cond-mat.dis-nn - 无序系统与神经网络

    cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 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.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.LO - 计算逻辑 cs.MA - 多代理系统 cs.NE - 神经与进化计算 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 hep-ph - 高能物理现象学 math.CO - 组合数学 math.FA - 泛函演算 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.med-ph - 医学物理学 q-bio.BM - 生物分子 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]A new role for circuit expansion for learning in neural networks
    • [cs.AI]Adventures in Mathematical Reasoning
    • [cs.AI]Multi-Agent Reinforcement Learning with Graph Clustering
    • [cs.AI]Prescriptive Business Process Monitoring for Recommending Next Best Actions
    • [cs.AI]SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality
    • [cs.CE]TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall
    • [cs.CL]A Survey on Text Simplification
    • [cs.CL]An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension
    • [cs.CL]Assigning function to protein-protein interactions: a weakly supervised BioBERT based approach using PubMed abstracts
    • [cs.CL]Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets
    • [cs.CL]Constructing a Knowledge Graph from Unstructured Documents without External Alignment
    • [cs.CL]Controlling Dialogue Generation with Semantic Exemplars
    • [cs.CL]Discovering Useful Sentence Representations from Large Pretrained Language Models
    • [cs.CL]Do Syntax Trees Help Pre-trained Transformers Extract Information?
    • [cs.CL]Inducing Language-Agnostic Multilingual Representations
    • [cs.CL]Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries
    • [cs.CL]Lite Training Strategies for Portuguese-English and English-Portuguese Translation
    • [cs.CL]Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
    • [cs.CL]Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR
    • [cs.CL]Transformer based Multilingual document Embedding model
    • [cs.CR]Learning Attribute-Based and Relationship-Based Access Control Policies with Unknown Values
    • [cs.CR]When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control
    • [cs.CV]Accuracy and Performance Comparison of Video Action Recognition Approaches
    • [cs.CV]Anchor-free Small-scale Multispectral Pedestrian Detection
    • [cs.CV]Attribute Prototype Network for Zero-Shot Learning
    • [cs.CV]Co-Saliency Detection with Co-Attention Fully Convolutional Network
    • [cs.CV]DeepGMR: Learning Latent Gaussian Mixture Models for Registration
    • [cs.CV]Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
    • [cs.CV]Document Visual Question Answering Challenge 2020
    • [cs.CV]DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
    • [cs.CV]Generating Adjacency Matrix for Video-Query based Video Moment Retrieval
    • [cs.CV]Generative View Synthesis: From Single-view Semantics to Novel-view Images
    • [cs.CV]Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation
    • [cs.CV]Hidden Footprints: Learning Contextual Walkability from 3D Human Trails
    • [cs.CV]ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data
    • [cs.CV]Improving Text to Image Generation using Mode-seeking Function
    • [cs.CV]Investigating the Effect of Intraclass Variability in Temporal Ensembling
    • [cs.CV]Line detection via a lightweight CNN with a Hough Layer
    • [cs.CV]Localizing Anomalies from Weakly-Labeled Videos
    • [cs.CV]Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
    • [cs.CV]Monocular Expressive Body Regression through Body-Driven Attention
    • [cs.CV]Object Properties Inferring from and Transfer for Human Interaction Motions
    • [cs.CV]On Qualitative Shape Inferences: a journey from geometry to topology
    • [cs.CV]PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time
    • [cs.CV]Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
    • [cs.CV]RFNet: Riemannian Fusion Network for EEG-based Brain-Computer Interfaces
    • [cs.CV]Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking
    • [cs.CV]Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions
    • [cs.CV]Spatial—spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images
    • [cs.CV]Text-based Localization of Moments in a Video Corpus
    • [cs.CV]Unsupervised Learning Facial Parameter Regressor for Action Unit Intensity Estimation via Differentiable Renderer
    • [cs.CV]Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks
    • [cs.CV]Weakly-supervised 3D Shape Completion in the Wild
    • [cs.CV]Yet Another Intermediate-Level Attack
    • [cs.CV]iCaps: An Interpretable Classifier via Disentangled Capsule Networks
    • [cs.DC]A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs
    • [cs.DC]A Survey of Coded Distributed Computing
    • [cs.DC]An In-Depth Analysis of the Slingshot Interconnect
    • [cs.DC]Gathering in 1-Interval Connected Graphs
    • [cs.DC]High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip
    • [cs.DC]Intelligent Replication Management for HDFS Using Reinforcement Learning
    • [cs.DC]Synthesizing Optimal Collective Algorithms
    • [cs.DL]Understanding the Advisor-advisee Relationship via Scholarly Data Analysis
    • [cs.HC]Facial movement synergies and Action Unit detection from distal wearable Electromyography and Computer Vision
    • [cs.HC]The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems
    • [cs.IR]Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
    • [cs.IR]PARADE: Passage Representation Aggregation for Document Reranking
    • [cs.IT]A Value of Information Framework for Latent Variable Models
    • [cs.IT]An Overview of Generalized Frequency Division Multiplexing (GFDM)
    • [cs.IT]Cache-aided Interference Management using Hypercube Combinatorial Cache Design with Reduced Subpacketizations and Order Optimal Sum-Degrees of Freedom
    • [cs.IT]Cellular Networks With Finite Precision CSIT: GDoF Optimality of Multi-Cell TIN and Extremal Gains of Multi-Cell Cooperation
    • [cs.IT]Coded Caching over Multicast Routing Networks
    • [cs.IT]Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection (Extended version)
    • [cs.IT]Corrections to “An Innovations Approach to Viterbi Decoding of Convolutional Codes”
    • [cs.IT]Energy-efficiency of Massive Random Access with Individual Codebook
    • [cs.IT]Erasure decoding of convolutional codes using first order representations
    • [cs.IT]Linear hash-functions and their applications to error detection and correction
    • [cs.IT]Massive Unsourced Random Access for Massive MIMO Correlated Channels
