cond-mat.dis-nn - 无序系统与神经网络

    cs.AI - 人工智能 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.DM - 离散数学 cs.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.CT - 范畴论 math.ST - 统计理论 nlin.CG - 细胞自动机与晶格气 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Mean-field inference methods for neural networks
    • [cs.AI]AAAI FSS-19: Artificial Intelligence in Government and Public Sector Proceedings
    • [cs.AI]Ethical Dilemmas of Strategic Coalitions
    • [cs.AI]Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
    • [cs.AI]Potential Applications of Machine Learning at Multidisciplinary Medical Team Meetings
    • [cs.AI]REMI: Mining Intuitive Referring Expressions on Knowledge Bases
    • [cs.AI]SHACL Constraints with Inference Rules
    • [cs.AI]Scene Graph based Image Retrieval — A case study on the CLEVR Dataset
    • [cs.AI]Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life
    • [cs.CL]A Holistic Natural Language Generation Framework for the Semantic Web
    • [cs.CL]A Novel Approach to Enhance the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques
    • [cs.CL]Analysing Coreference in Transformer Outputs
    • [cs.CL]Controlling Text Complexity in Neural Machine Translation
    • [cs.CL]Credibility-based Fake News Detection
    • [cs.CL]Design and Challenges of Cloze-Style Reading Comprehension Tasks on Multiparty Dialogue
    • [cs.CL]DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
    • [cs.CL]Emergence of Numeric Concepts in Multi-Agent Autonomous Communication
    • [cs.CL]How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering
    • [cs.CL]Human and Automatic Detection of Generated Text
    • [cs.CL]Interpreting Verbal Irony: Linguistic Strategies and the Connection to theType of Semantic Incongruity
    • [cs.CL]Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations
    • [cs.CL]Low-dimensional Semantic Space: from Text to Word Embedding
    • [cs.CL]Machine Translation Evaluation using Bi-directional Entailment
    • [cs.CL]Machine Translation in Pronunciation Space
    • [cs.CL]On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
    • [cs.CL]Posing Fair Generalization Tasks for Natural Language Inference
    • [cs.CL]Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
    • [cs.CL]Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
    • [cs.CL]Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media
    • [cs.CL]Sentiment analysis model for Twitter data in Polish language
    • [cs.CL]Spherical Text Embedding
    • [cs.CL]Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization
    • [cs.CL]What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments
    • [cs.CL]What does a network layer hear? Analyzing hidden representations of end-to-end ASR through speech synthesis
    • [cs.CL]ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
    • [cs.CR]A Stealthy Hardware Trojan Exploiting the Architectural Vulnerability of Deep Learning Architectures: Input Interception Attack (IIA)
    • [cs.CR]Calcium Vulnerability Scanner (CVS): A Deeper Look
    • [cs.CR]Composition Properties of Bayesian Differential Privacy
    • [cs.CR]Relations among different privacy notions
    • [cs.CV]3D tissue reconstruction with Kinect to evaluate neck lymphedema
    • [cs.CV]A Method for Identifying Origin of Digital Images Using a Convolution Neural Network
    • [cs.CV]A Spectral Nonlocal Block for Neural Networks
    • [cs.CV]Anthropometric clothing measurements from 3D body scans
    • [cs.CV]CloudifierNet — Deep Vision Models for Artificial Image Processing
    • [cs.CV]Conservative Wasserstein Training for Pose Estimation
    • [cs.CV]Deep Heterogeneous Hashing for Face Video Retrieval
    • [cs.CV]DeepBlindness: Fast Blindness Map Estimation and Blindness Type Classification for Outdoor Scene from Single Color Image
    • [cs.CV]Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
    • [cs.CV]Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework
    • [cs.CV]Eye Semantic Segmentation with a Lightweight Model
    • [cs.CV]FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning
    • [cs.CV]FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation
    • [cs.CV]LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection
    • [cs.CV]Learning Structure via Consensus for Face Segmentation and Parsing
    • [cs.CV]Learning to Infer Implicit Surfaces without 3D Supervision
    • [cs.CV]Leveraging Pretrained Image Classifiers for Language-Based Segmentation
    • [cs.CV]Pixel-wise Conditioning of Generative Adversarial Networks
    • [cs.CV]Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples
    • [cs.CV]Quadratic video interpolation
    • [cs.CV]Rolling-Shutter Modelling for Direct Visual-Inertial Odometry
    • [cs.CV]Scene Text Recognition with Temporal Convolutional Encoder
    • [cs.CV]Security of Facial Forensics Models Against Adversarial Attacks
    • [cs.CV]Segment for Restoration, Restore for Segmentation
    • [cs.CV]Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation
    • [cs.CV]Self-supervised Deformation Modeling for Facial Expression Editing
    • [cs.CV]Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations
    • [cs.CV]Single-Shot Panoptic Segmentation
    • [cs.CV]Singular points detection with semantic segmentation networks
    • [cs.CV]SoildNet: Soiling Degradation Detection in Autonomous Driving
    • [cs.CV]Superpixel-Based Background Recovery from Multiple Images
    • [cs.CV]Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications
    • [cs.CV]Technical Report: Co-learning of geometry and semantics for online 3D mapping
    • [cs.CV]Temporal Action Localization using Long Short-Term Dependency
    • [cs.CV]Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
    • [cs.CV]Using image-extracted features to determine heart rate and blink duration for driver sleepiness detection
    • [cs.CV]Visual Relationship Detection with Relative Location Mining
    • [cs.CV]VoteNet+ : An Improved Deep Learning Label Fusion Method for Multi-atlas Segmentation
    • [cs.CY]Do Chinese Internet Users Exist Heterogeneity in Search Behavior?
    • [cs.CY]GDPR Anti-Patterns: How Design and Operation of Modern Cloud-scale Systems Conflict with GDPR
    • [cs.CY]Global Regularity and Individual Variability in Dynamic Behaviors of Human Communication
    • [cs.CY]Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data
    • [cs.CY]Precision Medicine Informatics: Principles, Prospects, and Challenges
    • [cs.CY]The Consistency of Trust-Sales Relationship in Latin-American E-commerce
    • [cs.CY]rIoT: Enabling Seamless Context-AwareAutomation in the Internet of Things
    • [cs.DB]Proof-of-Execution: Reaching Consensus through Fault-Tolerant Speculation
    • [cs.DB]Scaling Blockchain Databases through Parallel Resilient Consensus Paradigm
    • [cs.DC]Enabling Enterprise Blockchain Interoperability with Trusted Data Transfer (industry track)
    • [cs.DC]Fast Dimensional Analysis for Root Cause Investigation in Large-Scale Service Environment
    • [cs.DC]Leader Election in the Internet of Things: Challenges and Opportunities
    • [cs.DC]Raft Consensus Algorithm: an Effective Substitute for Paxos in High Throughput P2P-based Systems
    • [cs.DC]eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex
    • [cs.DM]The Lattice Structure of Linear Subspace Codes
    • [cs.DS]Nearly Optimal Static Las Vegas Succinct Dictionary
    • [cs.DS]ProbMinHash — A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity
    • [cs.FL]Automata Learning: An Algebraic Approach
    • [cs.FL]Controlling a random population
    • [cs.HC]Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter?
    • [cs.HC]An Affective Situation Labeling System from Psychological Behaviors in Emotion Recognition
    • [cs.HC]Modeling an Augmented Reality Game Environment to Enhance Behavior of ADHD Patients
    • [cs.IR]GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment
    • [cs.IR]Incremental extraction of a NoSQL database model using an MDA-based process
    • [cs.IR]MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering
    • [cs.IR]Prediction Modeling and Analysis for Telecom Customer Churn in Two Months
    • [cs.IR]Spatial Search Strategies for Open Government Data: A Systematic Comparison
    • [cs.IR]The Relationship between the Consistency of Users’ Ratings and Recommendation Calibration
    • [cs.IT]3D-Map Assisted UAV Trajectory Design Under Cellular Connectivity Constraints
    • [cs.IT]A Hierarchical-based Greedy Algorithm for Echelon-Ferrers Construction
    • [cs.IT]Active Status Update Packet Drop Control in an Energy Harvesting Node
    • [cs.IT]HARQ-CC Enabled NOMA Designs With Outage Probability Constraints
    • [cs.IT]Molecular Communication in H-Diffusion
    • [cs.IT]Molecular Communication with Anomalous Diffusion in Stochastic Nanonetworks
    • [cs.IT]On secure communication in sensor networks under q-composite key predistribution with unreliable links
    • [cs.IT]Polar Coding and Random Spreading for Unsourced Multiple Access
    • [cs.IT]Probabilistic key predistribution in mobile networks resilient to node-capture attacks
    • [cs.IT]Rate-Power Region of SWIPT Systems Employing Nonlinear Energy Harvester Circuits with Memory
    • [cs.IT]Robust low-delay Streaming PIR using convolutional codes
    • [cs.IT]Six constructions of asymptotically optimal codebooks via the character sums
    • [cs.IT]Sparse Regression Codes
    • [cs.IT]Utility-Aware Optimal Resource Allocation Protocol for UAV-Assisted Small Cells with Heterogeneous Coverage Demands
    • [cs.LG]A Crowdsourcing Framework for On-Device Federated Learning
    • [cs.LG]Adaptive Statistical Learning with Bayesian Differential Privacy
    • [cs.LG]Adversarial target-invariant representation learning for domain generalization
    • [cs.LG]An Algorithm for Routing Capsules in All Domains
    • [cs.LG]Attributed Sequence Embedding
    • [cs.LG]Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations
    • [cs.LG]Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization
    • [cs.LG]Computationally efficient versions of conformal predictive distributions
    • [cs.LG]Enhanced Convolutional Neural Tangent Kernels
    • [cs.LG]Ensembles of Locally Independent Prediction Models
