astro-ph.IM - 仪器仪表和天体物理学方法

    astro-ph.SR - 太阳和天体物理学恒星 cond-mat.mtrl-sci - 材料科学 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.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 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.MM - 多媒体 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 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.AS - 语音处理 math.CO - 组合数学 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-fin.CP -计算金融学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Convolutional neural networks: a magic bullet for gravitational-wave detection?
    • [astro-ph.SR]Damping of Propagating Kink Waves in the Solar Corona
    • [cond-mat.mtrl-sci]DScribe: Library of Descriptors for Machine Learning in Materials Science
    • [cs.AI]Improving Interactive Reinforcement Agent Planning with Human Demonstration
    • [cs.AI]Ontology-based Design of Experiments on Big Data Solutions
    • [cs.CL]Analytical Methods for Interpretable Ultradense Word Embeddings
    • [cs.CL]ConvLab: Multi-Domain End-to-End Dialog System Platform
    • [cs.CL]Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
    • [cs.CL]Headline Generation: Learning from Decomposed Document Titles
    • [cs.CL]Neural Constituency Parsing of Speech Transcripts
    • [cs.CL]One Homonym per Translation
    • [cs.CL]Recursive and Clause-Wise Decoding for Complex and Cross-Domain Text-to-SQL Generation
    • [cs.CL]Societal Controversies in Wikipedia Articles
    • [cs.CL]Towards VQA Models that can Read
    • cs.CVConstructing Bias on Skin Lesion Datasets
    • [cs.CV]2D Car Detection in Radar Data with PointNets
    • [cs.CV]4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
    • [cs.CV]A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
    • [cs.CV]A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods
    • [cs.CV]Aggregation Cross-Entropy for Sequence Recognition
    • [cs.CV]An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval
    • [cs.CV]Attentive Single-Tasking of Multiple Tasks
    • [cs.CV]Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
    • [cs.CV]CenterNet: Keypoint Triplets for Object Detection
    • [cs.CV]Client/Server Based Online Environment for Manual Segmentation of Medical Images
    • [cs.CV]Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons
    • [cs.CV]CornerNet-Lite: Efficient Keypoint Based Object Detection
    • [cs.CV]Coupled Learning for Facial Deblur
    • [cs.CV]DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
    • [cs.CV]DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation
    • [cs.CV]Deep Optics for Monocular Depth Estimation and 3D Object Detection
    • [cs.CV]Deep Rigid Instance Scene Flow
    • [cs.CV]DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation
    • [cs.CV]Discriminative Online Learning for Fast Video Object Segmentation
    • [cs.CV]Do Lateral Views Help Automated Chest X-ray Predictions?
    • [cs.CV]Early Detection of Injuries in MLB Pitchers from Video
    • [cs.CV]Enhanced Center Coding for Cell Detection with Convolutional Neural Networks
    • [cs.CV]Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training
    • [cs.CV]Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization
    • [cs.CV]Fast object detection in compressed JPEG Images
    • [cs.CV]Fooling automated surveillance cameras: adversarial patches to attack person detection
    • [cs.CV]Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations
    • [cs.CV]Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation
    • [cs.CV]Generative Model for Zero-Shot Sketch-Based Image Retrieval
    • [cs.CV]Global Hashing System for Fast Image Search
    • [cs.CV]Graph based Dynamic Segmentation of Generic Objects in 3D
    • [cs.CV]Image Resizing by Reconstruction from Deep Features
    • [cs.CV]KPConv: Flexible and Deformable Convolution for Point Clouds
    • [cs.CV]LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning
    • [cs.CV]Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
    • [cs.CV]Learning to Collocate Neural Modules for Image Captioning
    • [cs.CV]Material Segmentation of Multi-View Satellite Imagery
    • [cs.CV]Neural Painters: A learned differentiable constraint for generating brushstroke paintings
    • [cs.CV]No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement
    • [cs.CV]Online Adaptation through Meta-Learning for Stereo Depth Estimation
    • [cs.CV]Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
    • [cs.CV]Progressive Attention Memory Network for Movie Story Question Answering
    • [cs.CV]Real-Time Style Transfer With Strength Control
    • [cs.CV]Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
    • [cs.CV]SCE: A manifold regularized set-covering method for data partitioning
    • [cs.CV]Salient Object Detection: A Distinctive Feature Integration Model
    • [cs.CV]Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
    • [cs.CV]Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems
    • [cs.CV]Tex2Shape: Detailed Full Human Body Geometry from a Single Image
    • [cs.CV]Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
    • [cs.CV]Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
    • [cs.CV]Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
    • [cs.CY]Mobility profiles and calendars for food security and livelihoods analysis
    • [cs.DC]Investigating the Dirac operator evaluation with FPGAs
    • [cs.DC]Memory and Parallelism Analysis Using a Platform-Independent Approach
    • [cs.DC]Terra: Scalable Cross-Layer GDA Optimizations
    • [cs.GR]Deep Parametric Shape Predictions using Distance Fields
    • [cs.HC]Improving Usability, Efficiency, and Safety of UAV Path Planning through a Virtual Reality Interface
    • [cs.IR]A Progressive Visual Analytics Tool for Incremental Experimental Evaluation
    • [cs.IR]An Empirical Evaluation of Text Representation Schemes on Multilingual Social Web to Filter the Textual Aggression
    • [cs.IR]Creative Procedural-Knowledge Extraction From Web Design Tutorials
    • [cs.IR]Knowledge-rich Image Gist Understanding Beyond Literal Meaning
    • [cs.IR]Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search
    • [cs.IR]The Simplest Thing That Can Possibly Work: Pseudo-Relevance Feedback Using Text Classification
    • [cs.IR]Towards Open Intent Discovery for Conversational Text
    • [cs.IT]Decoding High-Order Interleaved Rank-Metric Codes
