone http://arxiv.org/abs/2005.11816v2 • [cs.RO]Predictive Modeling of Periodic Behavior for Human-Robot Symbiotic Walking Geoffrey Clark, Joseph Campbell, Seyed Mostafa Rezayat Sorkhabadi, Wenlong Zhang, Heni Ben Amor http://arxiv.org/abs/2005.13139v1 • [cs.SE]Beware the evolving ‘intelligent’ web service! An integration architecture tactic to guard AI-first components Alex Cummaudo, Scott Barnett, Rajesh Vasa, John Grundy, Mohamed Abdelrazek http://arxiv.org/abs/2005.13186v1 • [cs.SE]How does Working from Home Affect Developer Productivity? — A Case Study of Baidu During COVID-19 Pandemic Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang http://arxiv.org/abs/2005.13167v1 • [cs.SE]Lessons learned in a decade of research software engineering GPU applications Ben van Werkhoven, Willem Jan Palenstijn, Alessio Sclocco http://arxiv.org/abs/2005.13227v1 • [cs.SE]Machine Learning for Software Engineering: A Systematic Mapping Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed http://arxiv.org/abs/2005.13299v1 • [cs.SI]Geometrical congruence and efficient greedy navigability of complex networks Carlo Vittorio Cannistraci, Alessandro Muscoloni http://arxiv.org/abs/2005.13255v1 • [cs.SI]NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh http://arxiv.org/abs/2005.13524v1 • [cs.SI]Neural Temporal Opinion Modelling for Opinion Prediction on Twitter Lixing Zhu, Yulan He, Deyu Zhou http://arxiv.org/abs/2005.13486v1 • [cs.SI]On the Detection of Disinformation Campaign Activity with Network Analysis Luis Vargas, Patrick Emami, Patrick Traynor http://arxiv.org/abs/2005.13466v1 • [cs.SI]Pandemic News: Facebook Pages of Mainstream News Media and the Coronavirus Crisis — A Computational Content Analysis Thorsten Quand, Svenja Boberg, Tim Schatto-Eckrodt, Lena Frischlich http://arxiv.org/abs/2005.13290v1 • [econ.GN]Impact of the State of Emergency Declaration for COVID-19 on Preventive Behaviors and Mental Conditions in Japan: Difference in Difference Analysis using Panel Data Eiji Yamamura., Yoshiro Tsutsui http://arxiv.org/abs/2005.13008v1 • [eess.AS]A comparison of Vietnamese Statistical Parametric Speech Synthesis Systems Huy Kinh Phan, Viet Lam Phung, Tuan Anh Dinh, Bao Quoc Nguyen http://arxiv.org/abs/2005.12962v1 • [eess.AS]CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency Keyu An, Hongyu Xiang, Zhijian Ou http://arxiv.org/abs/2005.13326v1 • [eess.AS]Earballs: Neural Transmodal Translation Andrew Port, Chelhwon Kim, Mitesh Patel http://arxiv.org/abs/2005.13291v1 • [eess.AS]Semi-supervised source localization with deep generative modeling Michael J. Bianco, Sharon Gannot, Peter Gerstoft http://arxiv.org/abs/2005.13163v1 • [eess.IV]Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation Ashwin Raju, Chi-Tung Cheng, Yunakai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHuang Liao, Adam P Harrison http://arxiv.org/abs/2005.13201v1 • [eess.IV]End-to-end Optimized Video Compression with MV-Residual Prediction XiangJi Wu, Ziwen Zhang, Jie Feng, Lei Zhou, Junmin Wu http://arxiv.org/abs/2005.12945v1 • [eess.IV]Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction Ziyu Shu, Alireza Entezari http://arxiv.org/abs/2005.13471v1 • [eess.IV]How to do Physics-based Learning Michael Kellman, Michael Lustig, Laura Waller http://arxiv.org/abs/2005.13531v1 • [eess.IV]Prediction of Thrombectomy FunctionalOutcomes using Multimodal