astro-ph.IM - 仪器仪表和天体物理学方法 cond-mat.dis-nn - 无序系统与神经网络 cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.PF - 计算性能 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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.app-ph - 应用物理 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems
    • [cond-mat.dis-nn]Large deviations for the perceptron model and consequences for active learning
    • [cs.AI]From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions
    • [cs.AI]Intelligent Coordination among Multiple Traffic Intersections Using Multi-Agent Reinforcement Learning
    • [cs.AI]Learning Norms from Stories: A Prior for Value Aligned Agents
    • [cs.AI]Novel approach for solving a variant of equal flow problem
    • [cs.AI]Unsupervised Curricula for Visual Meta-Reinforcement Learning
    • [cs.CE]Prediction of Sewer Pipe Deterioration Using Random Forest Classification
    • [cs.CL]AI2D-RST: A multimodal corpus of 1000 primary school science diagrams
    • [cs.CL]Adversarial Analysis of Natural Language Inference Systems
    • [cs.CL]Effective Attention Modeling for Neural Relation Extraction
    • [cs.CL]Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings
    • [cs.CL]Personalized Patent Claim Generation and Measurement
    • [cs.CL]PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English
    • [cs.CL]Re-Translation Strategies For Long Form, Simultaneous, Spoken Language Translation
    • [cs.CL]Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities
    • [cs.CL]Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group
    • [cs.CR]Hardening Random Forest Cyber Detectors Against Adversarial Attacks
    • [cs.CR]Machine Unlearning
    • [cs.CR]Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter
    • [cs.CR]Security of Deep Learning Methodologies: Challenges and Opportunities
    • [cs.CV]A Real-time Global Inference Network for One-stage Referring Expression Comprehension
    • [cs.CV]Adversarial Pyramid Network for Video Domain Generalization
    • [cs.CV]Amora: Black-box Adversarial Morphing Attack
    • [cs.CV]An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks
    • [cs.CV]Bi-Semantic Reconstructing Generative Network for Zero-shot Learning
    • [cs.CV]Bidirectional Scene Text Recognition with a Single Decoder
    • [cs.CV]Bilinear Models for Machine Learning
    • [cs.CV]Bundle Adjustment Revisited
    • [cs.CV]CNN-based Lidar Point Cloud De-Noising in Adverse Weather
    • [cs.CV]Capsule-Based Persian/Arabic Robust Handwritten Digit Recognition Using EM Routing
    • [cs.CV]ClusterFit: Improving Generalization of Visual Representations
    • [cs.CV]DAVID: Dual-Attentional Video Deblurring
    • [cs.CV]Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs
    • [cs.CV]Deep Distance Transform for Tubular Structure Segmentation in CT Scans
    • [cs.CV]Deep Reflection Prior
    • [cs.CV]DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image
    • [cs.CV]Detection of False Positive and False Negative Samples in Semantic Segmentation
    • [cs.CV]Digital Twin: Acquiring High-Fidelity 3D Avatar from a Single Image
    • [cs.CV]Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction
    • [cs.CV]Dually Supervised Feature Pyramid for Object Detection and Segmentation
    • [cs.CV]Dynamic Convolution: Attention over Convolution Kernels
    • [cs.CV]Efficient Object Detection in Large Images using Deep Reinforcement Learning
    • [cs.CV]Environment reconstruction on depth images using Generative Adversarial Networks
    • [cs.CV]Face Beautification: Beyond Makeup Transfer
    • [cs.CV]Feature Augmentation Improves Anomalous Change Detection for Human Activity Identification in Synthetic Aperture Radar Imagery
    • [cs.CV]Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance
    • [cs.CV]ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
    • [cs.CV]ILS-SUMM: Iterated Local Search for Unsupervised Video Summarization
    • [cs.CV]Improved Few-Shot Visual Classification
    • [cs.CV]Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language
    • [cs.CV]Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization
    • [cs.CV]Learning Structure-Appearance Joint Embedding for Indoor Scene Image Synthesis
    • [cs.CV]Learning a Layout Transfer Network for Context Aware Object Detection
    • [cs.CV]Learning a Neural 3D Texture Space from 2D Exemplars
    • [cs.CV]Long Term Temporal Context for Per-Camera Object Detection
    • [cs.CV]Lossless Compression for 3DCNNs Based on Tensor Train Decomposition
    • [cs.CV]Neural Network Generalization: The impact of camera parameters
    • [cs.CV]Patch Aggregator for Scene Text Script Identification
    • [cs.CV]Quantization Networks
    • [cs.CV]SaLite : A light-weight model for salient object detection
    • [cs.CV]SampleNet: Differentiable Point Cloud Sampling
    • [cs.CV]Selective Synthetic Augmentation with Quality Assurance
    • [cs.CV]Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
    • [cs.CV]Self-supervised Object Motion and Depth Estimation from Video
    • [cs.CV]ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
    • [cs.CV]Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
    • [cs.CV]Side-Aware Boundary Localization for More Precise Object Detection
    • [cs.CV]SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery
    • [cs.CV]Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment
    • [cs.CV]Synthetic Humans for Action Recognition from Unseen Viewpoints
    • [cs.CV]Universal Material Translator: Towards Spoof Fingerprint Generalization
    • [cs.CV]VM-Net: Mesh Modeling to Assist Segmentation in Volumetric Data
    • [cs.CV]View-invariant Deep Architecture for Human Action Recognition using late fusion
    • [cs.CV]VoronoiNet: General Functional Approximators with Local Support
    • [cs.CV]Zero-shot Recognition of Complex Action Sequences
    • [cs.CY]A percolation model for the emergence of the Bitcoin Lightning Network
    • [cs.CY]Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
    • [cs.CY]High performance computing and energy efficiency: focus on OpenFOAM
    • [cs.CY]Towards a Critical Race Methodology in Algorithmic Fairness
    • [cs.DB]AutoBlock: A Hands-off Blocking Framework for Entity Matching
    • [cs.DC]A study on Modern Messaging Systems- Kafka, RabbitMQ and NATS Streaming
    • [cs.DC]BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters
    • [cs.DC]Data Replication for Reducing Computing Time inDistributed Systems with Stragglers
    • [cs.DC]Dissecting the Graphcore IPU Architecture via Microbenchmarking
    • [cs.DC]Generalized Data Placement Strategies for Racetrack Memories
    • [cs.DC]Lightweight Container-based User Environment
    • [cs.DC]Nova — A rainbow cloud over the Alps
    • [cs.DC]Programming Scalable Cloud Services with AEON
    • [cs.DS]A Deterministic Algorithm for the MST Problem in Constant Rounds of Congested Clique
    • [cs.DS]Approximating the Determinant of Well-Conditioned Matrices by Shallow Circuits
    • [cs.DS]Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation
    • [cs.GR]Spectral domain decomposition method for physically-based rendering of Royaumont abbey
    • [cs.GT]Anchoring Theory in Sequential Stackelberg Games
    • [cs.IR]Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering
    • [cs.IR]It Runs in the Family: Searching for Similar Names using Digitized Family Trees
    • [cs.IR]Query Auto Completion for Math Formula Search
    • [cs.IR]ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert
    • [cs.IT]A Novel Cross Entropy Approach for Offloading Learning in Mobile Edge Computing
    • [cs.IT]Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation
    • [cs.IT]Community Detection and Matrix Completion with Two-Sided Graph Side-Information
    • [cs.IT]Hand and Body Blockage Measurements with Form-Factor User Equipment at 28 GHz
    • [cs.IT]How to Distribute Computation in Networks
    • [cs.IT]Linear Complementary Pair Of Abelian Codes over Finite Chain Rings
    • [cs.IT]Optimal Link Scheduling in Millimeter Wave Multi-hop Networks with MU-MIMO radios
    • [cs.IT]Reconfigurable Intelligent Surface-Based Wireless Communication: Antenna Design, Prototyping and Experimental Results
    • [cs.LG]$\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records
    • [cs.LG]A Convolutional Neural Network for User Identification based on Motion Sensors
    • [cs.LG]A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units
    • [cs.LG]A novel guided deep learning algorithm to design low-cost SPP films
    • [cs.LG]AI, how can humans communicate better with you?
    • [cs.LG]Adversarial recovery of agent rewards from latent spaces of the limit order book
    • [cs.LG]An empirical study of neural networks for trend detection in time series
    • [cs.LG]Attentive Representation Learning with Adversarial Training for Short Text Clustering
    • [cs.LG]Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization
    • [cs.LG]ChainerRL: A Deep Reinforcement Learning Library
    • [cs.LG]Comparison of Neuronal Attention Models
    • [cs.LG]Cost-Sensitive Training for Autoregressive Models
    • [cs.LG]Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances
    • [cs.LG]Decision Support System for Detection and Classification of Skin Cancer using CNN
    • [cs.LG]Deep Generalization of Structured Low Rank Algorithms (Deep-SLR)
    • [cs.LG]Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations
    • [cs.LG]Deep Learning-based Hybrid Graph-Coloring Algorithm for Register Allocation
    • [cs.LG]Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms
    • [cs.LG]Does Interpretability of Neural Networks Imply Adversarial Robustness?
    • [cs.LG]Efficient Black-box Assessment of Autonomous Vehicle Safety
    • [cs.LG]Expert-guided Regularization via Distance Metric Learning
    • [cs.LG]Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks
    • [cs.LG]Feature Engineering Combined with 1 D Convolutional Neural Network for Improved Mortality Prediction
