astro-ph.CO - 宇宙学和天体物理学

    cs.AI - 人工智能 cs.CG - 计算几何学 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.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 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.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-lat - 高能物理晶格 math.DS - 动力系统 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 q-fin.CP -计算金融学 q-fin.RM - 风险管理 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.CO]HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
    • [cs.AI]A Complete Classification of the Complexity and Rewritability of Ontology-Mediated Queries based on the Description Logic EL
    • [cs.AI]Enhancement of Power Equipment Management Using Knowledge Graph
    • [cs.AI]Fuzzy Rule Interpolation Methods and Fri Toolbox
    • [cs.AI]Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers
    • [cs.AI]Soft Marginal TransE for Scholarly Knowledge Graph Completion
    • [cs.CG]Automatic Support Removal for Additive Manufacturing Post Processing
    • [cs.CL]Experiments in Cuneiform Language Identification
    • [cs.CL]HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning
    • [cs.CL]Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
    • [cs.CL]OPIEC: An Open Information Extraction Corpus
    • [cs.CL]Semantic Matching of Documents from Heterogeneous Collections: A Simple and Transparent Method for Practical Applications
    • [cs.CL]Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference
    • [cs.CL]Towards Recognizing Phrase Translation Processes: Experiments on English-French
    • [cs.CL]Understanding Dataset Design Choices for Multi-hop Reasoning
    • [cs.CR]Authenticated Key-Value Stores with Hardware Enclaves
    • [cs.CR]Better Accuracy and Efficiency for Fuzzy Search on Encrypted Data
    • [cs.CR]Blockchain: Emerging Applications and Use Cases
    • [cs.CR]Exploring Information Centrality for Intrusion Detection in Large Networks
    • [cs.CV]3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling
    • [cs.CV]3D-SIC: 3D Semantic Instance Completion for RGB-D Scans
    • [cs.CV]A New Method for Atlanta World Frame Estimation
    • [cs.CV]A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces
    • [cs.CV]A dual branch deep neural network for classification and detection in mammograms
    • [cs.CV]ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain
    • [cs.CV]Accelerating Proposal Generation Network for \Fast Face Detection on Mobile Devices
    • [cs.CV]An approach to image denoising using manifold approximation without clean images
    • [cs.CV]Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning
    • [cs.CV]Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences
    • [cs.CV]Capturing human categorization of natural images at scale by combining deep networks and cognitive models
    • [cs.CV]Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning
    • [cs.CV]Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net
    • [cs.CV]Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding
    • [cs.CV]DeLiO: Decoupled LiDAR Odometry
    • [cs.CV]DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation
    • [cs.CV]Deferred Neural Rendering: Image Synthesis using Neural Textures
    • [cs.CV]Domain Agnostic Learning with Disentangled Representations
    • [cs.CV]End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning
    • [cs.CV]Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks
    • [cs.CV]HOG feature extraction from encrypted images for privacy-preserving machine learning
    • [cs.CV]Hierarchical Recurrent Neural Network for Video Summarization
    • [cs.CV]Human-Centered Emotion Recognition in Animated GIFs
    • [cs.CV]Improved Conditional VRNNs for Video Prediction
    • [cs.CV]IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction
    • [cs.CV]LeGR: Filter Pruning via Learned Global Ranking
    • [cs.CV]Learning to Fuse Local Geometric Features for 3D Rigid Data Matching
    • [cs.CV]Meta Anti-spoofing: Learning to Learn in Face Anti-spoofing
    • [cs.CV]Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
    • [cs.CV]Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
    • [cs.CV]RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
    • [cs.CV]Recurrent Embedding Aggregation Network for Video Face Recognition
    • [cs.CV]Relevant features for Gender Classification in NIR Periocular Images
    • [cs.CV]Robust subspace clustering by Cauchy loss function
    • [cs.CV]Self-Attention Capsule Networks for Image Classification
    • [cs.CV]Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
    • [cs.CV]Spatio-Temporal Filter Adaptive Network for Video Deblurring
    • [cs.CV]Style Transfer by Relaxed Optimal Transport and Self-Similarity
    • [cs.CV]Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
    • [cs.CV]Translate-to-Recognize Networks for RGB-D Scene Recognition
    • [cs.CV]Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network
    • [cs.CV]Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
    • [cs.CV]Weighted Dark Channel Dehazing
    • [cs.CV]X-Ray Image Compression Using Convolutional Recurrent Neural Networks
    • [cs.CY]Teaching AI, Ethics, Law and Policy
    • [cs.DC]A Practical Analysis of Rust’s Concurrency Story
    • [cs.DC]Accurate MapReduce Algorithms for $k$-median and $k$-means in General Metric Spaces
    • [cs.DC]Reinforcement Learning Based Orchestration for Elastic Services
    • [cs.DC]Winner-Take-All Computation in Spiking Neural Networks
    • [cs.DL]Venue Analytics: A Simple Alternative to Citation-Based Metrics
    • [cs.DS]Pushing Lines Helps: Efficient Universal Centralised Transformations for Programmable Matter
    • [cs.GR]TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures
    • [cs.GT]Competitive Statistical Estimation with Strategic Data Sources
    • [cs.HC]E-Gotsky: Sequencing Content using the Zone of Proximal Development
    • [cs.HC]TheFragebogen: A Web Browser-based Questionnaire Framework for Scientific Research
    • [cs.HC]Vector Autoregressive POMDP Model Learning and Planning for Human-Robot Collaboration
    • [cs.IR]Hierarchical Context enabled Recurrent Neural Network for Recommendation
    • [cs.IR]Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network
    • [cs.IR]On the Effect of Low-Frequency Terms on Neural-IR Models
    • [cs.IR]Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
    • [cs.IT]A Cross-Layer Approach to Data-aided Sensing using Compressive Random Access
    • [cs.IT]A Simple Derivation of the Refined SPB for the Constant Composition Codes
    • [cs.IT]A short note on Goppa codes over Elementary Abelian $p$-Extensions of $\mathbb{F}_{p^s}(x)$
    • [cs.IT]Achieving Max-Min Throughput in LoRa Networks
    • [cs.IT]Analysis of reaction and timing attacks against cryptosystems based on sparse parity-check codes
    • [cs.IT]Asymptotic Analysis of RZF over Double Scattering Channels with MMSE Estimation
    • [cs.IT]Decision Procedure for the Existence of Two-Channel Prefix-Free Codes
    • [cs.IT]Experimental Demonstration of Data Transmission Based on the Exact Inverse Periodic Nonlinear Fourier Transform
    • [cs.IT]Learning-based Rate Adaptation for Uplink Massive MIMO Networks with Cooperative Data-Assisted Detection
    • [cs.IT]MISO Wireless Communication Systems via Intelligent Reflecting Surfaces
    • [cs.IT]Machine Learning in the Air
    • [cs.IT]New Quantum Generalized Reed-Solomn Codes over Finite Fields
    • [cs.IT]Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks
    • [cs.IT]Over-the-Air Computation via Intelligent Reflecting Surfaces
    • [cs.IT]Partially Ordered Statistics Demapping for Multi-Dimensional Modulation Formats
    • [cs.IT]Security of Covert Quantum Key Distribution under a Class of Coherent Attacks
    • [cs.IT]Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
    • [cs.IT]The Optimal Power Control Policy for an Energy Harvesting System with Look-Ahead: Bernoulli Energy Arrivals
    • [cs.IT]Wireless Network Reliability Analysis for Arbitrary Network Topologies