    • [cs.IT]Design of Communication Systems using Deep Learning: A Variational Inference Perspective
    • [cs.IT]Dynamic Binary Countdown for Massive IoT Random Access in Dense 5G Networks
    • [cs.IT]Hybrid MMSE Beamforming for Multiuser Millimeter Wave Communication Systems
    • [cs.IT]On The Classification-Distortion-Perception Tradeoff
    • [cs.IT]On the Scaling Exponent of Polar Codes with Product Kernels
    • [cs.IT]Per-link Reliability and Rate Control: Two Facets of the SIR Meta Distribution
    • [cs.IT]Weighted Lifted Codes: Local Correctabilities and Application to Robust Private Information Retrieval
    • [cs.LG]An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs
    • [cs.LG]Compositional Network Embedding
    • [cs.LG]Decoding Molecular Graph Embeddings with Reinforcement Learning
    • [cs.LG]Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning
    • [cs.LG]DeepNovoV2: Better de novo peptide sequencing with deep learning
    • [cs.LG]Defensive Quantization: When Efficiency Meets Robustness
    • [cs.LG]Disentangled Representation Learning with Information Maximizing Autoencoder
    • [cs.LG]Gotta Catch ‘Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks
    • [cs.LG]Inpatient2Vec: Medical Representation Learning for Inpatients
    • [cs.LG]Learning Interpretable Disentangled Representations using Adversarial VAEs
    • [cs.LG]Matrix Completion With Selective Sampling
    • [cs.LG]Memory-Sample Tradeoffs for Linear Regression with Small Error
    • [cs.LG]Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs
    • [cs.LG]Off-Policy Policy Gradient with State Distribution Correction
    • [cs.LG]On Low-rank Trace Regression under General Sampling Distribution
    • [cs.LG]One-dimensional Deep Image Prior for Time Series Inverse Problems
    • [cs.LG]Robust Exploration with Tight Bayesian Plausibility Sets
    • [cs.LG]Self-Attention Graph Pooling
    • [cs.LG]ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks
    • [cs.LG]edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
    • [cs.LO]Towards Evolutionary Theorem Proving for Isabelle/HOL
    • [cs.LO]True Parallel Graph Transformations: an Algebraic Approach Based on Weak Spans
    • [cs.MM]An efficient multi-language Video Search Engine to facilitate the HADJ and the UMRA
    • [cs.MM]Exquisitor: Interactive Learning at Large
    • [cs.NE]An Exponential Lower Bound for the Runtime of the cGA on Jump Functions
    • [cs.NE]Batch Tournament Selection for Genetic Programming
    • [cs.NE]Interplanetary Transfers via Deep Representations of the Optimal Policy and/or of the Value Function
    • [cs.NE]MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
    • [cs.NE]Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates
    • [cs.NE]On the validity of memristor modeling in the neural network literature
    • [cs.NE]Semantic variation operators for multidimensional genetic programming
    • [cs.RO]A Data Driven Approach for Motion Planning of Autonomous Driving Under Complex Scenario
    • [cs.RO]A Game Theoretical Framework for the Evaluation of Unmanned Aircraft Systems Airspace Integration Concepts
    • [cs.RO]A Passivity-based Nonlinear Admittance Control with Application to Powered Upper-limb Control under Unknown Environmental Interactions
    • [cs.RO]Fusion of Object Tracking and Dynamic Occupancy Grid Map
    • [cs.RO]Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing
    • [cs.RO]Metrics for the Evaluation of localisation Robustness
    • [cs.RO]Particle Filter on Episode
    • [cs.RO]Wait for me! Towards socially assistive walk companions
    • [cs.SD]Inspecting and Interacting with Meaningful Music Representations using VAE
    • [cs.SD]Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks
    • [cs.SI]A Fast and Efficient Incremental Approach toward Dynamic Community Detection
    • [cs.SI]Deep Representation Learning for Social Network Analysis
    • [cs.SI]Influence Maximization With Deactivation In Social Networks
    • [cs.SI]Influence Maximization via Representation Learning
    • [cs.SI]node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching
    • [econ.EM]Ridge regularization for Mean Squared Error Reduction in Regression with Weak Instruments
    • [econ.EM]Sharp Bounds for the Marginal Treatment Effect with Sample Selection
    • [econ.TH]Asymptotic Behavior of Bayesian Learners with Misspecified Models
    • [eess.AS]SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
    • [math.CO]An extremal problem for integer sparse recovery
    • [math.DS]A kernel-based method for coarse graining complex dynamical systems
    • [math.NA]Regularity and convergence analysis in Sobolev and Hölder spaces for generalized Whittle-Matérn fields
    • [math.OC]Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework
    • [math.PR]Stable recovery and the coordinate small-ball behaviour of random vectors
    • [math.ST]Asymptotic normality of generalized maximum spacing estimators for multivariate observations
    • [math.ST]Some ordering properties of highest and lowest order statistics with exponentiated Gumble type-II distributed components
    • [physics.geo-ph]Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity
    • [physics.soc-ph]Systematic comparison between methods for the detection of influential spreaders in complex networks
    • [q-bio.NC]Codes, Functions, and Causes: A Critique of Brette’s Conceptual Analysis of Coding
    • [q-fin.CP]Stock Forecasting using M-Band Wavelet-Based SVR and RNN-LSTMs Models
    • [stat.AP]Modelling antimicrobial prescriptions in Scotland: A spatio-temporal clustering approach
    • [stat.AP]The population-attributable fraction for time-dependent exposures and competing risks - A discussion on estimands
    • [stat.AP]Variable Selection in Functional Linear Concurrent Regression
    • [stat.ME]A Decomposition Analysis of Diffusion over a Large Network
    • [stat.ME]Adjusted Empirical Likelihood Method for the Tail Index of A Heavy-Tailed Distribution
    • [stat.ME]Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn
    • [stat.ME]On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables
    • [stat.ME]The uniform general signed rank test and its design sensitivity
    • [stat.ML]A New Class of Time Dependent Latent Factor Models with Applications
    • [stat.ML]Reducing Noise in GAN Training with Variance Reduced Extragradient
    • [stat.ML]SPONGE: A generalized eigenproblem for clustering signed networks

