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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-bio.TO - 组织和器官 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal
    • [cs.AI]A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
    • [cs.AI]AGI Agent Safety by Iteratively Improving the Utility Function
    • [cs.AI]Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation
    • [cs.AI]Current Advancements on Autonomous Mission Planning and Management Systems: an AUV and UAV perspective
    • [cs.AI]Half-checking propagators
    • [cs.AI]Impact of Legal Requirements on Explainability in Machine Learning
    • [cs.AI]Intelligent Warehouse Allocator for Optimal Regional Utilization
    • [cs.AI]MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System
    • [cs.AI]Multi-Agent Routing Value Iteration Network
    • [cs.AI]Program Synthesis with Pragmatic Communication
    • [cs.AI]Solving the Clustered Traveling Salesman Problem via TSP methods
    • [cs.CL]Advances of Transformer-Based Models for News Headline Generation
    • [cs.CL]Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling
    • [cs.CL]Learn to Use Future Information in Simultaneous Translation
    • [cs.CL]Pragmatic information in translation: a corpus-based study of tense and mood in English and German
    • [cs.CL]SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics
    • [cs.CL]Topic Modeling on User Stories using Word Mover’s Distance
    • [cs.CL]What Can We Learn From Almost a Decade of Food Tweets
    • [cs.CR]”It’s Not Something We Have Talked to Our Team About”: Results From a Preliminary Investigation of Cybersecurity Challenges in Denmark
    • [cs.CR]From Task Tuning to Task Assignment in Privacy-Preserving Crowdsourcing Platforms
    • [cs.CR]Quantum Secured Internet Transport
    • [cs.CR]Security in Wireless Sensor Networks: Issues and Challenges
    • [cs.CR]Towards Tracking Data Flows in Cloud Architectures
    • [cs.CV]$n$-Reference Transfer Learning for Saliency Prediction
    • [cs.CV]A Benchmark for Inpainting of Clothing Images with Irregular Holes
    • [cs.CV]AI Assisted Apparel Design
    • [cs.CV]AViD Dataset: Anonymized Videos from Diverse Countries
    • [cs.CV]Affine Non-negative Collaborative Representation Based Pattern Classification
    • [cs.CV]Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels
    • [cs.CV]Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data: A Machine Learning Approach
    • [cs.CV]Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping
    • [cs.CV]Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation
    • [cs.CV]Continual Adaptation for Deep Stereo
    • [cs.CV]DCANet: Learning Connected Attentions for Convolutional Neural Networks
    • [cs.CV]Data-Efficient Ranking Distillation for Image Retrieval
    • [cs.CV]Distillation Guided Residual Learning for Binary Convolutional Neural Networks
    • [cs.CV]FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection
    • [cs.CV]Geometric Style Transfer
    • [cs.CV]Impression Space from Deep Template Network
    • [cs.CV]Learnable Hollow Kernels for Anatomical Segmentation
    • [cs.CV]Learning Representations that Support Extrapolation
    • [cs.CV]Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection
    • [cs.CV]Multimodal price prediction
    • [cs.CV]Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
    • [cs.CV]Progressive Point Cloud Deconvolution Generation Network
    • [cs.CV]STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
    • [cs.CV]Scientific Discovery by Generating Counterfactuals using Image Translation
    • [cs.CV]SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
    • [cs.CV]Using Machine Learning to Detect Ghost Images in Automotive Radar
    • [cs.CV]VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users
    • [cs.CV]Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
    • [cs.CY]Algorithmic Fairness in Education
    • [cs.CY]Machine Learning Explainability for External Stakeholders
    • [cs.CY]On the Social and Technical Challenges of Web Search Autosuggestion Moderation
    • [cs.CY]Reusable Learning Objects: An Agile Approach
    • [cs.CY]Senior Living Communities: Made Safer by AI
    • [cs.DC]On Distributed Listing of Cliques
    • [cs.DC]Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU
    • [cs.DC]Self-healing Dilemmas in Distributed Systems: Fault-correction vs. Fault-tolerance
    • [cs.GT]Multi-objective Clustering Algorithm with Parallel Games
    • [cs.HC]How An Automated Gesture Imitation Game Can Improve Social Interactions With Teenagers With ASD
    • [cs.IR]BISON:BM25-weighted Self-Attention Framework for Multi-Fields Document Search
    • [cs.IT]A tight uniform continuity bound for the Arimoto-Rényi conditional entropy and its extension to classical-quantum states
    • [cs.IT]Accurate Closed-Form Approximations to Channel Distributions of RIS-Aided Wireless Systems
    • [cs.IT]Age-Limited Capacity of Massive MIMO
    • [cs.IT]An Upper Bound on the Error Induced by Saddlepoint Approximations — Applications to Information Theory
    • [cs.IT]Battery Recharging Time Models for Reconfigurable Intelligent Surface-Assisted Wireless Power Transfer Systems
    • [cs.IT]Convolutional Polar Coded Modulation
    • [cs.IT]Design and Practical Decoding of Full-Diversity Construction A Lattices for Block-Fading Channels
    • [cs.IT]Design of Puncturing for Length-Compatible Polar Codes Using Differential Evolution
    • [cs.IT]List Viterbi Decoding of PAC Codes
    • [cs.IT]Mechanisms for Hiding Sensitive Genotypes with Information-Theoretic Privacy
    • [cs.IT]Power Minimization for Age of Information Constrained Dynamic Control in Wireless Sensor Networks
    • [cs.IT]Third-Order Asymptotics of Variable-Length Compression Allowing Errors
    • [cs.LG]A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
    • [cs.LG]AdaScale SGD: A User-Friendly Algorithm for Distributed Training
    • [cs.LG]Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
    • [cs.LG]Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
    • [cs.LG]Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
    • [cs.LG]Boundary thickness and robustness in learning models
    • [cs.LG]Characteristics of Monte Carlo Dropout in Wide Neural Networks
