astro-ph.IM - 仪器仪表和天体物理学方法 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.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 physics.flu-dyn - 流体动力学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 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.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Unsupervised Distribution Learning for Lunar Surface Anomaly Detection
    • [cs.AI]Fairness in Learning-Based Sequential Decision Algorithms: A Survey
    • [cs.AI]Interpretation and Simplification of Deep Forest
    • [cs.AI]Knowledge Representations in Technical Systems — A Taxonomy
    • [cs.AI]Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration
    • [cs.CL]Balancing the composition of word embeddings across heterogenous data sets
    • [cs.CL]Bi-Decoder Augmented Network for Neural Machine Translation
    • [cs.CL]Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
    • [cs.CL]On the Replicability of Combining Word Embeddings and Retrieval Models
    • [cs.CR]Differentially Private and Fair Classification via Calibrated Functional Mechanism
    • [cs.CR]IoT Network Behavioral Fingerprint Inference with Limited Network Trace for Cyber Investigation: A Meta Learning Approach
    • [cs.CR]Shades of Perception- User Factors in Identifying Password Strength
    • [cs.CV]180-degree Outpainting from a Single Image
    • [cs.CV]Actions as Moving Points
    • [cs.CV]Boosting Deep Face Recognition via Disentangling Appearance and Geometry
    • [cs.CV]Convolutional Mean: A Simple Convolutional Neural Network for Illuminant Estimation
    • [cs.CV]Cross-dataset Training for Class Increasing Object Detection
    • [cs.CV]Deep Audio-Visual Learning: A Survey
    • [cs.CV]Deep Image Compression using Decoder Side Information
    • [cs.CV]Deep Learning Stereo Vision at the edge
    • [cs.CV]EGO-TOPO: Environment Affordances from Egocentric Video
    • [cs.CV]Face Attribute Invertion
    • [cs.CV]Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features
    • [cs.CV]GridMask Data Augmentation
    • [cs.CV]Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition
    • [cs.CV]ImagineNet: Restyling Apps Using Neural Style Transfer
    • [cs.CV]Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
    • [cs.CV]Learned Multi-View Texture Super-Resolution
    • [cs.CV]Learning Transformation-Aware Embeddings for Image Forensics
    • [cs.CV]NODIS: Neural Ordinary Differential Scene Understanding
    • [cs.CV]Neural Architecture Search for Deep Image Prior
    • [cs.CV]Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention
    • [cs.CV]Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation
    • [cs.CV]Seeing the World in a Bag of Chips
    • [cs.CV]Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
    • [cs.CV]Structured Consistency Loss for semi-supervised semantic segmentation
    • [cs.CV]Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment
    • [cs.CV]Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis
    • [cs.CV]Visual Storytelling via Predicting Anchor Word Embeddings in the Stories
    • [cs.CY]Donald Duck Holiday Game: A numerical analysis of a Game of the Goose role-playing variant
    • [cs.CY]Preliminary Study of a Google Home Mini
    • [cs.DB]On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds
    • [cs.DC]Cloudburst: Stateful Functions-as-a-Service
    • [cs.DC]Live Exploration with Mobile Robots in a Dynamic Ring, Revisited
    • [cs.DC]Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach
    • [cs.DC]What’s Live? Understanding Distributed Consensus
    • [cs.DS]Fast Generation of Big Random Binary Trees
    • [cs.DS]Optimal Approximate Sampling from Discrete Probability Distributions
    • [cs.GR]Neural Human Video Rendering: Joint Learning of Dynamic Textures and Rendering-to-Video Translation
    • [cs.GR]On Demand Solid Texture Synthesis Using Deep 3D Networks
    • [cs.GT]Hierarchical Network Formation Games
    • [cs.HC]Detecting depression in dyadic conversations with multimodal narratives and visualizations
    • [cs.HC]Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving
    • [cs.HC]Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems
    • [cs.IR]Asymmetric Correlation Quantization Hashing for Cross-modal Retrieval
    • [cs.IR]Enabling the Analysis of Personality Aspects in Recommender Systems
    • [cs.IR]Negative Statements Considered Useful
