astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.ET - 新兴技术 cs.GR - 计算机图形学 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.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nucl-th - 核理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Genetic Algorithms for Starshade Retargeting in Space-Based Telescopes
    • [astro-ph.IM]deepCR: Cosmic Ray Rejection with Deep Learning
    • [cs.AI]About epistemic negation and world views in Epistemic Logic Programs
    • [cs.AI]Beyond NP: Quantifying over Answer Sets
    • [cs.AI]E-HBA: Using Action Policies for Expert Advice and Agent Typification
    • [cs.AI]Heuristic solutions to robust variants of the minimum-cost integer flow problem
    • [cs.AI]On the Equivalence Between Abstract Dialectical Frameworks and Logic Programs
    • [cs.AI]The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving
    • [cs.CL]Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
    • [cs.CL]EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification
    • [cs.CL]Happiness Entailment: Automating Suggestions for Well-Being
    • [cs.CL]Learning to Select, Track, and Generate for Data-to-Text
    • [cs.CL]Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast
    • [cs.CL]Modeling question asking using neural program generation
    • [cs.CL]On Modeling ASR Word Confidence
    • [cs.CL]Overview and Results: CL-SciSumm Shared Task 2019
    • [cs.CL]Position Focused Attention Network for Image-Text Matching
    • [cs.CL]Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
    • [cs.CL]Structured Fusion Networks for Dialog
    • [cs.CL]Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus
    • [cs.CV]2D-CTC for Scene Text Recognition
    • [cs.CV]A-MAL: Automatic Motion Assessment Learning from Properly Performed Motions in 3D Skeleton Videos
    • [cs.CV]Adaptive Compression-based Lifelong Learning
    • [cs.CV]An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data
    • [cs.CV]Automatic detection of multiple pathologies in fundus photographs using spin-off learning
    • [cs.CV]BMN: Boundary-Matching Network for Temporal Action Proposal Generation
    • [cs.CV]Bayesian Zero-Shot Learning
    • [cs.CV]Canonical Surface Mapping via Geometric Cycle Consistency
    • [cs.CV]ChromaGAN: An Adversarial Approach for Picture Colorization
    • [cs.CV]Compact Global Descriptor for Neural Networks
    • [cs.CV]Controlling biases and diversity in diverse image-to-image translation
    • [cs.CV]Deep Temporal Analysis for Non-Acted Body Affect Recognition
    • [cs.CV]Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
    • [cs.CV]Deformable Registration Using Average Geometric Transformations for Brain MR Images
    • [cs.CV]Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
    • [cs.CV]Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification
    • [cs.CV]Exploring Semantic Segmentation on the DCT Representation
    • [cs.CV]Few-shot Learning for Domain-specfic Fine-grained Image Classfication
    • [cs.CV]From Active Contours to Minimal Geodesic Paths: New Solutions to Active Contours Problems by Eikonal Equations
    • [cs.CV]GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
    • [cs.CV]Graph Reasoning Networks for Visual Question Answering
    • [cs.CV]Hallucinating Beyond Observation: Learning to Complete with Partial Observation and Unpaired Prior Knowledge
    • [cs.CV]Highlight Every Step: Knowledge Distillation via Collaborative Teaching
    • [cs.CV]Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
    • [cs.CV]Information-Bottleneck Approach to Salient Region Discovery
    • [cs.CV]Invertible Network for Classification and Biomarker Selection for ASD
    • [cs.CV]LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired
    • [cs.CV]Learning High-fidelity Light Field Images From Hybrid Inputs
    • [cs.CV]Make Skeleton-based Action Recognition Model Smaller, Faster and Better
    • [cs.CV]MixNet: Mixed Depthwise Convolutional Kernels
    • [cs.CV]NPSA: Nonorthogonal Principal Skewness Analysis
    • [cs.CV]Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM
    • [cs.CV]PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Atrous Convolution for Point Clouds
    • [cs.CV]Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning
    • [cs.CV]RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation
    • [cs.CV]Real-Time Correlation Tracking via Joint Model Compression and Transfer
    • [cs.CV]Shared Generative Latent Representation Learning for Multi-view Clustering
    • [cs.CV]Similarity-Preserving Knowledge Distillation
    • [cs.CV]Temporally Consistent Horizon Lines
    • [cs.CV]The Effect of Visual Design in Image Classification
    • [cs.CV]Trading via Image Classification
    • [cs.CV]U4D: Unsupervised 4D Dynamic Scene Understanding
    • [cs.CV]Universal Person Re-Identification
    • [cs.CV]xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera
    • [cs.CY]Computing Lens for Exploring the Historical People’s Social Network
    • [cs.DB]Association rule mining and itemset-correlation based variants
    • [cs.DC]A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures
    • [cs.DC]Using Model Checking to Formally Verify Rendezvous Algorithms for Robots with Lights in Euclidean Space
    • [cs.ET]Non-Spike Timing-Dependent Plasticity based Unsupervised Memristive Neural Networks with High Hardware Compatibility
    • [cs.GR]A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
    • [cs.GT]Low-Variance and Zero-Variance Baselines for Extensive-Form Games
    • [cs.HC]Eye-based Continuous Affect Prediction
    • [cs.HC]Speech, Head, and Eye-based Cues for Continuous Affect Prediction
    • [cs.IR]Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations
    • [cs.IT]Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation
    • [cs.IT]Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling with Haar Wavelet Basis
    • [cs.IT]Deep Learning Assisted User Identification in Massive Machine-Type Communications
    • [cs.IT]Federated Learning over Wireless Fading Channels
    • [cs.IT]Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks
    • [cs.IT]Multi-Layer Transformed MDS Codes with Optimal Repair Access and Low Sub-Packetization
    • [cs.IT]Non-Orthogonal Multiple Access (NOMA): How It Meets 5G and Beyond
    • [cs.IT]Some Results on Tighter Bayesian Lower Bounds on the Mean-Square Error