    • [cs.LG]Detecting Malicious Accounts in Permissionless Blockchains using Temporal Graph Properties
    • [cs.LG]Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images
    • [cs.LG]Differentially Private Simple Linear Regression
    • [cs.LG]EVO-RL: Evolutionary-Driven Reinforcement Learning
    • [cs.LG]ExpertNet: Adversarial Learning and Recovery Against Noisy Labels
    • [cs.LG]Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games
    • [cs.LG]Generating Adversarial Inputs Using A Black-box Differential Technique
    • [cs.LG]Improved Analysis of UCRL2 with Empirical Bernstein Inequality
    • [cs.LG]Improving Adversarial Robustness by Enforcing Local and Global Compactness
    • [cs.LG]Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing
    • [cs.LG]Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference
    • [cs.LG]Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss
    • [cs.LG]Learning to Play Sequential Games versus Unknown Opponents
    • [cs.LG]Learning to plan with uncertain topological maps
    • [cs.LG]Multi-future Merchant Transaction Prediction
    • [cs.LG]New Oracle-Efficient Algorithms for Private Synthetic Data Release
    • [cs.LG]Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing
    • [cs.LG]Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning
    • [cs.LG]Predicting Illegal Fishing on the Patagonia Shelf from Oceanographic Seascapes
    • [cs.LG]Price Optimization in Fashion E-commerce
    • [cs.LG]Product age based demand forecast model for fashion retail
    • [cs.LG]Reactive Soft Prototype Computing for Concept Drift Streams
    • [cs.LG]Representations for Stable Off-Policy Reinforcement Learning
    • [cs.LG]Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks
    • [cs.LG]Robust Classification under Class-Dependent Domain Shift
    • [cs.LG]SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
    • [cs.LG]Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization
    • [cs.LG]Self-Reflective Variational Autoencoder
    • [cs.LG]Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products
    • [cs.LG]TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification
    • [cs.LG]The Trade-Offs of Private Prediction
    • [cs.NE]Artificial Neural Network Approach for the Identification of Clove Buds Origin Based on Metabolites Composition
    • [cs.NE]Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters
    • [cs.NI]Prediction of Traffic Flow via Connected Vehicles
    • [cs.SD]Conditioned Time-Dilated Convolutions for Sound Event Detection
    • [cs.SE]Neural Knowledge Extraction From Cloud Service Incidents
    • [cs.SI]Emergence of Hierarchy in Networked Endorsement Dynamics
    • [cs.SI]Preventing active re-identification attacks on social graphs via sybil subgraph obfuscation
    • [eess.AS]ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
    • [eess.IV]A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
    • [eess.IV]Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks
    • [eess.IV]Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
    • [eess.IV]Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
    • [eess.IV]Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision
    • [eess.IV]Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma
    • [eess.IV]Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging
    • [eess.IV]Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques
    • [eess.IV]OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN
    • [eess.IV]ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
    • [eess.IV]Rain Streak Removal in a Video to Improve Visibility by TAWL Algorithm
    • [eess.IV]Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
    • [eess.IV]SIMBA: Specific Identity Markers for Bone Age Assessment
    • [eess.SP]Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems
    • [eess.SP]Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers
    • [eess.SY]Approximate Time-Optimal Trajectories for Damped Double Integrator in 2D Obstacle Environments under Bounded Inputs
    • [math.NA]Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions
    • [math.OC]A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
    • [math.PR]High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin
    • [math.ST]A concise modification of Marshall-Olkin family of distributions for reliability analysis
    • [math.ST]Principal Loading Analysis
    • [physics.chem-ph]Machine learning for electronically excited states of molecules
    • [physics.comp-ph]Deep Surrogate Models for Multi-dimensional Regression of Reactor Power
    • [physics.soc-ph]A message-passing approach to epidemic tracing and mitigation with apps
    • [physics.soc-ph]Fixed-time descriptive statistics underestimate extremes of epidemic curve ensembles
    • [physics.soc-ph]Games of Social Distancing during an Epidemic: Local vs Statistical Information
    • [physics.soc-ph]Percolation framework reveals limits of privacy in Conspiracy, Dark Web, and Blockchain networks
    • [q-bio.NC]Biological credit assignment through dynamic inversion of feedforward networks
    • [q-bio.PE]Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ$α$ Model
    • [q-bio.TO]Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves
    • [stat.AP]A Causal Inference Approach to Measure the Vulnerability of Urban Metro Systems
    • [stat.AP]ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes
    • [stat.AP]Evaluating Fairness Using Permutation Tests
    • [stat.AP]Space-Time Smoothing of Demographic and Health Indicators using the R Package SUMMER
    • [stat.AP]To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
    • [stat.ME]Analyzing the Effects of Observation Function Selection in Ensemble Kalman Filtering for Epidemic Models
    • [stat.ME]Community Network Auto-Regression for High-Dimensional Time Series
    • [stat.ME]High heritability does not imply accurate prediction under the small additive effects hypothesis
    • [stat.ME]Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
    • [stat.ML]Generalized Maximum Entropy for Supervised Classification
    • [stat.ML]Next Waves in Veridical Network Embedding
    • [stat.ML]Robust Geodesic Regression
    • [stat.ML]Variational Inference with Continuously-Indexed Normalizing Flows