    • [cs.LG]Explaining the Predictions of Any Image Classifier via Decision Trees
    • [cs.LG]Explicit Explore-Exploit Algorithms in Continuous State Spaces
    • [cs.LG]Fair Predictors under Distribution Shift
    • [cs.LG]Fast-UAP: Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors
    • [cs.LG]Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
    • [cs.LG]Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
    • [cs.LG]Generalized Learning with Rejection for Classification and Regression Problems
    • [cs.LG]Global Convergence of Gradient Descent for Deep Linear Residual Networks
    • [cs.LG]Improved Detection of Adversarial Attacks via Penetration Distortion Maximization
    • [cs.LG]LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory
    • [cs.LG]Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo
    • [cs.LG]Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem
    • [cs.LG]Learning based Methods for Code Runtime Complexity Prediction
    • [cs.LG]Learning to Fix Build Errors with Graph2Diff Neural Networks
    • [cs.LG]Learning-based estimation of dielectric properties and tissue density in head model for personalized radio-frequency dosimetry
    • [cs.LG]Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons
    • [cs.LG]Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning
    • [cs.LG]Metric Learning for Dynamic Text Classification
    • [cs.LG]Multi-marginal Wasserstein GAN
    • [cs.LG]Multiple Futures Prediction
    • [cs.LG]Network Revenue Management with Limited Switches: Known and Unknown Demand Distributions
    • [cs.LG]Novel semi-metrics for multivariate change point analysis and anomaly detection
    • [cs.LG]Novelty Detection and Learning from Extremely Weak Supervision
    • [cs.LG]On Batch Bayesian Optimization
    • [cs.LG]On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment
    • [cs.LG]On-Device Machine Learning: An Algorithms and Learning Theory Perspective
    • [cs.LG]Online Robustness Training for Deep Reinforcement Learning
    • [cs.LG]Order Optimal One-Shot Distributed Learning
    • [cs.LG]Persistency of Excitation for Robustness of Neural Networks
    • [cs.LG]Predicting Weather Uncertainty with Deep Convnets
    • [cs.LG]Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
    • [cs.LG]Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches
    • [cs.LG]Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs
    • [cs.LG]Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
    • [cs.LG]Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks
    • [cs.LG]Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification
    • [cs.LG]Ten-year Survival Prediction for Breast Cancer Patients
    • [cs.LG]Ternary MobileNets via Per-Layer Hybrid Filter Banks
    • [cs.LG]Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints
    • [cs.LG]Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data
    • [cs.LG]Unmasking DeepFakes with simple Features
    • [cs.LG]Variable Grouping Based Bayesian Additive Regression Tree
    • [cs.LG]Variational Bayesian inference of hidden stochastic processes with unknown parameters
    • [cs.LG]Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE
    • [cs.LG]Weakly Supervised Deep Learning Approach in Streaming Environments
    • [cs.LG]XDeep: An Interpretation Tool for Deep Neural Networks
    • [cs.LG]Zeroth Order Non-convex optimization with Dueling-Choice Bandits
    • [cs.LO]Compiling Arguments in an Argumentation Framework into Three-valued Logical Expressions
    • [cs.LO]Statistical EL is ExpTime-complete
    • [cs.MA]A Comprehensive Study on Pedestrians’ Evacuation
    • [cs.MM]Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation
    • [cs.NE]Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
    • [cs.NE]Human eye inspired log-polar pre-processing for neural networks
    • [cs.NE]Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems
    • [cs.NI]Device Scheduling with Fast Convergence for Wireless Federated Learning
    • [cs.PL]A Streaming Analytics Language for Processing Cyber Data
    • [cs.RO]A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
    • [cs.RO]Automatic Calibration of Dual-LiDARs Using Two Poles Stickered with Retro-Reflective Tape
    • [cs.RO]Cooperative Manipulation via Internal Force Regulation: A Rigidity Theory Perspective
    • [cs.RO]Furniture Free Mapping
    • [cs.RO]Integrated guidance and control framework for the waypoint navigation of a miniature aircraft with highly coupled longitudinal and lateral dynamics
    • [cs.RO]Learning One-Shot Imitation from Humans without Humans
    • [cs.RO]Learning to Scaffold the Development of Robotic Manipulation Skills
    • [cs.SI]Examining UK drill music through sentiment trajectory analysis
    • [cs.SI]The Bow-Tie Centrality: A Novel Measure for Directed and Weighted Networks with an Intrinsic Node Property
    • [econ.GN]Modeling National Latent Socioeconomic Health and Examination of Policy Effects via Causal Inference
    • [eess.AS]Supervised online diarization with sample mean loss for multi-domain data
    • [eess.AS]Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scores
    • [eess.IV]A low-cost real-time 3D imaging system for contactless asthma observation
    • [eess.IV]AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results
    • [eess.IV]Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks
    • [eess.IV]CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
    • [eess.IV]Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking
    • [eess.IV]Digital phase-only holography using deep conditional generative models
    • [eess.IV]Domain-Aware No-Reference Image Quality Assessment
    • [eess.IV]Field of View Extension in Computed Tomography Using Deep Learning Prior
    • [eess.IV]Gland Segmentation in Histopathological Images by Deep Neural Network
    • [eess.IV]Image Inpainting by Adaptive Fusion of Variable Spline Interpolations
    • [eess.IV]Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks
    • [eess.IV]PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation
    • [eess.SP]An Approximate Message Passing Algorithm for Rapid Parameter-Free Compressed Sensing MRI
    • [eess.SP]Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data
    • [eess.SP]Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
    • [math.CO]Shannon capacity and the categorical product
    • [math.CT]Formal composition of hybrid systems
    • [math.ST]Estimating Certain Integral Probability Metric (IPM) is as Hard as Estimating under the IPM
    • [math.ST]Iterative Algorithm for Discrete Structure Recovery
    • [math.ST]Modeling and estimation of multivariate discrete and continuous time stationary processes
    • [math.ST]On The Study Of D-Optimal Saturated Designs For Mean, Main Effects and $F_1$-Two-Factor Interactions For $2^k$-Factorial Experiments
    • [math.ST]Optimality of Spectral Clustering for Gaussian Mixture Model
    • [math.ST]Piecewise autoregression for general integer-valued time series
    • [math.ST]Reply to on some problems in the article “Efficient likelihood estimation in state space models” by Cheng-Der Fuh [Ann, Statist. 34 (2006) 2026-2068]
    • [nlin.CG]Evolving Structures in Complex Systems
    • [physics.soc-ph]Annotated Hypergraphs: Models and Applications
    • [q-bio.GN]Meta-Analysis of Genomic and Transcriptomic Variations in Lung Adenocarcinoma
    • [q-bio.NC]The Intrinsic Properties of Brain Based on the Network Structure
    • [q-bio.QM]A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification
    • [q-bio.QM]Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning
    • [q-bio.QM]Fetal cardiovascular decompensation during labor predicted from the individual heart rate: a prospective study in fetal sheep near term and the impact of low sampling rate
    • [quant-ph]Thermal Efficiency of Quantum Memory Compression
    • [stat.AP]A simple study of the correlation effects in the superposition of waves of electric fields: the emergence of extreme events
    • [stat.AP]Probabilistic Formulation of the Take The Best Heuristic
    • [stat.AP]The Importance of Environmental Factors in Forecasting Australian Power Demand
    • [stat.AP]fMRI group analysis based on outputs from Matrix-Variate Dynamic Linear Models
    • [stat.CO]BIMC: The Bayesian Inverse Monte Carlo method for goal-oriented uncertainty quantification. Part I
    • [stat.CO]Bayesian model averaging with the integrated nested Laplace approximation
    • [stat.CO]Estimating accuracy of the MCMC variance estimator: a central limit theorem for batch means estimators
    • [stat.CO]Non-reversible jump algorithms for Bayesian nested model selection
    • [stat.CO]Sparse inversion for derivative of log determinant
    • [stat.ME]”Predicting” after peeking into the future: Correcting a fundamental flaw in the SAOM — TERGM comparison of Leifeld and Cranmer (2019)
    • [stat.ME]An aberration criterion for conditional models
    • [stat.ME]Bayesian Matrix Completion Approach to Causal Inference with Panel Data
    • [stat.ME]Bayesian inference for dynamic vine copulas in higher dimensions
    • [stat.ME]Gaussian process metamodeling for experiments with manipulating factors
    • [stat.ME]Model Specification Test with Unlabeled Data: Approach from Covariate Shift
    • [stat.ME]Online Debiasing for Adaptively Collected High-dimensional Data
    • [stat.ME]Optimal two-stage testing of multiple mediators
    • [stat.ME]Penalized robust estimators in logistic regression with applications to sparse models
    • [stat.ME]Quantile regression: a penalization approach
    • [stat.ME]Rank-deficiencies in a reduced information latent variable model
    • [stat.ME]Yakovlev Promotion Time Cure Model with Local Polynomial Estimation
    • [stat.ML]Amortized Population Gibbs Samplers with Neural Sufficient Statistics
    • [stat.ML]Asymptotic Consistency of Loss-Calibrated Variational Bayes
    • [stat.ML]Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
    • [stat.ML]Global Adaptive Generative Adjustment
    • [stat.ML]Gradient-based Adaptive Markov Chain Monte Carlo
    • [stat.ML]Inferring Coordination Strategies from Time Series of Movement Data
    • [stat.ML]Seasonally-Adjusted Auto-Regression of Vector Time Series

