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