Data Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi http://arxiv.org/abs/2005.13061v1 • [eess.IV]Segmentation Loss Odyssey Jun Ma http://arxiv.org/abs/2005.13449v1 • [eess.SP]Arm order recognition in multi-armed bandit problem with laser chaos time series Naoki Narisawa, Nicolas Chauvet, Mikio Hasegawa, Makoto Naruse http://arxiv.org/abs/2005.13085v1 • [eess.SP]Effects of Forward Error Correction on Communications Aware Evasion Attacks Matthew DelVecchio, Bryse Flowers, William C. Headley http://arxiv.org/abs/2005.13123v1 • [eess.SP]Investigating a Spectral Deception Loss Metric for Training Machine Learning-based Evasion Attacks Matthew DelVecchio, Vanessa Arndorfer, William C. Headley http://arxiv.org/abs/2005.13124v1 • [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/2005.12742v2 • [eess.SP]Peak Forecasting for Battery-based Energy Optimizations in Campus Microgrids Akhil Soman, Amee Trivedi, David Irwin, Beka Kosanovic, Benjamin McDaniel, Prashant Shenoy http://arxiv.org/abs/2005.13517v1 • [math.AP]On the Convergence of Gradient Descent Training for Two-layer ReLU-networks in the Mean Field Regime Stephan Wojtowytsch http://arxiv.org/abs/2005.13530v1 • [math.CO]Stolarsky’s invariance principle for finite metric spaces Alexander Barg http://arxiv.org/abs/2005.12995v1 • [math.ST]Asymptotic Spectral Theory for Spatial Data Wai Leong Ng, Chun Yip Yau http://arxiv.org/abs/2005.13274v1 • [physics.app-ph]Microstructure and Water Absorption of Ancient Concrete from Pompeii: An Integrated Synchrotron Microtomography and Neutron Radiography Characterization Ke Xu, Anton S. Tremsin, Jiaqi Li, Daniela M. Ushizima, Catherine A. Davy, Amine Bouterf, Ying Tsun Su, Milena Marroccoli, Anna Maria Mauro, Massimo Osanna, Antonio Telesca, Paulo J. M. Monteiro http://arxiv.org/abs/2005.13114v1 • [physics.comp-ph]Data-Driven Continuum Dynamics via Transport-Teleport Duality Jong-Hoon Ahn http://arxiv.org/abs/2005.13358v1 • [physics.comp-ph]Graph Neural Network for Hamiltonian-Based Material Property Prediction Hexin Bai, Peng Chu, Jeng-Yuan Tsai, Nathan Wilson, Xiaofeng Qian, Qimin Yan, Haibin Ling http://arxiv.org/abs/2005.13352v1 • [physics.soc-ph]Gender and collaboration patterns in a temporal scientific authorship network Gecia Bravo-Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria, Yael Niv http://arxiv.org/abs/2005.13512v1 • [physics.soc-ph]Hyperbolic Mapping of Human Proximity Networks Marco A. Rodríguez-Flores, Fragkiskos Papadopoulos http://arxiv.org/abs/2005.13216v1 • [q-bio.PE]Estimating the Number of Infected Cases in COVID-19 Pandemic Donghui Yan, Ying Xu, Pei Wang http://arxiv.org/abs/2005.12993v1 • [q-bio.PE]Simulation of the COVID-19 pandemic on the social network of Slovenia: estimating the intrinsic forecast uncertainty Ziga Zaplotnik, Aleksandar Gavric, Luka Medic http://arxiv.org/abs/2005.13282v1 • [q-bio.PE]Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment 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/2005.12376v2 • [q-bio.QM]Targeted design of antiviral compounds against SARS-CoV-2 with conditional generative models Jannis Born, Matteo Manica, Joris Cadow, Greta Markert, Nil Adell Mill, Modestas Filipavicius, María Rodríguez Martínez http://arxiv.org/abs/2005.13285v1 • [stat.AP]Bayesian model selection in the $\mathcal{M}$-open setting — Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation Riko