    • [cs.IT]Robust Instance-Optimal Recovery of Sparse Signals at Unknown Noise Levels
    • [cs.LG]$\ell_p$-Norm Multiple Kernel One-Class Fisher Null-Space
    • [cs.LG]$β$-Variational Classifiers Under Attack
    • [cs.LG]A Simple Proof of Optimal Approximations
    • [cs.LG]Asymptotics of Wide Convolutional Neural Networks
    • [cs.LG]Balanced Order Batching with Task-Oriented Graph Clustering
    • [cs.LG]Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
    • [cs.LG]Does MAML really want feature reuse only?
    • [cs.LG]Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models
    • [cs.LG]Frank-Wolfe algorithm for learning SVM-type multi-category classifiers
    • [cs.LG]Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation
    • [cs.LG]Generative Adversarial Networks for Spatio-temporal Data: A Survey
    • [cs.LG]Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks
    • [cs.LG]Neural Neighborhood Encoding for Classification
    • [cs.LG]Neural Networks and Quantum Field Theory
    • [cs.LG]No-regret Algorithms for Multi-task Bayesian Optimization
    • [cs.LG]On $\ell_p$-norm Robustness of Ensemble Stumps and Trees
    • [cs.LG]Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes
    • [cs.LG]Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks
    • [cs.LG]Regularization And Normalization For Generative Adversarial Networks: A Review
    • [cs.LG]Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting
    • [cs.LG]Segmenting Bank Customers via RFM Model and Unsupervised Machine Learning
    • [cs.LG]Static Neural Compiler Optimization via Deep Reinforcement Learning
    • [cs.LG]Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks
    • [cs.LG]Training Sensitivity in Graph Isomorphism Network
    • [cs.LG]Using Ensemble Classifiers to Detect Incipient Anomalies
    • [cs.LO]DPMC: Weighted Model Counting by Dynamic Programming on Project-Join Trees
    • [cs.MA]Institutional Grammar 2.0 Codebook
    • [cs.MA]The Curse of Shared Knowledge: Recursive Belief Reasoning in a Coordination Game with Imperfect Information
    • [cs.NE]A summary of the prevalence of Genetic Algorithms in Bioinformatics from 2015 onwards
    • [cs.PL]Proceedings Eighth and Ninth International Workshop on Trends in Functional Programming in Education
    • [cs.RO]Autonomous Social Distancing in Urban Environments using a Quadruped Robot
    • [cs.RO]EGO-Planner: An ESDF-free Gradient-based Local Planner for Quadrotors
    • [cs.RO]Expressing Diverse Human Driving Behavior with ProbabilisticRewards and Online Inference
    • [cs.RO]RoomShift: Room-scale Dynamic Haptics for VR with Furniture-moving Swarm Robots
    • [cs.RO]Switching Model Predictive Control for Online Structural Reformations of a Foldable Quadrotor
    • [cs.SE]ConfEx: A Framework for Automating Text-based Software Configuration Analysis in the Cloud
    • [cs.SI]A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
    • [cs.SI]A Robust Opinion Spam Detection Method Against Malicious Attackers in Social Media
    • [cs.SI]A comparative study of similarity-based and GNN-based link prediction approaches
    • [cs.SI]Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
    • [cs.SI]How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter
    • [cs.SI]VAIM: Visual Analytics for Influence Maximization
    • [econ.GN]Positionality-Weighted Aggregation Methods on Cumulative Voting
    • [eess.AS]Speaker-Utterance Dual Attention for Speaker and Utterance Verification
    • [eess.AS]asya: Mindful verbal communication using deep learning
    • [eess.IV]A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays
    • [eess.IV]Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis
    • [eess.IV]Direct Adversarial Training for GANs
    • [eess.IV]Image Segmentation of Zona-Ablated Human Blastocysts
    • [eess.IV]Image quality assessment for closed-loop computer-assisted lung ultrasound
    • [eess.IV]Inner Cell Mass and Trophectoderm Segmentation in Human Blastocyst Images using Deep Neural Network
    • [eess.IV]Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis
    • [eess.IV]Single Image Super-Resolution via a Holistic Attention Network
    • [eess.IV]Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior
    • [hep-ph]Linearized Optimal Transport for Collider Events
    • [math.CO]On transversality of bent hyperplane arrangements and the topological expressiveness of ReLU neural networks
    • [math.FA]Sparse phase retrieval via Phaseliftoff
    • [math.OC]An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization
    • [math.OC]Markov Chain-Based Stochastic Strategies for Robotic Surveillance
    • [math.PR]Generalizing the de Finetti—Hewitt—Savage theorem
    • [math.ST]Cumulative Residual Extropy of Minimum Ranked Set Sampling with Unequal Samples
    • [math.ST]Simple Analysis of Johnson-Lindenstrauss Transform under Neuroscience Constraints
    • [math.ST]Strong consistent model selection for general causal time series
    • [physics.med-ph]iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry
    • [q-bio.BM]Generative chemistry: drug discovery with deep learning generative models
    • [q-fin.RM]Optimal Network Compression
    • [quant-ph]Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor
    • [quant-ph]The effect of data encoding on the expressive power of variational quantum machine learning models
    • [stat.AP]Effect of COVID-19 on noise pollution change in Dublin, Ireland
    • [stat.ME]Cluster-Adaptive Network A/B Testing: From Randomization to Estimation
    • [stat.ME]Exact Tests for Offline Changepoint Detection in Multichannel Binary and Count Data with Application to Networks
    • [stat.ME]Functional Data Analysis with Causation in Observational Studies: Covariate Balancing Functional Propensity Score for Functional Treatments
    • [stat.ME]Maximum likelihood estimation of parameters of spherical particle size distributions from profile size measurements and its application for small samples
    • [stat.ME]Unified Rules of Renewable Weighted Sums for Various Online Updating Estimations
    • [stat.ME]Varying-coefficient stochastic differential equations with applications in ecology
    • [stat.ML]Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature
    • [stat.ML]LOCUS: A Novel Decomposition Method for Brain Network Connectivity Matrices using Low-rank Structure with Uniform Sparsity
    • [stat.ML]Minimum discrepancy principle strategy for choosing $k$ in $k$-NN regression
    • [stat.ML]On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
    • [stat.ML]SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks

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    • [cond-mat.dis-nn]A new role for circuit expansion for learning in neural networks
    Julia Steinberg, Madhu Advani, Haim Sompolinsky
    http://arxiv.org/abs/2008.08653v1

    • [cs.AI]Adventures in Mathematical Reasoning
    Toby Walsh
    http://arxiv.org/abs/2008.09067v1

    • [cs.AI]Multi-Agent Reinforcement Learning with Graph Clustering
    Tianze Zhou, Fubiao Zhang, Chenfei Wang
    http://arxiv.org/abs/2008.08808v1

    • [cs.AI]Prescriptive Business Process Monitoring for Recommending Next Best Actions
    Sven Weinzierl, Sebastian Dunzer, Sandra Zilker, Martin Matzner
    http://arxiv.org/abs/2008.08693v1

    • [cs.AI]SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality
    Wissam Maamar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Ben Amor
    http://arxiv.org/abs/2008.08919v1

    • [cs.CE]TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall
    Rilwan Adewoyin, Peter Dueben, Peter Watson, Yulan He, Ritabrata Dutta
    http://arxiv.org/abs/2008.09090v1

    • [cs.CL]A Survey on Text Simplification
    Punardeep Sikka, Manmeet Singh, Allen Pink, Vijay Mago
    http://arxiv.org/abs/2008.08612v1

    • [cs.CL]An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension
    Son T. Luu, Kiet Van Nguyen, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2008.08810v1

    • [cs.CL]Assigning function to protein-protein interactions: a weakly supervised BioBERT based approach using PubMed abstracts
    Aparna Elangovan, Melissa Davis, Karin Verspoor
    http://arxiv.org/abs/2008.08727v1

    • [cs.CL]Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets
    Liesbeth Allein, Marie-Francine Moens
    http://arxiv.org/abs/2008.08854v1

    • [cs.CL]Constructing a Knowledge Graph from Unstructured Documents without External Alignment
    Seunghak Yu, Tianxing He, James Glass
    http://arxiv.org/abs/2008.08995v1

    • [cs.CL]Controlling Dialogue Generation with Semantic Exemplars
    Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, Amy Pavel
    http://arxiv.org/abs/2008.09075v1

    • [cs.CL]Discovering Useful Sentence Representations from Large Pretrained Language Models
    Nishant Subramani, Nivedita Suresh
    http://arxiv.org/abs/2008.09049v1

    • [cs.CL]Do Syntax Trees Help Pre-trained Transformers Extract Information?
    Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William Hamilton
    http://arxiv.org/abs/2008.09084v1

    • [cs.CL]Inducing Language-Agnostic Multilingual Representations
    Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein
    http://arxiv.org/abs/2008.09112v1

    • [cs.CL]Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries
    Benjamin Heinzerling, Kentaro Inui
    http://arxiv.org/abs/2008.09036v1

    • [cs.CL]Lite Training Strategies for Portuguese-English and English-Portuguese Translation
    Alexandre Lopes, Rodrigo Nogueira, Roberto Lotufo, Helio Pedrini
    http://arxiv.org/abs/2008.08769v1

    • [cs.CL]Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
    Nicholas Lourie, Ronan Le Bras, Yejin Choi
    http://arxiv.org/abs/2008.09094v1

    • [cs.CL]Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR
    Juri Opitz, Anette Frank
    http://arxiv.org/abs/2008.08896v1

    • [cs.CL]Transformer based Multilingual document Embedding model
    Wei Li, Brian Mak
    http://arxiv.org/abs/2008.08567v2

    • [cs.CR]Learning Attribute-Based and Relationship-Based Access Control Policies with Unknown Values
    Thang Bui, Scott D. Stoller
    http://arxiv.org/abs/2008.08444v2

    • [cs.CR]When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control
    Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong
    http://arxiv.org/abs/2008.08753v1

    • [cs.CV]Accuracy and Performance Comparison of Video Action Recognition Approaches
    Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Micheal Houle, Matthew Hubbell, Micheal Jones, Jeremy Kepner, Andrew Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally
    http://arxiv.org/abs/2008.09037v1

    • [cs.CV]Anchor-free Small-scale Multispectral Pedestrian Detection
    Alexander Wolpert, Michael Teutsch, M. Saquib Sarfraz, Rainer Stiefelhagen
    http://arxiv.org/abs/2008.08418v2