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

    • [cond-mat.dis-nn]Mean-field inference methods for neural networks
    Marylou Gabrié
    http://arxiv.org/abs/1911.00890v1

    • [cs.AI]AAAI FSS-19: Artificial Intelligence in Government and Public Sector Proceedings
    Frank Stein, Alun Preece
    http://arxiv.org/abs/1911.01156v1

    • [cs.AI]Ethical Dilemmas of Strategic Coalitions
    Pavel Naumov, Rui-Jie Yew
    http://arxiv.org/abs/1911.00786v1

    • [cs.AI]Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
    Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
    http://arxiv.org/abs/1911.01417v1

    • [cs.AI]Potential Applications of Machine Learning at Multidisciplinary Medical Team Meetings
    Bridget Kane, Jing Su, Saturnino Luz
    http://arxiv.org/abs/1911.00914v1

    • [cs.AI]REMI: Mining Intuitive Referring Expressions on Knowledge Bases
    Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles
    http://arxiv.org/abs/1911.01157v1

    • [cs.AI]SHACL Constraints with Inference Rules
    Paolo Pareti, George Konstantinidis, Timothy J. Norman, Murat Şensoy
    http://arxiv.org/abs/1911.00598v1

    • [cs.AI]Scene Graph based Image Retrieval — A case study on the CLEVR Dataset
    Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra
    http://arxiv.org/abs/1911.00850v1

    • [cs.AI]Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life
    Byung Hyung Kim, Sungho Jo
    http://arxiv.org/abs/1911.01072v1

    • [cs.CL]A Holistic Natural Language Generation Framework for the Semantic Web
    Axel-Cyrille Ngonga Ngomo, Diego Moussallem, Lorenz Bühmann
    http://arxiv.org/abs/1911.01248v1

    • [cs.CL]A Novel Approach to Enhance the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques
    Arijit Das, Diganta Saha
    http://arxiv.org/abs/1911.01256v1

    • [cs.CL]Analysing Coreference in Transformer Outputs
    Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith
    http://arxiv.org/abs/1911.01188v1

    • [cs.CL]Controlling Text Complexity in Neural Machine Translation
    Sweta Agrawal, Marine Carpuat
    http://arxiv.org/abs/1911.00835v1

    • [cs.CL]Credibility-based Fake News Detection
    Niraj Sitaula, Chilukuri K. Mohan, Jennifer Grygiel, Xinyi Zhou, Reza Zafarani
    http://arxiv.org/abs/1911.00643v1

    • [cs.CL]Design and Challenges of Cloze-Style Reading Comprehension Tasks on Multiparty Dialogue
    Changmao Li, Tianhao Liu, Jinho Choi
    http://arxiv.org/abs/1911.00773v1

    • [cs.CL]DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
    Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan
    http://arxiv.org/abs/1911.00536v1

    • [cs.CL]Emergence of Numeric Concepts in Multi-Agent Autonomous Communication
    Shangmin Guo
    http://arxiv.org/abs/1911.01098v1

    • [cs.CL]How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering
    Sanjay Kamath, Brigitte Grau, Yue Ma
    http://arxiv.org/abs/1911.00712v1

    • [cs.CL]Human and Automatic Detection of Generated Text
    Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck
    http://arxiv.org/abs/1911.00650v1

    • [cs.CL]Interpreting Verbal Irony: Linguistic Strategies and the Connection to theType of Semantic Incongruity
    Debanjan Ghosh, Elena Musi, Kartikeya Upasani, Smaranda Muresan
    http://arxiv.org/abs/1911.00891v1

    • [cs.CL]Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations
    Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
    http://arxiv.org/abs/1911.01352v1

    • [cs.CL]Low-dimensional Semantic Space: from Text to Word Embedding
    Xiaolei Lu, Bin Ni
    http://arxiv.org/abs/1911.00845v1

    • [cs.CL]Machine Translation Evaluation using Bi-directional Entailment
    Rakesh Khobragade, Heaven Patel, Anand Namdev, Anish Mishra, Pushpak Bhattacharyya
    http://arxiv.org/abs/1911.00681v1

    • [cs.CL]Machine Translation in Pronunciation Space
    Hairong Liu, Mingbo Ma, Liang Huang
    http://arxiv.org/abs/1911.00932v1

    • [cs.CL]On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
    Tuan Ngo Nguyen, Franck Dernoncourt, Thien Huu Nguyen
    http://arxiv.org/abs/1911.01055v1

    • [cs.CL]Posing Fair Generalization Tasks for Natural Language Inference
    Atticus Geiger, Ignacio Cases, Lauri Karttunen, Chris Potts
    http://arxiv.org/abs/1911.00811v1

    • [cs.CL]Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
    Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, Norman Sadeh
    http://arxiv.org/abs/1911.00841v1

    • [cs.CL]Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
    Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
    http://arxiv.org/abs/1911.00484v2

    • [cs.CL]Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media
    Muhammad Abdul-Mageed, Chiyu Zhang, Arun Rajendran, AbdelRahim Elmadany, Michael Przystupa, Lyle Ungar
    http://arxiv.org/abs/1911.00637v1

    • [cs.CL]Sentiment analysis model for Twitter data in Polish language
    Karol Chlasta
    http://arxiv.org/abs/1911.00985v1

    • [cs.CL]Spherical Text Embedding
    Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han
    http://arxiv.org/abs/1911.01196v1

    • [cs.CL]Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization
    Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si
    http://arxiv.org/abs/1911.00547v1

    • [cs.CL]What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments
    David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan
    http://arxiv.org/abs/1911.00523v1

    • [cs.CL]What does a network layer hear? Analyzing hidden representations of end-to-end ASR through speech synthesis
    Chung-Yi Li, Pei-Chieh Yuan, Hung-Yi Lee
    http://arxiv.org/abs/1911.01102v1

    • [cs.CL]ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
    Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang
    http://arxiv.org/abs/1911.00720v1

    • [cs.CR]A Stealthy Hardware Trojan Exploiting the Architectural Vulnerability of Deep Learning Architectures: Input Interception Attack (IIA)
    Tolulope A. Odetola, Hawzhin Raoof Mohammed, Syed Rafay Hasan
    http://arxiv.org/abs/1911.00783v1

    • [cs.CR]Calcium Vulnerability Scanner (CVS): A Deeper Look
    Sari Sultan, Ayed Salman
    http://arxiv.org/abs/1911.00950v1