    • [cs.LG]A Review of Modularization Techniques in Artificial Neural Networks
    • [cs.LG]A convolution recurrent autoencoder for spatio-temporal missing data imputation
    • [cs.LG]Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization
    • [cs.LG]Adversarial Speaker Adaptation
    • [cs.LG]Adversarial Training for Free!
    • [cs.LG]Analysis of Confident-Classifiers for Out-of-distribution Detection
    • [cs.LG]Application of Autoencoder-Assisted Recurrent Neural Networks to Prevent Cases of Sudden Infant Death Syndrome
    • [cs.LG]Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning
    • [cs.LG]Asymmetric Impurity Functions, Class Weighting, and Optimal Splits for Binary Classification Trees
    • [cs.LG]Attentive Adversarial Learning for Domain-Invariant Training
    • [cs.LG]Challenges and Pitfalls of Reproducing Machine Learning Artifacts
    • [cs.LG]Conditional Teacher-Student Learning
    • [cs.LG]ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
    • [cs.LG]DAC: The Double Actor-Critic Architecture for Learning Options
    • [cs.LG]Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks
    • [cs.LG]Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem
    • [cs.LG]Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
    • [cs.LG]Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
    • [cs.LG]Evaluating Recurrent Neural Network Explanations
    • [cs.LG]Exploring Urban Air Quality with MAPS: Mobile Air Pollution Sensing
    • [cs.LG]Exponential Family Estimation via Adversarial Dynamics Embedding
    • [cs.LG]Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms
    • [cs.LG]Graph Matching Networks for Learning the Similarity of Graph Structured Objects
    • [cs.LG]Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update
    • [cs.LG]Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications
    • [cs.LG]Learning walk and trot from the same objective using different types of exploration
    • [cs.LG]Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
    • [cs.LG]Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without
    • [cs.LG]Optimal Sparse Decision Trees
    • [cs.LG]Prediction with Unpredictable Feature Evolution
    • [cs.LG]Real numbers, data science and chaos: How to fit any dataset with a single parameter
    • [cs.LG]Routing Networks and the Challenges of Modular and Compositional Computation
    • [cs.LG]SEALion: a Framework for Neural Network Inference on Encrypted Data
    • [cs.LG]Sample Amplification: Increasing Dataset Size even when Learning is Impossible
    • [cs.LG]Sistema Sensor para el Monitoreo Ambiental Basado en Redes Neuronales
    • [cs.LG]Soft edit distance for differentiable comparison of symbolic sequences
    • [cs.LG]Support Vector Regression via a Combined Reward Cum Penalty Loss Function
    • [cs.LG]Survey on Automated Machine Learning
    • [cs.LG]TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
    • [cs.LG]Temporal-Clustering Invariance in Irregular Healthcare Time Series
    • [cs.LG]The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure
    • [cs.LG]Towards Data Poisoning Attack against Knowledge Graph Embedding
    • [cs.LG]Unsupervised Data Augmentation
    • [cs.MS]Softmax Optimizations for Intel Xeon Processor-based Platforms
    • [cs.NE]Computational Approaches to Access Probabilistic Population Codes for Higher Cognition an Decision-Making
    • [cs.NI]Periodic Bandits and Wireless Network Selection
    • [cs.NI]Radio Resource Allocation for Reliable Out-of-coverage V2V Communications
    • [cs.NI]Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage
    • [cs.RO]Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning
    • [cs.RO]Efficient Computation of Higher-Order Variational Integrators in Robotic Simulation and Trajectory Optimization
    • [cs.RO]Fast path planning algorithms for Unmanned Aerial Vehicles
    • [cs.RO]Non-myopic Planetary Exploration Combining In Situ and Remote Measurements
    • [cs.RO]Real-time Trajectory Generation for Quadrotors using B-spline based Non-uniform Kinodynamic Search
    • [cs.RO]STANCE: Locomotion Adaptation over Soft Terrain
    • [cs.RO]Self Training Autonomous Driving Agent
    • [cs.SD]Adversarial Speaker Verification
    • [cs.SD]Cough Detection Using Hidden Markov Models
    • [cs.SD]Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network
    • [cs.SD]Towards Automation of Creativity: A Machine Intelligence Approach
    • [cs.SE]Counterexample-Driven Synthesis for Probabilistic Program Sketches
    • [cs.SE]Enabling Open-World Specification Mining via Unsupervised Learning
    • [cs.SE]Using Social Network Service to determine the Initial User Requirements for Small Software Businesses
    • [cs.SI]A Deep Generative Model for Graph Layout
    • [cs.SI]A Socio-Informatic Approach to Automated Account Classification on Social Media
    • [cs.SI]High Quality Degree Based Heuristics for the Influence Maximization Problem
    • [cs.SI]Local non-Bayesian social learning with stubborn agents
    • [cs.SI]StartupBR: Higher Education’s Influence on Social Networks and Entrepreneurship in Brazil
    • [econ.GN]Regulating AI: do we need new tools?
    • [eess.AS]Neural source-filter waveform models for statistical parametric speech synthesis
    • [eess.IV]Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
    • [eess.SP]A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint
    • [eess.SP]Asymptotic regime for improperness tests of complex random vectors
    • [hep-lat]Flow-based generative models for Markov chain Monte Carlo in lattice field theory
    • [math.DS]Stability conditions of an ODE arising in human motion and its numerical simulation
    • [math.OC]Blended Matching Pursuit
    • [math.OC]Making the Last Iterate of SGD Information Theoretically Optimal
    • [math.PR]Entropy inequalities and exponential decay of correlations for unique Gibbs measures on trees
    • [math.ST]A Closed Form Approximation of Moments of New Generalization of Negative Binomial Distribution
    • [math.ST]Linearized two-layers neural networks in high dimension
    • [math.ST]Optimal Bayesian Estimation for Random Dot Product Graphs
    • [math.ST]Properties of discrete Fisher information: Cramer-Rao-type and log-Sobolev-type inequalities
    • [physics.comp-ph]Constraint-Aware Neural Networks for Riemann Problems
    • [physics.comp-ph]Wave Physics as an Analog Recurrent Neural Network
    • [q-bio.GN]Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
    • [q-bio.NC]Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects
    • [q-fin.CP]Gated deep neural networks for implied volatility surfaces
    • [q-fin.RM]Tail models and the statistical limit of accuracy in risk assessment
    • [stat.AP]Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ
    • [stat.AP]Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children’s Health Studies
    • [stat.AP]Random spherical hyperbolic diffusion
    • [stat.CO]Multilevel adaptive sparse Leja approximations for Bayesian inverse problems
    • [stat.ME]Bayesian time-aligned factor analysis of paired multivariate time series
    • [stat.ME]Comment on “Hidden truncation hyperbolic distributions, finite mixtures thereof and their application for clustering” Murray, Browne, and \McNicholas
    • [stat.ME]Estimation of distributional effects of treatment and control under selection on observables: consistency, weak convergence, and applications
    • [stat.ME]Nonparametric maximum likelihood estimation under a likelihood ratio order
    • [stat.ME]Smoothing and Interpolating Noisy GPS Data with Smoothing Splines
    • [stat.ME]The Hyvärinen scoring rule in Gaussian linear time series models
    • [stat.ME]Toward a principled Bayesian workflow in cognitive science
    • [stat.ML]Graph Kernels: A Survey
    • [stat.ML]Low-Rank Principal Eigenmatrix Analysis
    • [stat.ML]Optimizing regularized Cholesky score for order-based learning of Bayesian networks