    • [cs.CV]Attribute Prototype Network for Zero-Shot Learning
    Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
    http://arxiv.org/abs/2008.08290v2

    • [cs.CV]Co-Saliency Detection with Co-Attention Fully Convolutional Network
    Guangshuai Gao, Wenting Zhao, Qingjie Liu, Yunhong Wang
    http://arxiv.org/abs/2008.08909v1

    • [cs.CV]DeepGMR: Learning Latent Gaussian Mixture Models for Registration
    Wentao Yuan, Ben Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, Jan Kautz
    http://arxiv.org/abs/2008.09088v1

    • [cs.CV]Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
    Prarthana Bhattacharyya, Krzysztof Czarnecki
    http://arxiv.org/abs/2008.08766v1

    • [cs.CV]Document Visual Question Answering Challenge 2020
    Minesh Mathew, Ruben Tito, Dimosthenis Karatzas, R. Manmatha, C. V. Jawahar
    http://arxiv.org/abs/2008.08899v1

    • [cs.CV]DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
    Georgios Albanis, Nikolaos Zioulis, Anastasios Dimou, Dimitrios Zarpalas, Petrod Daras
    http://arxiv.org/abs/2008.08823v1

    • [cs.CV]Generating Adjacency Matrix for Video-Query based Video Moment Retrieval
    Yuan Zhou, Mingfei Wang, Ruolin Wang, Shuwei Huo
    http://arxiv.org/abs/2008.08977v1

    • [cs.CV]Generative View Synthesis: From Single-view Semantics to Novel-view Images
    Tewodros Habtegebrial, Varun Jampani, Orazio Gallo, Didier Stricker
    http://arxiv.org/abs/2008.09106v1

    • [cs.CV]Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation
    Haiyue Zhu, Yiting Li, Fengjun Bai, Wenjie Chen, Xiaocong Li, Jun Ma, Chek Sing Teo, Pey Yuen Tao, Wei Lin
    http://arxiv.org/abs/2008.08817v1

    • [cs.CV]Hidden Footprints: Learning Contextual Walkability from 3D Human Trails
    Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely
    http://arxiv.org/abs/2008.08701v1

    • [cs.CV]ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data
    Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
    http://arxiv.org/abs/2008.08974v1

    • [cs.CV]Improving Text to Image Generation using Mode-seeking Function
    Naitik Bhise, Zhenfei Zhang, Tien D. Bui
    http://arxiv.org/abs/2008.08976v1

    • [cs.CV]Investigating the Effect of Intraclass Variability in Temporal Ensembling
    Siddharth Vohra, Manikandan Ravikiran
    http://arxiv.org/abs/2008.08956v1

    • [cs.CV]Line detection via a lightweight CNN with a Hough Layer
    Lev Teplyakov, Kirill Kaymakov, Evgeny Shvets, Dmitry Nikolaev
    http://arxiv.org/abs/2008.08884v1

    • [cs.CV]Localizing Anomalies from Weakly-Labeled Videos
    Hui Lv, Chuanwei Zhou, Chunyan Xu, Zhen Cui, Jian Yang
    http://arxiv.org/abs/2008.08944v1

    • [cs.CV]Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
    Jeevan Devaranjan, Amlan Kar, Sanja Fidler
    http://arxiv.org/abs/2008.09092v1

    • [cs.CV]Monocular Expressive Body Regression through Body-Driven Attention
    Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, Michael J. Black
    http://arxiv.org/abs/2008.09062v1

    • [cs.CV]Object Properties Inferring from and Transfer for Human Interaction Motions
    Qian Zheng, Weikai Wu, Hanting Pan, Niloy Mitra, Daniel Cohen-Or, Hui Huang
    http://arxiv.org/abs/2008.08999v1

    • [cs.CV]On Qualitative Shape Inferences: a journey from geometry to topology
    Steven W Zucker
    http://arxiv.org/abs/2008.08622v1

    • [cs.CV]PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time
    Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Christian Theobalt
    http://arxiv.org/abs/2008.08880v1

    • [cs.CV]Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
    Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee
    http://arxiv.org/abs/2008.09047v1

    • [cs.CV]RFNet: Riemannian Fusion Network for EEG-based Brain-Computer Interfaces
    Guangyi Zhang, Ali Etemad
    http://arxiv.org/abs/2008.08633v1

    • [cs.CV]Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking
    ShiJie Sun, Naveed Akhtar, XiangYu Song, HuanSheng Song, Ajmal Mian, Mubarak Shah
    http://arxiv.org/abs/2008.08826v1

    • [cs.CV]Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions
    Shuangjun Liu, Xiaofei Huang, Nihang Fu, Cheng Li, Zhongnan Su, Sarah Ostadabbas
    http://arxiv.org/abs/2008.08735v1

    • [cs.CV]Spatial—spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images
    Qingsong Xu, Xin Yuan, Chaojun Ouyang, Yue Zeng
    http://arxiv.org/abs/2008.08775v1

    • [cs.CV]Text-based Localization of Moments in a Video Corpus
    Sudipta Paul, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury
    http://arxiv.org/abs/2008.08716v1

    • [cs.CV]Unsupervised Learning Facial Parameter Regressor for Action Unit Intensity Estimation via Differentiable Renderer
    Xinhui Song, Tianyang Shi, Zunlei Feng, Mingli Song, Jackie Lin, Chuanjie Lin, Changjie Fan, Yi Yuan
    http://arxiv.org/abs/2008.08862v1