    • [cs.CR]Composition Properties of Bayesian Differential Privacy
    Jun Zhao
    http://arxiv.org/abs/1911.00763v1

    • [cs.CR]Relations among different privacy notions
    Jun Zhao
    http://arxiv.org/abs/1911.00761v1

    • [cs.CV]3D tissue reconstruction with Kinect to evaluate neck lymphedema
    Gerrit Brugman, Beril Sirmacek
    http://arxiv.org/abs/1911.00678v1

    • [cs.CV]A Method for Identifying Origin of Digital Images Using a Convolution Neural Network
    Rong Huang, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
    http://arxiv.org/abs/1911.00655v1

    • [cs.CV]A Spectral Nonlocal Block for Neural Networks
    Lei Zhu, Qi She, Lidan Zhang, Ping Guo
    http://arxiv.org/abs/1911.01059v1

    • [cs.CV]Anthropometric clothing measurements from 3D body scans
    Song Yan, Johan Wirta, Joni-Kristian Kämäräinen
    http://arxiv.org/abs/1911.00694v1

    • [cs.CV]CloudifierNet — Deep Vision Models for Artificial Image Processing
    Andrei Damian, Laurentiu Piciu, Alexandru Purdila, Nicolae Tapus
    http://arxiv.org/abs/1911.01346v1

    • [cs.CV]Conservative Wasserstein Training for Pose Estimation
    Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, Kumar B. V. K
    http://arxiv.org/abs/1911.00962v1

    • [cs.CV]Deep Heterogeneous Hashing for Face Video Retrieval
    Shishi Qiao, Ruiping Wang, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/1911.01048v1

    • [cs.CV]DeepBlindness: Fast Blindness Map Estimation and Blindness Type Classification for Outdoor Scene from Single Color Image
    Jiaxiong Qiu, Xinyuan Yu, Guoqiang Yang, Shuaicheng Liu
    http://arxiv.org/abs/1911.00652v1

    • [cs.CV]Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
    Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
    http://arxiv.org/abs/1911.01138v1

    • [cs.CV]Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework
    Congchao Wang, Yizhi Wang, Guoqiang Yu
    http://arxiv.org/abs/1911.00796v1

    • [cs.CV]Eye Semantic Segmentation with a Lightweight Model
    Van Thong Huynh, Soo-Hyung Kim, Guee-Sang Lee, Hyung-Jeong Yang
    http://arxiv.org/abs/1911.01049v1

    • [cs.CV]FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning
    Jiancheng Cai, Hu Han, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/1911.01045v1

    • [cs.CV]FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation
    Jia Liu, Quan Zhou, Yong Qiang, Bin Kang, Xiaofu Wu, Baoyu Zheng
    http://arxiv.org/abs/1911.00632v1

    • [cs.CV]LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection
    Florian Chabot, Mohamed Chaouch, Quoc Cuong Pham
    http://arxiv.org/abs/1911.01149v1

    • [cs.CV]Learning Structure via Consensus for Face Segmentation and Parsing
    Iacopo Masi, Joe Mathai, Wael AbdAlmageed
    http://arxiv.org/abs/1911.00957v1

    • [cs.CV]Learning to Infer Implicit Surfaces without 3D Supervision
    Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li
    http://arxiv.org/abs/1911.00767v1

    • [cs.CV]Leveraging Pretrained Image Classifiers for Language-Based Segmentation
    David Golub, Roberto Martín-Martín, Ahmed El-Kishky, Silvio Savarese
    http://arxiv.org/abs/1911.00830v1

    • [cs.CV]Pixel-wise Conditioning of Generative Adversarial Networks
    Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
    http://arxiv.org/abs/1911.00689v1

    • [cs.CV]Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples
    Hui Li, Jimin Xiao, Mingjie Sun, Eng Gee Lim, Yao Zhao
    http://arxiv.org/abs/1911.00666v1

    • [cs.CV]Quadratic video interpolation
    Xiangyu Xu, Li Siyao, Wenxiu Sun, Qian Yin, Ming-Hsuan Yang
    http://arxiv.org/abs/1911.00627v1

    • [cs.CV]Rolling-Shutter Modelling for Direct Visual-Inertial Odometry
    David Schubert, Nikolaus Demmel, Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers
    http://arxiv.org/abs/1911.01015v1

    • [cs.CV]Scene Text Recognition with Temporal Convolutional Encoder
    Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He
    http://arxiv.org/abs/1911.01051v1

    • [cs.CV]Security of Facial Forensics Models Against Adversarial Attacks
    Rong Huang, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
    http://arxiv.org/abs/1911.00660v1

    • [cs.CV]Segment for Restoration, Restore for Segmentation
    Weihao Xia, Yujiu Yang
    http://arxiv.org/abs/1911.00679v1

    • [cs.CV]Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation
    Wataru Shimoda, Keiji Yanai
    http://arxiv.org/abs/1911.01370v1

    • [cs.CV]Self-supervised Deformation Modeling for Facial Expression Editing
    ShahRukh Athar, Zhixin Shu, Dimitris Samaras
    http://arxiv.org/abs/1911.00735v1

    • [cs.CV]Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations
    Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
    http://arxiv.org/abs/1911.01218v1

    • [cs.CV]Single-Shot Panoptic Segmentation
    Mark Weber, Jonathon Luiten, Bastian Leibe
    http://arxiv.org/abs/1911.00764v1

    • [cs.CV]Singular points detection with semantic segmentation networks
    Jiong Chen, Heng Zhao, Zhicheng Cao, Liaojun Pang
    http://arxiv.org/abs/1911.01106v1

    • [cs.CV]SoildNet: Soiling Degradation Detection in Autonomous Driving
    Arindam Das
    http://arxiv.org/abs/1911.01054v1

    • [cs.CV]Superpixel-Based Background Recovery from Multiple Images
    Lei Gao, Yixing Huang, Andreas Maier
    http://arxiv.org/abs/1911.01223v1

    • [cs.CV]Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications
    Varun Jain, Shivam Aggarwal, Suril Mehta, Ramya Hebbalaguppe
    http://arxiv.org/abs/1911.01320v1

    • [cs.CV]Technical Report: Co-learning of geometry and semantics for online 3D mapping
    Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, Pauline Trouvé-Peloux
    http://arxiv.org/abs/1911.01082v1

    • [cs.CV]Temporal Action Localization using Long Short-Term Dependency
    Yuan Zhou, Hongru Li, Sun-Yuan Kung
    http://arxiv.org/abs/1911.01060v1

    • [cs.CV]Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
    Weihao Xia, Yujiu Yang, Jing-Hao Xue
    http://arxiv.org/abs/1911.00622v1

    • [cs.CV]Using image-extracted features to determine heart rate and blink duration for driver sleepiness detection
    Erfan Darzi, Hamid Soltanian-Zadeh
    http://arxiv.org/abs/1911.01333v1

    • [cs.CV]Visual Relationship Detection with Relative Location Mining
    Hao Zhou, Chongyang Zhang, Chuanping Hu
    http://arxiv.org/abs/1911.00713v1

    • [cs.CV]VoteNet+ : An Improved Deep Learning Label Fusion Method for Multi-atlas Segmentation
    Zhipeng Ding, Xu Han, Marc Niethammer
    http://arxiv.org/abs/1911.00582v1

    • [cs.CY]Do Chinese Internet Users Exist Heterogeneity in Search Behavior?
    Ren-jie Han, Shi-yuan Liu, Qian Li
    http://arxiv.org/abs/1911.00715v1

    • [cs.CY]GDPR Anti-Patterns: How Design and Operation of Modern Cloud-scale Systems Conflict with GDPR
    Supreeth Shastri, Melissa Wasserman, Vijay Chidambaram
    http://arxiv.org/abs/1911.00498v1

    • [cs.CY]Global Regularity and Individual Variability in Dynamic Behaviors of Human Communication
    Jonathan J. H. Zhu, Tai-Quan Peng
    http://arxiv.org/abs/1911.01264v1

    • [cs.CY]Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data
    Ziyuan Pu, Meixin Zhu, Zhiyong Cui, Yinhai Wang
    http://arxiv.org/abs/1911.01282v1

    • [cs.CY]Precision Medicine Informatics: Principles, Prospects, and Challenges
    Muhammad Afzal, S. M. Riazul Islam, Maqbool Hussain, Sungyoung Lee
    http://arxiv.org/abs/1911.01014v1