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

    • [astro-ph.IM]Convolutional neural networks: a magic bullet for gravitational-wave detection?
    Timothy D. Gebhard, Niki Kilbertus, Ian Harry, Bernhard Schölkopf
    http://arxiv.org/abs/1904.08693v1

    • [astro-ph.SR]Damping of Propagating Kink Waves in the Solar Corona
    Ajay K. Tiwari, Richard J. Morton, Stephane Régnier, James A. McLaughlin
    http://arxiv.org/abs/1904.08834v1

    • [cond-mat.mtrl-sci]DScribe: Library of Descriptors for Machine Learning in Materials Science
    Lauri Himanen, Marc O. J. Jäger, Eiaki V. Morooka, Filippo Federici Canova, Yashasvi S. Ranawat, David Z. Gao, Patrick Rinke, Adam S. Foster
    http://arxiv.org/abs/1904.08875v1

    • [cs.AI]Improving Interactive Reinforcement Agent Planning with Human Demonstration
    Guangliang Li, Randy Gomez, Keisuke Nakamura, Jinying Lin, Qilei Zhang, Bo He
    http://arxiv.org/abs/1904.08621v1

    • [cs.AI]Ontology-based Design of Experiments on Big Data Solutions
    Maximilian Zocholl, Elena Camossi, Anne-Laure Jousselme, Cyril Ray
    http://arxiv.org/abs/1904.08626v1

    • [cs.CL]Analytical Methods for Interpretable Ultradense Word Embeddings
    Philipp Dufter, Hinrich Schütze
    http://arxiv.org/abs/1904.08654v1

    • [cs.CL]ConvLab: Multi-Domain End-to-End Dialog System Platform
    Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao
    http://arxiv.org/abs/1904.08637v1

    • [cs.CL]Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
    Christine Basta, Marta R. Costa-jussà, Noe Casas
    http://arxiv.org/abs/1904.08783v1

    • [cs.CL]Headline Generation: Learning from Decomposed Document Titles
    Oleg Vasilyev, Tom Grek, John Bohannon
    http://arxiv.org/abs/1904.08455v1

    • [cs.CL]Neural Constituency Parsing of Speech Transcripts
    Paria Jamshid Lou, Yufei Wang, Mark Johnson
    http://arxiv.org/abs/1904.08535v1

    • [cs.CL]One Homonym per Translation
    Bradley Hauer, Grzegorz Kondrak
    http://arxiv.org/abs/1904.08533v1

    • [cs.CL]Recursive and Clause-Wise Decoding for Complex and Cross-Domain Text-to-SQL Generation
    Dongjun Lee
    http://arxiv.org/abs/1904.08835v1

    • [cs.CL]Societal Controversies in Wikipedia Articles
    Erik Borra, Andreas Kaltenbrunner, Michele Mauri, Esther Weltevrede, David Laniado, Richard Rogers, Paolo Ciuccarelli, Giovanni Magni, Tommaso Venturini
    http://arxiv.org/abs/1904.08721v1

    • [cs.CL]Towards VQA Models that can Read
    Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach
    http://arxiv.org/abs/1904.08920v1

    • [cs.CV](De)Constructing Bias on Skin Lesion Datasets
    Alceu Bissoto, Michel Fornaciali, Eduardo Valle, Sandra Avila
    http://arxiv.org/abs/1904.08818v1

    • [cs.CV]2D Car Detection in Radar Data with PointNets
    Andreas Danzer, Thomas Griebel, Martin Bach, Klaus Dietmayer
    http://arxiv.org/abs/1904.08414v1

    • [cs.CV]4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
    Christopher Choy, JunYoung Gwak, Silvio Savarese
    http://arxiv.org/abs/1904.08755v1

    • [cs.CV]A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
    Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro
    http://arxiv.org/abs/1904.08720v1

    • [cs.CV]A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods
    Lambert Schomaker
    http://arxiv.org/abs/1904.08421v1

    • [cs.CV]Aggregation Cross-Entropy for Sequence Recognition
    Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie
    http://arxiv.org/abs/1904.08364v2

    • [cs.CV]An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval
    Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati
    http://arxiv.org/abs/1904.08668v1