    • [cs.CV]Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks
    Muhammad Sabih, Frank Hannig, Juergen Teich
    http://arxiv.org/abs/2008.09072v1

    • [cs.CV]Weakly-supervised 3D Shape Completion in the Wild
    Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun
    http://arxiv.org/abs/2008.09110v1

    • [cs.CV]Yet Another Intermediate-Level Attack
    Qizhang Li, Yiwen Guo, Hao Chen
    http://arxiv.org/abs/2008.08847v1

    • [cs.CV]iCaps: An Interpretable Classifier via Disentangled Capsule Networks
    Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon
    http://arxiv.org/abs/2008.08756v1

    • [cs.DC]A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs
    Fareed Qararyah, Mohamed Wahib, Doğa Dikbayır, Mehmet Esat Belviranli, Didem Unat
    http://arxiv.org/abs/2008.08636v1

    • [cs.DC]A Survey of Coded Distributed Computing
    Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong, Zehui Xiong, Alia Asheralieva, Dusit Niyato, Cyril Leung, Chunyan Miao
    http://arxiv.org/abs/2008.09048v1

    • [cs.DC]An In-Depth Analysis of the Slingshot Interconnect
    Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler
    http://arxiv.org/abs/2008.08886v1

    • [cs.DC]Gathering in 1-Interval Connected Graphs
    Othon Michail, Paul G. Spirakis, Michail Theofilatos
    http://arxiv.org/abs/2008.07455v1

    • [cs.DC]High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip
    Kris Nikov, Mohammad Hosseinabady, Rafael Asenjo, Andrés Rodríguezz, Angeles Navarro, Jose Nunez-Yanez
    http://arxiv.org/abs/2008.08883v1

    • [cs.DC]Intelligent Replication Management for HDFS Using Reinforcement Learning
    Hyunsung Lee
    http://arxiv.org/abs/2008.08665v1

    • [cs.DC]Synthesizing Optimal Collective Algorithms
    Zixian Cai, Zhengyang Liu, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi
    http://arxiv.org/abs/2008.08708v1

    • [cs.DL]Understanding the Advisor-advisee Relationship via Scholarly Data Analysis
    Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer AL-Makhadmeh, Feng Xia
    http://arxiv.org/abs/2008.08743v1

    • [cs.HC]Facial movement synergies and Action Unit detection from distal wearable Electromyography and Computer Vision
    Monica Perusquia-Hernandez, Felix Dollack, Chun Kwang Tan, Shushi Namba, Saho Ayabe-Kanamura, Kenji Suzuki
    http://arxiv.org/abs/2008.08791v1

    • [cs.HC]The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems
    Mahsan Nourani, Joanie T. King, Eric D. Ragan
    http://arxiv.org/abs/2008.09100v1

    • [cs.IR]Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
    Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
    http://arxiv.org/abs/2008.09061v1

    • [cs.IR]PARADE: Passage Representation Aggregation for Document Reranking
    Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun
    http://arxiv.org/abs/2008.09093v1

    • [cs.IT]A Value of Information Framework for Latent Variable Models
    Zijing Wang, Mihai-Alin Badiu, Justin P. Coon
    http://arxiv.org/abs/2008.08907v1

    • [cs.IT]An Overview of Generalized Frequency Division Multiplexing (GFDM)
    Ching-Lun Tai, Tzu-Han Wang, Yu-Hua Huang
    http://arxiv.org/abs/2008.08947v1

    • [cs.IT]Cache-aided Interference Management using Hypercube Combinatorial Cache Design with Reduced Subpacketizations and Order Optimal Sum-Degrees of Freedom
    Xiang Zhang, Nicholas Woolsey, Mingyue Ji
    http://arxiv.org/abs/2008.08978v1

    • [cs.IT]Cellular Networks With Finite Precision CSIT: GDoF Optimality of Multi-Cell TIN and Extremal Gains of Multi-Cell Cooperation
    Hamdi Joudeh, Giuseppe Caire
    http://arxiv.org/abs/2008.08945v1

    • [cs.IT]Coded Caching over Multicast Routing Networks
    Mozhgan Bayat, Kai Wan, Giuseppe Caire
    http://arxiv.org/abs/2008.08900v1

    • [cs.IT]Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection (Extended version)
    Zezhong Zhang, Seung-Woo Ko, Rui Wang, Kaibin Huang
    http://arxiv.org/abs/2008.08906v1

    • [cs.IT]Corrections to “An Innovations Approach to Viterbi Decoding of Convolutional Codes”
    Masato Tajima
    http://arxiv.org/abs/2008.08760v1

    • [cs.IT]Energy-efficiency of Massive Random Access with Individual Codebook
    Junyuan Gao, Yongpeng Wu, Wenjun Zhang
    http://arxiv.org/abs/2008.08740v1

    • [cs.IT]Erasure decoding of convolutional codes using first order representations
    Julia Lieb, Joachim Rosenthal
    http://arxiv.org/abs/2008.09013v1

    • [cs.IT]Linear hash-functions and their applications to error detection and correction
    Boris Ryabko
    http://arxiv.org/abs/2008.08955v1

    • [cs.IT]Massive Unsourced Random Access for Massive MIMO Correlated Channels
    Xinyu Xie, Yongpeng Wu, Junyuan Gao, Wenjun Zhang
    http://arxiv.org/abs/2008.08742v1

    • [cs.IT]Robust Instance-Optimal Recovery of Sparse Signals at Unknown Noise Levels
    Hendrik Bernd Petersen, Peter Jung
    http://arxiv.org/abs/2008.08385v2