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

    • [astro-ph.CO]HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
    Juan Zamudio-Fernandez, Atakan Okan, Francisco Villaescusa-Navarro, Seda Bilaloglu, Asena Derin Cengiz, Siyu He, Laurence Perreault Levasseur, Shirley Ho
    http://arxiv.org/abs/1904.12846v1

    • [cs.AI]A Complete Classification of the Complexity and Rewritability of Ontology-Mediated Queries based on the Description Logic EL
    Carsten Lutz, Leif Sabellek
    http://arxiv.org/abs/1904.12533v1

    • [cs.AI]Enhancement of Power Equipment Management Using Knowledge Graph
    Yachen Tang, Tingting Liu, Guangyi Liu, Jie Li, Renchang Dai, Chen Yuan
    http://arxiv.org/abs/1904.12242v1

    • [cs.AI]Fuzzy Rule Interpolation Methods and Fri Toolbox
    Maen Alzubi, Zsolt Csaba Johanyák, Szilveszter Kovács
    http://arxiv.org/abs/1904.12178v1

    • [cs.AI]Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers
    Zhanfu Yang, Fei Wang, Ziliang Chen, Guannan Wei, Tiark Rompf
    http://arxiv.org/abs/1904.12084v1

    • [cs.AI]Soft Marginal TransE for Scholarly Knowledge Graph Completion
    Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi
    http://arxiv.org/abs/1904.12211v1

    • [cs.CG]Automatic Support Removal for Additive Manufacturing Post Processing
    Saigopal Nelaturi, Morad Behandish, Amir M. Mirzendehdel, Johan de Kleer
    http://arxiv.org/abs/1904.12117v1

    • [cs.CL]Experiments in Cuneiform Language Identification
    Gustavo Henrique Paetzold, Marcos Zampieri
    http://arxiv.org/abs/1904.12087v1

    • [cs.CL]HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning
    Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos
    http://arxiv.org/abs/1904.12166v1

    • [cs.CL]Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
    Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li
    http://arxiv.org/abs/1904.12535v1

    • [cs.CL]OPIEC: An Open Information Extraction Corpus
    Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla
    http://arxiv.org/abs/1904.12324v1

    • [cs.CL]Semantic Matching of Documents from Heterogeneous Collections: A Simple and Transparent Method for Practical Applications
    Mark-Christoph Müller
    http://arxiv.org/abs/1904.12550v1

    • [cs.CL]Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference
    Tianda Li, Xiaodan Zhu, Quan Liu, Qian Chen, Zhigang Chen, Si Wei
    http://arxiv.org/abs/1904.12104v1

    • [cs.CL]Towards Recognizing Phrase Translation Processes: Experiments on English-French
    Yuming Zhai, Pooyan Safari, Gabriel Illouz, Alexandre Allauzen, Anne Vilnat
    http://arxiv.org/abs/1904.12213v1

    • [cs.CL]Understanding Dataset Design Choices for Multi-hop Reasoning
    Jifan Chen, Greg Durrett
    http://arxiv.org/abs/1904.12106v1

    • [cs.CR]Authenticated Key-Value Stores with Hardware Enclaves
    Yuzhe, Tang, Ju Chen, Kai Li, Jianliang Xu, Qi Zhang
    http://arxiv.org/abs/1904.12068v1

    • [cs.CR]Better Accuracy and Efficiency for Fuzzy Search on Encrypted Data
    Jinkun Cao, Jinhao Zhu, Liwei Lin, Ruhui Ma, Haibing Guan
    http://arxiv.org/abs/1904.12111v1

    • [cs.CR]Blockchain: Emerging Applications and Use Cases
    Danda B. Rawat, Vijay Chaudhary, Ronald Doku
    http://arxiv.org/abs/1904.12247v1

    • [cs.CR]Exploring Information Centrality for Intrusion Detection in Large Networks
    Nidhi Rastogi
    http://arxiv.org/abs/1904.12138v1

    • [cs.CV]3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling
    Qianjiang Hu, Zehua Wang, Wei Hu, Xiang Gao, Zongming Guo
    http://arxiv.org/abs/1904.12284v1

    • [cs.CV]3D-SIC: 3D Semantic Instance Completion for RGB-D Scans
    Ji Hou, Angela Dai, Matthias Nießner
    http://arxiv.org/abs/1904.12012v1

    • [cs.CV]A New Method for Atlanta World Frame Estimation
    Yinlong Liu, Alois Knoll, Guang Chen
    http://arxiv.org/abs/1904.12717v1

    • [cs.CV]A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces
    Jianhao Jiao, Qinghai Liao, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu
    http://arxiv.org/abs/1904.12116v1

    • [cs.CV]A dual branch deep neural network for classification and detection in mammograms
    Ran Bakalo, Jacob Goldberger, Rami Ben-Ari
    http://arxiv.org/abs/1904.12589v1

    • [cs.CV]ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain
    Tu Bui, Daniel Cooper, John Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Keller, Olivier Thereaux, Alan Brown
    http://arxiv.org/abs/1904.12059v1