    • [cs.IR]Semi-automatic methods for adding words to the dictionary of VepKar corpus based on inflectional rules extracted from Wiktionary
    • [cs.IR]TableQnA: Answering List Intent Queries With Web Tables
    • [cs.IT]Age-Oriented Opportunistic Relaying in Cooperative Status Update Systems with Stochastic Arrivals
    • [cs.IT]Age-of-Information Dependent Random Access for Massive IoT Networks
    • [cs.IT]An Index Coding Approach to Caching with Uncoded Cache Placement
    • [cs.IT]Classical Coding Problem from Transversal $T$ Gates
    • [cs.IT]Coded Data Rebalancing: Fundamental Limits and Constructions
    • [cs.IT]Cramér-Rao Lower Bounds Arising from Generalized Csiszár Divergences
    • [cs.IT]Decentralized sequential active hypothesis testing and the MAC feedback capacity
    • [cs.IT]Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach
    • [cs.IT]Generic Decoding in the Sum-Rank Metric
    • [cs.IT]Group Testing with Runlength Constraints for Topological Molecular Storage
    • [cs.IT]Hybrid LiFi and WiFi Networks: A Survey
    • [cs.IT]Impact of Spatial Multiplexing on Throughput of Ultra-Dense mmWave AP Network
    • [cs.IT]Isomorphism Problem Revisited: Information Spectrum Approach
    • [cs.IT]Joint Constellation Design for the Two-User Non-Coherent Multiple-Access Channel
    • [cs.IT]Low-Rank Parity-Check Codes over the Ring of Integers Modulo a Prime Power
    • [cs.IT]Mass Error-Correction Codes for Polymer-Based Data Storage
    • [cs.IT]Multi-Kernel Polar Codes: Concept and Design Principles
    • [cs.IT]NR-U and WiGig Coexistence in 60 GHz Bands
    • [cs.IT]New Construction of Complementary Sequence (or Array) Sets and Complete Complementary Codes
    • [cs.IT]On Hard-Decision Decoding of Product Codes
    • [cs.IT]On the Pilot Contamination Attack in Multi-Cell Multiuser Massive MIMO Networks
    • [cs.IT]Partial MDS Codes with Local Regeneration
    • [cs.IT]Physical Layer Security for NOMA Transmission in mmWave Drone Networks
    • [cs.IT]Private Computation with Individual and Joint Privacy
    • [cs.IT]Private Information Retrieval Over Gaussian MAC
    • [cs.IT]Second-Order Asymptotics of Sequential Hypothesis Testing
    • [cs.IT]Self-reciprocal and self-conjugate-reciprocal irreducible factors of $x^n-λ$ and their applications
    • [cs.IT]Topology-Aware Cooperative Data Protection in Blockchain-Based Decentralized Storage Networks
    • [cs.IT]Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks
    • [cs.LG]A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and network layer
    • [cs.LG]Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
    • [cs.LG]Adversarial Disentanglement with Grouped Observations
    • [cs.LG]Analysis of Bayesian Inference Algorithms by the Dynamical Functional Approach
    • [cs.LG]Bio-Inspired Hashing for Unsupervised Similarity Search
    • [cs.LG]Block-wise Dynamic Sparseness
    • [cs.LG]Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders
    • [cs.LG]Closed-loop deep learning: generating forward models with back-propagation
    • [cs.LG]DDSP: Differentiable Digital Signal Processing
    • [cs.LG]Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)
    • [cs.LG]Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond
    • [cs.LG]Domain Adaption for Knowledge Tracing
    • [cs.LG]Faster Transformer Decoding: N-gram Masked Self-Attention
    • [cs.LG]High—Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality
    • [cs.LG]HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset
    • [cs.LG]Hydra: Preserving Ensemble Diversity for Model Distillation
    • [cs.LG]Internal repre
    5713
    sentation dynamics and geometry in recurrent neural networks
    • [cs.LG]Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation
    • [cs.LG]On the Convex Behavior of Deep Neural Networks in Relation to the Layers’ Width
    • [cs.LG]Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction
    • [cs.LG]Private Machine Learning via Randomised Response
    • [cs.LG]Quantisation and Pruning for Neural Network Compression and Regularisation
    • [cs.LG]Robust Gaussian Process Regression with a Bias Model
    • [cs.LG]SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders
    • [cs.LG]Smooth markets: A basic mechanism for organizing gradient-based learners
    • [cs.LG]Towards detection and classification of microscopic foraminifera using transfer learning