    • [cs.LG]$\ell_p$-Norm Multiple Kernel One-Class Fisher Null-Space
    Shervin Rahimzadeh Arashloo
    http://arxiv.org/abs/2008.08642v1

    • [cs.LG]$β$-Variational Classifiers Under Attack
    Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
    http://arxiv.org/abs/2008.09010v1

    • [cs.LG]A Simple Proof of Optimal Approximations
    Mónika Csikós, Nabil H. Mustafa
    http://arxiv.org/abs/2008.08970v1

    • [cs.LG]Asymptotics of Wide Convolutional Neural Networks
    Anders Andreassen, Ethan Dyer
    http://arxiv.org/abs/2008.08675v1

    • [cs.LG]Balanced Order Batching with Task-Oriented Graph Clustering
    Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu
    http://arxiv.org/abs/2008.09018v1

    • [cs.LG]Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
    Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
    http://arxiv.org/abs/2008.08844v1

    • [cs.LG]Does MAML really want feature reuse only?
    Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun
    http://arxiv.org/abs/2008.08882v1

    • [cs.LG]Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models
    Mary Akinyemi, Chika Yinka-Banjo, Ogban-Asuquo Ugot, Akwarandu Ugo Nwachuku
    http://arxiv.org/abs/2008.08624v1

    • [cs.LG]Frank-Wolfe algorithm for learning SVM-type multi-category classifiers
    Kenya Tajima, Yoshihiro Hirohashi, Esmeraldo Ronnie Rey Zara, Tsuyoshi Kato
    http://arxiv.org/abs/2008.08894v1

    • [cs.LG]Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation
    Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto Sangiovanni Vincentelli
    http://arxiv.org/abs/2008.08713v1

    • [cs.LG]Generative Adversarial Networks for Spatio-temporal Data: A Survey
    Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
    http://arxiv.org/abs/2008.08903v1

    • [cs.LG]Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks
    Yida Huang, Haoyan Xu, Ziheng Duan, Anni Ren, Jie Feng, Xiaoqian Wang
    http://arxiv.org/abs/2008.08617v1

    • [cs.LG]Neural Neighborhood Encoding for Classification
    Kaushik Sinha, Parikshit Ram
    http://arxiv.org/abs/2008.08685v1

    • [cs.LG]Neural Networks and Quantum Field Theory
    James Halverson, Anindita Maiti, Keegan Stoner
    http://arxiv.org/abs/2008.08601v1

    • [cs.LG]No-regret Algorithms for Multi-task Bayesian Optimization
    Sayak Ray Chowdhury, Aditya Gopalan
    http://arxiv.org/abs/2008.08885v1

    • [cs.LG]On $\ell_p$-norm Robustness of Ensemble Stumps and Trees
    Yihan Wang, Huan Zhang, Hongge Chen, Duane Boning, Cho-Jui Hsieh
    http://arxiv.org/abs/2008.08755v1

    • [cs.LG]Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes
    Jinhe Shi, Xiangyu Gao, Chenyu Ha, Yage Wang, Guodong Gao, Yi Chen
    http://arxiv.org/abs/2008.08957v1

    • [cs.LG]Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks
    Ramin Zarei Sabzevar, Kamaledin Ghiasi-Shirazi, Ahad Harati
    http://arxiv.org/abs/2008.08750v1

    • [cs.LG]Regularization And Normalization For Generative Adversarial Networks: A Review
    Ziqiang Li, Rentuo Tao, Bin Li
    http://arxiv.org/abs/2008.08930v1

    • [cs.LG]Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting
    Satheesh K. Perepu, Bala Shyamala Balaji, Hemanth Kumar Tanneru, Sudhakar Kathari, Vivek Shankar Pinnamaraju
    http://arxiv.org/abs/2008.08878v1

    • [cs.LG]Segmenting Bank Customers via RFM Model and Unsupervised Machine Learning
    Musadig Aliyev, Elvin Ahmadov, Habil Gadirli, Arzu Mammadova, Emin Alasgarov
    http://arxiv.org/abs/2008.08662v1

    • [cs.LG]Static Neural Compiler Optimization via Deep Reinforcement Learning
    Rahim Mammadli, Ali Jannesari, Felix Wolf
    http://arxiv.org/abs/2008.08951v1

    • [cs.LG]Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks
    Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
    http://arxiv.org/abs/2008.08838v1

    • [cs.LG]Training Sensitivity in Graph Isomorphism Network
    Md. Khaledur Rahman
    http://arxiv.org/abs/2008.09020v1

    • [cs.LG]Using Ensemble Classifiers to Detect Incipient Anomalies
    Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto Sangiovanni Vincentelli
    http://arxiv.org/abs/2008.08710v1

    • [cs.LO]DPMC: Weighted Model Counting by Dynamic Programming on Project-Join Trees
    Jeffrey M. Dudek, Vu H. N. Phan, Moshe Y. Vardi
    http://arxiv.org/abs/2008.08748v1

    • [cs.MA]Institutional Grammar 2.0 Codebook
    Christopher K. Frantz, Saba N. Siddiki
    http://arxiv.org/abs/2008.08937v1

    • [cs.MA]The Curse of Shared Knowledge: Recursive Belief Reasoning in a Coordination Game with Imperfect Information
    Thomas Bolander, Robin Engelhardt, Thomas S. Nicolet
    http://arxiv.org/abs/2008.08849v1

    • [cs.NE]A summary of the prevalence of Genetic Algorithms in Bioinformatics from 2015 onwards
    Mekaal Swerhun, Jasmine Foley, Brandon Massop, Vijay Mago
    http://arxiv.org/abs/2008.09017v1