    ·····································

    • [cs.AI]A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal
    Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
    http://arxiv.org/abs/2007.05516v1

    • [cs.AI]A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
    Xuan Di, Rongye Shi
    http://arxiv.org/abs/2007.05156v1

    • [cs.AI]AGI Agent Safety by Iteratively Improving the Utility Function
    Koen Holtman
    http://arxiv.org/abs/2007.05411v1

    • [cs.AI]Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation
    Guilherme Paulino-Passos, Francesca Toni
    http://arxiv.org/abs/2007.05284v1

    • [cs.AI]Current Advancements on Autonomous Mission Planning and Management Systems: an AUV and UAV perspective
    Adham Atyabi, Somaiyeh MahmoudZadeh, Samia Nefti-Meziani
    http://arxiv.org/abs/2007.05179v1

    • [cs.AI]Half-checking propagators
    Mikael Zayenz Lagerkvist, Magnus Rattfeldt
    http://arxiv.org/abs/2007.05423v1

    • [cs.AI]Impact of Legal Requirements on Explainability in Machine Learning
    Adrien Bibal, Michael Lognoul, Alexandre de Streel, Benoît Frénay
    http://arxiv.org/abs/2007.05479v1

    • [cs.AI]Intelligent Warehouse Allocator for Optimal Regional Utilization
    Girish Sathyanarayana, Arun Patro
    http://arxiv.org/abs/2007.05081v1

    • [cs.AI]MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System
    Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang
    http://arxiv.org/abs/2007.05402v1

    • [cs.AI]Multi-Agent Routing Value Iteration Network
    Quinlan Sykora, Mengye Ren, Raquel Urtasun
    http://arxiv.org/abs/2007.05096v1

    • [cs.AI]Program Synthesis with Pragmatic Communication
    Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama
    http://arxiv.org/abs/2007.05060v1

    • [cs.AI]Solving the Clustered Traveling Salesman Problem via TSP methods
    Yongliang Lu, Jin-Kao Hao, Qinghua Wu
    http://arxiv.org/abs/2007.05254v1

    • [cs.CL]Advances of Transformer-Based Models for News Headline Generation
    Alexey Bukhtiyarov, Ilya Gusev
    http://arxiv.org/abs/2007.05044v1

    • [cs.CL]Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling
    Leonard K. M. Poon, Nevin L. Zhang, Haoran Xie, Gary Cheng
    http://arxiv.org/abs/2007.05163v1

    • [cs.CL]Learn to Use Future Information in Simultaneous Translation
    Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu
    http://arxiv.org/abs/2007.05290v1

    • [cs.CL]Pragmatic information in translation: a corpus-based study of tense and mood in English and German
    Anita Ramm, Ekaterina Lapshinova-Koltunski, Alexander Fraser
    http://arxiv.org/abs/2007.05234v1

    • [cs.CL]SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics
    Daniel Deutsch, Dan Roth
    http://arxiv.org/abs/2007.05374v1

    • [cs.CL]Topic Modeling on User Stories using Word Mover’s Distance
    Kim Julian Gülle, Nicholas Ford, Patrick Ebel, Florian Brokhausen, Andreas Vogelsang
    http://arxiv.org/abs/2007.05302v1

    • [cs.CL]What Can We Learn From Almost a Decade of Food Tweets
    Uga Sproģis, Matīss Rikters
    http://arxiv.org/abs/2007.05194v1

    • [cs.CR]“It’s Not Something We Have Talked to Our Team About”: Results From a Preliminary Investigation of Cybersecurity Challenges in Denmark
    Camilla Nadja Fleron, Jonas Kofod Jørgensen, Oksana Kulyk, Elda Paja
    http://arxiv.org/abs/2007.05259v1

    • [cs.CR]From Task Tuning to Task Assignment in Privacy-Preserving Crowdsourcing Platforms
    Joris Duguépéroux, Tristan Allard
    http://arxiv.org/abs/2007.05373v1

    • [cs.CR]Quantum Secured Internet Transport
    Bernardo Huberman, Bob Lund, Jing Wang
    http://arxiv.org/abs/2007.05522v1

    • [cs.CR]Security in Wireless Sensor Networks: Issues and Challenges
    Mahsa Teymourzadeh, Roshanak Vahed, Soulmaz Alibeygi, Narges Dastanpour
    http://arxiv.org/abs/2007.05111v1

    • [cs.CR]Towards Tracking Data Flows in Cloud Architectures
    Immanuel Kunz, Valentina Casola, Angelika Schneider, Christian Banse, Julian Schütte
    http://arxiv.org/abs/2007.05212v1