    • [cs.IT]Steganography Protocols for Quantum Channels
    • [cs.IT]Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes
    • [cs.LG]A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce
    • [cs.LG]Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
    • [cs.LG]Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
    • [cs.LG]BEHRT: Transformer for Electronic Health Records
    • [cs.LG]BIM: Towards Quantitative Evaluation of Interpretability Methods with Ground Truth
    • [cs.LG]Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients
    • [cs.LG]Characterizing Attacks on Deep Reinforcement Learning
    • [cs.LG]Convolutional Dictionary Learning in Hierarchical Networks
    • [cs.LG]Decentralized Stochastic First-Order Methods for Large-scale Machine Learning
    • [cs.LG]Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
    • [cs.LG]Design of one-year mortality forecast at hospital admission based: a machine learning approach
    • [cs.LG]Doubly robust off-policy evaluation with shrinkage
    • [cs.LG]Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center
    • [cs.LG]Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
    • [cs.LG]Incremental and Decremental Fuzzy Bounded Twin Support Vector Machine
    • [cs.LG]Interpretable and Steerable Sequence Learning via Prototypes
    • [cs.LG]IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
    • [cs.LG]MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
    • [cs.LG]Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
    • [cs.LG]Practical Newton-Type Distributed Learning using Gradient Based Approximations
    • [cs.LG]Relational Generalized Few-Shot Learning
    • [cs.LG]Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices
    • [cs.LG]Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space
    • [cs.LG]Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks
    • [cs.LG]Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
    • [cs.LG]Trainability and Data-dependent Initialization of Over-parameterized ReLU Neural Networks
    • [cs.LG]Variance Reduction in Actor Critic Methods (ACM)
    • [cs.LO]Better Paracoherent Answer Sets with Less Resources
    • [cs.NE]A Simple Yet Effective Approach to Robust Optimization Over Time
    • [cs.NE]Metalearned Neural Memory
    • [cs.RO]An extended framework for characterizing social robots
    • [cs.RO]Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation
    • [cs.RO]Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture
    • [cs.RO]Differentiable Gaussian Process Motion Planning
    • [cs.RO]Floating Displacement-Force Conversion Mechanism as a Robotic Mechanism
    • [cs.RO]Grasping Using Tactile Sensing and Deep Calibration
    • [cs.RO]Hidden Markov Models derived from Behavior Trees
    • [cs.RO]LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
    • [cs.RO]Multilevel Monte-Carlo for Solving POMDPs Online
    • [cs.RO]Multisensory Learning Framework for Robot Drumming
    • [cs.RO]Towards Courteous Behavior and Trajectory Planning for Automated Driving
    • [cs.SD]Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
    • [cs.SI]Efficient Approximation Algorithms for Adaptive Seed Minimization
    • [cs.SI]Understanding the Political Ideology of Legislators from Social Media Images
    • [eess.IV]Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
    • [eess.IV]Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
    • [eess.IV]Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach
    • [eess.IV]Variational Registration of Multiple Images with the SVD based SqN Distance Measure
    • [eess.IV]Whole-Sample Mapping of Cancerous and Benign Tissue Properties
    • [eess.SP]A Hardware-Efficient ADMM-Based SVM Training Algorithm for Edge Computing
    • [eess.SP]A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels
    • [eess.SP]An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques
    • [math.OC]Heavy-ball Algorithms Always Escape Saddle Points
    • [math.OC]Stochastic algorithms with geometric step decay converge linearly on sharp functions
    • [math.PR]Stochastic Tverberg theorems and their applications in multi-class logistic regression, data separability, and centerpoints of data
    • [math.ST]Asymptotic normality, concentration, and coverage of generalized posteriors
    • [math.ST]Consistent model selection criteria and goodness-of-fit test for affine causal processes
    • [math.ST]Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets with Many Locations
    • [math.ST]Minimax rates in sparse, high-dimensional changepoint detection
    • [math.ST]Multiple block sizes and overlapping blocks for multivariate time series extremes
    • [nucl-th]Trees and Islands — Machine learning approach to nuclear physics
    • [physics.soc-ph]Fundamental Structures in Dynamic Communication Networks
    • [q-bio.NC]Temporal connection signatures of human brain networks after stroke
    • [stat.AP]An Investigation into Outlier Elimination and Calculation Methods in the Determination of Reference Intervals using Serum Immunoglobulin A as a Model Data Collection
    • [stat.AP]Bayesian inference for network Poisson models
    • [stat.AP]Coupling material and mechanical design processes via computer model calibration
    • [stat.AP]The effect of short-term exposure to the natural environment on depressive mood: A systematic review and meta-analysis
    • [stat.CO]Efficient inference for stochastic differential mixed-effects models using correlated particle pseudo-marginal algorithms
    • [stat.ME]An ordinal measure of interrater absolute agreement
    • [stat.ME]Classification with the matrix-variate-$t$ distribution
    • [stat.ME]Doubts on the efficacy of outliers correction methods
    • [stat.ME]Factor Analysis for High-Dimensional Time Series with Change Point
    • [stat.ME]On estimation of the effect lag of predictors and prediction in functional linear model
    • [stat.ME]Postprocessing seasonal weather forecasts
    • [stat.ML]Bayesian Inference with Generative Adversarial Network Priors
    • [stat.ML]Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs
    • [stat.ML]Node Attribute Generation on Graphs
    • [stat.ML]Off-policy Learning for Multiple Loggers
    • [stat.ML]VARENN: Graphical representation of spatiotemporal data and application to climate studies