    • [cs.CV]Attentive Single-Tasking of Multiple Tasks
    Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos
    http://arxiv.org/abs/1904.08918v1

    • [cs.CV]Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
    Zhe Wu, Li Su, Qingming Huang
    http://arxiv.org/abs/1904.08739v1

    • [cs.CV]CenterNet: Keypoint Triplets for Object Detection
    Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian
    http://arxiv.org/abs/1904.08189v2

    • [cs.CV]Client/Server Based Online Environment for Manual Segmentation of Medical Images
    Daniel Wild, Maximilian Weber, Jan Egger
    http://arxiv.org/abs/1904.08610v1

    • [cs.CV]Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons
    Akari Ishikawa, Edson Bollis, Sandra Avila
    http://arxiv.org/abs/1904.08910v1

    • [cs.CV]CornerNet-Lite: Efficient Keypoint Based Object Detection
    Hei Law, Yun Teng, Olga Russakovsky, Jia Deng
    http://arxiv.org/abs/1904.08900v1

    • [cs.CV]Coupled Learning for Facial Deblur
    Dayong Tian, Dacheng Tao
    http://arxiv.org/abs/1904.08671v1

    • [cs.CV]DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
    Toby Perrett, Dima Damen
    http://arxiv.org/abs/1904.08634v1

    • [cs.CV]DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation
    Qing Liu, Xiaopeng Hong, Wei Ke, Zailiang Chen, Beiji Zou
    http://arxiv.org/abs/1904.08773v1

    • [cs.CV]Deep Optics for Monocular Depth Estimation and 3D Object Detection
    Julie Chang, Gordon Wetzstein
    http://arxiv.org/abs/1904.08601v1

    • [cs.CV]Deep Rigid Instance Scene Flow
    Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun
    http://arxiv.org/abs/1904.08913v1

    • [cs.CV]DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation
    Zhenlin Xu, Marc Niethammer
    http://arxiv.org/abs/1904.08465v1

    • [cs.CV]Discriminative Online Learning for Fast Video Object Segmentation
    Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
    http://arxiv.org/abs/1904.08630v1

    • [cs.CV]Do Lateral Views Help Automated Chest X-ray Predictions?
    Hadrien Bertrand, Mohammad Hashir, Joseph Paul Cohen
    http://arxiv.org/abs/1904.08534v1

    • [cs.CV]Early Detection of Injuries in MLB Pitchers from Video
    AJ Piergiovanni, Michael S. Ryoo
    http://arxiv.org/abs/1904.08916v1

    • [cs.CV]Enhanced Center Coding for Cell Detection with Convolutional Neural Networks
    Haoyi Liang, Aijaz Naik, Cedric L. Williams, Jaideep Kapur, Daniel S. Weller
    http://arxiv.org/abs/1904.08864v1

    • [cs.CV]Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training
    Vassili Kovalev, Siarhei Kazlouski
    http://arxiv.org/abs/1904.08688v1

    • [cs.CV]Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization
    Jiaxi He, Frank Z. Xing, Ran Yang, Cishen Zhang
    http://arxiv.org/abs/1904.08573v1

    • [cs.CV]Fast object detection in compressed JPEG Images
    Benjamin Deguerre, Clément Chatelain, Gilles Gasso
    http://arxiv.org/abs/1904.08408v1

    • [cs.CV]Fooling automated surveillance cameras: adversarial patches to attack person detection
    Simen Thys, Wiebe Van Ranst, Toon Goedemé
    http://arxiv.org/abs/1904.08653v1

    • [cs.CV]Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations
    Julia Rackerseder, Rüdiger Göbl, Nassir Navab, Christoph Hennersperger
    http://arxiv.org/abs/1904.08655v1

    • [cs.CV]Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation
    Ronnachai Jaroensri, Camille Biscarrat, Miika Aittala, Frédo Durand
    http://arxiv.org/abs/1904.08825v1

    • [cs.CV]Generative Model for Zero-Shot Sketch-Based Image Retrieval
    Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai
    http://arxiv.org/abs/1904.08542v1

    • [cs.CV]Global Hashing System for Fast Image Search
    Dayong Tian, Dacheng Tao
    http://arxiv.org/abs/1904.08685v1

    • [cs.CV]Graph based Dynamic Segmentation of Generic Objects in 3D
    Xiao Lin, Josep R. Casas, Montse Pardàs
    http://arxiv.org/abs/1904.08518v1

    • [cs.CV]Image Resizing by Reconstruction from Deep Features
    Moab Arar, Dov Danon, Daniel Cohen-Or, Ariel Shamir
    http://arxiv.org/abs/1904.08475v1

    • [cs.CV]KPConv: Flexible and Deformable Convolution for Point Clouds
    Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas
    http://arxiv.org/abs/1904.08889v1

    • [cs.CV]LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning
    Yaoyao Liu, Qianru Sun, An-An Liu, Yuting Su, Bernt Schiele, Tat-Seng Chua
    http://arxiv.org/abs/1904.08479v1

    • [cs.CV]Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
    Ke Gu, Dacheng Tao, Junfei Qiao, Weisi Lin
    http://arxiv.org/abs/1904.08632v1

    • [cs.CV]Learning to Collocate Neural Modules for Image Captioning
    Xu Yang, Hanwang Zhang, Jianfei Cai
    http://arxiv.org/abs/1904.08608v1