    • [cs.CV]$n$-Reference Transfer Learning for Saliency Prediction
    Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
    http://arxiv.org/abs/2007.05104v1

    • [cs.CV]A Benchmark for Inpainting of Clothing Images with Irregular Holes
    Furkan Kınlı, Barış Özcan, Furkan Kıraç
    http://arxiv.org/abs/2007.05080v1

    • [cs.CV]AI Assisted Apparel Design
    Alpana Dubey, Nitish Bhardwaj, Kumar Abhinav, Suma Mani Kuriakose, Sakshi Jain, Veenu Arora
    http://arxiv.org/abs/2007.04950v2

    • [cs.CV]AViD Dataset: Anonymized Videos from Diverse Countries
    AJ Piergiovanni, Michael S. Ryoo
    http://arxiv.org/abs/2007.05515v1

    • [cs.CV]Affine Non-negative Collaborative Representation Based Pattern Classification
    He-Feng Yin, Xiao-Jun Wu, Zhen-Hua Feng, Josef Kittler
    http://arxiv.org/abs/2007.05175v1

    • [cs.CV]Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels
    Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas Maier, Robert Klopfleisch, Marc Aubreville
    http://arxiv.org/abs/2007.05351v1

    • [cs.CV]Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data: A Machine Learning Approach
    Sanaz Aliari, Kaveh F. Sadabadi
    http://arxiv.org/abs/2007.05079v1

    • [cs.CV]Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping
    Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/2007.05490v1

    • [cs.CV]Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation
    Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang
    http://arxiv.org/abs/2007.05393v1

    • [cs.CV]Continual Adaptation for Deep Stereo
    Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
    http://arxiv.org/abs/2007.05233v1

    • [cs.CV]DCANet: Learning Connected Attentions for Convolutional Neural Networks
    Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu
    http://arxiv.org/abs/2007.05099v1

    • [cs.CV]Data-Efficient Ranking Distillation for Image Retrieval
    Zakaria Laskar, Juho Kannala
    http://arxiv.org/abs/2007.05299v1

    • [cs.CV]Distillation Guided Residual Learning for Binary Convolutional Neural Networks
    Jianming Ye, Shiliang Zhang, Jingdong Wang
    http://arxiv.org/abs/2007.05223v1

    • [cs.CV]FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection
    Xugong Qin, Yu Zhou, Dayan Wu, Yinliang Yue, Weiping Wang
    http://arxiv.org/abs/2007.05113v1

    • [cs.CV]Geometric Style Transfer
    Xiao-Chang Liu, Xuan-Yi Li, Ming-Ming Cheng, Peter Hall
    http://arxiv.org/abs/2007.05471v1

    • [cs.CV]Impression Space from Deep Template Network
    Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song
    http://arxiv.org/abs/2007.05441v1

    • [cs.CV]Learnable Hollow Kernels for Anatomical Segmentation
    Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov
    http://arxiv.org/abs/2007.05103v1

    • [cs.CV]Learning Representations that Support Extrapolation
    Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O’Reilly, Jonathan D. Cohen
    http://arxiv.org/abs/2007.05059v1

    • [cs.CV]Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection
    Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou
    http://arxiv.org/abs/2007.05225v1

    • [cs.CV]Multimodal price prediction
    Aidin Zehtab-Salmasi, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Saeideh Nabipour
    http://arxiv.org/abs/2007.05056v1

    • [cs.CV]Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
    Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu
    http://arxiv.org/abs/2007.05146v1

    • [cs.CV]Progressive Point Cloud Deconvolution Generation Network
    Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang
    http://arxiv.org/abs/2007.05361v1

    • [cs.CV]STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
    Pierre Godet, Alexandre Boulch, Aurélien Plyer, Guy Le Besnerais
    http://arxiv.org/abs/2007.05481v1

    • [cs.CV]Scientific Discovery by Generating Counterfactuals using Image Translation
    Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Michael Brenner, Philip Nelson, Avinash V. Varadarajan
    http://arxiv.org/abs/2007.05500v1

    • [cs.CV]SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
    John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak
    http://arxiv.org/abs/2007.05168v1

    • [cs.CV]Using Machine Learning to Detect Ghost Images in Automotive Radar
    Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
    http://arxiv.org/abs/2007.05280v1

    • [cs.CV]VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users
    Adithya Ranga, Filippo Giruzzi, Jagdish Bhanushali, Emilie Wirbel, Patrick Pérez, Tuan-Hung Vu, Xavier Perrotton
    http://arxiv.org/abs/2007.05397v1

    • [cs.CV]Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
    Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas
    http://arxiv.org/abs/2007.05448v1

    • [cs.CY]Algorithmic Fairness in Education
    René F. Kizilcec, Hansol Lee
    http://arxiv.org/abs/2007.05443v1

    • [cs.CY]Machine Learning Explainability for External Stakeholders
    Umang Bhatt, McKane Andrus, Adrian Weller, Alice Xiang
    http://arxiv.org/abs/2007.05408v1

    • [cs.CY]On the Social and Technical Challenges of Web Search Autosuggestion Moderation
    Timothy J. Hazen, Alexandra Olteanu, Gabriella Kazai, Fernando Diaz, Michael Golebiewski
    http://arxiv.org/abs/2007.05039v1