    • [cs.CV]Accelerating Proposal Generation Network for \Fast Face Detection on Mobile Devices
    Heming Zhang, Xiaolong Wang, Jingwen Zhu, C. -C. Jay Kuo
    http://arxiv.org/abs/1904.12094v1

    • [cs.CV]An approach to image denoising using manifold approximation without clean images
    Rohit Jena
    http://arxiv.org/abs/1904.12323v1

    • [cs.CV]Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning
    Xinyang Li, Jie Hu, Shengchuan Zhang, Xiaopeng Hong, Qixiang Ye, Chenglin Wu, Rongrong Ji
    http://arxiv.org/abs/1904.12428v1

    • [cs.CV]Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences
    Surabhi Verma, Julie Stephany Berrio, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/1904.12433v1

    • [cs.CV]Capturing human categorization of natural images at scale by combining deep networks and cognitive models
    Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths
    http://arxiv.org/abs/1904.12690v1

    • [cs.CV]Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning
    Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit
    http://arxiv.org/abs/1904.12534v1

    • [cs.CV]Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net
    Ran Bakalo, Rami Ben-Ari, Jacob Goldberger
    http://arxiv.org/abs/1904.12319v1

    • [cs.CV]Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding
    Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
    http://arxiv.org/abs/1904.12222v1

    • [cs.CV]DeLiO: Decoupled LiDAR Odometry
    Queens Maria Thomas, Oliver Wasenmüller, Didier Stricker
    http://arxiv.org/abs/1904.12667v1

    • [cs.CV]DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation
    Mingliang Fu, Weijia Zhou
    http://arxiv.org/abs/1904.12735v1

    • [cs.CV]Deferred Neural Rendering: Image Synthesis using Neural Textures
    Justus Thies, Michael Zollhöfer, Matthias Nießner
    http://arxiv.org/abs/1904.12356v1

    • [cs.CV]Domain Agnostic Learning with Disentangled Representations
    Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko
    http://arxiv.org/abs/1904.12347v1

    • [cs.CV]End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning
    Giorgio Morales, Alejandro Ramírez, Joel Telles
    http://arxiv.org/abs/1904.12743v1

    • [cs.CV]Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks
    Amod Jog, P. Ellen Grant, Joseph L. Jacobson, Andre van der Kouwe, Ernesta M. Meintjes, Bruce Fischl, Lilla Zöllei
    http://arxiv.org/abs/1904.12101v1

    • [cs.CV]HOG feature extraction from encrypted images for privacy-preserving machine learning
    Masaki Kitayama, Hitoshi Kiya
    http://arxiv.org/abs/1904.12434v1

    • [cs.CV]Hierarchical Recurrent Neural Network for Video Summarization
    Bin Zhao, Xuelong Li, Xiaoqiang Lu
    http://arxiv.org/abs/1904.12251v1

    • [cs.CV]Human-Centered Emotion Recognition in Animated GIFs
    Zhengyuan Yang, Yixuan Zhang, Jiebo Luo
    http://arxiv.org/abs/1904.12201v1

    • [cs.CV]Improved Conditional VRNNs for Video Prediction
    Lluis Castrejon, Nicolas Ballas, Aaron Courville
    http://arxiv.org/abs/1904.12165v1

    • [cs.CV]IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction
    Soshi Shimada, Vladislav Golyanik, Christian Theobalt, Didier Stricker
    http://arxiv.org/abs/1904.12144v1

    • [cs.CV]LeGR: Filter Pruning via Learned Global Ranking
    Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
    http://arxiv.org/abs/1904.12368v1

    • [cs.CV]Learning to Fuse Local Geometric Features for 3D Rigid Data Matching
    Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, Zhiguo Cao
    http://arxiv.org/abs/1904.12099v1

    • [cs.CV]Meta Anti-spoofing: Learning to Learn in Face Anti-spoofing
    Chenxu Zhao, Yunxiao Qin, Zezheng Wang, Tianyu Fu, Hailin Shi
    http://arxiv.org/abs/1904.12490v1

    • [cs.CV]Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
    Xiang He, Sibei Yang, Guanbin Li?, Haofeng Li, Huiyou Chang, Yizhou Yu
    http://arxiv.org/abs/1904.12181v1

    • [cs.CV]Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
    Xin Chen, Lingxi Xie, Jun Wu, Qi Tian
    http://arxiv.org/abs/1904.12760v1

    • [cs.CV]RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
    Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim
    http://arxiv.org/abs/1904.12304v1

    • [cs.CV]Recurrent Embedding Aggregation Network for Video Face Recognition
    Sixue Gong, Yichun Shi, Anil K. Jain, Nathan D. Kalka
    http://arxiv.org/abs/1904.12019v1

    • [cs.CV]Relevant features for Gender Classification in NIR Periocular Images
    Ignacio Viedma, Juan Tapia, Andres Iturriaga, Christoph Busch
    http://arxiv.org/abs/1904.12007v1

    • [cs.CV]Robust subspace clustering by Cauchy loss function
    Xuelong Li, Quanmao Lu, Yongsheng Dong, Dacheng Tao
    http://arxiv.org/abs/1904.12274v1

    • [cs.CV]Self-Attention Capsule Networks for Image Classification
    Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin
    http://arxiv.org/abs/1904.12483v1

    • [cs.CV]Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
    Fábio Perez, Sandra Avila, Eduardo Valle
    http://arxiv.org/abs/1904.12724v1

    • [cs.CV]Spatio-Temporal Filter Adaptive Network for Video Deblurring
    Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, Jimmy Ren
    http://arxiv.org/abs/1904.12257v1

    • [cs.CV]Style Transfer by Relaxed Optimal Transport and Self-Similarity
    Nicholas Kolkin, Jason Salavon, Greg Shakhnarovich
    http://arxiv.org/abs/1904.12785v1

    • [cs.CV]Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
    Kai Wang, Fuyuan Shi, Wenqi Wang, Yibing Nan, Shiguo Lian
    http://arxiv.org/abs/1904.12294v1

    • [cs.CV]Translate-to-Recognize Networks for RGB-D Scene Recognition
    Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu
    http://arxiv.org/abs/1904.12254v1

    • [cs.CV]Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network
    Ling Zhang, Zhigang Zhu
    http://arxiv.org/abs/1904.12359v1

    • [cs.CV]Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
    Ying Qu, Hairong Qi, Chiman Kwan
    http://arxiv.org/abs/1904.12175v1

    • [cs.CV]Weighted Dark Channel Dehazing
    Zhu Mingzhu, He Bingwei, Liu Jiantao
    http://arxiv.org/abs/1904.12245v1

