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
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• [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