    • [cs.CY]Reusable Learning Objects: An Agile Approach
    R. Pito Salas
    http://arxiv.org/abs/2007.05075v1

    • [cs.CY]Senior Living Communities: Made Safer by AI
    Ashutosh Saxena, David Cheriton
    http://arxiv.org/abs/2007.05129v1

    • [cs.DC]On Distributed Listing of Cliques
    Keren Censor-Hillel, François Le Gall, Dean Leitersdorf
    http://arxiv.org/abs/2007.05316v1

    • [cs.DC]Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU
    Filippo Mantovani, Marta Garcia-Gasulla, José Gracia, Esteban Stafford, Fabio Banchelli, Marc Josep-Fabrego, Joel Criado-Ledesma, Mathias Nachtmann
    http://arxiv.org/abs/2007.04868v2

    • [cs.DC]Self-healing Dilemmas in Distributed Systems: Fault-correction vs. Fault-tolerance
    Jovan Nikolic, Nursultan Jubatyrov, Evangelos Pournaras
    http://arxiv.org/abs/2007.05261v1

    • [cs.GT]Multi-objective Clustering Algorithm with Parallel Games
    Dalila Kessira, Mohand-Tahar Kechadi
    http://arxiv.org/abs/2007.05119v1

    • [cs.HC]How An Automated Gesture Imitation Game Can Improve Social Interactions With Teenagers With ASD
    Linda Nanan Vallée, Sao Mai Nguyen, Christophe Lohr, Ioannis Kanellos, Olivier Asseu
    http://arxiv.org/abs/2007.05394v1

    • [cs.IR]BISON:BM25-weighted Self-Attention Framework for Multi-Fields Document Search
    Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Angen Luo, Yuxiang Luo
    http://arxiv.org/abs/2007.05186v1

    • [cs.IT]A tight uniform continuity bound for the Arimoto-Rényi conditional entropy and its extension to classical-quantum states
    Michael G. Jabbour, Nilanjana Datta
    http://arxiv.org/abs/2007.05049v1

    • [cs.IT]Accurate Closed-Form Approximations to Channel Distributions of RIS-Aided Wireless Systems
    Liang Yang, Fanxu Meng, Qingqing Wu, Daniel Benevides da Costa, Mohamed-Slim Alouini
    http://arxiv.org/abs/2007.05221v1

    • [cs.IT]Age-Limited Capacity of Massive MIMO
    Bamelak Tadele, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani
    http://arxiv.org/abs/2007.05071v1

    • [cs.IT]An Upper Bound on the Error Induced by Saddlepoint Approximations — Applications to Information Theory
    Dadja Anade, Jean-Marie Gorce, Philippe Mary, Samir Perlaza
    http://arxiv.org/abs/2007.05319v1

    • [cs.IT]Battery Recharging Time Models for Reconfigurable Intelligent Surface-Assisted Wireless Power Transfer Systems
    Lina Mohjazi, Sami Muhaidat, Qammer H. Abbasi, Muhammad Ali Imran, Octavia A. Dobre, Marco Di Renzo
    http://arxiv.org/abs/2007.05227v1

    • [cs.IT]Convolutional Polar Coded Modulation
    Kangjian Qin, Zhaoyang Zhang
    http://arxiv.org/abs/2007.05272v1

    • [cs.IT]Design and Practical Decoding of Full-Diversity Construction A Lattices for Block-Fading Channels
    Hassan Khodaiemehr, Daniel Panario, Mohammad-Reza Sadeghi
    http://arxiv.org/abs/2007.05370v1

    • [cs.IT]Design of Puncturing for Length-Compatible Polar Codes Using Differential Evolution
    Kuntal Deka, Sanjeev Sharma
    http://arxiv.org/abs/2007.05012v1

    • [cs.IT]List Viterbi Decoding of PAC Codes
    Mohammad Rowshan, Emanuele Viterbo
    http://arxiv.org/abs/2007.05353v1

    • [cs.IT]Mechanisms for Hiding Sensitive Genotypes with Information-Theoretic Privacy
    Fangwei Ye, Hyunghoon Cho, Salim El Rouayheb
    http://arxiv.org/abs/2007.05139v1

    • [cs.IT]Power Minimization for Age of Information Constrained Dynamic Control in Wireless Sensor Networks
    Mohammad Moltafet, Markus Leinonen, Marian Codreanu, Nikolaos Pappas
    http://arxiv.org/abs/2007.05364v1

    • [cs.IT]Third-Order Asymptotics of Variable-Length Compression Allowing Errors
    Yuta Sakai, Vincent Y. F. Tan
    http://arxiv.org/abs/2007.05147v1

    • [cs.LG]A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
    Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
    http://arxiv.org/abs/2007.05078v1

    • [cs.LG]AdaScale SGD: A User-Friendly Algorithm for Distributed Training
    Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
    http://arxiv.org/abs/2007.05105v1

    • [cs.LG]Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
    Adarsh K. Jeewajee, Leslie P. Kaelbling
    http://arxiv.org/abs/2007.05033v1

    • [cs.LG]Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
    Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos
    http://arxiv.org/abs/2007.05084v1

    • [cs.LG]Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
    Shafi Goldwasser, Adam Tauman Kalai, Yael Tauman Kalai, Omar Montasser
    http://arxiv.org/abs/2007.05145v1