Kelter http://arxiv.org/abs/2005.13199v1 • [stat.AP]Bibliometric indices as a measure of competition in sports László Csató, Dóra Gréta Petróczy http://arxiv.org/abs/2005.13416v1 • [stat.AP]Modelling non-stationary extremes of storm severity: a tale of two approaches Evandro Konzen, Claudia Neves, Philip Jonathan http://arxiv.org/abs/2005.13490v1 • [stat.AP]Probabilistic multivariate electricity price forecasting using implicit generative ensemble post-processing Tim Janke, Florian Steinke http://arxiv.org/abs/2005.13417v1 • [stat.ME]A spatial template independent component analysis model for subject-level brain network estimation and inference Amanda F. Mejia, David Bolin, Yu Ryan Yue, Mary Beth Nebel, Jiongran Wang, Brian S. Caffo http://arxiv.org/abs/2005.13388v1 • [stat.ME]Analysis of time-to-event for observational studies: Guidance to the use of intensity models Per Kragh Andersen, Maja Pohar Perme, Hans C van Houwelingen, Richard J Cook, Pierre Joly, Torben Martinussen, Jeremy MG Taylor, Michal Abrahamowicz, Terry M Therneau http://arxiv.org/abs/2005.13271v1 • [stat.ME]How to choose between different Bayesian posterior indices for hypothesis testing in practice Riko Kelter http://arxiv.org/abs/2005.13181v1 • [stat.ME]Latent-state models for precision medicine Zekun Xu, Eric Laber, Ana-Maria Staicu http://arxiv.org/abs/2005.13001v1 • [stat.ME]Median bias reduction in cumulative link models Euloge Clovis Kenne Pagui http://arxiv.org/abs/2005.13244v1 • [stat.ME]Nonmyopic and pseudo-nonmyopic approaches to optimal sequential design in the presence of covariates Mia S. Tackney, David C. Woods, Ilya Shpitser http://arxiv.org/abs/2005.13261v1 • [stat.ME]On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder Jose M. Peña http://arxiv.org/abs/2005.13245v1 • [stat.ME]Portfolio optimization with mixture vector autoregressive models Davide Ravagli, Georgi N. Boshnakov http://arxiv.org/abs/2005.13396v1 • [stat.ME]Precision Aggregated Local Models Adam M. Edwards, Robert B. Gramacy http://arxiv.org/abs/2005.13375v1 • [stat.ME]Smoothed inference and graphics via LP modeling Sara Algeri, Xiangyu Zhang http://arxiv.org/abs/2005.13011v1 • [stat.ML]Class-Weighted Classification: Trade-offs and Robust Approaches Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar http://arxiv.org/abs/2005.12914v1 • [stat.ML]Convergence Analysis of Riemannian Stochastic Approximation Schemes Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai http://arxiv.org/abs/2005.13284v1 • [stat.ML]On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness Murat A. Erdogdu, Rasa Hosseinzadeh http://arxiv.org/abs/2005.13097v1 • [stat.ML]Selective Inference for Latent Block Models Chihiro Watanabe, Taiji Suzuki http://arxiv.org/abs/2005.13273v1 • [stat.ML]Sparse Identification of Nonlinear Dynamical Systems via Reweighted $\ell_1$-regularized Least Squares Alexandre Cortiella, Kwang-Chun Park, Alireza Doostan http://arxiv.org/abs/2005.13232v1 • [stat.ML]Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models Mitch Hill, Jonathan Mitchell, Song-Chun Zhu http://arxiv.org/abs/2005.13525v1 • [stat.ML]To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation Sakshi Arya, Yuhong Yang http://arxiv.org/abs/2005.13078v1 • [stat.ML]VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics Zichao Wang, Yi Gu, Andrew Lan, Richard Baraniuk http://arxiv.org/abs/2005.13107v1