    • [cs.LG]Geometric Capsule Autoencoders for 3D Point Clouds
    • [cs.LG]Getting Topology and Point Cloud Generation to Mesh
    • [cs.LG]Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease
    • [cs.LG]Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction
    • [cs.LG]Group Fairness in Bandit Arm Selection
    • [cs.LG]Grouped sparse projection
    • [cs.LG]Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
    • [cs.LG]In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors
    • [cs.LG]InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
    • [cs.LG]Learning Latent State Spaces for Planning through Reward Prediction
    • [cs.LG]Learning Sparse Representations Incrementally in Deep Reinforcement Learning
    • [cs.LG]Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation
    • [cs.LG]Location Trace Privacy Under Conditional Priors
    • [cs.LG]Meta-Learning without Memorization
    • [cs.LG]MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
    • [cs.LG]Neural Networks with Cheap Differential Operators
    • [cs.LG]No Representation without Transformation
    • [cs.LG]Nonparametric Bayesian Structure Adaptation for Continual Learning
    • [cs.LG]Optimizing Rank-based Metrics with Blackbox Differentiation
    • [cs.LG]PIDForest: Anomaly Detection via Partial Identification
    • [cs.LG]Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings
    • [cs.LG]Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
    • [cs.LG]Principal Component Properties of Adversarial Samples
    • [cs.LG]Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments
    • [cs.LG]Recurrent Point Processes for Dynamic Review Models
    • [cs.LG]Robust Deep Ordinal Regression Under Label Noise
    • [cs.LG]Short-term Load Forecasting with Dense Average Network
    • [cs.LG]Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data
    • [cs.LG]Temporal Factorization of 3D Convolutional Kernels
    • [cs.LG]Transformer Based Reinforcement Learning For Games
    • [cs.LG]Tropical Geometry and Piecewise-Linear Approximation of Curves and Surfaces on Weighted Lattices
    • [cs.LG]cGANs with Multi-Hinge Loss
    • [cs.MA]The surprising little effectiveness of cooperative algorithms in parallel problem solving
    • [cs.NE]Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles
    • [cs.NE]Reinforcement Learning with Convolutional Reservoir Computing
    • [cs.PF]Scheduling in the Presence of Data IntensiveCompute Jobs
    • [cs.RO]6-DOF Grasping for Target-driven Object Manipulation in Clutter
    • [cs.RO]An Interactive Indoor Drone Assistant
    • [cs.RO]Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving
    • [cs.RO]Effects of a Social Force Model reward in Robot Navigation based on Deep Reinforcement Learning
    • [cs.RO]LiDAR Iris for Loop-Closure Detection
    • [cs.RO]Phase Portraits as Movement Primitives for Fast Humanoid Robot Control
    • [cs.RO]Reinforcement Learning based Visual Navigation with Information-Theoretic Regularization
    • [cs.RO]Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes
    • [cs.RO]Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model
    • [cs.SD]MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing
    • [cs.SE]Accepted or Abandoned? Predicting the Fate of Code Changes
    • [cs.SE]Is AI different for SE?
    • [cs.SI]A Multi-Feature Diffusion Model: Rumor Blocking in Social Networks
    • [cs.SI]Determining Individual Origin Similarity (DInOS): Binary Classification of Authors Using Stylometric Features
    • [cs.SI]Distinctiveness Centrality in Social Networks
    • [cs.SI]Monotone Submodular Diversity functions for Categorical Vectors with Application to Diversification of Seeds for Targeted Influence Maximization
    • [cs.SI]Opinion Dynamics with Random Actions and a Stubborn Agent
    • [cs.SI]Subreddit R/unpopularopinion: Against the Spiral of Silence
    • [eess.AS]A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Database
    • [eess.AS]Audio-attention discriminative language model for ASR rescoring
    • [eess.IV]Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence
    • [eess.IV]DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting
    • [eess.IV]Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features
    • [eess.IV]Estimation of Muscle Fascicle Orientation in Ultrasonic Images
    • [eess.IV]Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging
    • [eess.IV]Naive Gabor Networks
    • [eess.IV]Sparse and redundant signal representations for x-ray computed tomography
    • [eess.SP]Asymmetric Correntropy for Robust Adaptive Filtering
    • [eess.SP]Fully Dense Neural Network for the Automatic Modulation Recognition
    • [eess.SP]Reconfigurable Intelligent Surfaces for Doppler Effect and Multipath Fading Mitigation
    • [eess.SY]Daily Data Assimilation of a Hydrologic Model Using the Ensemble Kalman Filter
    • [eess.SY]Distributed AC-DC Optimal Power Flow in the European Transmission Grid with ADMM
    • [eess.SY]Minimal Sufficient Conditions for Structural Observability/Controllability of Composite Networks via Kronecker Product
    • [eess.SY]Relativistic Control: Feedback Control of Relativistic Dynamics
    • [math.MG]Globally optimizing small codes in real projective spaces
    • [math.NA]Deep Ritz revisited
    • [math.OC]Continuous-time Discounted Mirror-Descent Dynamics in Monotone Concave Games
    • [math.ST]A new inequality for maximum likelihood estimation in statistical models with latent variables
    • [math.ST]An empirical $G$-Wishart prior for sparse high-dimensional Gaussian graphical models
    • [math.ST]Conditional Mutual Information Estimation for Mixed Discrete and Continuous Variables with Nearest Neighbors
    • [math.ST]Goodness-of-fit tests for functional form of Linear Mixed effects Models
    • [math.ST]Heterogeneous hypergeometric functions with two matrix arguments and the exact distribution of the largest eigenvalue of a singular beta-Wishart matrix
    • [math.ST]On the rate of convergence of a neural network regression estimate learned by gradient descent
    • [math.ST]Over-parametrized deep neural networks do not generalize well
    • [math.ST]Sequential Estimation of Network Cascades
    • [math.ST]Testing Independence with the Binary Expansion Randomized Ensemble Test
    • [math.ST]Theory on Covariate-Adaptive Randomized Clinical Trials: Efficiency, Selection bias and Randomization Methods
    • [math.ST]Tighter Confidence Intervals for Rating Systems
    • [nlin.AO]Reconstruction of traffic speed distributions from kinetic models with uncertainties
    • [physics.app-ph]Automated Classification of Helium Ingress in Irradiated X-750
    • [physics.comp-ph]Beam-tracing domain decomposition method for urban acoustic pollution
    • [physics.data-an]Gradient Profile Estimation Using Exponential Cubic Spline Smoothing in a Bayesian Framework
    • [physics.soc-ph]Insights On Streamflow Predictability Across Scales Using Horizontal Visibility Graph Based Networks
    • [physics.soc-ph]Overlapping Communities and the Prediction of Missing Links in Multiplex Networks
    • [physics.soc-ph]Weighted temporal event graphs
    • [q-bio.NC]Modeling somatic computation with non-neural bioelectric networks
    • [q-bio.PE]Quantitative genetic algorithms
    • [quant-ph]Relative Entropy and Catalytic Relative Majorization
    • [quant-ph]Universal limitations on quantum key distribution over a network
    • [stat.AP]Experimental Designs for Accelerated Degradation Tests Based on Gamma Process Models
    • [stat.AP]How much is optimal reinsurance degraded by error?
    • [stat.AP]Identification of causal intervention effects under contagion
    • [stat.AP]Optimal reinsurance for risk over surplus ratios
    • [stat.AP]Ordering properties of the smallest and largest lifetimes in Gompertz-Makeham model
    • [stat.AP]Phase I analysis of hidden operating status for wind turbine
    • [stat.AP]Spatial Weibull Regression with Multivariate Log Gamma Process and Its Applications to China Earthquake Economic Loss
    • [stat.AP]Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution
    • [stat.AP]VAT tax gap prediction: a 2-steps Gradient Boosting approach
    • [stat.ME]A goodness of fit test for two component two parameter Weibull mixtures
    • [stat.ME]A kernel log-rank test of independence for right-censored data
    • [stat.ME]Approximate Factor Models with Strongly Correlated Idiosyncratic Errors
    • [stat.ME]Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
    • [stat.ME]Cellwise Robust M Regression
    • [stat.ME]Conditional Kernel Density Estimation Considering Autocorrelation for Renewable Energy Probabilistic Modeling
    • [stat.ME]Energy distance and kernel mean embeddings for two-sample survival testing
    • [stat.ME]Estimating an Extreme Bayesian Network via Scalings
    • [stat.ME]Improved Covariance Matrix Estimator using Shrinkage Transformation and Random Matrix Theory
    • [stat.ME]Improved Multiple Confidence Intervals via Thresholding Informed by Prior Information
    • [stat.ME]Kendall’s Tau for Functional Data Analysis
    • [stat.ME]Logistic regression models for aggregated data
    • [stat.ME]Mastering the body and tail shape of a distribution
    • [stat.ME]PRISM: Patient Response Identifiers for Stratified Medicine
    • [stat.ME]Regularized Estimation of High-dimensional Factor-Augmented Autoregressive (FAVAR) Models
    • [stat.ML]A time resolved clustering method revealing longterm structures and their short-term internal dynamics
    • [stat.ML]An interpretable probabilistic machine learning method for heterogeneous longitudinal studies
    • [stat.ML]Contrast Trees and Distribution Boosting
    • [stat.ML]Deep Variable-Block Chain with Adaptive Variable Selection
    • [stat.ML]Learning Disentangled Representations via Mutual Information Estimation
    • [stat.ML]No-Regret Exploration in Goal-Oriented Reinforcement Learning
    • [stat.ML]Optimism in Reinforcement Learning with Generalized Linear Function Approximation