    • [cs.LG]Boundary thickness and robustness in learning models
    Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
    http://arxiv.org/abs/2007.05086v1

    • [cs.LG]Characteristics of Monte Carlo Dropout in Wide Neural Networks
    Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer
    http://arxiv.org/abs/2007.05434v1

    • [cs.LG]Detecting Malicious Accounts in Permissionless Blockchains using Temporal Graph Properties
    Rachit Agarwal, Shikhar Barve, Sandeep Kuman Shukla
    http://arxiv.org/abs/2007.05169v1

    • [cs.LG]Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images
    Joshua Bridge, Simon P. Harding, Yalin Zheng
    http://arxiv.org/abs/2007.05120v1

    • [cs.LG]Differentially Private Simple Linear Regression
    Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam Smith, Salil Vadhan
    http://arxiv.org/abs/2007.05157v1

    • [cs.LG]EVO-RL: Evolutionary-Driven Reinforcement Learning
    Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid
    http://arxiv.org/abs/2007.04725v2

    • [cs.LG]ExpertNet: Adversarial Learning and Recovery Against Noisy Labels
    Amirmasoud Ghiassi, Robert Birk, Rui Han, Lydia Y. Chen
    http://arxiv.org/abs/2007.05305v1

    • [cs.LG]Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games
    Amit Kadan, Hu Fu
    http://arxiv.org/abs/2007.05477v1

    • [cs.LG]Generating Adversarial Inputs Using A Black-box Differential Technique
    João Batista Pereira Matos Juúnior, Lucas Carvalho Cordeiro, Marcelo d’Amorim, Xiaowei Huang
    http://arxiv.org/abs/2007.05315v1

    • [cs.LG]Improved Analysis of UCRL2 with Empirical Bernstein Inequality
    Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
    http://arxiv.org/abs/2007.05456v1

    • [cs.LG]Improving Adversarial Robustness by Enforcing Local and Global Compactness
    Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung
    http://arxiv.org/abs/2007.05123v1

    • [cs.LG]Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing
    Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp
    http://arxiv.org/abs/2007.05292v1

    • [cs.LG]Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference
    Hang Miao, Kui Zhao, Zhun Wang, Linbo Jiang, Quanhui Jia, Yanming Fang, Quan Yu
    http://arxiv.org/abs/2007.05188v1

    • [cs.LG]Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss
    Kamil Nar, Yuan Xue, Andrew M. Dai
    http://arxiv.org/abs/2007.05189v1

    • [cs.LG]Learning to Play Sequential Games versus Unknown Opponents
    Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
    http://arxiv.org/abs/2007.05271v1

    • [cs.LG]Learning to plan with uncertain topological maps
    Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf
    http://arxiv.org/abs/2007.05270v1

    • [cs.LG]Multi-future Merchant Transaction Prediction
    Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang
    http://arxiv.org/abs/2007.05303v1

    • [cs.LG]New Oracle-Efficient Algorithms for Private Synthetic Data Release
    Giuseppe Vietri, Grace Tian, Mark Bun, Thomas Steinke, Zhiwei Steven Wu
    http://arxiv.org/abs/2007.05453v1

    • [cs.LG]Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing
    Begum Taskazan, Jiri Navratil, Matthew Arnold, Anupama Murthi, Ganesh Venkataraman, Benjamin Elder
    http://arxiv.org/abs/2007.05499v1

    • [cs.LG]Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning
    Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
    http://arxiv.org/abs/2007.05196v1

    • [cs.LG]Predicting Illegal Fishing on the Patagonia Shelf from Oceanographic Seascapes
    A. John Woodill, Maria Kavanaugh, Michael Harte, James R. Watson
    http://arxiv.org/abs/2007.05470v1

    • [cs.LG]Price Optimization in Fashion E-commerce
    Sajan Kedia, Samyak Jain, Abhishek Sharma
    http://arxiv.org/abs/2007.05216v1

    • [cs.LG]Product age based demand forecast model for fashion retail
    Rajesh Kumar Vashishtha, Vibhati Burman, Rajan Kumar, Srividhya Sethuraman, Abhinaya R Sekar, Sharadha Ramanan
    http://arxiv.org/abs/2007.05278v1

    • [cs.LG]Reactive Soft Prototype Computing for Concept Drift Streams
    Christoph Raab, Moritz Heusinger, Frank-Michael Schleif
    http://arxiv.org/abs/2007.05432v1

    • [cs.LG]Representations for Stable Off-Policy Reinforcement Learning
    Dibya Ghosh, Marc G. Bellemare
    http://arxiv.org/abs/2007.05520v1

    • [cs.LG]Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks
    Shreyas Padhy, Zachary Nado, Jie Ren, Jeremiah Liu, Jasper Snoek, Balaji Lakshminarayanan
    http://arxiv.org/abs/2007.05134v1

    • [cs.LG]Robust Classification under Class-Dependent Domain Shift
    Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
    http://arxiv.org/abs/2007.05335v1

    • [cs.LG]SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
    Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding
    http://arxiv.org/abs/2007.05100v1

    • [cs.LG]Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization
    Yunho Jeon, Yongseok Choi, Jaesun Park, Subin Yi, Dongyeon Cho, Jiwon Kim
    http://arxiv.org/abs/2007.05181v1