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    • [astro-ph.IM]Genetic Algorithms for Starshade Retargeting in Space-Based Telescopes
    Ho Chit Siu, Victor Pankratius
    http://arxiv.org/abs/1907.09789v1

    • [astro-ph.IM]deepCR: Cosmic Ray Rejection with Deep Learning
    Keming Zhang, Joshua S. Bloom
    http://arxiv.org/abs/1907.09500v1

    • [cs.AI]About epistemic negation and world views in Epistemic Logic Programs
    Stefania Costantini
    http://arxiv.org/abs/1907.09867v1

    • [cs.AI]Beyond NP: Quantifying over Answer Sets
    Giovanni Amendola, Francesco Ricca, Mirek Truszczynski
    http://arxiv.org/abs/1907.09559v1

    • [cs.AI]E-HBA: Using Action Policies for Expert Advice and Agent Typification
    Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
    http://arxiv.org/abs/1907.09810v1

    • [cs.AI]Heuristic solutions to robust variants of the minimum-cost integer flow problem
    Marko Špoljarec, Robert Manger
    http://arxiv.org/abs/1907.09468v1

    • [cs.AI]On the Equivalence Between Abstract Dialectical Frameworks and Logic Programs
    João Alcântara, Samy Sá, Juan Acosta-Guadarrama
    http://arxiv.org/abs/1907.09548v1

    • [cs.AI]The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving
    Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
    http://arxiv.org/abs/1907.09620v1

    • [cs.CL]Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
    Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He
    http://arxiv.org/abs/1907.09692v1

    • [cs.CL]EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification
    Linkai Luo, Yue Wang
    http://arxiv.org/abs/1907.09669v1

    • [cs.CL]Happiness Entailment: Automating Suggestions for Well-Being
    Sara Evensen, Yoshihiko Suhara, Alon Halevy, Vivian Li, Wang-Chiew Tan, Saran Mumick
    http://arxiv.org/abs/1907.10036v1

    • [cs.CL]Learning to Select, Track, and Generate for Data-to-Text
    Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura
    http://arxiv.org/abs/1907.09699v1

    • [cs.CL]Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast
    Vrindavan Harrison, Lena Reed, Shereen Oraby, Marilyn Walker
    http://arxiv.org/abs/1907.09527v1

    • [cs.CL]Modeling question asking using neural program generation
    Ziyun Wang, Brenden M. Lake
    http://arxiv.org/abs/1907.09899v1

    • [cs.CL]On Modeling ASR Word Confidence
    Woojay Jeon, Maxwell Jordan, Mahesh Krishnamoorthy
    http://arxiv.org/abs/1907.09636v1

    • [cs.CL]Overview and Results: CL-SciSumm Shared Task 2019
    Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir Radev, Dayne Freitag, Min-Yen Kan
    http://arxiv.org/abs/1907.09854v1

    • [cs.CL]Position Focused Attention Network for Image-Text Matching
    Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan
    http://arxiv.org/abs/1907.09748v1

    • [cs.CL]Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
    David Gaddy, Dan Klein
    http://arxiv.org/abs/1907.09671v1

    • [cs.CL]Structured Fusion Networks for Dialog
    Shikib Mehri, Tejas Srinivasan, Maxine Eskenazi
    http://arxiv.org/abs/1907.10016v1

    • [cs.CL]Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus
    Satoru Katsumata, Mamoru Komachi
    http://arxiv.org/abs/1907.09724v1

    • [cs.CV]2D-CTC for Scene Text Recognition
    Zhaoyi Wan, Fengming Xie, Yibo Liu, Xiang Bai, Cong Yao
    http://arxiv.org/abs/1907.09705v1

    • [cs.CV]A-MAL: Automatic Motion Assessment Learning from Properly Performed Motions in 3D Skeleton Videos
    Tal Hakim, Ilan Shimshoni
    http://arxiv.org/abs/1907.10004v1

    • [cs.CV]Adaptive Compression-based Lifelong Learning
    Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia
    http://arxiv.org/abs/1907.09695v1

    • [cs.CV]An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data
    Zhongming Xiang, Abbas Rashidi, Ge, Ou
    http://arxiv.org/abs/1907.09997v1