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

    • [astro-ph.IM]Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems
    Francois Lanusse, Peter Melchior, Fred Moolekamp
    http://arxiv.org/abs/1912.03980v1

    • [cond-mat.dis-nn]Large deviations for the perceptron model and consequences for active learning
    Hugo Cui, Luca Saglietti, Lenka Zdeborová
    http://arxiv.org/abs/1912.03927v1

    • [cs.AI]From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions
    Warren B Powell
    http://arxiv.org/abs/1912.03513v1

    • [cs.AI]Intelligent Coordination among Multiple Traffic Intersections Using Multi-Agent Reinforcement Learning
    Ujwal Padam Tewari, Vishal Bidawatka, Varsha Raveendran, Vinay Sudhakaran
    http://arxiv.org/abs/1912.03851v1

    • [cs.AI]Learning Norms from Stories: A Prior for Value Aligned Agents
    Spencer Frazier, Md Sultan Al Nahian, Mark Riedl, Brent Harrison
    http://arxiv.org/abs/1912.03553v1

    • [cs.AI]Novel approach for solving a variant of equal flow problem
    Sasikanth Goteti, Swapnil Kumar
    http://arxiv.org/abs/1912.04034v1

    • [cs.AI]Unsupervised Curricula for Visual Meta-Reinforcement Learning
    Allan Jabri, Kyle Hsu, Ben Eysenbach, Abhishek Gupta, Sergey Levine, Chelsea Finn
    http://arxiv.org/abs/1912.04226v1

    • [cs.CE]Prediction of Sewer Pipe Deterioration Using Random Forest Classification
    Razieh Tavakoli, Ali Sharifara, Mohammad Najafi
    http://arxiv.org/abs/1912.04194v1

    • [cs.CL]AI2D-RST: A multimodal corpus of 1000 primary school science diagrams
    Tuomo Hiippala, Malihe Alikhani, Jonas Haverinen, Timo Kalliokoski, Evanfiya Logacheva, Serafina Orekhova, Aino Tuomainen, Matthew Stone, John A. Bateman
    http://arxiv.org/abs/1912.03879v1

    • [cs.CL]Adversarial Analysis of Natural Language Inference Systems
    Tiffany Chien, Jugal Kalita
    http://arxiv.org/abs/1912.03441v1

    • [cs.CL]Effective Attention Modeling for Neural Relation Extraction
    Tapas Nayak, Hwee Tou Ng
    http://arxiv.org/abs/1912.03832v1

    • [cs.CL]Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings
    Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
    http://arxiv.org/abs/1912.03366v1

    • [cs.CL]Personalized Patent Claim Generation and Measurement
    Jieh-Sheng Lee
    http://arxiv.org/abs/1912.03502v1

    • [cs.CL]PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English
    Kelechi Ogueji, Orevaoghene Ahia
    http://arxiv.org/abs/1912.03444v1

    • [cs.CL]Re-Translation Strategies For Long Form, Simultaneous, Spoken Language Translation
    Naveen Arivazhagan, Colin Cherry, Te I, Wolfgang Macherey, Pallavi Baljekar, George Foster
    http://arxiv.org/abs/1912.03393v1

    • [cs.CL]Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities
    Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali
    http://arxiv.org/abs/1912.03457v1

    • [cs.CL]Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group
    Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
    http://arxiv.org/abs/1912.03804v1

    • [cs.CR]Hardening Random Forest Cyber Detectors Against Adversarial Attacks
    Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti
    http://arxiv.org/abs/1912.03790v1

    • [cs.CR]Machine Unlearning
    Lucas Bourtoule, Varun Chandrasekaran, Christopher Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot
    http://arxiv.org/abs/1912.03817v1

    • [cs.CR]Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter
    Ansgar Kellner, Lisa Rangosch, Christian Wressnegger, Konrad Rieck
    http://arxiv.org/abs/1912.04143v1

    • [cs.CR]Security of Deep Learning Methodologies: Challenges and Opportunities
    Shahbaz Rezaei, Xin Liu
    http://arxiv.org/abs/1912.03735v1

    • [cs.CV]A Real-time Global Inference Network for One-stage Referring Expression Comprehension
    Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-wen Lin, Qi Tian
    http://arxiv.org/abs/1912.03478v1

    • [cs.CV]Adversarial Pyramid Network for Video Domain Generalization
    Zhiyu Yao, Yunbo Wang, Xingqiang Du, Mingsheng Long, Jianmin Wang
    http://arxiv.org/abs/1912.03716v1

    • [cs.CV]Amora: Black-box Adversarial Morphing Attack
    Run Wang, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Yihao Huang, Yang Liu
    http://arxiv.org/abs/1912.03829v1

    • [cs.CV]An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks
    Moein Hasani, Hassan Khotanlou
    http://arxiv.org/abs/1912.04259v1

    • [cs.CV]Bi-Semantic Reconstructing Generative Network for Zero-shot Learning
    Xu Shibing, Gao Zishu
    http://arxiv.org/abs/1912.03877v1

    • [cs.CV]Bidirectional Scene Text Recognition with a Single Decoder
    Maurits Bleeker, Maarten de Rijke
    http://arxiv.org/abs/1912.03656v1

    • [cs.CV]Bilinear Models for Machine Learning
    Tayssir Doghri, Leszek Szczecinski, Jacob Benesty, Amar Mitiche
    http://arxiv.org/abs/1912.03354v1

    • [cs.CV]Bundle Adjustment Revisited
    Yu Chen, Yisong Chen, Guoping Wang
    http://arxiv.org/abs/1912.03858v1

    • [cs.CV]CNN-based Lidar Point Cloud De-Noising in Adverse Weather
    Robin Heinzler, Florian Piewak, Philipp Schindler, Wilhelm Stork
    http://arxiv.org/abs/1912.03874v1

    • [cs.CV]Capsule-Based Persian/Arabic Robust Handwritten Digit Recognition Using EM Routing
    Ali Ghofrani, Rahil Mahdian Toroghi
    http://arxiv.org/abs/1912.03634v1

    • [cs.CV]ClusterFit: Improving Generalization of Visual Representations
    Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan
    http://arxiv.org/abs/1912.03330v1

    • [cs.CV]DAVID: Dual-Attentional Video Deblurring
    Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang
    http://arxiv.org/abs/1912.03445v1

    • [cs.CV]Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs
    Taimur Hassan, Salman H. Khan, Samet Akcay, Mohammed Bennamoun, Naoufel Werghi
    http://arxiv.org/abs/1912.04251v1

    • [cs.CV]Deep Distance Transform for Tubular Structure Segmentation in CT Scans
    Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille
    http://arxiv.org/abs/1912.03383v1