    • [cs.LG]Understanding and mitigating gradient pathologies in physics-informed neural networks
    • [cs.LO]A (Simplified) Supreme Being Necessarily Exists — Says the Computer!
    • [cs.MM]Distortion Agnostic Deep Watermarking
    • [cs.NI]Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
    • [cs.PF]Optimal Scheduling for Maximizing Information Freshness & System Performance in Industrial Cyber-Physical Systems
    • [cs.RO]Companion Unmanned Aerial Vehicles: A Survey
    • [cs.RO]FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments
    • [cs.RO]Multi-Robot Formation Control Using Reinforcement Learning
    • [cs.RO]SMT-based Robot Transition Repair
    • [cs.RO]Simulate forest trees by integrating L-system and 3D CAD files
    • [cs.RO]Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk
    • [cs.SI]A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts
    • [cs.SI]Change Detection in Dynamic Attributed Networks
    • [cs.SI]EGGS: A Flexible Approach to Relational Modeling of Social Network Spam
    • [eess.AS]Improved Robust ASR for Social Robots in Public Spaces
    • [eess.IV]Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition
    • [eess.IV]Edge Preserving CNN SAR Despeckling Algorithm
    • [eess.IV]Effects of annotation granularity in deep learning models for histopathological images
    • [eess.IV]Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification
    • [eess.SP]Deep Learning for ECG Segmentation
    • [eess.SP]Noncooperative Precoding for Massive MIMO HetNets: SILNR Maximization Precoding
    • [eess.SP]Processing Distribution and Architecture Tradeoff for Large Intelligent Surface Implementation
    • [eess.SY]Parameterized and GPU-Parallelized Real-Time Model Predictive Control for High Degree of Freedom Robots
    • [eess.SY]Recovering the Structural Observability of Composite Networks via Cartesian Product
    • [eess.SY]Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Büchi Automata
    • [math.NA]s-Step Orthomin and GMRES implemented on parallel computers
    • [math.PR]The eigenstructure of the sample covariance matrices of high-dimensional stochastic volatility models with heavy tails
    • [math.ST]Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity
    • [math.ST]Minimax adaptive estimation in manifold inference
    • [physics.flu-dyn]Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling
    • [physics.soc-ph]Assessing the Impact of the Physical Environment on Comfort and Job Satisfaction in Offices
    • [physics.soc-ph]Pedestrian orientation dynamics from high-fidelity measurements
    • [physics.soc-ph]Street-level Travel-time Estimation via Aggregated Uber Data
    • [physics.soc-ph]The wisdom of the few: Predicting collective success from individual behavior
    • [q-bio.MN]A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways
    • [q-bio.NC]Unifying and generalizing models of neural dynamics during decision-making
    • [q-bio.QM]Sensitivity analysis methods in the biomedical sciences
    • [quant-ph]Parametric Probabilistic Quantum Memory
    • [stat.AP]Asymptotic Performance Analysis of Non-Bayesian Quickest Change Detection with an Energy Harvesting Sensor
    • [stat.AP]Human mortality at extreme age
    • [stat.AP]Iterative Bayesian-based Localization Mechanism for Industry Verticals
    • [stat.AP]Scoring Predictions at Extreme Quantiles
    • [stat.ME]A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data
    • [stat.ME]Graph-Fused Multivariate Regression via Total Variation Regularization
    • [stat.ME]Multicategory Angle-based Learning for Estimating Optimal Dynamic Treatment Regime
    38ed
    s with Censored Data
    • [stat.ME]Nonparametric Trend Estimation in Functional Time Series with Application to Annual Mortality Rates
    • [stat.ME]Nonparametric regression for multiple heterogeneous networks
    • [stat.ML]A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification
    • [stat.ML]Bayesian Quantile and Expectile Optimisation
    • [stat.ML]Conditional Variational Inference with Adaptive Truncation for Bayesian Nonparametric Models
    • [stat.ML]Efficient Debiased Variational Bayes by Multilevel Monte Carlo Methods
    • [stat.ML]For2For: Learning to forecast from forecasts
    • [stat.ML]Learning Overlapping Representations for the Estimation of Individualized Treatment Effects
    • [stat.ML]Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings

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

    • [astro-ph.IM]Unsupervised Distribution Learning for Lunar Surface Anomaly Detection
    Adam Lesnikowski, Valentin T. Bickel, Daniel Angerhausen
    http://arxiv.org/abs/2001.04634v1

    • [cs.AI]Fairness in Learning-Based Sequential Decision Algorithms: A Survey
    Xueru Zhang, Mingyan Liu
    http://arxiv.org/abs/2001.04861v1

    • [cs.AI]Interpretation and Simplification of Deep Forest
    Sangwon Kim, Mira Jeong, Byoung Chul Ko
    http://arxiv.org/abs/2001.04721v1

    • [cs.AI]Knowledge Representations in Technical Systems — A Taxonomy
    Kristina Scharei, Florian Heidecker, Maarten Bieshaar
    http://arxiv.org/abs/2001.04835v1

    • [cs.AI]Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration
    Pedro Zuidberg Dos Martires, Samuel Kolb
    http://arxiv.org/abs/2001.04566v1

    • [cs.CL]Balancing the composition of word embeddings across heterogenous data sets
    Stephanie Brandl, David Lassner, Maximilian Alber
    http://arxiv.org/abs/2001.04693v1

    • [cs.CL]Bi-Decoder Augmented Network for Neural Machine Translation
    Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai
    http://arxiv.org/abs/2001.04586v1

    • [cs.CL]Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
    Roei Schuster, Tal Schuster, Yoav Meri, Vitaly Shmatikov
    http://arxiv.org/abs/2001.04935v1

    • [cs.CL]On the Replicability of Combining Word Embeddings and Retrieval Models
    Luca Papariello, Alexandros Bampoulidis, Mihai Lupu
    http://arxiv.org/abs/2001.04484v1

    • [cs.CR]Differentially Private and Fair Classification via Calibrated Functional Mechanism
    Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan
    http://arxiv.org/abs/2001.04958v1

    • [cs.CR]IoT Network Behavioral Fingerprint Inference with Limited Network Trace for Cyber Investigation: A Meta Learning Approach
    Jonathan Pan
    http://arxiv.org/abs/2001.04705v1

    • [cs.CR]Shades of Perception- User Factors in Identifying Password Strength
    Jason M. Pittman, Nikki Robinson
    http://arxiv.org/abs/2001.04930v1

    • [cs.CV]180-degree Outpainting from a Single Image
    Zhenqiang Ying, Alan Bovik
    http://arxiv.org/abs/2001.04568v1

    • [cs.CV]Actions as Moving Points
    Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu
    http://arxiv.org/abs/2001.04608v1

    • [cs.CV]Boosting Deep Face Recognition via Disentangling Appearance and Geometry
    Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi
    http://arxiv.org/abs/2001.04559v1

    • [cs.CV]Convolutional Mean: A Simple Convolutional Neural Network for Illuminant Estimation
    Han Gong
    http://arxiv.org/abs/2001.04911v1

    • [cs.CV]Cross-dataset Training for Class Increasing Object Detection
    Yongqiang Yao, Yan Wang, Yu Guo, Jiaojiao Lin, Hongwei Qin, Junjie Yan
    http://arxiv.org/abs/2001.04621v1

    • [cs.CV]Deep Audio-Visual Learning: A Survey
    Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He
    http://arxiv.org/abs/2001.04758v1

    • [cs.CV]Deep Image Compression using Decoder Side Information
    Sharon Ayzik, Shai Avidan
    http://arxiv.org/abs/2001.04753v1

    • [cs.CV]Deep Learning Stereo Vision at the edge
    Luca Puglia, Cormac Brick
    http://arxiv.org/abs/2001.04552v1

    • [cs.CV]EGO-TOPO: Environment Affordances from Egocentric Video
    Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman
    http://arxiv.org/abs/2001.04583v1

    • [cs.CV]Face Attribute Invertion
    X G Tu, Y Luo, H S Zhang, W J Ai, Z Ma, M Xie
    http://arxiv.org/abs/2001.04665v1

    • [cs.CV]Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features
    Andres Mafla, Sounak Dey, Ali Furkan Biten, Lluis Gomez, Dimosthenis Karatzas
    http://arxiv.org/abs/2001.04732v1

    • [cs.CV]GridMask Data Augmentation
    Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia
    http://arxiv.org/abs/2001.04086v2

    • [cs.CV]Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition
    Lei Wang, Piotr Koniusz
    http://arxiv.org/abs/2001.04627v1

    • [cs.CV]ImagineNet: Restyling Apps Using Neural Style Transfer
    Michael H. Fischer, Richard R. Yang, Monica S. Lam
    http://arxiv.org/abs/2001.04932v1

    • [cs.CV]Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
    Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhixin Yang
    http://arxiv.org/abs/2001.04803v1