    • [cs.CY]The Consistency of Trust-Sales Relationship in Latin-American E-commerce
    Henry Laverde-Rojas, Camilo A. Martinez, Oscar Camargo, Gustavo Rojas-Matute, Marithza Sandoval-Escobar, Juan C. Correa
    http://arxiv.org/abs/1911.01280v1

    • [cs.CY]rIoT: Enabling Seamless Context-AwareAutomation in the Internet of Things
    Jie Hua, Chenguang Liu, Tomasz Kalbarczyk, Catherine Wright, Gruia-Catalin Roman, Christine Julien
    http://arxiv.org/abs/1911.01281v1

    • [cs.DB]Proof-of-Execution: Reaching Consensus through Fault-Tolerant Speculation
    Suyash Gupta, Jelle Hellings, Sajjad Rahnama, Mohammad Sadoghi
    http://arxiv.org/abs/1911.00838v1

    • [cs.DB]Scaling Blockchain Databases through Parallel Resilient Consensus Paradigm
    Suyash Gupta, Jelle Hellings, Mohammad Sadoghi
    http://arxiv.org/abs/1911.00837v1

    • [cs.DC]Enabling Enterprise Blockchain Interoperability with Trusted Data Transfer (industry track)
    Ermyas Abebe, Dushyant Behl, Chander Govindarajan, Yining Hu, Dileban Karunamoorthy, Petr Novotny, Vinayaka Pandit, Venkatraman Ramakrishna, Christian Vecchiola
    http://arxiv.org/abs/1911.01064v1

    • [cs.DC]Fast Dimensional Analysis for Root Cause Investigation in Large-Scale Service Environment
    Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar
    http://arxiv.org/abs/1911.01225v1

    • [cs.DC]Leader Election in the Internet of Things: Challenges and Opportunities
    Mohsin Ur Rahman
    http://arxiv.org/abs/1911.00759v1

    • [cs.DC]Raft Consensus Algorithm: an Effective Substitute for Paxos in High Throughput P2P-based Systems
    Mohammad Fazlali, Sara Moazezi Eftekhar, Mohammad Mahdi Dehshibi, Hadi Tabatabaee Malazi, Masoud Nosrati
    http://arxiv.org/abs/1911.01231v1

    • [cs.DC]eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex
    Dimitrios Stathis, Chirag Sudarshan, Yu Yang, Matthias Jung, Syed Asad Mohamad Hasan Jafri, Christian Weis, Ahmed Hemani, Anders Lansner, Norbert Wehn
    http://arxiv.org/abs/1911.00889v1

    • [cs.DM]The Lattice Structure of Linear Subspace Codes
    Pranab Basu, Navin Kashyap
    http://arxiv.org/abs/1911.00721v1

    • [cs.DS]Nearly Optimal Static Las Vegas Succinct Dictionary
    Huacheng Yu
    http://arxiv.org/abs/1911.01348v1

    • [cs.DS]ProbMinHash — A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity
    Otmar Ertl
    http://arxiv.org/abs/1911.00675v1

    • [cs.FL]Automata Learning: An Algebraic Approach
    Henning Urbat, Lutz Schröder
    http://arxiv.org/abs/1911.00874v1

    • [cs.FL]Controlling a random population
    Thomas Colcombet, Nathanaël Fijalkow, Pierre Ohlmann
    http://arxiv.org/abs/1911.01195v1

    • [cs.HC]Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter?
    Giuliano Tortoreto, Evgeny A. Stepanov, Alessandra Cervone, Mateusz Dubiel, Giuseppe Riccardi
    http://arxiv.org/abs/1911.01371v1

    • [cs.HC]An Affective Situation Labeling System from Psychological Behaviors in Emotion Recognition
    Byung Hyung Kim, Sungho Jo
    http://arxiv.org/abs/1911.01158v1

    • [cs.HC]Modeling an Augmented Reality Game Environment to Enhance Behavior of ADHD Patients
    Saad Alqithami, Musaad Alzahrani, Abdulkareem Alzahrani, Ahmed Mostafa
    http://arxiv.org/abs/1911.01003v1

    • [cs.IR]GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment
    Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang
    http://arxiv.org/abs/1911.00760v1

    • [cs.IR]Incremental extraction of a NoSQL database model using an MDA-based process
    Amal Ait Brahim, Rabah Tighilt Ferhat, Gilles Zurfluh
    http://arxiv.org/abs/1911.01270v1

    • [cs.IR]MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering
    Tolgahan Cakaloglu, Xiaowei Xu
    http://arxiv.org/abs/1911.00964v1

    • [cs.IR]Prediction Modeling and Analysis for Telecom Customer Churn in Two Months
    Lingling Yang, Dongyang Li, Yao Lu
    http://arxiv.org/abs/1911.00558v1

    • [cs.IR]Spatial Search Strategies for Open Government Data: A Systematic Comparison
    Auriol Degbelo, Brhane Bahrishum Teka
    http://arxiv.org/abs/1911.01097v1

    • [cs.IR]The Relationship between the Consistency of Users’ Ratings and Recommendation Calibration
    Masoud Mansoury, Himan Abdollahpouri, Joris Rombouts, Mykola Pechenizkiy
    http://arxiv.org/abs/1911.00852v1

    • [cs.IT]3D-Map Assisted UAV Trajectory Design Under Cellular Connectivity Constraints
    Omid Esrafilian, Rajeev Gangula, David Gesbert
    http://arxiv.org/abs/1911.01124v1

    • [cs.IT]A Hierarchical-based Greedy Algorithm for Echelon-Ferrers Construction
    Xianmang He
    http://arxiv.org/abs/1911.00508v1

    • [cs.IT]Active Status Update Packet Drop Control in an Energy Harvesting Node
    Parisa Rafiee, Omur Ozel
    http://arxiv.org/abs/1911.01407v1

    • [cs.IT]HARQ-CC Enabled NOMA Designs With Outage Probability Constraints
    Yanqing Xu, Donghong Cai, Fang Fang, Zhiguo Ding, Chao Shen, Gang Zhu
    http://arxiv.org/abs/1911.01167v1

    • [cs.IT]Molecular Communication in H-Diffusion
    Dung Phuong Trinh, Youngmin Jeong, Hyundong Shin, Moe Z. Win
    http://arxiv.org/abs/1911.01163v1

    • [cs.IT]Molecular Communication with Anomalous Diffusion in Stochastic Nanonetworks
    Dung Phuong Trinh, Youngmin Jeong, Hyundong Shin, Moe Z. Win
    http://arxiv.org/abs/1911.01154v1

    • [cs.IT]On secure communication in sensor networks under q-composite key predistribution with unreliable links
    Jun Zhao
    http://arxiv.org/abs/1911.00718v1

    • [cs.IT]Polar Coding and Random Spreading for Unsourced Multiple Access
    Asit Kumar Pradhan, Vamsi K. Amalladinne, Krishna R. Narayanan, Jean-Francois Chamberland
    http://arxiv.org/abs/1911.01009v1

    • [cs.IT]Probabilistic key predistribution in mobile networks resilient to node-capture attacks
    Jun Zhao
    http://arxiv.org/abs/1911.00724v1

    • [cs.IT]Rate-Power Region of SWIPT Systems Employing Nonlinear Energy Harvester Circuits with Memory
    Nikita Shanin, Laura Cottatellucci, Robert Schober
    http://arxiv.org/abs/1911.01115v1

    • [cs.IT]Robust low-delay Streaming PIR using convolutional codes
    Julia Lieb, Diego Napp, Raquel Pinto
    http://arxiv.org/abs/1911.01316v1

    • [cs.IT]Six constructions of asymptotically optimal codebooks via the character sums
    Wei Lu, Xia Wu, Xiwang Cao, Ming Chen
    http://arxiv.org/abs/1911.00506v1

    • [cs.IT]Sparse Regression Codes
    Ramji Venkataramanan, Sekhar Tatikonda, Andrew Barron
    http://arxiv.org/abs/1911.00771v1

    • [cs.IT]Utility-Aware Optimal Resource Allocation Protocol for UAV-Assisted Small Cells with Heterogeneous Coverage Demands
    Poonam Lohan, Deepak Mishra
    http://arxiv.org/abs/1911.00821v1

    • [cs.LG]A Crowdsourcing Framework for On-Device Federated Learning
    Shashi Raj Pandey, Nguyen H. Tran, Mehdi Bennis, Yan Kyaw Tun, Aunas Manzoor, Choong Seon Hong
    http://arxiv.org/abs/1911.01046v1