    • [cs.PL]Proceedings Eighth and Ninth International Workshop on Trends in Functional Programming in Education
    Jurriaan Hage
    http://arxiv.org/abs/2008.08923v1

    • [cs.RO]Autonomous Social Distancing in Urban Environments using a Quadruped Robot
    Tingxiang Fan, Zhiming Chen, Xuan Zhao, Jing Liang, Cong Shen, Dinesh Manocha, Jia Pan, Wei Zhang
    http://arxiv.org/abs/2008.08889v1

    • [cs.RO]EGO-Planner: An ESDF-free Gradient-based Local Planner for Quadrotors
    Xin Zhou, Zhepei Wang, Chao Xu, Fei Gao
    http://arxiv.org/abs/2008.08835v1

    • [cs.RO]Expressing Diverse Human Driving Behavior with ProbabilisticRewards and Online Inference
    Liting Sun, Zheng Wu, Hengbo Ma, Masayoshi Tomizuka
    http://arxiv.org/abs/2008.08812v1

    • [cs.RO]RoomShift: Room-scale Dynamic Haptics for VR with Furniture-moving Swarm Robots
    Ryo Suzuki, Hooman Hedayati, Clement Zheng, James Bohn, Daniel Szafir, Ellen Yi-Luen Do, Mark D. Gross, Daniel Leithinger
    http://arxiv.org/abs/2008.08695v1

    • [cs.RO]Switching Model Predictive Control for Online Structural Reformations of a Foldable Quadrotor
    Andreas Papadimitriou, George Nikolakopoulos
    http://arxiv.org/abs/2008.08893v1

    • [cs.SE]ConfEx: A Framework for Automating Text-based Software Configuration Analysis in the Cloud
    Ozan Tuncer, Anthony Byrne, Nilton Bila, Sastry Duri, Canturk Isci, Ayse K. Coskun
    http://arxiv.org/abs/2008.08656v1

    • [cs.SI]A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
    Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
    http://arxiv.org/abs/2008.08931v1

    • [cs.SI]A Robust Opinion Spam Detection Method Against Malicious Attackers in Social Media
    Amir Jalaly Bidgolya, Zoleikha Rahmaniana
    http://arxiv.org/abs/2008.08650v1

    • [cs.SI]A comparative study of similarity-based and GNN-based link prediction approaches
    Md Kamrul Islam, Sabeur Aridhi, Malika Smail-Tabbone
    http://arxiv.org/abs/2008.08879v1

    • [cs.SI]Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
    Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
    http://arxiv.org/abs/2008.08692v1

    • [cs.SI]How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter
    Rajdeep Mukherjee, Sriyash Poddar, Atharva Naik, Soham Dasgupta
    http://arxiv.org/abs/2008.09035v1

    • [cs.SI]VAIM: Visual Analytics for Influence Maximization
    Alessio Arleo, Walter Didimo, Giuseppe Liotta, Silvia Miksch, Fabrizio Montecchiani
    http://arxiv.org/abs/2008.08821v1

    • [econ.GN]Positionality-Weighted Aggregation Methods on Cumulative Voting
    Takeshi Kato, Yasuhiro Asa, Misa Owa
    http://arxiv.org/abs/2008.08759v1

    • [eess.AS]Speaker-Utterance Dual Attention for Speaker and Utterance Verification
    Tianchi Liu, Rohan Kumar Das, Maulik Madhavi, Shengmei Shen, Haizhou Li
    http://arxiv.org/abs/2008.08901v1

    • [eess.AS]asya: Mindful verbal communication using deep learning
    Evalds Urtans, Ariel Tabaks
    http://arxiv.org/abs/2008.08965v1

    • [eess.IV]A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays
    Hrithwik Shalu, Harikrishnan P, Akash Das, Megdut Mandal, Harshavardhan M Sali, Juned Kadiwala
    http://arxiv.org/abs/2008.08912v1

    • [eess.IV]Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis
    Kevin de Haan, Yijie Zhang, Tairan Liu, Anthony E. Sisk, Miguel F. P. Diaz, Jonathan E. Zuckerman, Yair Rivenson, W. Dean Wallace, Aydogan Ozcan
    http://arxiv.org/abs/2008.08871v1

    • [eess.IV]Direct Adversarial Training for GANs
    Ziqiang Li
    http://arxiv.org/abs/2008.09041v1

    • [eess.IV]Image Segmentation of Zona-Ablated Human Blastocysts
    Md Yousuf Harun, M Arifur Rahman, Joshua Mellinger, Willy Chang, Thomas Huang, Brienne Walker, Kristen Hori, Aaron T. Ohta
    http://arxiv.org/abs/2008.08673v1

    • [eess.IV]Image quality assessment for closed-loop computer-assisted lung ultrasound
    Zachary M C Baum, Ester Bonmati, Lorenzo Cristoni, Andrew Walden, Ferran Prados, Baris Kanber, Dean C Barratt, David J Hawkes, Geoffrey J M Parker, Claudia A M Gandini Wheeler-Kingshott, Yipeng Hu
    http://arxiv.org/abs/2008.08840v1

    • [eess.IV]Inner Cell Mass and Trophectoderm Segmentation in Human Blastocyst Images using Deep Neural Network
    Md Yousuf Harun, Thomas Huang, Aaron T. Ohta
    http://arxiv.org/abs/2008.08676v1

    • [eess.IV]Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis
    Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble
    http://arxiv.org/abs/2008.08698v1