    • [cs.CV]Automatic detection of multiple pathologies in fundus photographs using spin-off learning
    Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
    http://arxiv.org/abs/1907.09449v2

    • [cs.CV]BMN: Boundary-Matching Network for Temporal Action Proposal Generation
    Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen
    http://arxiv.org/abs/1907.09702v1

    • [cs.CV]Bayesian Zero-Shot Learning
    Sarkhan Badirli, Murat Dundar, Zeynep Akata
    http://arxiv.org/abs/1907.09624v1

    • [cs.CV]Canonical Surface Mapping via Geometric Cycle Consistency
    Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani
    http://arxiv.org/abs/1907.10043v1

    • [cs.CV]ChromaGAN: An Adversarial Approach for Picture Colorization
    Patricia Vitoria, Lara Raad, Coloma Ballester
    http://arxiv.org/abs/1907.09837v1

    • [cs.CV]Compact Global Descriptor for Neural Networks
    Xiangyu He, Ke Cheng, Qiang Chen, Qinghao Hu, Peisong Wang, Jian Cheng
    http://arxiv.org/abs/1907.09665v1

    • [cs.CV]Controlling biases and diversity in diverse image-to-image translation
    Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz
    http://arxiv.org/abs/1907.09754v1

    • [cs.CV]Deep Temporal Analysis for Non-Acted Body Affect Recognition
    Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Cristiano Massaroni
    http://arxiv.org/abs/1907.09945v1

    • [cs.CV]Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
    Lan Hu, Wanting Xu, Kun Huang, Laurent Kneip
    http://arxiv.org/abs/1907.09691v1

    • [cs.CV]Deformable Registration Using Average Geometric Transformations for Brain MR Images
    Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan
    http://arxiv.org/abs/1907.09670v1

    • [cs.CV]Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
    Lucas Tabelini Torres, Thiago M. Paixão, Rodrigo F. Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos
    http://arxiv.org/abs/1907.09679v1

    • [cs.CV]Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification
    Haijun Liu, Jian Cheng
    http://arxiv.org/abs/1907.09659v1

    • [cs.CV]Exploring Semantic Segmentation on the DCT Representation
    Shao-Yuan Lo, Hsueh-Ming Hang
    http://arxiv.org/abs/1907.10015v1

    • [cs.CV]Few-shot Learning for Domain-specfic Fine-grained Image Classfication
    Xin Sun, Hongwei Xv, Junyu Dong, Qiong Li, Changrui Chen
    http://arxiv.org/abs/1907.09647v1

    • [cs.CV]From Active Contours to Minimal Geodesic Paths: New Solutions to Active Contours Problems by Eikonal Equations
    Da Chen, Laurent D. Cohen
    http://arxiv.org/abs/1907.09828v1

    • [cs.CV]GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
    Fangneng Zhan, Chuhui Xue, Shijian Lu
    http://arxiv.org/abs/1907.09653v1

    • [cs.CV]Graph Reasoning Networks for Visual Question Answering
    Dalu Guo, Chang Xu, Dacheng Tao
    http://arxiv.org/abs/1907.09815v1

    • [cs.CV]Hallucinating Beyond Observation: Learning to Complete with Partial Observation and Unpaired Prior Knowledge
    Chenyang Lu, Gijs Dubbelman
    http://arxiv.org/abs/1907.09786v1

    • [cs.CV]Highlight Every Step: Knowledge Distillation via Collaborative Teaching
    Haoran Zhao, Xin Sun, Junyu Dong, Changrui Chen, Zihe Dong
    http://arxiv.org/abs/1907.09643v1

    • [cs.CV]Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
    Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani
    http://arxiv.org/abs/1907.10008v1

    • [cs.CV]Information-Bottleneck Approach to Salient Region Discovery
    Andrey Zhmoginov, Ian Fischer, Mark Sandler
    http://arxiv.org/abs/1907.09578v1

    • [cs.CV]Invertible Network for Classification and Biomarker Selection for ASD
    Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
    http://arxiv.org/abs/1907.09729v1

    • [cs.CV]LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired
    Samuel Yu, Heon Lee, John Kim
    http://arxiv.org/abs/1907.09706v1

    • [cs.CV]Learning High-fidelity Light Field Images From Hybrid Inputs
    Jing Jin, Junhui Hou, Jie Chen, Sam Kwong, Jingyi Yu
    http://arxiv.org/abs/1907.09640v1

    • [cs.CV]Make Skeleton-based Action Recognition Model Smaller, Faster and Better
    Fan Yang, Sakriani Sakti, Yang Wu, Satoshi Nakamura
    http://arxiv.org/abs/1907.09658v1

    • [cs.CV]MixNet: Mixed Depthwise Convolutional Kernels
    Mingxing Tan, Quoc V. Le
    http://arxiv.org/abs/1907.09595v1

    • [cs.CV]NPSA: Nonorthogonal Principal Skewness Analysis
    Xiurui Geng, Lei Wang
    http://arxiv.org/abs/1907.09811v1

    • [cs.CV]Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM
    Hyeonwoo Yu, Beomhee Lee
    http://arxiv.org/abs/1907.09760v1

    • [cs.CV]PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Atrous Convolution for Point Clouds
    Liang Pan, Chee-Meng Chew, Gim Hee Lee
    http://arxiv.org/abs/1907.09798v1