    • [cs.LG]Adaptive Statistical Learning with Bayesian Differential Privacy
    Jun Zhao
    http://arxiv.org/abs/1911.00765v1

    • [cs.LG]Adversarial target-invariant representation learning for domain generalization
    Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas
    http://arxiv.org/abs/1911.00804v1

    • [cs.LG]An Algorithm for Routing Capsules in All Domains
    Franz A. Heinsen
    http://arxiv.org/abs/1911.00792v1

    • [cs.LG]Attributed Sequence Embedding
    Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, Jihane Zouaoui, Aditya Arora
    http://arxiv.org/abs/1911.00949v1

    • [cs.LG]Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations
    Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt
    http://arxiv.org/abs/1911.00756v1

    • [cs.LG]Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization
    Alexander Jung
    http://arxiv.org/abs/1911.00958v1

    • [cs.LG]Computationally efficient versions of conformal predictive distributions
    Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman
    http://arxiv.org/abs/1911.00941v1

    • [cs.LG]Enhanced Convolutional Neural Tangent Kernels
    Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, Sanjeev Arora
    http://arxiv.org/abs/1911.00809v1

    • [cs.LG]Ensembles of Locally Independent Prediction Models
    Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez
    http://arxiv.org/abs/1911.01291v1

    • [cs.LG]Explaining the Predictions of Any Image Classifier via Decision Trees
    Sheng Shi, Xinfeng Zhang, Haisheng Li, Wei Fan
    http://arxiv.org/abs/1911.01058v1

    • [cs.LG]Explicit Explore-Exploit Algorithms in Continuous State Spaces
    Mikael Henaff
    http://arxiv.org/abs/1911.00617v1

    • [cs.LG]Fair Predictors under Distribution Shift
    Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara
    http://arxiv.org/abs/1911.00677v1

    • [cs.LG]Fast-UAP: Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors
    Jiazhu Dai, Le Shu
    http://arxiv.org/abs/1911.01172v1

    • [cs.LG]Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
    Jun Sun, Gang Wang, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang
    http://arxiv.org/abs/1911.00934v1

    • [cs.LG]Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
    Andrea Zanette, David Brandfonbrener, Matteo Pirotta, Alessandro Lazaric
    http://arxiv.org/abs/1911.00567v1

    • [cs.LG]Generalized Learning with Rejection for Classification and Regression Problems
    Amina Asif, Fayyaz ul Amir Afsar Minhas
    http://arxiv.org/abs/1911.00896v1

    • [cs.LG]Global Convergence of Gradient Descent for Deep Linear Residual Networks
    Lei Wu, Qingcan Wang, Chao Ma
    http://arxiv.org/abs/1911.00645v1

    • [cs.LG]Improved Detection of Adversarial Attacks via Penetration Distortion Maximization
    Shai Rozenberg, Gal Elidan, Ran El-Yaniv
    http://arxiv.org/abs/1911.00870v1

    • [cs.LG]LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory
    Reza Yazdani, Olatunji Ruwase, Minjia Zhang, Yuxiong He, Jose-Maria Arnau, Antonio Gonzalez
    http://arxiv.org/abs/1911.01258v1

    • [cs.LG]Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo
    Bao Wang, Difan Zou, Quanquan Gu, Stanley Osher
    http://arxiv.org/abs/1911.00782v1

    • [cs.LG]Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem
    Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
    http://arxiv.org/abs/1911.00569v1

    • [cs.LG]Learning based Methods for Code Runtime Complexity Prediction
    Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann
    http://arxiv.org/abs/1911.01155v1

    • [cs.LG]Learning to Fix Build Errors with Graph2Diff Neural Networks
    Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian
    http://arxiv.org/abs/1911.01205v1

    • [cs.LG]Learning-based estimation of dielectric properties and tissue density in head model for personalized radio-frequency dosimetry
    Essam A. Rashed, Yinliang Diao, Akimasa Hirata
    http://arxiv.org/abs/1911.01220v1

    • [cs.LG]Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons
    Xubo Yue, Raed Al Kontar
    http://arxiv.org/abs/1911.01004v1

    • [cs.LG]Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning
    Andrew Cohen, Lei Yu, Xingye Qiao, Xiangrong Tong
    http://arxiv.org/abs/1911.00828v1

    • [cs.LG]Metric Learning for Dynamic Text Classification
    Jeremy Wohlwend, Ethan R. Elenberg, Samuel Altschul, Shawn Henry, Tao Lei
    http://arxiv.org/abs/1911.01026v1

    • [cs.LG]Multi-marginal Wasserstein GAN
    Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan
    http://arxiv.org/abs/1911.00888v1

    • [cs.LG]Multiple Futures Prediction
    Yichuan Charlie Tang, Ruslan Salakhutdinov
    http://arxiv.org/abs/1911.00997v1

    • [cs.LG]Network Revenue Management with Limited Switches: Known and Unknown Demand Distributions
    David Simchi-Levi, Yunzong Xu, Jinglong Zhao
    http://arxiv.org/abs/1911.01067v1

    • [cs.LG]Novel semi-metrics for multivariate change point analysis and anomaly detection
    Nick James, Max Menzies, Lamiae Azizi, Jennifer Chan
    http://arxiv.org/abs/1911.00995v1

    • [cs.LG]Novelty Detection and Learning from Extremely Weak Supervision
    Eduardo Soares, Plamen Angelov
    http://arxiv.org/abs/1911.00616v1

    • [cs.LG]On Batch Bayesian Optimization
    Sayak Ray Chowdhury, Aditya Gopalan
    http://arxiv.org/abs/1911.01032v1

    • [cs.LG]On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment
    Zhibin Liao, Hany Girgis, Amir Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
    http://arxiv.org/abs/1911.00674v1

    • [cs.LG]On-Device Machine Learning: An Algorithms and Learning Theory Perspective
    Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
    http://arxiv.org/abs/1911.00623v1

    • [cs.LG]Online Robustness Training for Deep Reinforcement Learning
    Marc Fischer, Matthew Mirman, Martin Vechev
    http://arxiv.org/abs/1911.00887v1

    • [cs.LG]Order Optimal One-Shot Distributed Learning
    Arsalan Sharifnassab, Saber Salehkaleybar, S. Jamaloddin Golestani
    http://arxiv.org/abs/1911.00731v1

    • [cs.LG]Persistency of Excitation for Robustness of Neural Networks
    Kamil Nar, S. Shankar Sastry
    http://arxiv.org/abs/1911.01043v1

    • [cs.LG]Predicting Weather Uncertainty with Deep Convnets
    Peter Grönquist, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Luca Lavarini, Shigang Li, Torsten Hoefler
    http://arxiv.org/abs/1911.00630v1

    • [cs.LG]Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
    Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger Grosse, Jörn-Henrik Jacobsen
    http://arxiv.org/abs/1911.00937v1

    • [cs.LG]Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches
    Tian Li, Zaoxing Liu, Vyas Sekar, Virginia Smith
    http://arxiv.org/abs/1911.00972v1

    • [cs.LG]Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs
    Andrea Zanette, Emma Brunskill
    http://arxiv.org/abs/1911.00954v1

    • [cs.LG]Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
    Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
    http://arxiv.org/abs/1911.00886v1

    • [cs.LG]Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks
    Tian Ding, Dawei Li, Ruoyu Sun
    http://arxiv.org/abs/1911.01413v1

    • [cs.LG]Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification
    Dino Ienco, Roberto Interdonato, Raffaele Gaetano
    http://arxiv.org/abs/1911.01071v1

    • [cs.LG]Ten-year Survival Prediction for Breast Cancer Patients
    Changmao Li, Han He, Yunze Hao, Caleb Ziems
    http://arxiv.org/abs/1911.00776v1

    • [cs.LG]Ternary MobileNets via Per-Layer Hybrid Filter Banks
    Dibakar Gope, Jesse Beu, Urmish Thakker, Matthew Mattina
    http://arxiv.org/abs/1911.01028v1

    • [cs.LG]Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints
    Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy
    http://arxiv.org/abs/1911.00638v1

    • [cs.LG]Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data
    Ziyuan Pu, Zhiyong Cui, Shuo Wang, Qianmu Li, Yinhai Wang
    http://arxiv.org/abs/1911.00605v1

    • [cs.LG]Unmasking DeepFakes with simple Features
    Ricard Durall, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper
    http://arxiv.org/abs/1911.00686v1

    • [cs.LG]Variable Grouping Based Bayesian Additive Regression Tree
    Yuhao Su, Jie Ding
    http://arxiv.org/abs/1911.00922v1