    • [cs.CV]Deep Reflection Prior
    Qingnan Fan, Yingda Yin, Dongdong Chen, Yujie Wang, Angelica Aviles-Rivero, Ruoteng Li, Carola-Bibiane Schnlieb, Dani Lischinski, Baoquan Chen
    http://arxiv.org/abs/1912.03623v1

    • [cs.CV]DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image
    Fuyang Huang, Ailing Zeng, Minhao Liu, Qiuxia Lai, Qiang Xu
    http://arxiv.org/abs/1912.04071v1

    • [cs.CV]Detection of False Positive and False Negative Samples in Semantic Segmentation
    Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
    http://arxiv.org/abs/1912.03673v1

    • [cs.CV]Digital Twin: Acquiring High-Fidelity 3D Avatar from a Single Image
    Ruizhe Wang, Chih-Fan Chen, Hao Peng, Xudong Liu, Oliver Liu, Xin Li
    http://arxiv.org/abs/1912.03455v1

    • [cs.CV]Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction
    Junyu Gao, Tao Han, Qi Wang, Yuan Yuan
    http://arxiv.org/abs/1912.03677v1

    • [cs.CV]Dually Supervised Feature Pyramid for Object Detection and Segmentation
    Fan Yang, Cheng Lv, Yandong Guo, Longin Jan Latecki, Haibin Ling
    http://arxiv.org/abs/1912.03730v1

    • [cs.CV]Dynamic Convolution: Attention over Convolution Kernels
    Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu
    http://arxiv.org/abs/1912.03458v1

    • [cs.CV]Efficient Object Detection in Large Images using Deep Reinforcement Learning
    Burak Uzkent, Christopher Yeh, Stefano Ermon
    http://arxiv.org/abs/1912.03966v1

    • [cs.CV]Environment reconstruction on depth images using Generative Adversarial Networks
    Lucas P. N. Matias, Jefferson R. Souza, Denis F. Wolf
    http://arxiv.org/abs/1912.03992v1

    • [cs.CV]Face Beautification: Beyond Makeup Transfer
    Xudong Liu, Ruizhe Wang, Chih-Fan Chen, Minglei Yin, Hao Peng, Shukhan Ng, Xin Li
    http://arxiv.org/abs/1912.03630v1

    • [cs.CV]Feature Augmentation Improves Anomalous Change Detection for Human Activity Identification in Synthetic Aperture Radar Imagery
    Hannah J. Murphy, Christopher X. Ren, Matthew T. Calef
    http://arxiv.org/abs/1912.03539v1

    • [cs.CV]Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance
    Junyu Gao, Qi Wang, Yuan Yuan
    http://arxiv.org/abs/1912.03672v1

    • [cs.CV]ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
    Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier
    http://arxiv.org/abs/1912.03713v1

    • [cs.CV]ILS-SUMM: Iterated Local Search for Unsupervised Video Summarization
    Yair Shemer, Daniel Rotman, Nahum Shimkin
    http://arxiv.org/abs/1912.03650v1

    • [cs.CV]Improved Few-Shot Visual Classification
    Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal
    http://arxiv.org/abs/1912.03432v1

    • [cs.CV]Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language
    Songyang Zhang, Houwen Peng, Jianlong Fu, Jiebo Luo
    http://arxiv.org/abs/1912.03590v1

    • [cs.CV]Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization
    Songyang Zhang, Houwen Peng, Le Yang, Jianlong Fu, Jiebo Luo
    http://arxiv.org/abs/1912.03612v1

    • [cs.CV]Learning Structure-Appearance Joint Embedding for Indoor Scene Image Synthesis
    Yuan Xue, Zihan Zhou, Xiaolei Huang
    http://arxiv.org/abs/1912.03840v1

    • [cs.CV]Learning a Layout Transfer Network for Context Aware Object Detection
    Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao
    http://arxiv.org/abs/1912.03865v1

    • [cs.CV]Learning a Neural 3D Texture Space from 2D Exemplars
    Philipp Henzler, Niloy J. Mitra, Tobias Ritschel
    http://arxiv.org/abs/1912.04158v1

    • [cs.CV]Long Term Temporal Context for Per-Camera Object Detection
    Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang
    http://arxiv.org/abs/1912.03538v1

    • [cs.CV]Lossless Compression for 3DCNNs Based on Tensor Train Decomposition
    Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu
    http://arxiv.org/abs/1912.03647v1

    • [cs.CV]Neural Network Generalization: The impact of camera parameters
    Zhenyi Liu, Trisha Lian, Joyce Farrell, Brian Wandell
    http://arxiv.org/abs/1912.03604v1

    • [cs.CV]Patch Aggregator for Scene Text Script Identification
    Changxu Cheng, Qiuhui Huang, Xiang Bai, Bin Feng, Wenyu Liu
    http://arxiv.org/abs/1912.03818v1

    • [cs.CV]Quantization Networks
    Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xiansheng Hua
    http://arxiv.org/abs/1911.09464v2

    • [cs.CV]SaLite : A light-weight model for salient object detection
    Kitty Varghese, Sauradip Nag
    http://arxiv.org/abs/1912.03641v1

    • [cs.CV]SampleNet: Differentiable Point Cloud Sampling
    Itai Lang, Asaf Manor, Shai Avidan
    http://arxiv.org/abs/1912.03663v1

    • [cs.CV]Selective Synthetic Augmentation with Quality Assurance
    Yuan Xue, Jiarong Ye, Rodney Long, Sameer Antani, Zhiyun Xue, Xiaolei Huang
    http://arxiv.org/abs/1912.03837v1

    • [cs.CV]Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
    Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon
    http://arxiv.org/abs/1912.03426v1

    • [cs.CV]Self-supervised Object Motion and Depth Estimation from Video
    Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler
    http://arxiv.org/abs/1912.04250v1

    • [cs.CV]ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
    Anil S. Baslamisli, Partha Das, Hoang-An Le, Sezer Karaoglu, Theo Gevers
    http://arxiv.org/abs/1912.04023v1

    • [cs.CV]Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
    Yuan Xue, Hui Tang, Zhi Qiao, Guanzhong Gong, Yong Yin, Zhen Qian, Chao Huang, Wei Fan, Xiaolei Huang
    http://arxiv.org/abs/1912.03849v1

    • [cs.CV]Side-Aware Boundary Localization for More Precise Object Detection
    Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin
    http://arxiv.org/abs/1912.04260v1

    • [cs.CV]SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery
    Xin Hou, Biao Wang, Lei Yin, Haishan Wu
    http://arxiv.org/abs/1912.03685v1

    • [cs.CV]Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment
    Behnoosh Parsa, Athma Narayanan, Behzad Dariush
    http://arxiv.org/abs/1912.03442v1

    • [cs.CV]Synthetic Humans for Action Recognition from Unseen Viewpoints
    Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman
    http://arxiv.org/abs/1912.04070v1

    • [cs.CV]Universal Material Translator: Towards Spoof Fingerprint Generalization
    Rohit Gajawada, Additya Popli, Tarang Chugh, Anoop Namboodiri, Anil K. Jain
    http://arxiv.org/abs/1912.03737v1

    • [cs.CV]VM-Net: Mesh Modeling to Assist Segmentation in Volumetric Data
    Udaranga Wickramasinghe, Graham Knott, Pascal Fua
    http://arxiv.org/abs/1912.03681v1

    • [cs.CV]View-invariant Deep Architecture for Human Action Recognition using late fusion
    Chhavi Dhiman, Dinesh Kumar Vishwakarma
    http://arxiv.org/abs/1912.03632v1

    • [cs.CV]VoronoiNet: General Functional Approximators with Local Support
    Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi
    http://arxiv.org/abs/1912.03629v1

    • [cs.CV]Zero-shot Recognition of Complex Action Sequences
    Jonathan D. Jones, Tae Soo Kim, Michael Peven, Jin Bai, Zihao Xiao, Yi Zhang, Weichao Qiu, Alan Yuille, Gregory D. Hager
    http://arxiv.org/abs/1912.03613v1

    • [cs.CY]A percolation model for the emergence of the Bitcoin Lightning Network
    Silvia Bartolucci, Fabio Caccioli, Pierpaolo Vivo
    http://arxiv.org/abs/1912.03556v1

    • [cs.CY]Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
    Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke
    http://arxiv.org/abs/1912.04255v1

    • [cs.CY]High performance computing and energy efficiency: focus on OpenFOAM
    Cyrille Bonamy, Laurent Lefèvre, Gabriel Moreau
    http://arxiv.org/abs/1912.03920v1

    • [cs.CY]Towards a Critical Race Methodology in Algorithmic Fairness
    Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
    http://arxiv.org/abs/1912.03593v1