    • [cs.CV]Material Segmentation of Multi-View Satellite Imagery
    Matthew Purri, Jia Xue, Kristin Dana, Matthew Leotta, Dan Lipsa, Zhixin Li, Bo Xu, Jie Shan
    http://arxiv.org/abs/1904.08537v1

    • [cs.CV]Neural Painters: A learned differentiable constraint for generating brushstroke paintings
    Reiichiro Nakano
    http://arxiv.org/abs/1904.08410v1

    • [cs.CV]No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement
    Jia Yan, Jie Li, Xin Fu
    http://arxiv.org/abs/1904.08879v1

    • [cs.CV]Online Adaptation through Meta-Learning for Stereo Depth Estimation
    Zhenyu Zhang, Stéphane Lathuilière, Andrea Pilzer, Nicu Sebe, Elisa Ricci, Jian Yang
    http://arxiv.org/abs/1904.08462v1

    • [cs.CV]Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
    Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao
    http://arxiv.org/abs/1904.08703v1

    • [cs.CV]Progressive Attention Memory Network for Movie Story Question Answering
    Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo
    http://arxiv.org/abs/1904.08607v1

    • [cs.CV]Real-Time Style Transfer With Strength Control
    Victor Kitov
    http://arxiv.org/abs/1904.08643v1

    • [cs.CV]Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
    Rui Fan, Mohammud Junaid Bocus, Yilong Zhu, Jianhao Jiao, Li Wang, Fulong Ma, Shanshan Cheng, Ming Liu
    http://arxiv.org/abs/1904.08582v1

    • [cs.CV]SCE: A manifold regularized set-covering method for data partitioning
    Xuelong Li, Quanmao Lu, Yongsheng Dong, Dacheng Tao
    http://arxiv.org/abs/1904.08412v1

    • [cs.CV]Salient Object Detection: A Distinctive Feature Integration Model
    Abdullah J. Alzahrani, Hina Afridi
    http://arxiv.org/abs/1904.08868v1

    • [cs.CV]Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
    Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
    http://arxiv.org/abs/1904.08489v1

    • [cs.CV]Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems
    Christoph Schöller, Maximilian Schnettler, Annkathrin Krämmer, Gereon Hinz, Maida Bakovic, Müge Güzet, Alois Knoll
    http://arxiv.org/abs/1904.08743v1

    • [cs.CV]Tex2Shape: Detailed Full Human Body Geometry from a Single Image
    Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor
    http://arxiv.org/abs/1904.08645v1

    • [cs.CV]Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
    Fabian Eitel, Emily Soehler, Judith Bellmann-Strobl, Alexander U. Brandt, Klemens Ruprecht, René M. Giess, Joseph Kuchling, Susanna Asseyer, Martin Weygandt, John-Dylan Haynes, Michael Scheel, Friedemann Paul, Kerstin Ritter
    http://arxiv.org/abs/1904.08771v1

    • [cs.CV]Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
    Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang
    http://arxiv.org/abs/1904.08631v1

    • [cs.CV]Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
    Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
    http://arxiv.org/abs/1904.08482v1

    • [cs.CY]Mobility profiles and calendars for food security and livelihoods analysis
    Pedro J. Zufiria, David Pastor-Escuredo, Luis Ubeda Medina, Miguel A. Hernandez Medina, Iker Barriales Valbuena, Alfredo J. Morales, Wilfred Nkwambi, John Quinn, Paula Hidalgo Sanchis, Miguel Luengo-Oroz
    http://arxiv.org/abs/1904.08525v1

    • [cs.DC]Investigating the Dirac operator evaluation with FPGAs
    G. Korcyl, P. Korcyl
    http://arxiv.org/abs/1904.08616v1

    • [cs.DC]Memory and Parallelism Analysis Using a Platform-Independent Approach
    Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
    http://arxiv.org/abs/1904.08762v1

    • [cs.DC]Terra: Scalable Cross-Layer GDA Optimizations
    Jie You, Mosharaf Chowdhury
    http://arxiv.org/abs/1904.08480v1

    • [cs.GR]Deep Parametric Shape Predictions using Distance Fields
    Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
    http://arxiv.org/abs/1904.08921v1

    • [cs.HC]Improving Usability, Efficiency, and Safety of UAV Path Planning through a Virtual Reality Interface
    Jesse Paterson, Jiwoong Han, Tom Cheng, Paxtan Laker, David McPherson, Joseph Menke, Allen Yang
    http://arxiv.org/abs/1904.08593v1

    • [cs.IR]A Progressive Visual Analytics Tool for Incremental Experimental Evaluation
    Fabio Giachelle, Gianmaria Silvello
    http://arxiv.org/abs/1904.08754v1

    • [cs.IR]An Empirical Evaluation of Text Representation Schemes on Multilingual Social Web to Filter the Textual Aggression
    Sandip Modha, Prasenjit Majumder
    http://arxiv.org/abs/1904.08770v1

    • [cs.IR]Creative Procedural-Knowledge Extraction From Web Design Tutorials
    Longqi Yang, Chen Fang, Hailin Jin, Walter Chang, Deborah Estrin
    http://arxiv.org/abs/1904.08587v1

    • [cs.IR]Knowledge-rich Image Gist Understanding Beyond Literal Meaning
    Lydia Weiland, Ioana Hulpus, Simone Paolo Ponzetto, Wolfgang Effelsberg, Laura Dietz
    http://arxiv.org/abs/1904.08709v1