    • [cs.LG]Variational Bayesian inference of hidden stochastic processes with unknown parameters
    Komlan Atitey, Pavel Loskot, Lyudmila Mihaylova
    http://arxiv.org/abs/1911.00757v1

    • [cs.LG]Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE
    Shen Zhang, Shibo Zhang, Sufei Li, Liang Du, Thomas G. Habetler
    http://arxiv.org/abs/1911.01024v1

    • [cs.LG]Weakly Supervised Deep Learning Approach in Streaming Environments
    Mahardhika Pratama, Andri Ashfahani, Mohamad Abdul Hady
    http://arxiv.org/abs/1911.00847v1

    • [cs.LG]XDeep: An Interpretation Tool for Deep Neural Networks
    Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu
    http://arxiv.org/abs/1911.01005v1

    • [cs.LG]Zeroth Order Non-convex optimization with Dueling-Choice Bandits
    Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski
    http://arxiv.org/abs/1911.00980v1

    • [cs.LO]Compiling Arguments in an Argumentation Framework into Three-valued Logical Expressions
    Sosuke Moriguchi, Kazuko Takahashi
    http://arxiv.org/abs/1911.01185v1

    • [cs.LO]Statistical EL is ExpTime-complete
    Bartosz Bednarczyk
    http://arxiv.org/abs/1911.00696v1

    • [cs.MA]A Comprehensive Study on Pedestrians’ Evacuation
    Danial A. Muhammed, Soran Saeed, Tarik A. Rashid
    http://arxiv.org/abs/1911.01165v1

    • [cs.MM]Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation
    Maedeh Jamali, Mahnoosh Bagheri, Nader Karimi, Shadrokh Samavi
    http://arxiv.org/abs/1911.00772v1

    • [cs.NE]Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
    Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
    http://arxiv.org/abs/1911.00822v1

    • [cs.NE]Human eye inspired log-polar pre-processing for neural networks
    Leendert A Remmelzwaal, Amit Mishra, George F R Ellis
    http://arxiv.org/abs/1911.01141v1

    • [cs.NE]Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems
    Simone Pozzoli, Marco Gallieri, Riccardo Scattolini
    http://arxiv.org/abs/1911.01310v1

    • [cs.NI]Device Scheduling with Fast Convergence for Wireless Federated Learning
    Wenqi Shi, Sheng Zhou, Zhisheng Niu
    http://arxiv.org/abs/1911.00856v1

    • [cs.PL]A Streaming Analytics Language for Processing Cyber Data
    Eric L. Goodman, Dirk Grunwald
    http://arxiv.org/abs/1911.00815v1

    • [cs.RO]A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
    Timo Korthals, Malte Schilling, Jürgen Leitner
    http://arxiv.org/abs/1911.00584v1

    • [cs.RO]Automatic Calibration of Dual-LiDARs Using Two Poles Stickered with Retro-Reflective Tape
    Bohuan Xue, Jianhao Jiao, Yilong Zhu, Linwei Zheng, Dong Han, Ming Liu, Rui Fan
    http://arxiv.org/abs/1911.00635v1

    • [cs.RO]Cooperative Manipulation via Internal Force Regulation: A Rigidity Theory Perspective
    Christos K. Verginis, Daniel Zelazo, Dimos V. Dimarogonas
    http://arxiv.org/abs/1911.01297v1

    • [cs.RO]Furniture Free Mapping
    Zhenpeng He, Jiawei Hou, Sören Schwertfeger
    http://arxiv.org/abs/1911.00663v1

    • [cs.RO]Integrated guidance and control framework for the waypoint navigation of a miniature aircraft with highly coupled longitudinal and lateral dynamics
    K Harikumar, Jinraj V. Pushpangathan, Sidhant Dhall, M. Seetharama Bhat
    http://arxiv.org/abs/1911.01063v1

    • [cs.RO]Learning One-Shot Imitation from Humans without Humans
    Alessandro Bonardi, Stephen James, Andrew J. Davison
    http://arxiv.org/abs/1911.01103v1

    • [cs.RO]Learning to Scaffold the Development of Robotic Manipulation Skills
    Lin Shao, Toki Migimatsu, Jeannette Bohg
    http://arxiv.org/abs/1911.00969v1

    • [cs.SI]Examining UK drill music through sentiment trajectory analysis
    Bennett Kleinberg, Paul McFarlane
    http://arxiv.org/abs/1911.01324v1

    • [cs.SI]The Bow-Tie Centrality: A Novel Measure for Directed and Weighted Networks with an Intrinsic Node Property
    James B Glattfelder
    http://arxiv.org/abs/1911.00924v1

    • [econ.GN]Modeling National Latent Socioeconomic Health and Examination of Policy Effects via Causal Inference
    F. Swen Kuh, Grace S. Chiu, Anton H. Westveld
    http://arxiv.org/abs/1911.00512v1

    • [eess.AS]Supervised online diarization with sample mean loss for multi-domain data
    Enrico Fini, Alessio Brutti
    http://arxiv.org/abs/1911.01266v1

    • [eess.AS]Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scores
    Alexey Sholokhov, Tomi Kinnunen, Ville Vestman, Kong Aik Lee
    http://arxiv.org/abs/1911.01182v1

    • [eess.IV]A low-cost real-time 3D imaging system for contactless asthma observation
    Sheona M. M. D. P. Sequeira, Beril Sirmacek
    http://arxiv.org/abs/1911.00879v1

    • [eess.IV]AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results
    Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang
    http://arxiv.org/abs/1911.01249v1

    • [eess.IV]Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks
    Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Gerda Bortsova, Wiro Niessen, Marleen de Bruijne
    http://arxiv.org/abs/1911.01126v1

    • [eess.IV]CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
    Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng
    http://arxiv.org/abs/1911.01376v1

    • [eess.IV]Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking
    Yuan Zhou, Xiaoting Du, Yeda Zhang, Sun-Yuan Kung
    http://arxiv.org/abs/1911.01257v1

    • [eess.IV]Digital phase-only holography using deep conditional generative models
    Jannes Gladrow
    http://arxiv.org/abs/1911.00904v1

    • [eess.IV]Domain-Aware No-Reference Image Quality Assessment
    Weihao Xia, Yujiu Yang, Jing-Hao Xue, Jing Xiao
    http://arxiv.org/abs/1911.00673v1

    • [eess.IV]Field of View Extension in Computed Tomography Using Deep Learning Prior
    Yixing Huang, Lei Gao, Alexander Preuhs, Andreas Maier
    http://arxiv.org/abs/1911.01178v1

    • [eess.IV]Gland Segmentation in Histopathological Images by Deep Neural Network
    Safiye Rezaei, Ali Emami, Nader Karimi, Shadrokh Samavi
    http://arxiv.org/abs/1911.00909v1

    • [eess.IV]Image Inpainting by Adaptive Fusion of Variable Spline Interpolations
    Zahra Nabizadeh, Ghazale Ghorbanzade, Nader Karimi, Shadrokh Samavi
    http://arxiv.org/abs/1911.00825v1

    • [eess.IV]Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks
    Zahra Sobhaninia, Ali Emami, Nader Karimi, Shadrokh Samavi
    http://arxiv.org/abs/1911.00908v1

    • [eess.IV]PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation
    Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang
    http://arxiv.org/abs/1911.01062v1

    • [eess.SP]An Approximate Message Passing Algorithm for Rapid Parameter-Free Compressed Sensing MRI
    Charles Millard, Aaron T Hess, Boris Mailhé, Jared Tanner
    http://arxiv.org/abs/1911.01234v1

    • [eess.SP]Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data
    Akitoshi Masuda, Yoshihiko Susuki, Manel Martínez-Ramón, Andrea Mammoli, Atsushi Ishigame
    http://arxiv.org/abs/1911.01143v1

    • [eess.SP]Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
    Yu Qi, Bin Liu, Yueming Wang, Gang Pan
    http://arxiv.org/abs/1911.00714v1

    • [math.CO]Shannon capacity and the categorical product
    Gábor Simonyi
    http://arxiv.org/abs/1911.00944v1

    • [math.CT]Formal composition of hybrid systems
    Jared Culbertson, Paul Gustafson, Daniel E. Koditschek, Peter F. Stiller
    http://arxiv.org/abs/1911.01267v1

    • [math.ST]Estimating Certain Integral Probability Metric (IPM) is as Hard as Estimating under the IPM
    Tengyuan Liang
    http://arxiv.org/abs/1911.00730v1