    • [cs.CV]Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning
    Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan Turaga
    http://arxiv.org/abs/1907.09554v1

    • [cs.CV]RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation
    Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim
    http://arxiv.org/abs/1907.09707v1

    • [cs.CV]Real-Time Correlation Tracking via Joint Model Compression and Transfer
    Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Houqiang Li
    http://arxiv.org/abs/1907.09831v1

    • [cs.CV]Shared Generative Latent Representation Learning for Multi-view Clustering
    Ming Yin, Weitian Huang, Junbin Gao
    http://arxiv.org/abs/1907.09747v1

    • [cs.CV]Similarity-Preserving Knowledge Distillation
    Frederick Tung, Greg Mori
    http://arxiv.org/abs/1907.09682v1

    • [cs.CV]Temporally Consistent Horizon Lines
    Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
    http://arxiv.org/abs/1907.10014v1

    • [cs.CV]The Effect of Visual Design in Image Classification
    Naftali Cohen, Tucker Balch, Manuela Veloso
    http://arxiv.org/abs/1907.09567v1

    • [cs.CV]Trading via Image Classification
    Naftali Cohen, Tucker Balch, Manuela Veloso
    http://arxiv.org/abs/1907.10046v1

    • [cs.CV]U4D: Unsupervised 4D Dynamic Scene Understanding
    Armin Mustafa, Chris Russell, Adrian Hilton
    http://arxiv.org/abs/1907.09905v1

    • [cs.CV]Universal Person Re-Identification
    Xu Lan, Xiatian Zhu, Shaogang Gong
    http://arxiv.org/abs/1907.09511v1

    • [cs.CV]xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera
    Denis Tome, Patrick Peluse, Lourdes Agapito, Hernan Badino
    http://arxiv.org/abs/1907.10045v1

    • [cs.CY]Computing Lens for Exploring the Historical People’s Social Network
    Junjie Huang, Tiejian Luo
    http://arxiv.org/abs/1907.09745v1

    • [cs.DB]Association rule mining and itemset-correlation based variants
    Niels Mündler
    http://arxiv.org/abs/1907.09535v1

    • [cs.DC]A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures
    Ancy Sarah Tom, George Karypis
    http://arxiv.org/abs/1907.09575v1

    • [cs.DC]Using Model Checking to Formally Verify Rendezvous Algorithms for Robots with Lights in Euclidean Space
    Xavier Défago, Adam Heriban, Sébastien Tixeuil, Koichi Wada
    http://arxiv.org/abs/1907.09871v1

    • [cs.ET]Non-Spike Timing-Dependent Plasticity based Unsupervised Memristive Neural Networks with High Hardware Compatibility
    Zhiri Tang, Yanhua Chen, Hao Wang, Jin He, Qijun Huang, Sheng Chang
    http://arxiv.org/abs/1907.09126v2

    • [cs.GR]A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
    Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid
    http://arxiv.org/abs/1907.09642v1

    • [cs.GT]Low-Variance and Zero-Variance Baselines for Extensive-Form Games
    Trevor Davis, Martin Schmid, Michael Bowling
    http://arxiv.org/abs/1907.09633v1

    • [cs.HC]Eye-based Continuous Affect Prediction
    Jonny O’Dwyer, Niall Murray, Ronan Flynn
    http://arxiv.org/abs/1907.09896v1

    • [cs.HC]Speech, Head, and Eye-based Cues for Continuous Affect Prediction
    Jonny O’Dwyer
    http://arxiv.org/abs/1907.09919v1

    • [cs.IR]Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations
    Dominik Kowald, Elisabeth Lex, Markus Schedl
    http://arxiv.org/abs/1907.09781v1

    • [cs.IT]Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation
    Xiaojie Wang, Chulong Liang, Li Ping, Stephan ten Brink
    http://arxiv.org/abs/1907.09593v1

    • [cs.IT]Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling with Haar Wavelet Basis
    Amirafshar Moshtaghpour, José M. Bioucas Dias, Laurent Jacques
    http://arxiv.org/abs/1907.09795v1

    • [cs.IT]Deep Learning Assisted User Identification in Massive Machine-Type Communications
    Bryan Liu, Zhiqiang Wei, Jinhong Yuan, Milutin Pajovic
    http://arxiv.org/abs/1907.09735v1

    • [cs.IT]Federated Learning over Wireless Fading Channels
    Mohammad Mohammadi Amiri, Deniz Gunduz
    http://arxiv.org/abs/1907.09769v1

    • [cs.IT]Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks
    Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor
    http://arxiv.org/abs/1907.09674v1

    • [cs.IT]Multi-Layer Transformed MDS Codes with Optimal Repair Access and Low Sub-Packetization
    Hanxu Hou, Patrick P. C. Lee, Yunghsiang S. Han
    http://arxiv.org/abs/1907.08938v2

    • [cs.IT]Non-Orthogonal Multiple Access (NOMA): How It Meets 5G and Beyond
    S. M. Riazul Islam, Ming Zeng, Octavia A. Dobre, Kyung-Sup Kwak
    http://arxiv.org/abs/1907.10001v1