    • [cs.CV]Learned Multi-View Texture Super-Resolution
    Audrey Richard, Ian Cherabier, Martin R. Oswald, Vagia Tsiminaki, Marc Pollefeys, Konrad Schindler
    http://arxiv.org/abs/2001.04775v1

    • [cs.CV]Learning Transformation-Aware Embeddings for Image Forensics
    Aparna Bharati, Daniel Moreira, Patrick Flynn, Anderson Rocha, Kevin Bowyer, Walter Scheirer
    http://arxiv.org/abs/2001.04547v1

    • [cs.CV]NODIS: Neural Ordinary Differential Scene Understanding
    Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
    http://arxiv.org/abs/2001.04735v1

    • [cs.CV]Neural Architecture Search for Deep Image Prior
    Kary Ho, Andrew Gilbert, Hailin Jin, John Collomosse
    http://arxiv.org/abs/2001.04776v1

    • [cs.CV]Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention
    Ibrahim Halfaoui, Fahd Bouzaraa, Onay Urfalioglu, Li Minzhen
    http://arxiv.org/abs/2001.04708v1

    • [cs.CV]Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation
    Madan Ravi Ganesh, Jason J. Corso
    http://arxiv.org/abs/2001.04529v1

    • [cs.CV]Seeing the World in a Bag of Chips
    Jeong Joon Park, Aleksander Holynski, Steve Seitz
    http://arxiv.org/abs/2001.04642v1

    • [cs.CV]Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
    Qi Wang, Qiang Li, Xuelong Li
    http://arxiv.org/abs/2001.04609v1

    • [cs.CV]Structured Consistency Loss for semi-supervised semantic segmentation
    Jongmok Kim, Jooyoung Jang, Hyunwoo Park
    http://arxiv.org/abs/2001.04647v1

    • [cs.CV]Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment
    Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh
    http://arxiv.org/abs/2001.04692v1

    • [cs.CV]Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis
    Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong
    http://arxiv.org/abs/2001.04928v1

    • [cs.CV]Visual Storytelling via Predicting Anchor Word Embeddings in the Stories
    Bowen Zhang, Hexiang Hu, Fei Sha
    http://arxiv.org/abs/2001.04541v1

    • [cs.CY]Donald Duck Holiday Game: A numerical analysis of a Game of the Goose role-playing variant
    W. J. A. van Heeswijk
    http://arxiv.org/abs/2001.04513v1

    • [cs.CY]Preliminary Study of a Google Home Mini
    Min Jin Park, Joshua I. James
    http://arxiv.org/abs/2001.04574v1

    • [cs.DB]On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds
    Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen
    http://arxiv.org/abs/2001.04757v1

    • [cs.DC]Cloudburst: Stateful Functions-as-a-Service
    Vikram Sreekanti, Chenggang Wu Xiayue Charles Lin, Jose M. Faleiro, Joseph E. Gonzalez, Joseph M. Hellerstein, Alexey Tumanov
    http://arxiv.org/abs/2001.04592v1

    • [cs.DC]Live Exploration with Mobile Robots in a Dynamic Ring, Revisited
    Subhrangsu Mandal, Anisur Rahaman Molla, William K. Moses Jr
    http://arxiv.org/abs/2001.04525v1

    • [cs.DC]Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach
    Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
    http://arxiv.org/abs/2001.03836v2

    • [cs.DC]What’s Live? Understanding Distributed Consensus
    Saksham Chand, Yanhong A Liu
    http://arxiv.org/abs/2001.04787v1

    • [cs.DS]Fast Generation of Big Random Binary Trees
    William B. Langdon
    http://arxiv.org/abs/2001.04505v1

    • [cs.DS]Optimal Approximate Sampling from Discrete Probability Distributions
    Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka
    http://arxiv.org/abs/2001.04555v1

    • [cs.GR]Neural Human Video Rendering: Joint Learning of Dynamic Textures and Rendering-to-Video Translation
    Lingjie Liu, Weipeng Xu, Marc Habermann, Michael Zollhoefer, Florian Bernard, Hyeongwoo Kim, Wenping Wang, Christian Theobalt
    http://arxiv.org/abs/2001.04947v1

    • [cs.GR]On Demand Solid Texture Synthesis Using Deep 3D Networks
    Jorge Gutierrez, Julien Rabin, Bruno Galerne, Thomas Hurtut
    http://arxiv.org/abs/2001.04528v1