    • [cs.DB]AutoBlock: A Hands-off Blocking Framework for Entity Matching
    Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page
    http://arxiv.org/abs/1912.03417v1

    • [cs.DC]A study on Modern Messaging Systems- Kafka, RabbitMQ and NATS Streaming
    Sharvari T, Sowmya Nag K
    http://arxiv.org/abs/1912.03715v1

    • [cs.DC]BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters
    Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu
    http://arxiv.org/abs/1912.03523v1

    • [cs.DC]Data Replication for Reducing Computing Time inDistributed Systems with Stragglers
    Amir Behrouzi-Far, Emina Soljanin
    http://arxiv.org/abs/1912.03349v1

    • [cs.DC]Dissecting the Graphcore IPU Architecture via Microbenchmarking
    Zhe Jia, Blake Tillman, Marco Maggioni, Daniele Paolo Scarpazza
    http://arxiv.org/abs/1912.03413v1

    • [cs.DC]Generalized Data Placement Strategies for Racetrack Memories
    Asif Ali Khan, Andres Goens, Fazal Hameed, Jeronimo Castrillon
    http://arxiv.org/abs/1912.03507v1

    • [cs.DC]Lightweight Container-based User Environment
    Wenzhe Zhang, Kai Lu, Ruibo Wang, Wanqing Chi, Mingtian Shao, Huijun Wu, Mikel Luján, Xiaoping Wang
    http://arxiv.org/abs/1912.03887v1

    • [cs.DC]Nova — A rainbow cloud over the Alps
    Nicolas Gibelin, Rémi Cailletaud, Gabriel Moreau, Jean-François Scariot, Gabrielle Feltin, Anthony Defize
    http://arxiv.org/abs/1912.03923v1

    • [cs.DC]Programming Scalable Cloud Services with AEON
    Bo Sang, Gustavo Petri, Masoud Saeida Ardekani, Srivatsan Ravi, Patrick Eugster
    http://arxiv.org/abs/1912.03506v1

    • [cs.DS]A Deterministic Algorithm for the MST Problem in Constant Rounds of Congested Clique
    Krzysztof Nowicki
    http://arxiv.org/abs/1912.04239v1

    • [cs.DS]Approximating the Determinant of Well-Conditioned Matrices by Shallow Circuits
    Enric Boix-Adserà, Lior Eldar, Saeed Mehraban
    http://arxiv.org/abs/1912.03824v1

    • [cs.DS]Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation
    Ainesh Bakshi, Nadiia Chepurko, David P. Woodruff
    http://arxiv.org/abs/1912.04177v1

    • [cs.GR]Spectral domain decomposition method for physically-based rendering of Royaumont abbey
    Guillaume Gbikpi-Benissan, Patrick Callet, Frederic Magoules
    http://arxiv.org/abs/1912.04000v1

    • [cs.GT]Anchoring Theory in Sequential Stackelberg Games
    Jan Karwowski, Jacek Mańdziuk, Adam Żychowski
    http://arxiv.org/abs/1912.03564v1

    • [cs.IR]Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering
    Souvick Ghosh, Satanu Ghosh
    http://arxiv.org/abs/1912.03585v1

    • [cs.IR]It Runs in the Family: Searching for Similar Names using Digitized Family Trees
    Aviad Elyashar, Rami Puzis, Michael Fire
    http://arxiv.org/abs/1912.04003v1

    • [cs.IR]Query Auto Completion for Math Formula Search
    Shaurya Rohatgi, Wei Zhong, Richard Zanibbi, Jian Wu, C. Lee Giles
    http://arxiv.org/abs/1912.04115v1

    • [cs.IR]ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert
    Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan
    http://arxiv.org/abs/1912.03769v1

    • [cs.IT]A Novel Cross Entropy Approach for Offloading Learning in Mobile Edge Computing
    Shuhan Zhu, Wei Xu, Lisheng Fan, Kezhi Wang, George K. Karagiannidis
    http://arxiv.org/abs/1912.03838v1

    • [cs.IT]Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation
    Wei-Peng Li, Xiao-Gang Yang, Rui-Tao Lu
    http://arxiv.org/abs/1912.03661v1

    • [cs.IT]Community Detection and Matrix Completion with Two-Sided Graph Side-Information
    Qiaosheng, Zhang, Vincent Y. F. Tan, Changho Suh
    http://arxiv.org/abs/1912.04099v1

    • [cs.IT]Hand and Body Blockage Measurements with Form-Factor User Equipment at 28 GHz
    Vasanthan Raghavan, Sonsay Noimanivone, Sung Kil Rho, Bernie Farin, Patrick Connor, Ricardo A. Motos, Yu-Chin Ou, Kobi Ravid, M. Ali Tassoudji, Ozge H. Koymen, Junyi Li
    http://arxiv.org/abs/1912.03717v1

    • [cs.IT]How to Distribute Computation in Networks
    Derya Malak, Alejandro Cohen, Muriel Medard
    http://arxiv.org/abs/1912.03531v1

    • [cs.IT]Linear Complementary Pair Of Abelian Codes over Finite Chain Rings
    Cem Güneri, Edgar Martínez-Moro, Selcen Sayıcı
    http://arxiv.org/abs/1912.03372v1

    • [cs.IT]Optimal Link Scheduling in Millimeter Wave Multi-hop Networks with MU-MIMO radios
    Felipe Gomez-Cuba, Michele Zorzi
    http://arxiv.org/abs/1912.04096v1

    • [cs.IT]Reconfigurable Intelligent Surface-Based Wireless Communication: Antenna Design, Prototyping and Experimental Results
    Linglong Dai, Bichai Wang, Min Wang, Xue Yang, Jingbo Tan, Shuangkaisheng Bi, Shenheng Xu, Fan Yang, Zhi Chen, Marco Di Renzo, Lajos Hanzo
    http://arxiv.org/abs/1912.03620v1

    • [cs.LG]$\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records
    Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le, Wray Buntine
    http://arxiv.org/abs/1912.03703v1

    • [cs.LG]A Convolutional Neural Network for User Identification based on Motion Sensors
    Cezara Benegui, Radu Tudor Ionescu
    http://arxiv.org/abs/1912.03760v1

    • [cs.LG]A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units
    Adi Szeskin, Lev Faivishevsky, Ashwin K Muppalla, Amitai Armon, Tom Hope
    http://arxiv.org/abs/1912.04138v1

    • [cs.LG]A novel guided deep learning algorithm to design low-cost SPP films
    Yingshi Chen, Jinfeng Zhu
    http://arxiv.org/abs/1912.03452v1

    • [cs.LG]AI, how can humans communicate better with you?
    Johannes Schneider
    http://arxiv.org/abs/1912.03652v1

    • [cs.LG]Adversarial recovery of agent rewards from latent spaces of the limit order book
    Jacobo Roa-Vicens, Yuanbo Wang, Virgile Mison, Yarin Gal, Ricardo Silva
    http://arxiv.org/abs/1912.04242v1

    • [cs.LG]An empirical study of neural networks for trend detection in time series
    Alexandre Miot, Gilles Drigout
    http://arxiv.org/abs/1912.04009v1

    • [cs.LG]Attentive Representation Learning with Adversarial Training for Short Text Clustering
    Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang
    http://arxiv.org/abs/1912.03720v1

    • [cs.LG]Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization
    Zhongshu Xu, Yingzhou Li, Xiuyuan Cheng
    http://arxiv.org/abs/1912.04154v1

    • [cs.LG]ChainerRL: A Deep Reinforcement Learning Library
    Yasuhiro Fujita, Toshiki Kataoka, Prabhat Nagarajan, Takahiro Ishikawa
    http://arxiv.org/abs/1912.03905v1

    • [cs.LG]Comparison of Neuronal Attention Models
    Mohamed Karim Belaid
    http://arxiv.org/abs/1912.03467v1

    • [cs.LG]Cost-Sensitive Training for Autoregressive Models
    Irina Saparina, Anton Osokin
    http://arxiv.org/abs/1912.03771v1

    • [cs.LG]Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances
    Kaiqing Zhang, Zhuoran Yang, Tamer Başar
    http://arxiv.org/abs/1912.03821v1

    • [cs.LG]Decision Support System for Detection and Classification of Skin Cancer using CNN
    Rishu Garg, Saumil Maheshwari, Anupam Shukla
    http://arxiv.org/abs/1912.03798v1

    • [cs.LG]Deep Generalization of Structured Low Rank Algorithms (Deep-SLR)
    Aniket Pramanik, Hemant Aggarwal, Mathews Jacob
    http://arxiv.org/abs/1912.03433v1