    • [cs.IT]Some Results on Tighter Bayesian Lower Bounds on the Mean-Square Error
    Lucien Bacharach, Carsten Fritsche, Umut Orguner, Eric Chaumette
    http://arxiv.org/abs/1907.09509v1

    • [cs.IT]Steganography Protocols for Quantum Channels
    Mehrdad Tahmasbi, Matthieu Bloch
    http://arxiv.org/abs/1907.09602v1

    • [cs.IT]Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes
    Anu Jagannath, Jithin Jagannath, Andrew Drozd
    http://arxiv.org/abs/1907.09545v1

    • [cs.LG]A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce
    Abdul-Saboor Sheikh, Romain Guigoures, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann
    http://arxiv.org/abs/1907.09844v1

    • [cs.LG]Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
    Junghee Cho, Junseok Kwon, Byung-Woo Hong
    http://arxiv.org/abs/1907.09750v1

    • [cs.LG]Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
    Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
    http://arxiv.org/abs/1907.08971v2

    • [cs.LG]BEHRT: Transformer for Electronic Health Records
    Yikuan Li, Shishir Rao, Jose Roberto Ayala Solares, Abdelaali Hassaine, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi-Khorshidi
    http://arxiv.org/abs/1907.09538v1

    • [cs.LG]BIM: Towards Quantitative Evaluation of Interpretability Methods with Ground Truth
    Mengjiao Yang, Been Kim
    http://arxiv.org/abs/1907.09701v1

    • [cs.LG]Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients
    Zhenwei Dai, Reinhard Heckel
    http://arxiv.org/abs/1907.09539v1

    • [cs.LG]Characterizing Attacks on Deep Reinforcement Learning
    Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Bo Li, Dawn Song
    http://arxiv.org/abs/1907.09470v1

    • [cs.LG]Convolutional Dictionary Learning in Hierarchical Networks
    Javier Zazo, Bahareh Tolooshams, Demba Ba
    http://arxiv.org/abs/1907.09881v1

    • [cs.LG]Decentralized Stochastic First-Order Methods for Large-scale Machine Learning
    Ran Xin, Soummya Kar, Usman A. Khan
    http://arxiv.org/abs/1907.09648v1

    • [cs.LG]Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
    Siqi Liu, Kee Yuan Ngiam, Mengling Feng
    http://arxiv.org/abs/1907.09475v1

    • [cs.LG]Design of one-year mortality forecast at hospital admission based: a machine learning approach
    Vicent Blanes-Selva, Vicente Ruiz-García, Salvador Tortajada, José-Miguel Benedí, Bernardo Valdivieso, Juan M. García-Gómez
    http://arxiv.org/abs/1907.09474v1

    • [cs.LG]Doubly robust off-policy evaluation with shrinkage
    Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík
    http://arxiv.org/abs/1907.09623v1

    • [cs.LG]Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center
    Lorenzo A. Rossi, Chad Shawber, Janet Munu, Finly Zachariah
    http://arxiv.org/abs/1907.09600v1

    • [cs.LG]Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
    Qinbin Li, Zeyi Wen, Bingsheng He
    http://arxiv.org/abs/1907.09693v1

    • [cs.LG]Incremental and Decremental Fuzzy Bounded Twin Support Vector Machine
    Alexandre Reeberg de Mello, Marcelo Ricardo Stemmer, Alessandro Lameiras Koerich
    http://arxiv.org/abs/1907.09613v1

    • [cs.LG]Interpretable and Steerable Sequence Learning via Prototypes
    Yao Ming, Panpan Xu, Huamin Qu, Liu Ren
    http://arxiv.org/abs/1907.09728v1

    • [cs.LG]IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
    Lin Meng, Jiawei Zhang
    http://arxiv.org/abs/1907.09495v1

    • [cs.LG]MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
    Peiye Liu, Bo Wu, Huadong Ma, Pavan Kumar Chundi, Mingoo Seok
    http://arxiv.org/abs/1907.09569v1

    • [cs.LG]Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
    Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou
    http://arxiv.org/abs/1907.09471v1

    • [cs.LG]Practical Newton-Type Distributed Learning using Gradient Based Approximations
    Samira Sheikhi
    http://arxiv.org/abs/1907.09562v1

    • [cs.LG]Relational Generalized Few-Shot Learning
    Xiahan Shi, Leonard Salewski, Martin Schiegg, Zeynep Akata, Max Welling
    http://arxiv.org/abs/1907.09557v1

    • [cs.LG]Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices
    Fatemeh Hadaeghi
    http://arxiv.org/abs/1907.09504v1

    • [cs.LG]Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space
    Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang
    http://arxiv.org/abs/1907.09607v1

    • [cs.LG]Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks
    Adrian Albert, Jasleen Kaur, Emanuele Strano, Marta Gonzalez
    http://arxiv.org/abs/1907.09543v1

    • [cs.LG]Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
    Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh
    http://arxiv.org/abs/1907.09615v1

    • [cs.LG]Trainability and Data-dependent Initialization of Over-parameterized ReLU Neural Networks
    Yeonjong Shin, George Em Karniadakis
    http://arxiv.org/abs/1907.09696v1

    • [cs.LG]Variance Reduction in Actor Critic Methods (ACM)
    Eric Benhamou
    http://arxiv.org/abs/1907.09765v1