    • [cs.CV]X-Ray Image Compression Using Convolutional Recurrent Neural Networks
    Asif Shahriyar Sushmit, Shakib Uz Zaman, Ahmed Imtiaz Humayun, Taufiq Hasan
    http://arxiv.org/abs/1904.12271v1

    • [cs.CY]Teaching AI, Ethics, Law and Policy
    Asher Wilk
    http://arxiv.org/abs/1904.12470v1

    • [cs.DC]A Practical Analysis of Rust’s Concurrency Story
    Aditya Saligrama, Andrew Shen, Jon Gjengset
    http://arxiv.org/abs/1904.12210v1

    • [cs.DC]Accurate MapReduce Algorithms for $k$-median and $k$-means in General Metric Spaces
    Alessio Mazzetto, Andrea Pietracaprina, Geppino Pucci
    http://arxiv.org/abs/1904.12728v1

    • [cs.DC]Reinforcement Learning Based Orchestration for Elastic Services
    M. Fadel Argerich, B. Cheng, J. Fürst
    http://arxiv.org/abs/1904.12676v1

    • [cs.DC]Winner-Take-All Computation in Spiking Neural Networks
    Nancy Lynch, Cameron Musco, Merav Parter
    http://arxiv.org/abs/1904.12591v1

    • [cs.DL]Venue Analytics: A Simple Alternative to Citation-Based Metrics
    Leonid Keselman
    http://arxiv.org/abs/1904.12573v1

    • [cs.DS]Pushing Lines Helps: Efficient Universal Centralised Transformations for Programmable Matter
    Abdullah Almethen, Othon Michail, Igor Potapov
    http://arxiv.org/abs/1904.12777v1

    • [cs.GR]TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures
    Anna Frühstück, Ibraheem Alhashim, Peter Wonka
    http://arxiv.org/abs/1904.12795v1

    • [cs.GT]Competitive Statistical Estimation with Strategic Data Sources
    Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
    http://arxiv.org/abs/1904.12768v1

    • [cs.HC]E-Gotsky: Sequencing Content using the Zone of Proximal Development
    Oded Vainas, Ori Bar-Ilan, Yossi Ben-David, Ran Gilad-Bachrach, Galit Lukin, Meitar Ronen, Roi Shillo, Daniel Sitton
    http://arxiv.org/abs/1904.12268v1

    • [cs.HC]TheFragebogen: A Web Browser-based Questionnaire Framework for Scientific Research
    Dennis Guse, Henrique R. Orefice, Gabriel Reimers, Oliver Hohlfeld
    http://arxiv.org/abs/1904.12568v1

    • [cs.HC]Vector Autoregressive POMDP Model Learning and Planning for Human-Robot Collaboration
    Wei Zheng, Hai Lin
    http://arxiv.org/abs/1904.12357v1

    • [cs.IR]Hierarchical Context enabled Recurrent Neural Network for Recommendation
    Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon
    http://arxiv.org/abs/1904.12674v1

    • [cs.IR]Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network
    Muhan Zhang, Yixin Chen
    http://arxiv.org/abs/1904.12058v1

    • [cs.IR]On the Effect of Low-Frequency Terms on Neural-IR Models
    Hofstätter, Sebastian, Rekabsaz, Navid, Eickhoff, Carsten, Hanbury, Allan
    http://arxiv.org/abs/1904.12683v1

    • [cs.IR]Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
    Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon Jose
    http://arxiv.org/abs/1904.12796v1

    • [cs.IT]A Cross-Layer Approach to Data-aided Sensing using Compressive Random Access
    Jinho Choi
    http://arxiv.org/abs/1904.12556v1

    • [cs.IT]A Simple Derivation of the Refined SPB for the Constant Composition Codes
    Barış Nakiboğlu
    http://arxiv.org/abs/1904.12780v1

    • [cs.IT]A short note on Goppa codes over Elementary Abelian $p$-Extensions of $\mathbb{F}_{p^s}(x)$
    Nupur Patanker, Sanjay Kumar Singh
    http://arxiv.org/abs/1904.12256v1

    • [cs.IT]Achieving Max-Min Throughput in LoRa Networks
    Jiangbin Lyu, Dan Yu, Liqun Fu
    http://arxiv.org/abs/1904.12300v1

    • [cs.IT]Analysis of reaction and timing attacks against cryptosystems based on sparse parity-check codes
    Paolo Santini, Massimo Battaglioni, Franco Chiaraluce, Marco Baldi
    http://arxiv.org/abs/1904.12215v1

    • [cs.IT]Asymptotic Analysis of RZF over Double Scattering Channels with MMSE Estimation
    Qurrat-Ul-Ain Nadeem, Abla Kammoun, Merouane Debbah, Mohamed-Slim Alouini
    http://arxiv.org/abs/1904.12197v1

    • [cs.IT]Decision Procedure for the Existence of Two-Channel Prefix-Free Codes
    Hoover H. F. Yin, Ka Hei Ng, Yu Ting Shing, Russell W. F. Lai, Xishi Wang
    http://arxiv.org/abs/1904.12112v1

    • [cs.IT]Experimental Demonstration of Data Transmission Based on the Exact Inverse Periodic Nonlinear Fourier Transform
    Jan-Willem Goossens, Yves Jaouën, Hartmut Hafermann
    http://arxiv.org/abs/1904.12824v1

    • [cs.IT]Learning-based Rate Adaptation for Uplink Massive MIMO Networks with Cooperative Data-Assisted Detection
    Yang Li, Zezhong Zhang, Rui Wang, Kaibin Huang, Yifan Chen
    http://arxiv.org/abs/1904.12168v1

    • [cs.IT]MISO Wireless Communication Systems via Intelligent Reflecting Surfaces
    Xianghao Yu, Dongfang Xu, Robert Schober
    http://arxiv.org/abs/1904.12199v1

    • [cs.IT]Machine Learning in the Air
    Deniz Gunduz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra Murthy, Mihaela van der Schaar
    http://arxiv.org/abs/1904.12385v1

    • [cs.IT]New Quantum Generalized Reed-Solomn Codes over Finite Fields
    Xiaolei Fang, Jinquan Luo
    http://arxiv.org/abs/1904.12441v1

    • [cs.IT]Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks
    Fang Fang, Yanqing Xu, Zhiguo Ding, Chao Shen, Mugen Peng, George K. Karagiannidis
    http://arxiv.org/abs/1904.12389v1

    • [cs.IT]Over-the-Air Computation via Intelligent Reflecting Surfaces
    Tao Jiang, Yuanming Shi
    http://arxiv.org/abs/1904.12475v1