    • [cs.IR]Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search
    Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao
    http://arxiv.org/abs/1904.08623v1

    • [cs.IR]The Simplest Thing That Can Possibly Work: Pseudo-Relevance Feedback Using Text Classification
    Jimmy Lin
    http://arxiv.org/abs/1904.08861v1

    • [cs.IR]Towards Open Intent Discovery for Conversational Text
    Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
    http://arxiv.org/abs/1904.08524v1

    • [cs.IT]Decoding High-Order Interleaved Rank-Metric Codes
    Sven Puchinger, Julian Renner, Antonia Wachter-Zeh
    http://arxiv.org/abs/1904.08774v1

    • [cs.IT]Design of Communication Systems using Deep Learning: A Variational Inference Perspective
    Vishnu Raj, Sheetal Kalyani
    http://arxiv.org/abs/1904.08559v1

    • [cs.IT]Dynamic Binary Countdown for Massive IoT Random Access in Dense 5G Networks
    Mikhail Vilgelm, Sergio Rueda Linares, Wolfgang Kellerer
    http://arxiv.org/abs/1904.08705v1

    • [cs.IT]Hybrid MMSE Beamforming for Multiuser Millimeter Wave Communication Systems
    Jiaqi Cong, Tian Lin, Yu Zhu
    http://arxiv.org/abs/1904.08686v1

    • [cs.IT]On The Classification-Distortion-Perception Tradeoff
    Dong Liu, Haochen Zhang, Zhiwei Xiong
    http://arxiv.org/abs/1904.08816v1

    • [cs.IT]On the Scaling Exponent of Polar Codes with Product Kernels
    Manan Bhandari, Ishan Bansal, V. Lalitha
    http://arxiv.org/abs/1904.08682v1

    • [cs.IT]Per-link Reliability and Rate Control: Two Facets of the SIR Meta Distribution
    Sanket S. Kalamkar, Martin Haenggi
    http://arxiv.org/abs/1904.08523v1

    • [cs.IT]Weighted Lifted Codes: Local Correctabilities and Application to Robust Private Information Retrieval
    Julien Lavauzelle, Jade Nardi
    http://arxiv.org/abs/1904.08696v1

    • [cs.LG]An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs
    Behzad Ghazanfari, Fatemeh Afghah, Kayvan Najarian, Sajad Mousavi, Jonathan Gryak, James Todd
    http://arxiv.org/abs/1904.08495v1

    • [cs.LG]Compositional Network Embedding
    Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang
    http://arxiv.org/abs/1904.08157v2

    • [cs.LG]Decoding Molecular Graph Embeddings with Reinforcement Learning
    Steven Kearnes, Li Li, Patrick Riley
    http://arxiv.org/abs/1904.08915v1

    • [cs.LG]Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning
    Bahareh Tolooshams, Sourav Dey, Demba Ba
    http://arxiv.org/abs/1904.08827v1

    • [cs.LG]DeepNovoV2: Better de novo peptide sequencing with deep learning
    Rui Qiao, Ngoc Hieu Tran, Ming Li, Lei Xin, Baozhen Shan, Ali Ghodsi
    http://arxiv.org/abs/1904.08514v1

    • [cs.LG]Defensive Quantization: When Efficiency Meets Robustness
    Ji Lin, Chuang Gan, Song Han
    http://arxiv.org/abs/1904.08444v1

    • [cs.LG]Disentangled Representation Learning with Information Maximizing Autoencoder
    Kazi Nazmul Haque, Siddique Latif, Rajib Rana
    http://arxiv.org/abs/1904.08613v1

    • [cs.LG]Gotta Catch ‘Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks
    Shawn Shan, Emily Willson, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao
    http://arxiv.org/abs/1904.08554v1

    • [cs.LG]Inpatient2Vec: Medical Representation Learning for Inpatients
    Ying Wang, Xiao Xu
    http://arxiv.org/abs/1904.08558v1

    • [cs.LG]Learning Interpretable Disentangled Representations using Adversarial VAEs
    Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni
    http://arxiv.org/abs/1904.08491v1

    • [cs.LG]Matrix Completion With Selective Sampling
    Christian Parkinson, Kevin Huynh, Deanna Needell
    http://arxiv.org/abs/1904.08540v1

    • [cs.LG]Memory-Sample Tradeoffs for Linear Regression with Small Error
    Vatsal Sharan, Aaron Sidford, Gregory Valiant
    http://arxiv.org/abs/1904.08544v1

    • [cs.LG]Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs
    Matthew A. Wright, Simon F. G. Ehlers, Roberto Horowitz
    http://arxiv.org/abs/1904.08831v1

    • [cs.LG]Off-Policy Policy Gradient with State Distribution Correction
    Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
    http://arxiv.org/abs/1904.08473v1

    • [cs.LG]On Low-rank Trace Regression under General Sampling Distribution
    Nima Hamidi, Mohsen Bayati
    http://arxiv.org/abs/1904.08576v1

    • [cs.LG]One-dimensional Deep Image Prior for Time Series Inverse Problems
    Sriram Ravula, Alexandros G. Dimakis
    http://arxiv.org/abs/1904.08594v1

    • [cs.LG]Robust Exploration with Tight Bayesian Plausibility Sets
    Reazul H. Russel, Tianyi Gu, Marek Petrik
    http://arxiv.org/abs/1904.08528v1