    • [cs.LO]Better Paracoherent Answer Sets with Less Resources
    Giovanni Amendola, Carmine Dodaro, Francesco Ricca
    http://arxiv.org/abs/1907.09560v1

    • [cs.NE]A Simple Yet Effective Approach to Robust Optimization Over Time
    Lukáš Adam, Xin Yao
    http://arxiv.org/abs/1907.09248v2

    • [cs.NE]Metalearned Neural Memory
    Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
    http://arxiv.org/abs/1907.09720v1

    • [cs.RO]An extended framework for characterizing social robots
    Kim Baraka, Patrícia Alves-Oliveira, Tiago Ribeiro
    http://arxiv.org/abs/1907.09873v1

    • [cs.RO]Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation
    Arash S. Amjadi, Mohsen Raoufi, Ali E. Turgut, George Broughton, Tomáš Krajník, Farshad Arvin
    http://arxiv.org/abs/1907.09585v1

    • [cs.RO]Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture
    Francisco Eiras, Morteza Lahijanian, Marta Kwiatkowska
    http://arxiv.org/abs/1907.09603v1

    • [cs.RO]Differentiable Gaussian Process Motion Planning
    Mohak Bhardwaj, Byron Boots, Mustafa Mukadam
    http://arxiv.org/abs/1907.09591v1

    • [cs.RO]Floating Displacement-Force Conversion Mechanism as a Robotic Mechanism
    Kenjiro Tadakuma, Tori Shimizu, Sosuke Hayashi, Eri Takane, Masahiro Watanabe, Masashi Konyo, Satoshi Tadokoro
    http://arxiv.org/abs/1907.09955v1

    • [cs.RO]Grasping Using Tactile Sensing and Deep Calibration
    Masoud Baghbahari, Aman Behal
    http://arxiv.org/abs/1907.09656v1

    • [cs.RO]Hidden Markov Models derived from Behavior Trees
    Blake Hannaford
    http://arxiv.org/abs/1907.10029v1

    • [cs.RO]LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
    Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
    http://arxiv.org/abs/1907.09574v1

    • [cs.RO]Multilevel Monte-Carlo for Solving POMDPs Online
    Marcus Hoerger, Hanna Kurniawati, Alberto Elfes
    http://arxiv.org/abs/1907.09673v1

    • [cs.RO]Multisensory Learning Framework for Robot Drumming
    A. Barsky, C. Zito, H. Mori, T. Ogata, J. L. Wyatt
    http://arxiv.org/abs/1907.09775v1

    • [cs.RO]Towards Courteous Behavior and Trajectory Planning for Automated Driving
    Oliver Speidel, Maximilian Graf, Thanh Phan-Huu, Klaus Dietmayer
    http://arxiv.org/abs/1907.09825v1

    • [cs.SD]Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
    Cunhang Fan, Bin Liu, Jianhua Tao, Jiangyan Yi, Zhengqi Wen
    http://arxiv.org/abs/1907.09884v1

    • [cs.SI]Efficient Approximation Algorithms for Adaptive Seed Minimization
    Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim
    http://arxiv.org/abs/1907.09668v1

    • [cs.SI]Understanding the Political Ideology of Legislators from Social Media Images
    Nan Xi, Di Ma, Marcus Liou, Zachary C. Steinert-Threlkeld, Jason Anastasopoulos, Jungseock Joo
    http://arxiv.org/abs/1907.09594v1

    • [eess.IV]Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
    Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David Snead, Nasir M. Rajpoot
    http://arxiv.org/abs/1907.09478v1

    • [eess.IV]Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
    Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen Petersen, Wenjia Bai, Daniel Rueckert
    http://arxiv.org/abs/1907.09983v1

    • [eess.IV]Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach
    Hongming Shan, Ge Wang, Yang Yang
    http://arxiv.org/abs/1907.09951v1

    • [eess.IV]Variational Registration of Multiple Images with the SVD based SqN Distance Measure
    Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann, Jan Modersitzki
    http://arxiv.org/abs/1907.09732v1

    • [eess.IV]Whole-Sample Mapping of Cancerous and Benign Tissue Properties
    Lydia Neary-Zajiczek, Clara Essmann, Neil Clancy, Aiman Haider, Elena Miranda, Michael Shaw, Amir Gander, Brian Davidson, Delmiro Fernandez-Reyes, Vijay Pawar, Danail Stoyanov
    http://arxiv.org/abs/1907.09974v1

    • [eess.SP]A Hardware-Efficient ADMM-Based SVM Training Algorithm for Edge Computing
    Shuo-An Huang, Chia-Hsiang Yang
    http://arxiv.org/abs/1907.09916v1

    • [eess.SP]A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels
    Rui Zhang, Peng Cheng, Zhuo Chen, Yonghui Li, Branka Vucetic
    http://arxiv.org/abs/1907.09949v1

    • [eess.SP]An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques
    Mingjin Wang, Feifei Gao, Shi Jin, Hai Lin
    http://arxiv.org/abs/1907.09944v1

    • [math.OC]Heavy-ball Algorithms Always Escape Saddle Points
    Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou
    http://arxiv.org/abs/1907.09697v1