    • [cs.IT]Partially Ordered Statistics Demapping for Multi-Dimensional Modulation Formats
    Djalal F. Bendimerad, Huijian Zhang, Ingmar Land, Hartmut Hafermann
    http://arxiv.org/abs/1904.12828v1

    • [cs.IT]Security of Covert Quantum Key Distribution under a Class of Coherent Attacks
    Mehrdad Tahmasbi, Matthieu R. Bloch
    http://arxiv.org/abs/1904.12363v1

    • [cs.IT]Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
    Ali Ahmed, Alireza Aghasi, Paul Hand
    http://arxiv.org/abs/1904.12680v1

    • [cs.IT]The Optimal Power Control Policy for an Energy Harvesting System with Look-Ahead: Bernoulli Energy Arrivals
    Ali Zibaeenejad, Jun Chen
    http://arxiv.org/abs/1904.12281v1

    • [cs.IT]Wireless Network Reliability Analysis for Arbitrary Network Topologies
    Semiha Tedik Basaran, Gunes Karabulut Kurt, Frank R. Kschischang
    http://arxiv.org/abs/1904.12736v1

    • [cs.LG]A Review of Modularization Techniques in Artificial Neural Networks
    Mohammed Amer, Tomás Maul
    http://arxiv.org/abs/1904.12770v1

    • [cs.LG]A convolution recurrent autoencoder for spatio-temporal missing data imputation
    Reza Asadi, Amelia Regan
    http://arxiv.org/abs/1904.12413v1

    • [cs.LG]Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization
    Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
    http://arxiv.org/abs/1904.12543v1

    • [cs.LG]Adversarial Speaker Adaptation
    Zhong Meng, Jinyu Li, Yifan Gong
    http://arxiv.org/abs/1904.12407v1

    • [cs.LG]Adversarial Training for Free!
    Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein
    http://arxiv.org/abs/1904.12843v1

    • [cs.LG]Analysis of Confident-Classifiers for Out-of-distribution Detection
    Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki
    http://arxiv.org/abs/1904.12220v1

    • [cs.LG]Application of Autoencoder-Assisted Recurrent Neural Networks to Prevent Cases of Sudden Infant Death Syndrome
    Maximilian Du
    http://arxiv.org/abs/1904.12386v1

    • [cs.LG]Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning
    Xu Hanchen, Li Xiao, Zhang Xiangyu, Zhang Junbo
    http://arxiv.org/abs/1904.12232v1

    • [cs.LG]Asymmetric Impurity Functions, Class Weighting, and Optimal Splits for Binary Classification Trees
    David Zimmermann
    http://arxiv.org/abs/1904.12465v1

    • [cs.LG]Attentive Adversarial Learning for Domain-Invariant Training
    Zhong Meng, Jinyu Li, Yifan Gong
    http://arxiv.org/abs/1904.12400v1

    • [cs.LG]Challenges and Pitfalls of Reproducing Machine Learning Artifacts
    Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu
    http://arxiv.org/abs/1904.12437v1

    • [cs.LG]Conditional Teacher-Student Learning
    Zhong Meng, Jinyu Li, Yong Zhao, Yifan Gong
    http://arxiv.org/abs/1904.12399v1

    • [cs.LG]ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
    Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
    http://arxiv.org/abs/1904.12546v1

    • [cs.LG]DAC: The Double Actor-Critic Architecture for Learning Options
    Shangtong Zhang, Shimon Whiteson
    http://arxiv.org/abs/1904.12691v1

    • [cs.LG]Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks
    Koby Bibas, Yaniv Fogel, Meir Feder
    http://arxiv.org/abs/1904.12286v1

    • [cs.LG]Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem
    Junyu Cao, Wei Sun
    http://arxiv.org/abs/1904.12445v1

    • [cs.LG]Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
    Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li
    http://arxiv.org/abs/1904.12043v1

    • [cs.LG]Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
    Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He
    http://arxiv.org/abs/1904.12383v1

    • [cs.LG]Evaluating Recurrent Neural Network Explanations
    Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek
    http://arxiv.org/abs/1904.11829v2

    • [cs.LG]Exploring Urban Air Quality with MAPS: Mobile Air Pollution Sensing
    Jun Song, Ke Han
    http://arxiv.org/abs/1904.12303v1

    • [cs.LG]Exponential Family Estimation via Adversarial Dynamics Embedding
    Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans
    http://arxiv.org/abs/1904.12083v1

    • [cs.LG]Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms
    Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer
    http://arxiv.org/abs/1904.12773v1

    • [cs.LG]Graph Matching Networks for Learning the Similarity of Graph Structured Objects
    Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli
    http://arxiv.org/abs/1904.12787v1

    • [cs.LG]Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update
    Gopi Sanghani, Ketan Kotecha
    http://arxiv.org/abs/1904.12118v1

    • [cs.LG]Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications
    Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
    http://arxiv.org/abs/1904.12004v1

    • [cs.LG]Learning walk and trot from the same objective using different types of exploration
    Zinan Liu, Kai Ploeger, Svenja Stark, Elmar Rueckert, Jan Peters
    http://arxiv.org/abs/1904.12336v1

    • [cs.LG]Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
    Taesik Na, Minah Lee, Burhan A. Mudassar, Priyabrata Saha, Jong Hwan Ko, Saibal Mukhopadhyay
    http://arxiv.org/abs/1904.12426v1

    • [cs.LG]Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without
    Sébastien Bubeck, Yuanzhi Li, Yuval Peres, Mark Sellke
    http://arxiv.org/abs/1904.12233v1

    • [cs.LG]Optimal Sparse Decision Trees
    Xiyang Hu, Cynthia Rudin, Margo Seltzer
    http://arxiv.org/abs/1904.12847v1

    • [cs.LG]Prediction with Unpredictable Feature Evolution
    Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
    http://arxiv.org/abs/1904.12171v1

    • [cs.LG]Real numbers, data science and chaos: How to fit any dataset with a single parameter
    Laurent Boué
    http://arxiv.org/abs/1904.12320v1

    • [cs.LG]Routing Networks and the Challenges of Modular and Compositional Computation
    Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger
    http://arxiv.org/abs/1904.12774v1

    • [cs.LG]SEALion: a Framework for Neural Network Inference on Encrypted Data
    Tim van Elsloo, Giorgio Patrini, Hamish Ivey-Law
    http://arxiv.org/abs/1904.12840v1

    • [cs.LG]Sample Amplification: Increasing Dataset Size even when Learning is Impossible
    Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant
    http://arxiv.org/abs/1904.12053v1