    • [cs.LG]Self-Attention Graph Pooling
    Junhyun Lee, Inyeop Lee, Jaewoo Kang
    http://arxiv.org/abs/1904.08082v2

    • [cs.LG]ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks
    Guanxiong Liu, Issa Khalil, Abdallah Khreishah
    http://arxiv.org/abs/1904.08516v1

    • [cs.LG]edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
    Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez, Jean-Philippe Thiran, Maria Gabrani
    http://arxiv.org/abs/1904.08745v1

    • [cs.LO]Towards Evolutionary Theorem Proving for Isabelle/HOL
    Yutaka Nagashima
    http://arxiv.org/abs/1904.08468v1

    • [cs.LO]True Parallel Graph Transformations: an Algebraic Approach Based on Weak Spans
    Thierry Boy de la Tour, Rachid Echahed
    http://arxiv.org/abs/1904.08850v1

    • [cs.MM]An efficient multi-language Video Search Engine to facilitate the HADJ and the UMRA
    Mohamed Hamroun, Sonia Lajmi
    http://arxiv.org/abs/1904.08418v1

    • [cs.MM]Exquisitor: Interactive Learning at Large
    Björn Þór Jónsson, Omar Shahbaz Khan, Hanna Ragnarsdóttir, Þórhildur Þorleiksdóttir, Jan Zahálka, Stevan Rudinac, Gylfi Þór Guðmundsson, Laurent Amsaleg, Marcel Worring
    http://arxiv.org/abs/1904.08689v1

    • [cs.NE]An Exponential Lower Bound for the Runtime of the cGA on Jump Functions
    Benjamin Doerr
    http://arxiv.org/abs/1904.08415v1

    • [cs.NE]Batch Tournament Selection for Genetic Programming
    Vinicius V. Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf
    http://arxiv.org/abs/1904.08658v1

    • [cs.NE]Interplanetary Transfers via Deep Representations of the Optimal Policy and/or of the Value Function
    Dario Izzo, Ekin Öztürk, Marcus Märtens
    http://arxiv.org/abs/1904.08809v1

    • [cs.NE]MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
    Charlotte Frenkel, Jean-Didier Legat, David Bol
    http://arxiv.org/abs/1904.08513v1

    • [cs.NE]Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates
    Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr
    http://arxiv.org/abs/1904.08032v2

    • [cs.NE]On the validity of memristor modeling in the neural network literature
    Y. V. Pershin, M. Di Ventra
    http://arxiv.org/abs/1904.08839v1

    • [cs.NE]Semantic variation operators for multidimensional genetic programming
    William La Cava, Jason H. Moore
    http://arxiv.org/abs/1904.08577v1

    • [cs.RO]A Data Driven Approach for Motion Planning of Autonomous Driving Under Complex Scenario
    Chenyang Xi, Tianyu Shi, Jie Chen
    http://arxiv.org/abs/1904.08784v1

    • [cs.RO]A Game Theoretical Framework for the Evaluation of Unmanned Aircraft Systems Airspace Integration Concepts
    Negin Musavi
    http://arxiv.org/abs/1904.08477v1

    • [cs.RO]A Passivity-based Nonlinear Admittance Control with Application to Powered Upper-limb Control under Unknown Environmental Interactions
    Min Jun Kim, Woongyong Lee, Jae Yeon Choi, Goobong Chung, Kyung-Lyong Han, Il Seop Choi, Christian Ott, Wan Kyun Chung
    http://arxiv.org/abs/1904.08833v1

    • [cs.RO]Fusion of Object Tracking and Dynamic Occupancy Grid Map
    Nils Rexin, Marcel Musch, Klaus Dietmayer
    http://arxiv.org/abs/1904.08701v1

    • [cs.RO]Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing
    Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
    http://arxiv.org/abs/1904.08801v1

    • [cs.RO]Metrics for the Evaluation of localisation Robustness
    Siqi Yi, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/1904.08585v1

    • [cs.RO]Particle Filter on Episode
    Ryuichi Ueda, Masahiro Kato, Atsushi Saito
    http://arxiv.org/abs/1904.08761v1

    • [cs.RO]Wait for me! Towards socially assistive walk companions
    Fernando Garcia, Amit Kumar Pandey, Charles Fattal
    http://arxiv.org/abs/1904.08854v1

    • [cs.SD]Inspecting and Interacting with Meaningful Music Representations using VAE
    Ruihan Yang, Tianyao Chen, Yiyi Zhang, Gus Xia
    http://arxiv.org/abs/1904.08842v1

    • [cs.SD]Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks
    Zhenyu Tang, John D. Kanu, Kevin Hogan, Dinesh Manocha
    http://arxiv.org/abs/1904.08452v1

    • [cs.SI]A Fast and Efficient Incremental Approach toward Dynamic Community Detection
    Neda Zarayeneh, Ananth Kalyanaraman
    http://arxiv.org/abs/1904.08553v1

    • [cs.SI]Deep Representation Learning for Social Network Analysis
    Qiaoyu Tan, Ninghao Liu, Xia Hu
    http://arxiv.org/abs/1904.08547v1

    • [cs.SI]Influence Maximization With Deactivation In Social Networks
    Kübra Tanınmış, Necati Aras, İ. K. Altınel
    http://arxiv.org/abs/1904.08628v1

    • [cs.SI]Influence Maximization via Representation Learning
    George Panagopoulos, Michalis Vazirgiannis, Fragkiskos D. Malliaros
    http://arxiv.org/abs/1904.08804v1