    • [cs.LG]Self-Reflective Variational Autoencoder
    Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski
    http://arxiv.org/abs/2007.05166v1

    • [cs.LG]Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products
    Kai Bergermann, Martin Stoll, Toni Volkmer
    http://arxiv.org/abs/2007.05239v1

    • [cs.LG]TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification
    Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner
    http://arxiv.org/abs/2007.05307v1

    • [cs.LG]The Trade-Offs of Private Prediction
    Laurens van der Maaten, Awni Hannun
    http://arxiv.org/abs/2007.05089v1

    • [cs.NE]Artificial Neural Network Approach for the Identification of Clove Buds Origin Based on Metabolites Composition
    Rustam, Agus Yodi Gunawan, Made Tri Ari Penia Kresnowati
    http://arxiv.org/abs/2007.05125v1

    • [cs.NE]Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters
    Antoine Cully
    http://arxiv.org/abs/2007.05352v1

    • [cs.NI]Prediction of Traffic Flow via Connected Vehicles
    Ranwa Al Mallah, Bilal Farooq, Alejandro Quintero
    http://arxiv.org/abs/2007.05460v1

    • [cs.SD]Conditioned Time-Dilated Convolutions for Sound Event Detection
    Konstantinos Drossos, Stylianos I. Mimilakis, Tuomas Virtanen
    http://arxiv.org/abs/2007.05183v1

    • [cs.SE]Neural Knowledge Extraction From Cloud Service Incidents
    Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann
    http://arxiv.org/abs/2007.05505v1

    • [cs.SI]Emergence of Hierarchy in Networked Endorsement Dynamics
    Mari Kawakatsu, Philip S. Chodrow, Nicole Eikmeier, Daniel B. Larremore
    http://arxiv.org/abs/2007.04448v2

    • [cs.SI]Preventing active re-identification attacks on social graphs via sybil subgraph obfuscation
    Sjouke Mauw, Yunior Ramírez-Cruz, Rolando Trujillo-Rasua
    http://arxiv.org/abs/2007.05312v1

    • [eess.AS]ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
    Sławomir Kapka
    http://arxiv.org/abs/2007.05314v1

    • [eess.IV]A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
    Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern Menze
    http://arxiv.org/abs/2007.05324v1

    • [eess.IV]Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks
    Zhongqiang Liu
    http://arxiv.org/abs/2007.05224v1

    • [eess.IV]Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
    Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu
    http://arxiv.org/abs/2007.05230v1

    • [eess.IV]Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
    Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Elbrich M. Postma, Paul A. M. Smeets, Richard A. P. Takx, Tim Leiner, Max A. Viergever, Ivana Išgum
    http://arxiv.org/abs/2007.05295v1

    • [eess.IV]Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision
    Chen Liu, Jiaqi Fan, Guosheng Yin
    http://arxiv.org/abs/2007.05220v1

    • [eess.IV]Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma
    Prasitthichai Naronglerdrit, Iosif Mporas
    http://arxiv.org/abs/2007.05446v1

    • [eess.IV]Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging
    Duong-Hung Pham, Adrian Basarab, Ilyess Zemmoura, Jean-Pierre Remenieras, Denis Kouame
    http://arxiv.org/abs/2007.05428v1

    • [eess.IV]Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques
    Yijun Zhao, Jacek Ossowski, Xuming Wang, Shangjin Li, Orrin Devinsky, Samantha P. Martin, Heath R. Pardoe
    http://arxiv.org/abs/2007.05149v1

    • [eess.IV]OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN
    Jaeyoung Huh, Shujaat Khan, Jong Chul Ye
    http://arxiv.org/abs/2007.05205v1

    • [eess.IV]ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
    Yuhui Ma, Huaying Hao, Huazhu Fu, Jiong Zhang, Jianlong Yang, Jiang Liu, Yalin Zheng, Yitian Zhao
    http://arxiv.org/abs/2007.05201v1

    • [eess.IV]Rain Streak Removal in a Video to Improve Visibility by TAWL Algorithm
    Muhammad Rafiqul Islam, Manoranjan Paul
    http://arxiv.org/abs/2007.05167v1

    • [eess.IV]Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
    Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy
    http://arxiv.org/abs/2007.05405v1

    • [eess.IV]SIMBA: Specific Identity Markers for Bone Age Assessment
    Cristina González, María Escobar, Laura Daza, Felipe Torres, Gustavo Triana, Pablo Arbeláez
    http://arxiv.org/abs/2007.05454v1

    • [eess.SP]Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems
    Pengxia Wu, Julian Cheng
    http://arxiv.org/abs/2007.05177v1

    • [eess.SP]Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers
    Tom Lovett, Mark Briers, Marcos Charalambides, Radka Jersakova, James Lomax, Chris Holmes
    http://arxiv.org/abs/2007.05057v1

    • [eess.SY]Approximate Time-Optimal Trajectories for Damped Double Integrator in 2D Obstacle Environments under Bounded Inputs
    Vishnu S. Chipade
    http://arxiv.org/abs/2007.05155v1

    • [math.NA]Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions
    Philipp Grohs, Lukas Herrmann
    http://arxiv.org/abs/2007.05384v1

    • [math.OC]A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
    Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
    http://arxiv.org/abs/2007.05170v1