    • [math.OC]Stochastic algorithms with geometric step decay converge linearly on sharp functions
    Damek Davis, Dmitriy Drusvyatskiy, Vasileios Charisopoulos
    http://arxiv.org/abs/1907.09547v1

    • [math.PR]Stochastic Tverberg theorems and their applications in multi-class logistic regression, data separability, and centerpoints of data
    Jesús A. De Loera, Thomas A. Hogan
    http://arxiv.org/abs/1907.09698v1

    • [math.ST]Asymptotic normality, concentration, and coverage of generalized posteriors
    Jeffrey W. Miller
    http://arxiv.org/abs/1907.09611v1

    • [math.ST]Consistent model selection criteria and goodness-of-fit test for affine causal processes
    Jean-Marc Bardet, Kare Kamila, William Kengne
    http://arxiv.org/abs/1907.09762v1

    • [math.ST]Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets with Many Locations
    Likun Zhang, Benjamin A. Shaby
    http://arxiv.org/abs/1907.09617v1

    • [math.ST]Minimax rates in sparse, high-dimensional changepoint detection
    Haoyang Liu, Chao Gao, Richard J. Samworth
    http://arxiv.org/abs/1907.10012v1

    • [math.ST]Multiple block sizes and overlapping blocks for multivariate time series extremes
    Nan Zou, Stanislav Volgushev, Axel Bücher
    http://arxiv.org/abs/1907.09477v1

    • [nucl-th]Trees and Islands — Machine learning approach to nuclear physics
    Nishchal R. Dwivedi
    http://arxiv.org/abs/1907.09764v1

    • [physics.soc-ph]Fundamental Structures in Dynamic Communication Networks
    Sune Lehmann
    http://arxiv.org/abs/1907.09966v1

    • [q-bio.NC]Temporal connection signatures of human brain networks after stroke
    Catalina Obando, Charlotte Rosso, Joshua Siegel, Maurizio Corbetta, Fabrizio De Vico Fallani
    http://arxiv.org/abs/1907.10009v1

    • [stat.AP]An Investigation into Outlier Elimination and Calculation Methods in the Determination of Reference Intervals using Serum Immunoglobulin A as a Model Data Collection
    Aidan Zellner, Alice M. Richardson, Brett A. Lidbury, Peter Hobson, Tony Badrick
    http://arxiv.org/abs/1907.09637v1

    • [stat.AP]Bayesian inference for network Poisson models
    Sophie Donnet, Stéphane Robin
    http://arxiv.org/abs/1907.09771v1

    • [stat.AP]Coupling material and mechanical design processes via computer model calibration
    Carl Ehrett, D. Andrew Brown, Evan Chodora, Christopher Kitchens, Sez Atamturktur
    http://arxiv.org/abs/1907.09553v1

    • [stat.AP]The effect of short-term exposure to the natural environment on depressive mood: A systematic review and meta-analysis
    Hannah Roberts, Caspar van Lissa, Paulien Hagedoorn, Ian Kellar, Marco Helbich
    http://arxiv.org/abs/1907.10013v1

    • [stat.CO]Efficient inference for stochastic differential mixed-effects models using correlated particle pseudo-marginal algorithms
    Samuel Wiqvist, Andrew Golightly, Ashleigh T. Mclean, Umberto Picchini
    http://arxiv.org/abs/1907.09851v1

    • [stat.ME]An ordinal measure of interrater absolute agreement
    Giuseppe Bove, Pier Luigi Conti, Daniela Marella
    http://arxiv.org/abs/1907.09756v1

    • [stat.ME]Classification with the matrix-variate-$t$ distribution
    Geoffrey Z. Thompson, Ranjan Maitra, William Q. Meeker, Ashraf Bastawros
    http://arxiv.org/abs/1907.09565v1

    • [stat.ME]Doubts on the efficacy of outliers correction methods
    Marjorie Fonnesu, Nicola Kuczewski
    http://arxiv.org/abs/1907.09864v1

    • [stat.ME]Factor Analysis for High-Dimensional Time Series with Change Point
    Xialu Liu, Ting Zhang
    http://arxiv.org/abs/1907.09522v1

    • [stat.ME]On estimation of the effect lag of predictors and prediction in functional linear model
    Haiyan Liu, Georgios Aivaliotis, Jeanine Houwing-Duistermaat
    http://arxiv.org/abs/1907.09808v1

    • [stat.ME]Postprocessing seasonal weather forecasts
    Claudio Heinrich, Kristoffer H. Hellton, Alex Lenkoski, Thordis L. Thorarinsdottir
    http://arxiv.org/abs/1907.09716v1

    • [stat.ML]Bayesian Inference with Generative Adversarial Network Priors
    Dhruv Patel, Assad A Oberai
    http://arxiv.org/abs/1907.09987v1

    • [stat.ML]Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs
    Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama
    http://arxiv.org/abs/1907.09588v1

    • [stat.ML]Node Attribute Generation on Graphs
    Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang
    http://arxiv.org/abs/1907.09708v1

    • [stat.ML]Off-policy Learning for Multiple Loggers
    Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin
    http://arxiv.org/abs/1907.09652v1

    • [stat.ML]VARENN: Graphical representation of spatiotemporal data and application to climate studies
    Takeshi Ise, Yurika Oba
    http://arxiv.org/abs/1907.09725v1