    • [cs.LG]Sistema Sensor para el Monitoreo Ambiental Basado en Redes Neuronales
    Jose de Jesus Rubio, Jose Alberto Hernandez-Aguilar, Francisco Jacob Avila-Camacho, Juan Manuel Stein-Carrillo, Adolfo Melendez-Ramirez
    http://arxiv.org/abs/1904.12234v1

    • [cs.LG]Soft edit distance for differentiable comparison of symbolic sequences
    Evgenii Ofitserov, Vasily Tsvetkov, Vadim Nazarov
    http://arxiv.org/abs/1904.12562v1

    • [cs.LG]Support Vector Regression via a Combined Reward Cum Penalty Loss Function
    Pritam Anand, Reshma Rastogi, Suresh Chandra
    http://arxiv.org/abs/1904.12331v1

    • [cs.LG]Survey on Automated Machine Learning
    Marc-André Zöller, Marco F. Huber
    http://arxiv.org/abs/1904.12054v1

    • [cs.LG]TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
    Fady Medhat, Mahnaz Mohammadi, Sardar Jaf, Chris G. Willcocks, Toby P. Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara
    http://arxiv.org/abs/1904.12387v1

    • [cs.LG]Temporal-Clustering Invariance in Irregular Healthcare Time Series
    Mohammad Taha Bahadori, Zachary Chase Lipton
    http://arxiv.org/abs/1904.12206v1

    • [cs.LG]The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure
    Rong Ge, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli
    http://arxiv.org/abs/1904.12838v1

    • [cs.LG]Towards Data Poisoning Attack against Knowledge Graph Embedding
    Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren
    http://arxiv.org/abs/1904.12052v1

    • [cs.LG]Unsupervised Data Augmentation
    Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, Quoc V. Le
    http://arxiv.org/abs/1904.12848v1

    • [cs.MS]Softmax Optimizations for Intel Xeon Processor-based Platforms
    Jacek Czaja, Michal Gallus, Tomasz Patejko, Jian Tang
    http://arxiv.org/abs/1904.12380v1

    • [cs.NE]Computational Approaches to Access Probabilistic Population Codes for Higher Cognition an Decision-Making
    Kevin Jasberg, Sergej Sizov
    http://arxiv.org/abs/1904.12651v1

    • [cs.NI]Periodic Bandits and Wireless Network Selection
    Shunhao Oh, Anuja Meetoo Appavoo, Seth Gilbert
    http://arxiv.org/abs/1904.12355v1

    • [cs.NI]Radio Resource Allocation for Reliable Out-of-coverage V2V Communications
    Taylan Şahin, Mate Boban
    http://arxiv.org/abs/1904.12710v1

    • [cs.NI]Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage
    Taylan Şahin, Ramin Khalili, Mate Boban, Adam Wolisz
    http://arxiv.org/abs/1904.12653v1

    • [cs.RO]Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning
    Masha Itkina, Katherine Driggs-Campbell, Mykel J. Kochenderfer
    http://arxiv.org/abs/1904.12374v1

    • [cs.RO]Efficient Computation of Higher-Order Variational Integrators in Robotic Simulation and Trajectory Optimization
    Taosha Fan, Jarvis Schultz, Todd Murphey
    http://arxiv.org/abs/1904.12756v1

    • [cs.RO]Fast path planning algorithms for Unmanned Aerial Vehicles
    Mohammad Reza Ranjbar Divkoti, Mostafa Nouri-Baygi
    http://arxiv.org/abs/1904.12283v1

    • [cs.RO]Non-myopic Planetary Exploration Combining In Situ and Remote Measurements
    Suhit Kodgule, Alberto Candela, David Wettergreen
    http://arxiv.org/abs/1904.12255v1

    • [cs.RO]Real-time Trajectory Generation for Quadrotors using B-spline based Non-uniform Kinodynamic Search
    Lvbang Tang, Hesheng Wang
    http://arxiv.org/abs/1904.12348v1

    • [cs.RO]STANCE: Locomotion Adaptation over Soft Terrain
    Shamel Fahmi, Michele Focchi, Andreea Radulescu, Geoff Fink, Victor Barasuol, Claudio Semini
    http://arxiv.org/abs/1904.12306v1

    • [cs.RO]Self Training Autonomous Driving Agent
    Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna U
    http://arxiv.org/abs/1904.12738v1

    • [cs.SD]Adversarial Speaker Verification
    Zhong Meng, Yong Zhao, Jinyu Li, Yifan Gong
    http://arxiv.org/abs/1904.12406v1

    • [cs.SD]Cough Detection Using Hidden Markov Models
    Aydin Teyhouee, Nathaniel D. Osgood
    http://arxiv.org/abs/1904.12354v1

    • [cs.SD]Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network
    Sharath Adavanne, Archontis Politis, Tuomas Virtanen
    http://arxiv.org/abs/1904.12769v1

    • [cs.SD]Towards Automation of Creativity: A Machine Intelligence Approach
    Subodh Deolekar, Siby Abraham
    http://arxiv.org/abs/1904.12194v1

    • [cs.SE]Counterexample-Driven Synthesis for Probabilistic Program Sketches
    Milan Češka, Christian Hensel, Sebastian Junges, Joost-Pieter Katoen
    http://arxiv.org/abs/1904.12371v1

    • [cs.SE]Enabling Open-World Specification Mining via Unsupervised Learning
    Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas Reps
    http://arxiv.org/abs/1904.12098v1

    • [cs.SE]Using Social Network Service to determine the Initial User Requirements for Small Software Businesses
    Nazakat Ali, Jang-Eui Hong
    http://arxiv.org/abs/1904.12583v1

    • [cs.SI]A Deep Generative Model for Graph Layout
    Oh-Hyun Kwon, Kwan-Liu Ma
    http://arxiv.org/abs/1904.12225v1

    • [cs.SI]A Socio-Informatic Approach to Automated Account Classification on Social Media
    Laurenz A Cornelissen, Petrus Schoonwinkel, Richard J Barnett
    http://arxiv.org/abs/1904.12149v1

    • [cs.SI]High Quality Degree Based Heuristics for the Influence Maximization Problem
    Maryam Adineh, Mostafa Nouri-Baygi
    http://arxiv.org/abs/1904.12164v1

    • [cs.SI]Local non-Bayesian social learning with stubborn agents
    Daniel Vial, Vijay Subramanian
    http://arxiv.org/abs/1904.12767v1

    • [cs.SI]StartupBR: Higher Education’s Influence on Social Networks and Entrepreneurship in Brazil
    Michelle Reddy, Júlio C. Nardelli, Yuri L. Pereira, Marisa Vasconcelos, Thiago H. Silva, Leonardo B. Oliveira, Mark Horowitz
    http://arxiv.org/abs/1904.12026v1