    • [cs.GT]Hierarchical Network Formation Games
    Pedro Cisneros-Velarde, Francesco Bullo
    http://arxiv.org/abs/2001.04644v1

    • [cs.HC]Detecting depression in dyadic conversations with multimodal narratives and visualizations
    Joshua Y. Kim, Greyson Y. Kim, Kalina Yacef
    http://arxiv.org/abs/2001.04809v1

    • [cs.HC]Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving
    Na Du, Feng Zhou, Elizabeth Pulver, Dawn M. Tilbury, Lionel P. Robert, Anuj K. Pradhan, X. Jessie Yang
    http://arxiv.org/abs/2001.04509v1

    • [cs.HC]Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems
    C. Estelle Smith, Bowen Yu, Anjali Srivastava, Aaron Halfaker, Loren Terveen, Haiyi Zhu
    http://arxiv.org/abs/2001.04879v1

    • [cs.IR]Asymmetric Correlation Quantization Hashing for Cross-modal Retrieval
    Lu Wang, Jie Yang
    http://arxiv.org/abs/2001.04625v1

    • [cs.IR]Enabling the Analysis of Personality Aspects in Recommender Systems
    Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet Orgun
    http://arxiv.org/abs/2001.04825v1

    • [cs.IR]Negative Statements Considered Useful
    Hiba Arnaout, Simon Razniewski, Gerhard Weikum
    http://arxiv.org/abs/2001.04425v2

    • [cs.IR]Semi-automatic methods for adding words to the dictionary of VepKar corpus based on inflectional rules extracted from Wiktionary
    Natalia Krizhanovsky, Andrew Krizhanovsky
    http://arxiv.org/abs/2001.04719v1

    • [cs.IR]TableQnA: Answering List Intent Queries With Web Tables
    Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, Guihong Cao, Surajit Chaudhuri
    http://arxiv.org/abs/2001.04828v1

    • [cs.IT]Age-Oriented Opportunistic Relaying in Cooperative Status Update Systems with Stochastic Arrivals
    Bohai Li, He Chen, Yong Zhou, Yonghui Li
    http://arxiv.org/abs/2001.04084v1

    • [cs.IT]Age-of-Information Dependent Random Access for Massive IoT Networks
    He Chen, Yifan Gu, Soung-Chang Liew
    http://arxiv.org/abs/2001.04780v1

    • [cs.IT]An Index Coding Approach to Caching with Uncoded Cache Placement
    Kai Wan, Daniela Tuninetti, Pablo Piantanida
    http://arxiv.org/abs/2001.04810v1

    • [cs.IT]Classical Coding Problem from Transversal $T$ Gates
    Narayanan Rengaswamy, Robert Calderbank, Michael Newman, Henry D. Pfister
    http://arxiv.org/abs/2001.04887v1

    • [cs.IT]Coded Data Rebalancing: Fundamental Limits and Constructions
    Prasad Krishnan, V. Lalitha, Lakshmi Natarajan
    http://arxiv.org/abs/2001.04939v1

    • [cs.IT]Cramér-Rao Lower Bounds Arising from Generalized Csiszár Divergences
    M. Ashok Kumar, Kumar Vijay Mishra
    http://arxiv.org/abs/2001.04769v1

    • [cs.IT]Decentralized sequential active hypothesis testing and the MAC feedback capacity
    Achilleas Anastasopoulos, Sandeep Pradhan
    http://arxiv.org/abs/2001.03807v2

    • [cs.IT]Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach
    Anna Guerra, Davide Dardari, Petar M. Djuric
    http://arxiv.org/abs/2001.04560v1

    • [cs.IT]Generic Decoding in the Sum-Rank Metric
    Sven Puchinger, Julian Renner, Johan Rosenkilde
    http://arxiv.org/abs/2001.04812v1

    • [cs.IT]Group Testing with Runlength Constraints for Topological Molecular Storage
    Abhishek Agarwal, Olgica Milenkovic, Srilakshmi Pattabiraman, João Ribeiro
    http://arxiv.org/abs/2001.04577v1

    • [cs.IT]Hybrid LiFi and WiFi Networks: A Survey
    Xiping Wu, Mohammad Dehghani Soltani, Lai Zhou, Majid Safari, Harald Haas
    http://arxiv.org/abs/2001.04840v1

    • [cs.IT]Impact of Spatial Multiplexing on Throughput of Ultra-Dense mmWave AP Network
    Shuqiao Jia, Behnaam Aazhang
    http://arxiv.org/abs/2001.04117v1