    • [cs.LG]Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations
    Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas
    http://arxiv.org/abs/1912.03587v1

    • [cs.LG]Deep Learning-based Hybrid Graph-Coloring Algorithm for Register Allocation
    Dibyendu Das, Shahid Asghar Ahmad, Kumar Venkataramanan
    http://arxiv.org/abs/1912.03700v1

    • [cs.LG]Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms
    Guangxia Lia, Yulong Shena, Peilin Zhaob, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi
    http://arxiv.org/abs/1912.03589v1

    • [cs.LG]Does Interpretability of Neural Networks Imply Adversarial Robustness?
    Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li
    http://arxiv.org/abs/1912.03430v1

    • [cs.LG]Efficient Black-box Assessment of Autonomous Vehicle Safety
    Justin Norden, Matthew O’Kelly, Aman Sinha
    http://arxiv.org/abs/1912.03618v1

    • [cs.LG]Expert-guided Regularization via Distance Metric Learning
    Shouvik Mani, Mehdi Maasoumy, Sina Pakazad, Henrik Ohlsson
    http://arxiv.org/abs/1912.03984v1

    • [cs.LG]Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks
    Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
    http://arxiv.org/abs/1912.03609v1

    • [cs.LG]Feature Engineering Combined with 1 D Convolutional Neural Network for Improved Mortality Prediction
    Saumil Maheshwari, Rohit Verma, Anupam Shukla, Ritu Tiwari, Rishu Garg
    http://arxiv.org/abs/1912.03789v1

    • [cs.LG]Geometric Capsule Autoencoders for 3D Point Clouds
    Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
    http://arxiv.org/abs/1912.03310v1

    • [cs.LG]Getting Topology and Point Cloud Generation to Mesh
    Austin Dill, Chun-Liang Li, Songwei Ge, Eunsu Kang
    http://arxiv.org/abs/1912.03787v1

    • [cs.LG]Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease
    Weicheng Zhu, Narges Razavian
    http://arxiv.org/abs/1912.03761v1

    • [cs.LG]Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction
    Yi Zhong, Xueyu Chen, Yu Zhao, Xiaoming Chen, Tingfang Gao, Zuquan Weng
    http://arxiv.org/abs/1912.03702v1

    • [cs.LG]Group Fairness in Bandit Arm Selection
    Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson
    http://arxiv.org/abs/1912.03802v1

    • [cs.LG]Grouped sparse projection
    Nicolas Gillis, Riyasat Ohib, Sergey Plis, Vamsi Potluru
    http://arxiv.org/abs/1912.03896v1

    • [cs.LG]Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
    Jiachen Yang, Igor Borovikov, Hongyuan Zha
    http://arxiv.org/abs/1912.03558v1

    • [cs.LG]In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors
    Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel M. Roy
    http://arxiv.org/abs/1912.04265v1

    • [cs.LG]InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
    Tan M. Nguyen, Animesh Garg, Richard G. Baraniuk, Anima Anandkumar
    http://arxiv.org/abs/1912.03978v1

    • [cs.LG]Learning Latent State Spaces for Planning through Reward Prediction
    Aaron Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita
    http://arxiv.org/abs/1912.04201v1

    • [cs.LG]Learning Sparse Representations Incrementally in Deep Reinforcement Learning
    J. Fernando Hernandez-Garcia, Richard S. Sutton
    http://arxiv.org/abs/1912.04002v1

    • [cs.LG]Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation
    Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang
    http://arxiv.org/abs/1912.03699v1

    • [cs.LG]Location Trace Privacy Under Conditional Priors
    Casey Meehan, Kamalika Chaudhuri
    http://arxiv.org/abs/1912.04228v1

    • [cs.LG]Meta-Learning without Memorization
    Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn
    http://arxiv.org/abs/1912.03820v1

    • [cs.LG]MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
    Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
    http://arxiv.org/abs/1912.03960v1

    • [cs.LG]Neural Networks with Cheap Differential Operators
    Ricky T. Q. Chen, David Duvenaud
    http://arxiv.org/abs/1912.03579v1

    • [cs.LG]No Representation without Transformation
    Giorgio Giannone, Jonathan Masci, Christian Osendorfer
    http://arxiv.org/abs/1912.03845v1

    • [cs.LG]Nonparametric Bayesian Structure Adaptation for Continual Learning
    Abhishek Kumar, Sunabha Chatterjee, Piyush Rai
    http://arxiv.org/abs/1912.03624v1

    • [cs.LG]Optimizing Rank-based Metrics with Blackbox Differentiation
    Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica, Claudio Michaelis, Georg Martius
    http://arxiv.org/abs/1912.03500v1

    • [cs.LG]PIDForest: Anomaly Detection via Partial Identification
    Parikshit Gopalan, Vatsal Sharan, Udi Wieder
    http://arxiv.org/abs/1912.03582v1

    • [cs.LG]Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings
    Christian Reiser, Jörg Schlötterer, Michael Granitzer
    http://arxiv.org/abs/1912.04022v1

    • [cs.LG]Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
    Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
    http://arxiv.org/abs/1912.03440v1

    • [cs.LG]Principal Component Properties of Adversarial Samples
    Malhar Jere, Sandro Herbig, Christine Lind, Farinaz Koushanfar
    http://arxiv.org/abs/1912.03406v1

    • [cs.LG]Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments
    Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram
    http://arxiv.org/abs/1912.03485v1

    • [cs.LG]Recurrent Point Processes for Dynamic Review Models
    Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, Cesar Ojeda
    http://arxiv.org/abs/1912.04132v1

    • [cs.LG]Robust Deep Ordinal Regression Under Label Noise
    Bhanu Garg, Naresh Manwani
    http://arxiv.org/abs/1912.03488v1

    • [cs.LG]Short-term Load Forecasting with Dense Average Network
    Zhifang Liao, Haihui Pan
    http://arxiv.org/abs/1912.03668v1

    • [cs.LG]Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data
    Itay Mosafi, Eli David, Nathan S. Netanyahu
    http://arxiv.org/abs/1912.03959v1

    • [cs.LG]Temporal Factorization of 3D Convolutional Kernels
    Gabriëlle Ras, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven
    http://arxiv.org/abs/1912.04075v1

    • [cs.LG]Transformer Based Reinforcement Learning For Games
    Uddeshya Upadhyay, Nikunj Shah, Sucheta Ravikanti, Mayanka Medhe
    http://arxiv.org/abs/1912.03918v1

    • [cs.LG]Tropical Geometry and Piecewise-Linear Approximation of Curves and Surfaces on Weighted Lattices
    Petros Maragos, Emmanouil Theodosis
    http://arxiv.org/abs/1912.03891v1

    • [cs.LG]cGANs with Multi-Hinge Loss
    Ilya Kavalerov, Wojciech Czaja, Rama Chellappa
    http://arxiv.org/abs/1912.04216v1

    • [cs.MA]The surprising little effectiveness of cooperative algorithms in parallel problem solving
    Sandro M. Reia, Larissa F. Aquino, José F. Fontanari
    http://arxiv.org/abs/1912.03347v1

    • [cs.NE]Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles
    Jose Manuel Vera, Andres G. Abad
    http://arxiv.org/abs/1912.03341v1

    • [cs.NE]Reinforcement Learning with Convolutional Reservoir Computing
    Hanten Chang, Katsuya Futagami
    http://arxiv.org/abs/1912.04161v1

    • [cs.PF]Scheduling in the Presence of Data IntensiveCompute Jobs
    Amir Behrouzi-Far, Emina Soljanin
    http://arxiv.org/abs/1912.03348v1

    • [cs.RO]6-DOF Grasping for Target-driven Object Manipulation in Clutter
    Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox
    http://arxiv.org/abs/1912.03628v1

    • [cs.RO]An Interactive Indoor Drone Assistant
    Tino Fuhrman, David Schneider, Felix Altenberg, Tung Nguyen, Simon Blasen, Stefan Constantin, Alex Waibel
    http://arxiv.org/abs/1912.04235v1

    • [cs.RO]Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving
    Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Xing Li, Stefan Roth
    http://arxiv.org/abs/1912.03509v1

    • [cs.RO]Effects of a Social Force Model reward in Robot Navigation based on Deep Reinforcement Learning
    Óscar Gil Viyuela, Alberto Sanfeliu
    http://arxiv.org/abs/1912.03747v1

    • [cs.RO]LiDAR Iris for Loop-Closure Detection
    Ying Wang, Zezhou Sun, Jian Yang, Hui Kong
    http://arxiv.org/abs/1912.03825v1