    • [eess.IV]Single Image Super-Resolution via a Holistic Attention Network
    Ben Niu, Weilei Wen, Wenqi Ren, Xiangde Zhang, Lianping Yang, Shuzhen Wang, Kaihao Zhang, Xiaochun Cao, Haifeng Shen
    http://arxiv.org/abs/2008.08767v1

    • [eess.IV]Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior
    Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier
    http://arxiv.org/abs/2008.08837v1

    • [hep-ph]Linearized Optimal Transport for Collider Events
    Tianji Cai, Junyi Cheng, Katy Craig, Nathaniel Craig
    http://arxiv.org/abs/2008.08604v1

    • [math.CO]On transversality of bent hyperplane arrangements and the topological expressiveness of ReLU neural networks
    J. Elisenda Grigsby, Kathryn Lindsey
    http://arxiv.org/abs/2008.09052v1

    • [math.FA]Sparse phase retrieval via Phaseliftoff
    Yu Xia, Zhiqiang Xu
    http://arxiv.org/abs/2008.09032v1

    • [math.OC]An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization
    Deyi Liu, Lam M. Nguyen, Quoc Tran-Dinh
    http://arxiv.org/abs/2008.09055v1

    • [math.OC]Markov Chain-Based Stochastic Strategies for Robotic Surveillance
    Xiaoming Duan, Francesco Bullo
    http://arxiv.org/abs/2008.09050v1

    • [math.PR]Generalizing the de Finetti—Hewitt—Savage theorem
    Irfan Alam
    http://arxiv.org/abs/2008.08754v1

    • [math.ST]Cumulative Residual Extropy of Minimum Ranked Set Sampling with Unequal Samples
    Mohammad Reza Kazemia, Saeid Tahmasebib, Camilla Calì, Maria Longobardi
    http://arxiv.org/abs/2008.08990v1

    • [math.ST]Simple Analysis of Johnson-Lindenstrauss Transform under Neuroscience Constraints
    Maciej Skorski
    http://arxiv.org/abs/2008.08857v1

    • [math.ST]Strong consistent model selection for general causal time series
    William Kengne
    http://arxiv.org/abs/2008.08778v1

    • [physics.med-ph]iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry
    Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William P. Segars, Ehsan Samei
    http://arxiv.org/abs/2008.08730v1

    • [q-bio.BM]Generative chemistry: drug discovery with deep learning generative models
    Yuemin Bian, Xiang-Qun Xie
    http://arxiv.org/abs/2008.09000v1

    • [q-fin.RM]Optimal Network Compression
    Hamed Amini, Zachary Feinstein
    http://arxiv.org/abs/2008.08733v1

    • [quant-ph]Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor
    K. Craigie, E. M. Gauger, Y. Altmann, C. Bonato
    http://arxiv.org/abs/2008.08891v1

    • [quant-ph]The effect of data encoding on the expressive power of variational quantum machine learning models
    Maria Schuld, Ryan Sweke, Johannes Jakob Meyer
    http://arxiv.org/abs/2008.08605v1

    • [stat.AP]Effect of COVID-19 on noise pollution change in Dublin, Ireland
    Bidroha Basu, Enda Murphy, Anna Molter, Arunima Sarkar Basu, Srikanta Sannigrahi, Miguel Belmonte, Francesco Pilla
    http://arxiv.org/abs/2008.08993v1

    • [stat.ME]Cluster-Adaptive Network A/B Testing: From Randomization to Estimation
    Yifan Zhou, Yang Liu, Ping Li, Feifang Hu
    http://arxiv.org/abs/2008.08648v1

    • [stat.ME]Exact Tests for Offline Changepoint Detection in Multichannel Binary and Count Data with Application to Networks
    Shyamal K. De, Soumendu Sundar Mukherjee
    http://arxiv.org/abs/2008.09083v1

    • [stat.ME]Functional Data Analysis with Causation in Observational Studies: Covariate Balancing Functional Propensity Score for Functional Treatments
    Xiaoke Zhang, Wu Xue, Qiyue Wang
    http://arxiv.org/abs/2008.08741v1

    • [stat.ME]Maximum likelihood estimation of parameters of spherical particle size distributions from profile size measurements and its application for small samples
    Ekaterina Poliakova
    http://arxiv.org/abs/2008.09091v1

    • [stat.ME]Unified Rules of Renewable Weighted Sums for Various Online Updating Estimations
    Lu Lin, Weiyu Li, Jun Lu
    http://arxiv.org/abs/2008.08824v1

    • [stat.ME]Varying-coefficient stochastic differential equations with applications in ecology
    Théo Michelot, Richard Glennie, Catriona Harris, Len Thomas
    http://arxiv.org/abs/2008.09111v1

    • [stat.ML]Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature
    Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam
    http://arxiv.org/abs/2008.08818v1

    • [stat.ML]LOCUS: A Novel Decomposition Method for Brain Network Connectivity Matrices using Low-rank Structure with Uniform Sparsity
    Yikai Wang, Ying Guo
    http://arxiv.org/abs/2008.08915v1

    • [stat.ML]Minimum discrepancy principle strategy for choosing $k$ in $k$-NN regression
    Yaroslav Averyanov, Alain Celisse
    http://arxiv.org/abs/2008.08718v1

    • [stat.ML]On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
    Xu Cai, Jonathan Scarlett
    http://arxiv.org/abs/2008.08757v1

    • [stat.ML]SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
    Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu
    http://arxiv.org/abs/2008.08637v1