    • [math.ST]Iterative Algorithm for Discrete Structure Recovery
    Chao Gao, Anderson Y. Zhang
    http://arxiv.org/abs/1911.01018v1

    • [math.ST]Modeling and estimation of multivariate discrete and continuous time stationary processes
    Marko Voutilainen
    http://arxiv.org/abs/1911.01065v1

    • [math.ST]On The Study Of D-Optimal Saturated Designs For Mean, Main Effects and $F_1$-Two-Factor Interactions For $2^k$-Factorial Experiments
    Francois K Domagni, A. S. Hedayat, Bikas Kumar Sinha
    http://arxiv.org/abs/1911.00794v1

    • [math.ST]Optimality of Spectral Clustering for Gaussian Mixture Model
    Matthias Löffler, Anderson Y. Zhang, Harrison H. Zhou
    http://arxiv.org/abs/1911.00538v1

    • [math.ST]Piecewise autoregression for general integer-valued time series
    Mamadou Lamine Diop, William Kengne
    http://arxiv.org/abs/1911.00989v1

    • [math.ST]Reply to on some problems in the article “Efficient likelihood estimation in state space models” by Cheng-Der Fuh [Ann, Statist. 34 (2006) 2026-2068]**
    Cheng-Der Fuh, Chu-Lan Kao
    http://arxiv.org/abs/1911.00813v1

    • [nlin.CG]Evolving Structures in Complex Systems
    Hugo Cisneros, Josef Sivic, Tomas Mikolov
    http://arxiv.org/abs/1911.01086v1

    • [physics.soc-ph]Annotated Hypergraphs: Models and Applications
    Philip Chodrow, Andrew Mellor
    http://arxiv.org/abs/1911.01331v1

    • [q-bio.GN]Meta-Analysis of Genomic and Transcriptomic Variations in Lung Adenocarcinoma
    Talip Zengin, Tuğba Önal-Süzek
    http://arxiv.org/abs/1911.00511v1

    • [q-bio.NC]The Intrinsic Properties of Brain Based on the Network Structure
    Xiang Zou, Lie Yao, Donghua Zhao, Liang Chen, Ying Mao
    http://arxiv.org/abs/1911.00640v1

    • [q-bio.QM]A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification
    Shigang Liu, Jun Zhang, Yang Xiang, Wanlei Zhou, Dongxi Xiang
    http://arxiv.org/abs/1911.00996v1

    • [q-bio.QM]Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning
    Hui Xue, Rhodri Davies, Louis AE Brown, Kristopher D Knott, Tushar Kotecha, Marianna Fontana, Sven Plein, James C Moon, Peter Kellman
    http://arxiv.org/abs/1911.00625v1

    • [q-bio.QM]Fetal cardiovascular decompensation during labor predicted from the individual heart rate: a prospective study in fetal sheep near term and the impact of low sampling rate
    Nathan Gold, Christophe L. Herry, Xiaogang Wang, Martin G. Frasch
    http://arxiv.org/abs/1911.01304v1

    • [quant-ph]Thermal Efficiency of Quantum Memory Compression
    Samuel P. Loomis, James P. Crutchfield
    http://arxiv.org/abs/1911.00998v1

    • [stat.AP]A simple study of the correlation effects in the superposition of waves of electric fields: the emergence of extreme events
    Roberto da Silva, Sandra D. Prado
    http://arxiv.org/abs/1911.00827v1

    • [stat.AP]Probabilistic Formulation of the Take The Best Heuristic
    Tomi Peltola, Jussi Jokinen, Samuel Kaski
    http://arxiv.org/abs/1911.00572v1

    • [stat.AP]The Importance of Environmental Factors in Forecasting Australian Power Demand
    Ali Eshragh, Benjamin Ganim, Terry Perkins
    http://arxiv.org/abs/1911.00817v1

    • [stat.AP]fMRI group analysis based on outputs from Matrix-Variate Dynamic Linear Models
    Johnatan Cardona Jiménez
    http://arxiv.org/abs/1911.00708v1

    • [stat.CO]BIMC: The Bayesian Inverse Monte Carlo method for goal-oriented uncertainty quantification. Part I
    Siddhant Wahal, George Biros
    http://arxiv.org/abs/1911.00619v1

    • [stat.CO]Bayesian model averaging with the integrated nested Laplace approximation
    Virgilio Gómez-Rubio, Roger S. Bivand, Håvard Rue
    http://arxiv.org/abs/1911.00797v1

    • [stat.CO]Estimating accuracy of the MCMC variance estimator: a central limit theorem for batch means estimators
    Saptarshi Chakraborty, Suman K. Bhattacharya, Kshitij Khare
    http://arxiv.org/abs/1911.00915v1

    • [stat.CO]Non-reversible jump algorithms for Bayesian nested model selection
    Philippe Gagnon, Arnaud Doucet
    http://arxiv.org/abs/1911.01340v1

    • [stat.CO]Sparse inversion for derivative of log determinant
    Shengxin Zhu, Andrew J Wathen
    http://arxiv.org/abs/1911.00685v1

    • [stat.ME]“Predicting” after peeking into the future: Correcting a fundamental flaw in the SAOM — TERGM comparison of Leifeld and Cranmer (2019)
    Per Block, James Hollway, Christoph Stadtfeld, Johan Koskinen, Tom Snijders
    http://arxiv.org/abs/1911.01385v1

    • [stat.ME]An aberration criterion for conditional models
    Ming-Chung Chang
    http://arxiv.org/abs/1911.00717v1

    • [stat.ME]Bayesian Matrix Completion Approach to Causal Inference with Panel Data
    Masahiro Tanaka
    http://arxiv.org/abs/1911.01287v1

    • [stat.ME]Bayesian inference for dynamic vine copulas in higher dimensions
    Alexander Kreuzer, Claudia Czado
    http://arxiv.org/abs/1911.00702v1

    • [stat.ME]Gaussian process metamodeling for experiments with manipulating factors
    Chiwoo Park, Rahul Rao, Pavel Nikolaev, Benji Maruyama
    http://arxiv.org/abs/1911.00955v1

    • [stat.ME]Model Specification Test with Unlabeled Data: Approach from Covariate Shift
    Masahiro Kato, Hikaru Kawarazaki
    http://arxiv.org/abs/1911.00688v1

    • [stat.ME]Online Debiasing for Adaptively Collected High-dimensional Data
    Yash Deshpande, Adel Javanmard, Mohammad Mehrabi
    http://arxiv.org/abs/1911.01040v1

    • [stat.ME]Optimal two-stage testing of multiple mediators
    Vera Djordjilović, Jesse Hemerik, Magne Thoresen
    http://arxiv.org/abs/1911.00862v1

    • [stat.ME]Penalized robust estimators in logistic regression with applications to sparse models
    Ana M. Bianco, Graciela Boente, Gonzalo Chebi
    http://arxiv.org/abs/1911.00554v1

    • [stat.ME]Quantile regression: a penalization approach
    Álvaro Méndez Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo
    http://arxiv.org/abs/1911.01081v1

    • [stat.ME]Rank-deficiencies in a reduced information latent variable model
    Daniel L. Oberski
    http://arxiv.org/abs/1911.00770v1

    • [stat.ME]Yakovlev Promotion Time Cure Model with Local Polynomial Estimation
    Li-Hsiang Lin, Li-Shan Huang
    http://arxiv.org/abs/1911.00741v1

    • [stat.ML]Amortized Population Gibbs Samplers with Neural Sufficient Statistics
    Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
    http://arxiv.org/abs/1911.01382v1

    • [stat.ML]Asymptotic Consistency of Loss-Calibrated Variational Bayes
    Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
    http://arxiv.org/abs/1911.01288v1

    • [stat.ML]Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
    Daeryong Kim, Bongwon Suh
    http://arxiv.org/abs/1911.00936v1

    • [stat.ML]Global Adaptive Generative Adjustment
    Bin Wang, Xiaofei Wang, Jianhua Guo
    http://arxiv.org/abs/1911.00658v1

    • [stat.ML]Gradient-based Adaptive Markov Chain Monte Carlo
    Michalis K. Titsias, Petros Dellaportas
    http://arxiv.org/abs/1911.01373v1

    • [stat.ML]Inferring Coordination Strategies from Time Series of Movement Data
    Chainarong Amornbunchornvej, Tanya Berger-Wolf
    http://arxiv.org/abs/1911.01366v1

    • [stat.ML]Seasonally-Adjusted Auto-Regression of Vector Time Series
    Enzo Busseti
    http://arxiv.org/abs/1911.01010v1