    • [cs.RO]Phase Portraits as Movement Primitives for Fast Humanoid Robot Control
    Guilherme Maeda, Okan Koc, Jun Morimoto
    http://arxiv.org/abs/1912.03535v1

    • [cs.RO]Reinforcement Learning based Visual Navigation with Information-Theoretic Regularization
    Qiaoyun Wu, Kai Xu, Jun Wang, Mingliang Xu, Dinesh Manocha
    http://arxiv.org/abs/1912.04078v1

    • [cs.RO]Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes
    Takayuki Osa, Shuhei Ikemoto
    http://arxiv.org/abs/1912.04063v1

    • [cs.RO]Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model
    Takuya Ohashi, Yosuke Ikegami, Kazuki Yamamoto, Wataru Takano, Yoshihiko Nakamura
    http://arxiv.org/abs/1912.03880v1

    • [cs.SD]MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing
    Chao-I Tuan, Yuan-Kuei Wu, Hung-yi Lee, Yu Tsao
    http://arxiv.org/abs/1912.03884v1

    • [cs.SE]Accepted or Abandoned? Predicting the Fate of Code Changes
    Md. Khairul Islam, Toufique Ahmed, Fahim Ahmed, Dr. Anindya Iqbal
    http://arxiv.org/abs/1912.03437v1

    • [cs.SE]Is AI different for SE?
    Amritanshu Agrawal, Tim Menzies
    http://arxiv.org/abs/1912.04061v1

    • [cs.SI]A Multi-Feature Diffusion Model: Rumor Blocking in Social Networks
    Jianxiong Guo, Tiantian Chen, Weili Wu
    http://arxiv.org/abs/1912.03481v1

    • [cs.SI]Determining Individual Origin Similarity (DInOS): Binary Classification of Authors Using Stylometric Features
    A. Kingsland, D. Fortin, E. Cary, S. Smith, K. Pazdernik, R. Perko
    http://arxiv.org/abs/1912.03750v1

    • [cs.SI]Distinctiveness Centrality in Social Networks
    A. Fronzetti Colladon, M. Naldi
    http://arxiv.org/abs/1912.03391v1

    • [cs.SI]Monotone Submodular Diversity functions for Categorical Vectors with Application to Diversification of Seeds for Targeted Influence Maximization
    Antonio Caliò, Andrea Tagarelli
    http://arxiv.org/abs/1912.03727v1

    • [cs.SI]Opinion Dynamics with Random Actions and a Stubborn Agent
    Olle Abrahamsson, Danyo Danev, Erik G. Larsson
    http://arxiv.org/abs/1912.04183v1

    • [cs.SI]Subreddit R/unpopularopinion: Against the Spiral of Silence
    Linh Hoang, Gerry Oei, Dasom Eom
    http://arxiv.org/abs/1912.04206v1

    • [eess.AS]A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Database
    Hossein Zeinali, Lukáš Burget, Jan “Honza’’ Černocký
    http://arxiv.org/abs/1912.03627v1

    • [eess.AS]Audio-attention discriminative language model for ASR rescoring
    Ankur Gandhe, Ariya Rastrow
    http://arxiv.org/abs/1912.03363v1

    • [eess.IV]Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence
    Donghuan Lu, Morgan Heisler, Da Ma, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg
    http://arxiv.org/abs/1912.03418v1

    • [eess.IV]DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting
    Indra Deep Mastan, Shanmuganathan Raman
    http://arxiv.org/abs/1912.04229v1

    • [eess.IV]Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features
    Du Chen, Zewei He, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Michael Ying Yang, Siliang Tang, Yueting Zhuang
    http://arxiv.org/abs/1912.04016v1

    • [eess.IV]Estimation of Muscle Fascicle Orientation in Ultrasonic Images
    Regina Pohle-Fröhlich, Christoph Dalitz, Charlotte Richter, Benjamin Stäudle, Kirsten Albracht
    http://arxiv.org/abs/1912.04134v1

    • [eess.IV]Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging
    John R. Zech, Jessica Zosa Forde, Michael L. Littman
    http://arxiv.org/abs/1912.03606v1

    • [eess.IV]Naive Gabor Networks
    Chenying Liu, Jun Li, Lin He, Antonio J. Plaza, Shutao Li, Bo Li
    http://arxiv.org/abs/1912.03991v1

    • [eess.IV]Sparse and redundant signal representations for x-ray computed tomography
    Davood Karimi
    http://arxiv.org/abs/1912.03379v1

    • [eess.SP]Asymmetric Correntropy for Robust Adaptive Filtering
    Badong Chen, Zhuang Li, Yingsong Li, Pengju Ren
    http://arxiv.org/abs/1911.11855v1

    • [eess.SP]Fully Dense Neural Network for the Automatic Modulation Recognition
    Miao Du, Qin Yu, Shaomin Fei, Chen Wang, Xiaofeng Gong, Ruisen Luo
    http://arxiv.org/abs/1912.03449v1

    • [eess.SP]Reconfigurable Intelligent Surfaces for Doppler Effect and Multipath Fading Mitigation
    Ertugrul Basar, Ian F. Akyildiz
    http://arxiv.org/abs/1912.04080v1

    • [eess.SY]Daily Data Assimilation of a Hydrologic Model Using the Ensemble Kalman Filter
    Sami A. Malek, Alexandre M. Bayen, Steven D. Glaser
    http://arxiv.org/abs/1912.03861v1

    • [eess.SY]Distributed AC-DC Optimal Power Flow in the European Transmission Grid with ADMM
    Nico Hübner, Yannick Rink, Michael Suriyah, Thomas Leibfried
    http://arxiv.org/abs/1912.03942v1

    • [eess.SY]Minimal Sufficient Conditions for Structural Observability/Controllability of Composite Networks via Kronecker Product
    Mohammadreza Doostmohammadian, Usman A. Khan
    http://arxiv.org/abs/1912.03470v1

    • [eess.SY]Relativistic Control: Feedback Control of Relativistic Dynamics
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/1912.03367v1

    • [math.MG]Globally optimizing small codes in real projective spaces
    Dustin G. Mixon, Hans Parshall
    http://arxiv.org/abs/1912.03373v1

    • [math.NA]Deep Ritz revisited
    Johannes Müller, Marius Zeinhofer
    http://arxiv.org/abs/1912.03937v1

    • [math.OC]Continuous-time Discounted Mirror-Descent Dynamics in Monotone Concave Games
    Bolin Gao, Lacra Pavel
    http://arxiv.org/abs/1912.03460v1

    • [math.ST]A new inequality for maximum likelihood estimation in statistical models with latent variables
    Niels Lundtorp Olsen
    http://arxiv.org/abs/1912.04011v1

    • [math.ST]An empirical $G$-Wishart prior for sparse high-dimensional Gaussian graphical models
    Chang Liu, Ryan Martin
    http://arxiv.org/abs/1912.03807v1

    • [math.ST]Conditional Mutual Information Estimation for Mixed Discrete and Continuous Variables with Nearest Neighbors
    Octavio César Mesner, Cosma Rohilla Shalizi
    http://arxiv.org/abs/1912.03387v1

    • [math.ST]Goodness-of-fit tests for functional form of Linear Mixed effects Models
    Rok Blagus, Jakob Peterlin, Nataša Kejžar
    http://arxiv.org/abs/1912.04089v1

    • [math.ST]Heterogeneous hypergeometric functions with two matrix arguments and the exact distribution of the largest eigenvalue of a singular beta-Wishart matrix
    Koki Shimizu, Hiroki Hashiguchi
    http://arxiv.org/abs/1912.03903v1

    • [math.ST]On the rate of convergence of a neural network regression estimate learned by gradient descent
    Alina Braun, Michael Kohler, Harro Walk
    http://arxiv.org/abs/1912.03921v1

    • [math.ST]Over-parametrized deep neural networks do not generalize well
    Michael Kohler, Adam Krzyzak
    http://arxiv.org/abs/1912.03925v1

    • [math.ST]Sequential Estimation of Network Cascades
    Anirudh Sridhar, H. Vincent Poor
    http://arxiv.org/abs/1912.03800v1

    • [math.ST]Testing Independence with the Binary Expansion Randomized Ensemble Test
    Duyeol Lee, Kai Zhang, Michael R. Kosorok
    http://arxiv.org/abs/1912.03662v1

    • [math.ST]Theory on Covariate-Adaptive Randomized Clinical Trials: Efficiency, Selection bias and Randomization Methods
    Li-Xin Zhang
    http://arxiv.org/abs/1912.03636v1

    • [math.ST]Tighter Confidence Intervals for Rating Systems
    Robert Nowak, Ervin Tánczos
    http://arxiv.org/abs/1912.03528v1