    • [econ.GN]Regulating AI: do we need new tools?
    Otello Ardovino, Jacopo Arpetti, Marco Delmastro
    http://arxiv.org/abs/1904.12134v1

    • [eess.AS]Neural source-filter waveform models for statistical parametric speech synthesis
    Xin Wang, Shinji Takaki, Junichi Yamagishi
    http://arxiv.org/abs/1904.12088v1

    • [eess.IV]Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
    Anmol Sharma, Ghassan Hamarneh
    http://arxiv.org/abs/1904.12200v1

    • [eess.SP]A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint
    Mingjin Wang, Feifei Gao, Mark F. Flanagan, Nir Shlezinger, Yonina C. Eldar
    http://arxiv.org/abs/1904.12272v1

    • [eess.SP]Asymptotic regime for improperness tests of complex random vectors
    Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton
    http://arxiv.org/abs/1904.12810v1

    • [hep-lat]Flow-based generative models for Markov chain Monte Carlo in lattice field theory
    M. S. Albergo, G. Kanwar, P. E. Shanahan
    http://arxiv.org/abs/1904.12072v1

    • [math.DS]Stability conditions of an ODE arising in human motion and its numerical simulation
    Takahiro Kosugi, Hitoshi Kino, Masaaki Goto, Yuki Matsutani
    http://arxiv.org/abs/1904.12394v1

    • [math.OC]Blended Matching Pursuit
    Cyrille W. Combettes, Sebastian Pokutta
    http://arxiv.org/abs/1904.12335v1

    • [math.OC]Making the Last Iterate of SGD Information Theoretically Optimal
    Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli
    http://arxiv.org/abs/1904.12443v1

    • [math.PR]Entropy inequalities and exponential decay of correlations for unique Gibbs measures on trees
    Andrei Alpeev
    http://arxiv.org/abs/1904.12352v1

    • [math.ST]A Closed Form Approximation of Moments of New Generalization of Negative Binomial Distribution
    Sudip Roy, Ram C. Tripathi, N. Balakrishnan
    http://arxiv.org/abs/1904.12459v1

    • [math.ST]Linearized two-layers neural networks in high dimension
    Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari
    http://arxiv.org/abs/1904.12191v1

    • [math.ST]Optimal Bayesian Estimation for Random Dot Product Graphs
    Fangzheng Xie, Yanxun Xu
    http://arxiv.org/abs/1904.12070v1

    • [math.ST]Properties of discrete Fisher information: Cramer-Rao-type and log-Sobolev-type inequalities
    Tomohiro Nishiyama
    http://arxiv.org/abs/1904.12704v1

    • [physics.comp-ph]Constraint-Aware Neural Networks for Riemann Problems
    Jim Magiera, Deep Ray, Jan S. Hesthaven, Christian Rohde
    http://arxiv.org/abs/1904.12794v1

    • [physics.comp-ph]Wave Physics as an Analog Recurrent Neural Network
    Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov, Shanhui Fan
    http://arxiv.org/abs/1904.12831v1

    • [q-bio.GN]Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
    Azam Yazdani, Akram Yazdani, Sarah H. Elsea, Daniel J. Schaid, Michael R. Kosorok, Gita Dangol, Ahmad Samiei
    http://arxiv.org/abs/1904.12652v1

    • [q-bio.NC]Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects
    Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
    http://arxiv.org/abs/1904.12023v1

    • [q-fin.CP]Gated deep neural networks for implied volatility surfaces
    Yu Zheng, Yongxin Yang, Bowei Chen
    http://arxiv.org/abs/1904.12834v1

    • [q-fin.RM]Tail models and the statistical limit of accuracy in risk assessment
    Ingo Hoffmann, Christoph J. Börner
    http://arxiv.org/abs/1904.12113v1

    • [stat.AP]Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ
    Abhishek Shah, Laurent Bertino, Francois Counillon, Mohamad El Gharamti, Jiping Xie
    http://arxiv.org/abs/1904.12590v1

    • [stat.AP]Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children’s Health Studies
    Ander Wilson, Yueh-Hsiu Mathilda Chiu, Hsiao-Hsien Leon Hsu, Robert O. Wright, Rosalind J. Wright, Brent A. Coull
    http://arxiv.org/abs/1904.12417v1

    • [stat.AP]Random spherical hyperbolic diffusion
    Phil Broadbridge, Alexander D. Kolesnik, Nikolai Leonenko, Andriy Olenko
    http://arxiv.org/abs/1904.12243v1

    • [stat.CO]Multilevel adaptive sparse Leja approximations for Bayesian inverse problems
    Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bunagrtz
    http://arxiv.org/abs/1904.12204v1

    • [stat.ME]Bayesian time-aligned factor analysis of paired multivariate time series
    Arkaprava Roy, Jana Schaich-Borg, David B Dunson
    http://arxiv.org/abs/1904.12103v1

    • [stat.ME]Comment on “Hidden truncation hyperbolic distributions, finite mixtures thereof and their application for clustering” Murray, Browne, and \McNicholas
    Geoffrey J. McLachlan, Sharon X. Lee
    http://arxiv.org/abs/1904.12057v1

    • [stat.ME]Estimation of distributional effects of treatment and control under selection on observables: consistency, weak convergence, and applications
    Pier Luigi Conti, Livia De Giovanni
    http://arxiv.org/abs/1904.12159v1

    • [stat.ME]Nonparametric maximum likelihood estimation under a likelihood ratio order
    Ted Westling, Kevin J. Downes, Dylan S. Small
    http://arxiv.org/abs/1904.12321v1

    • [stat.ME]Smoothing and Interpolating Noisy GPS Data with Smoothing Splines
    Jeffrey J. Early, Adam M. Sykulski
    http://arxiv.org/abs/1904.12064v1

    • [stat.ME]The Hyvärinen scoring rule in Gaussian linear time series models
    Silvia Columbu, Valentina Mameli, Monica Musio, A. Philip Dawid
    http://arxiv.org/abs/1904.12513v1

    • [stat.ME]Toward a principled Bayesian workflow in cognitive science
    Daniel J. Schad, Michael Betancourt, Shravan Vasishth
    http://arxiv.org/abs/1904.12765v1

    • [stat.ML]Graph Kernels: A Survey
    Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis
    http://arxiv.org/abs/1904.12218v1

    • [stat.ML]Low-Rank Principal Eigenmatrix Analysis
    Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu
    http://arxiv.org/abs/1904.12369v1

    • [stat.ML]Optimizing regularized Cholesky score for order-based learning of Bayesian networks
    Qiaoling Ye, Arash A. Amini, Qing Zhou
    http://arxiv.org/abs/1904.12360v1