    • [math.PR]High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin
    Pierre Monmarché
    http://arxiv.org/abs/2007.05455v1

    • [math.ST]A concise modification of Marshall-Olkin family of distributions for reliability analysis
    Mueen-ud-Din Azad, Muhammad Mohsin
    http://arxiv.org/abs/2007.05176v1

    • [math.ST]Principal Loading Analysis
    Jan O. Bauer, Bernhard Drabant
    http://arxiv.org/abs/2007.05215v1

    • [physics.chem-ph]Machine learning for electronically excited states of molecules
    Julia Westermayr, Philipp Marquetand
    http://arxiv.org/abs/2007.05320v1

    • [physics.comp-ph]Deep Surrogate Models for Multi-dimensional Regression of Reactor Power
    Akshay J. Dave, Jarod Wilson, Kaichao Sun
    http://arxiv.org/abs/2007.05435v1

    • [physics.soc-ph]A message-passing approach to epidemic tracing and mitigation with apps
    Ginestra Bianconi, Hanlin Sun, Giacomo Rapisardi, Alex Arenas
    http://arxiv.org/abs/2007.05277v1

    • [physics.soc-ph]Fixed-time descriptive statistics underestimate extremes of epidemic curve ensembles
    Jonas L. Juul, Kaare Græsbøll, Lasse Engbo Christiansen, Sune Lehmann
    http://arxiv.org/abs/2007.05035v1

    • [physics.soc-ph]Games of Social Distancing during an Epidemic: Local vs Statistical Information
    A. -R. Lagos, I. Kordonis, G. P. Papavassilopoulos
    http://arxiv.org/abs/2007.05185v1

    • [physics.soc-ph]Percolation framework reveals limits of privacy in Conspiracy, Dark Web, and Blockchain networks
    Louis M Shekhtman, Alon Sela, Shlomo Havlin
    http://arxiv.org/abs/2007.05466v1

    • [q-bio.NC]Biological credit assignment through dynamic inversion of feedforward networks
    William F. Podlaski, Christian K. Machens
    http://arxiv.org/abs/2007.05112v1

    • [q-bio.PE]Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ$α$ Model
    Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna
    http://arxiv.org/abs/2007.05180v1

    • [q-bio.TO]Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves
    Manoranjan Paul, Sourabhi Debnath, Tanmoy Debnath, Suzy Rogiers, Tintu Baby, DM Motiur Rahaman, Lihong Zheng, Leigh Schmidtke
    http://arxiv.org/abs/2007.05197v1

    • [stat.AP]A Causal Inference Approach to Measure the Vulnerability of Urban Metro Systems
    Nan Zhang, Daniel J. Graham, Daniel Hörcher, Prateek Bansal
    http://arxiv.org/abs/2007.05276v1

    • [stat.AP]ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes
    Prashant Shekhar, Beata Csatho, Tony Schenk, Carolyn Roberts, Abani Patra
    http://arxiv.org/abs/2007.05010v1

    • [stat.AP]Evaluating Fairness Using Permutation Tests
    Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal
    http://arxiv.org/abs/2007.05124v1

    • [stat.AP]Space-Time Smoothing of Demographic and Health Indicators using the R Package SUMMER
    Zehang Richard Li, Bryan D Martin, Tracy Qi Dong, Geir-Arne Fuglstad, John Paige, Andrea Riebler, Samuel Clark, Jon Wakefield
    http://arxiv.org/abs/2007.05117v1

    • [stat.AP]To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
    Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja
    http://arxiv.org/abs/2007.05304v1

    • [stat.ME]Analyzing the Effects of Observation Function Selection in Ensemble Kalman Filtering for Epidemic Models
    Leah Mitchell, Andrea Arnold
    http://arxiv.org/abs/2007.05114v1

    • [stat.ME]Community Network Auto-Regression for High-Dimensional Time Series
    Elynn Y. Chen, Jianqing Fan, Xuening Zhu
    http://arxiv.org/abs/2007.05521v1

    • [stat.ME]High heritability does not imply accurate prediction under the small additive effects hypothesis
    Arthur Frouin, Claire Dandine-Roulland, Morgane Pierre-Jean, Jean-François Deleuze, Christophe Ambroise, Edith Le Floch
    http://arxiv.org/abs/2007.05424v1

    • [stat.ME]Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
    Zachary F. Fisher, Younghoon Kim, Barbara Fredrickson, Vladas Pipiras
    http://arxiv.org/abs/2007.05052v1

    • [stat.ML]Generalized Maximum Entropy for Supervised Classification
    Santiago Mazuelas, Yuan Shen, Aritz Pérez
    http://arxiv.org/abs/2007.05447v1

    • [stat.ML]Next Waves in Veridical Network Embedding
    Owen G. Ward, Zhen Huang, Andrew Davison, Tian Zheng
    http://arxiv.org/abs/2007.05385v1

    • [stat.ML]Robust Geodesic Regression
    Ha-Young Shin, Hee-Seok Oh
    http://arxiv.org/abs/2007.04518v2

    • [stat.ML]Variational Inference with Continuously-Indexed Normalizing Flows
    Anthony Caterini, Rob Cornish, Dino Sejdinovic, Arnaud Doucet
    http://arxiv.org/abs/2007.05426v1