    • [cs.SI]node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching
    Di Jin, Mark Heimann, Ryan Rossi, Danai Koutra
    http://arxiv.org/abs/1904.08572v1

    • [econ.EM]Ridge regularization for Mean Squared Error Reduction in Regression with Weak Instruments
    Karthik Rajkumar
    http://arxiv.org/abs/1904.08580v1

    • [econ.EM]Sharp Bounds for the Marginal Treatment Effect with Sample Selection
    Vitor Possebom
    http://arxiv.org/abs/1904.08522v1

    • [econ.TH]Asymptotic Behavior of Bayesian Learners with Misspecified Models
    Ignacio Esponda, Demian Pouzo
    http://arxiv.org/abs/1904.08551v1

    • [eess.AS]SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
    Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le
    http://arxiv.org/abs/1904.08779v1

    • [math.CO]An extremal problem for integer sparse recovery
    Sergei Konyagin, Benny Sudakov
    http://arxiv.org/abs/1904.08661v1

    • [math.DS]A kernel-based method for coarse graining complex dynamical systems
    Andreas Bittracher, Stefan Klus, Boumediene Hamzi, Christof Schütte
    http://arxiv.org/abs/1904.08622v1

    • [math.NA]Regularity and convergence analysis in Sobolev and Hölder spaces for generalized Whittle-Matérn fields
    Sonja G. Cox, Kristin Kirchner
    http://arxiv.org/abs/1904.06569v1

    • [math.OC]Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework
    Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff
    http://arxiv.org/abs/1904.08823v1

    • [math.PR]Stable recovery and the coordinate small-ball behaviour of random vectors
    Shahar Mendelson, Grigoris Paouris
    http://arxiv.org/abs/1904.08532v1

    • [math.ST]Asymptotic normality of generalized maximum spacing estimators for multivariate observations
    Kristi Kuljus, Bo Ranneby
    http://arxiv.org/abs/1904.08625v1

    • [math.ST]Some ordering properties of highest and lowest order statistics with exponentiated Gumble type-II distributed components
    Surojit Biswas, Nitin Gupta
    http://arxiv.org/abs/1904.08730v1

    • [physics.geo-ph]Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity
    Joshua Dickey, Brett Borghetti, William Junek, Richard Martin
    http://arxiv.org/abs/1904.07936v2

    • [physics.soc-ph]Systematic comparison between methods for the detection of influential spreaders in complex networks
    Sirag Erkol, Claudio Castellano, Filippo Radicchi
    http://arxiv.org/abs/1904.08457v1

    • [q-bio.NC]Codes, Functions, and Causes: A Critique of Brette’s Conceptual Analysis of Coding
    David Barack, Andrew Jaegle
    http://arxiv.org/abs/1904.08873v1

    • [q-fin.CP]Stock Forecasting using M-Band Wavelet-Based SVR and RNN-LSTMs Models
    Hieu Quang Nguyen, Abdul Hasib Rahimyar, Xiaodi Wang
    http://arxiv.org/abs/1904.08459v1

    • [stat.AP]Modelling antimicrobial prescriptions in Scotland: A spatio-temporal clustering approach
    Antonia Gieschen, Jake Ansell, Raffaella Calabrese, Belen Martin-Barragan
    http://arxiv.org/abs/1904.08870v1

    • [stat.AP]The population-attributable fraction for time-dependent exposures and competing risks - A discussion on estimands
    Maja von Cube, Martin Schumacher, Sebastien Bailly, Jean-Francois Timsit, Alain Lepape, Anne Savey, Anais Machut, Martin Wolkewitz
    http://arxiv.org/abs/1904.08692v1

    • [stat.AP]Variable Selection in Functional Linear Concurrent Regression
    Rahul Ghosal, Arnab Maity, Timothy Clark, Stefano B Longo
    http://arxiv.org/abs/1904.08507v1

    • [stat.ME]A Decomposition Analysis of Diffusion over a Large Network
    Kyungchul Song
    http://arxiv.org/abs/1904.08538v1

    • [stat.ME]Adjusted Empirical Likelihood Method for the Tail Index of A Heavy-Tailed Distribution
    Yizeng Li, Yongcheng Qi
    http://arxiv.org/abs/1904.08420v1

    • [stat.ME]Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn
    Trang Quynh Nguyen, Ian Schmid, Elizabeth A. Stuart
    http://arxiv.org/abs/1904.08515v1

    • [stat.ME]On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables
    Francisco J. Rubio, Bernard Rachet, Roch Giorgi, Camille Maringe, Aurelien Belot
    http://arxiv.org/abs/1904.08672v1

    • [stat.ME]The uniform general signed rank test and its design sensitivity
    Steven R. Howard, Samuel D. Pimentel
    http://arxiv.org/abs/1904.08895v1

    • [stat.ML]A New Class of Time Dependent Latent Factor Models with Applications
    Sinead A. Williamson, Michael Minyi Zhang, Paul Damien
    http://arxiv.org/abs/1904.08548v1

    • [stat.ML]Reducing Noise in GAN Training with Variance Reduced Extragradient
    Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien
    http://arxiv.org/abs/1904.08598v1

    • [stat.ML]SPONGE: A generalized eigenproblem for clustering signed networks
    Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi
    http://arxiv.org/abs/1904.08575v1