    • [nlin.AO]Reconstruction of traffic speed distributions from kinetic models with uncertainties
    M. Herty, A. Tosin, G. Visconti, M. Zanella
    http://arxiv.org/abs/1912.03706v1

    • [physics.app-ph]Automated Classification of Helium Ingress in Irradiated X-750
    Chris Anderson, Jacob Klein, Heygaan Rajakumar, Colin Judge, Laurent K Beland
    http://arxiv.org/abs/1912.04252v1

    • [physics.comp-ph]Beam-tracing domain decomposition method for urban acoustic pollution
    Guillaume Gbikpi-Benissan, Frederic Magoules
    http://arxiv.org/abs/1912.03998v1

    • [physics.data-an]Gradient Profile Estimation Using Exponential Cubic Spline Smoothing in a Bayesian Framework
    Kushani De Silva, Carlo Cafaro, Adom Giffin
    http://arxiv.org/abs/1912.04223v1

    • [physics.soc-ph]Insights On Streamflow Predictability Across Scales Using Horizontal Visibility Graph Based Networks
    Ganesh R. Ghimire, Navid Jadidoleslam, Witold F. Krajewski, Anastasios A. Tsonis
    http://arxiv.org/abs/1912.03343v1

    • [physics.soc-ph]Overlapping Communities and the Prediction of Missing Links in Multiplex Networks
    Amir Mahdi Abdolhosseini-Qomi, Naser Yazdani, Masoud Asadpour
    http://arxiv.org/abs/1912.03496v1

    • [physics.soc-ph]Weighted temporal event graphs
    Jari Saramäki, Mikko Kivelä, Márton Karsai
    http://arxiv.org/abs/1912.03904v1

    • [q-bio.NC]Modeling somatic computation with non-neural bioelectric networks
    Santosh Manicka, Michael Levin
    http://arxiv.org/abs/1912.04246v1

    • [q-bio.PE]Quantitative genetic algorithms
    Jakub Otwinowski, Colin LaMont
    http://arxiv.org/abs/1912.03395v1

    • [quant-ph]Relative Entropy and Catalytic Relative Majorization
    Soorya Rethinasamy, Mark M. Wilde
    http://arxiv.org/abs/1912.04254v1

    • [quant-ph]Universal limitations on quantum key distribution over a network
    Siddhartha Das, Stefan Bäuml, Marek Winczewski, Karol Horodecki
    http://arxiv.org/abs/1912.03646v1

    • [stat.AP]Experimental Designs for Accelerated Degradation Tests Based on Gamma Process Models
    Helmi Shat, Rainer Schwabe
    http://arxiv.org/abs/1912.04202v1

    • [stat.AP]How much is optimal reinsurance degraded by error?
    Yinzhi Wang, Erik Bølviken
    http://arxiv.org/abs/1912.04175v1

    • [stat.AP]Identification of causal intervention effects under contagion
    Xiaoxuan Cai, Wen Wei Loh, Forrest W. Crawford
    http://arxiv.org/abs/1912.04151v1

    • [stat.AP]Optimal reinsurance for risk over surplus ratios
    Erik Bølviken, Yinzhi Wang
    http://arxiv.org/abs/1912.04086v1

    • [stat.AP]Ordering properties of the smallest and largest lifetimes in Gompertz-Makeham model
    Amarjit Kundu, Shovan Chowdhury, Narayanaswamy Balakrishnan
    http://arxiv.org/abs/1912.04171v1

    • [stat.AP]Phase I analysis of hidden operating status for wind turbine
    Yuchen Shi, Nan Chen
    http://arxiv.org/abs/1912.04045v1

    • [stat.AP]Spatial Weibull Regression with Multivariate Log Gamma Process and Its Applications to China Earthquake Economic Loss
    Hou-Cheng Yang, Lijiang Geng, Yishu Xue, Guanyu Hu
    http://arxiv.org/abs/1912.03603v1

    • [stat.AP]Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution
    Erdem Varol, Amin Nejatbakhsh, Conor McGrory
    http://arxiv.org/abs/1912.03463v1

    • [stat.AP]VAT tax gap prediction: a 2-steps Gradient Boosting approach
    Giovanna Tagliaferri, Daria Scacciatelli, Pierfrancesco Alaimo Di Loro
    http://arxiv.org/abs/1912.03781v1

    • [stat.ME]A goodness of fit test for two component two parameter Weibull mixtures
    Richard A. Lockhart, Chandanie W. Navaratna
    http://arxiv.org/abs/1912.03423v1

    • [stat.ME]A kernel log-rank test of independence for right-censored data
    Tamara Fernandez, Arthur Gretton, David Rindt, Dino Sejdinovic
    http://arxiv.org/abs/1912.03784v1

    • [stat.ME]Approximate Factor Models with Strongly Correlated Idiosyncratic Errors
    Jiahe Lin, George Michailidis
    http://arxiv.org/abs/1912.04123v1

    • [stat.ME]Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
    Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran, Abhra Sarkar
    http://arxiv.org/abs/1912.02774v2

    • [stat.ME]Cellwise Robust M Regression
    Peter Filzmoser, Sebastiaan Höppner, Irene Ortner, Sven Serneels, Tim Verdonck
    http://arxiv.org/abs/1912.03407v1

    • [stat.ME]Conditional Kernel Density Estimation Considering Autocorrelation for Renewable Energy Probabilistic Modeling
    Yuchen Shi, Nan Chen
    http://arxiv.org/abs/1912.04006v1

    • [stat.ME]Energy distance and kernel mean embeddings for two-sample survival testing
    Marcos Matabuena, Oscar Hernan Madrid Padilla
    http://arxiv.org/abs/1912.04160v1

    • [stat.ME]Estimating an Extreme Bayesian Network via Scalings
    Claudia Klüppelberg, Mario Krali
    http://arxiv.org/abs/1912.03968v1

    • [stat.ME]Improved Covariance Matrix Estimator using Shrinkage Transformation and Random Matrix Theory
    Samruddhi Deshmukh, Amartansh Dubey
    http://arxiv.org/abs/1912.03718v1

    • [stat.ME]Improved Multiple Confidence Intervals via Thresholding Informed by Prior Information
    Taeho Kim, Edsel A. Pena
    http://arxiv.org/abs/1912.03756v1

    • [stat.ME]Kendall’s Tau for Functional Data Analysis
    Sneha Jadhav, Shuangge Ma
    http://arxiv.org/abs/1912.03725v1

    • [stat.ME]Logistic regression models for aggregated data
    Tom Whitaker, Boris Beranger, Scott A. Sisson
    http://arxiv.org/abs/1912.03805v1

    • [stat.ME]Mastering the body and tail shape of a distribution
    Matthias Wagener, Mohammad Arashi
    http://arxiv.org/abs/1912.03447v1

    • [stat.ME]PRISM: Patient Response Identifiers for Stratified Medicine
    Thomas O. Jemielita, Devan V. Mehrotra
    http://arxiv.org/abs/1912.03337v1

    • [stat.ME]Regularized Estimation of High-dimensional Factor-Augmented Autoregressive (FAVAR) Models
    Jiahe Lin, George Michailidis
    http://arxiv.org/abs/1912.04146v1

    • [stat.ML]A time resolved clustering method revealing longterm structures and their short-term internal dynamics
    Jonas I. Liechti, Sebastian Bonhoeffer
    http://arxiv.org/abs/1912.04261v1

    • [stat.ML]An interpretable probabilistic machine learning method for heterogeneous longitudinal studies
    Juho Timonen, Henrik Mannerström, Aki Vehtari, Harri Lähdesmäki
    http://arxiv.org/abs/1912.03549v1

    • [stat.ML]Contrast Trees and Distribution Boosting
    Jerome H. Friedman
    http://arxiv.org/abs/1912.03785v1

    • [stat.ML]Deep Variable-Block Chain with Adaptive Variable Selection
    Lixiang Zhang, Lin Lin, Jia Li
    http://arxiv.org/abs/1912.03573v1

    • [stat.ML]Learning Disentangled Representations via Mutual Information Estimation
    Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner
    http://arxiv.org/abs/1912.03915v1

    • [stat.ML]No-Regret Exploration in Goal-Oriented Reinforcement Learning
    Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
    http://arxiv.org/abs/1912.03517v1

    • [stat.ML]Optimism in Reinforcement Learning with Generalized Linear Function Approximation
    Yining Wang, Ruosong Wang, Simon S. Du, Akshay Krishnamurthy
    http://arxiv.org/abs/1912.04136v1