    • [cs.IT]Isomorphism Problem Revisited: Information Spectrum Approach
    Shun Watanabe, Te Sun Han
    http://arxiv.org/abs/2001.04113v1

    • [cs.IT]Joint Constellation Design for the Two-User Non-Coherent Multiple-Access Channel
    Khac-Hoang Ngo, Sheng Yang, Maxime Guillaud, Alexis Decurninge
    http://arxiv.org/abs/2001.04970v1

    • [cs.IT]Low-Rank Parity-Check Codes over the Ring of Integers Modulo a Prime Power
    Julian Renner, Sven Puchinger, Antonia Wachter-Zeh, Camilla Hollanti, Ragnar Freij-Hollanti
    http://arxiv.org/abs/2001.04800v1

    • [cs.IT]Mass Error-Correction Codes for Polymer-Based Data Storage
    Ryan Gabrys, Srilakshmi Pattabiraman, Olgica Milenkovic
    http://arxiv.org/abs/2001.04967v1

    • [cs.IT]Multi-Kernel Polar Codes: Concept and Design Principles
    Valerio Bioglio, Frederic Gabry, Ingmar Land, Jean-Claude Belfiore
    http://arxiv.org/abs/2001.04670v1

    • [cs.IT]NR-U and WiGig Coexistence in 60 GHz Bands
    Natale Patriciello, Sanjay Goyaly, Sandra Lagen, Lorenza Giupponi, Biljana Bojovic, Alpaslan Demir, Mihaela Beluri
    http://arxiv.org/abs/2001.04779v1

    • [cs.IT]New Construction of Complementary Sequence (or Array) Sets and Complete Complementary Codes
    Zilong Wang, Dongxu Ma, Guang Gong, Erzhong Xue
    http://arxiv.org/abs/2001.04898v1

    • [cs.IT]On Hard-Decision Decoding of Product Codes
    Ferdinand Blomqvist
    http://arxiv.org/abs/2001.04715v1

    • [cs.IT]On the Pilot Contamination Attack in Multi-Cell Multiuser Massive MIMO Networks
    Noman Akbar, Shihao Yan, Asad Masood Khattak, Nan Yang
    http://arxiv.org/abs/2001.04554v1

    • [cs.IT]Partial MDS Codes with Local Regeneration
    Lukas Holzbaur, Sven Puchinger, Eitan Yaakobi, Antonia Wachter-Zeh
    http://arxiv.org/abs/2001.04711v1

    • [cs.IT]Physical Layer Security for NOMA Transmission in mmWave Drone Networks
    Yavuz Yapici, Nadisanka Rupasinghe, Ismail Guvenc, Huaiyu Dai, Arupjyoti Bhuyan
    http://arxiv.org/abs/2001.04863v1

    • [cs.IT]Private Computation with Individual and Joint Privacy
    Anoosheh Heidarzadeh, Alex Sprintson
    http://arxiv.org/abs/2001.04545v1

    • [cs.IT]Private Information Retrieval Over Gaussian MAC
    Ori Shmuel, Asaf Cohen, Omer Gurewitz
    http://arxiv.org/abs/2001.03753v2

    • [cs.IT]Second-Order Asymptotics of Sequential Hypothesis Testing
    Yonglong Li, Vincent Y. F. Tan
    http://arxiv.org/abs/2001.04598v1

    • [cs.IT]Self-reciprocal and self-conjugate-reciprocal irreducible factors of $x^n-λ$ and their applications
    Yansheng Wu, Qin Yue, Shuqin Fan
    http://arxiv.org/abs/2001.04766v1

    • [cs.IT]Topology-Aware Cooperative Data Protection in Blockchain-Based Decentralized Storage Networks
    Siyi Yang, Ahmed Hareedy, Robert Calderbank, Lara Dolecek
    http://arxiv.org/abs/2001.04526v1

    • [cs.IT]Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks
    Shenghao Yang, Jie Wang
    http://arxiv.org/abs/2001.04055v2

    • [cs.LG]A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and network layer
    Merima Kulin, Tarik Kazaz, Ingrid Moerman, Eli de Poorter
    http://arxiv.org/abs/2001.04561v1

    • [cs.LG]Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
    Pengchao Han, Shiqiang Wang, Kin K. Leung
    http://arxiv.org/abs/2001.04756v1

    • [cs.LG]Adversarial Disentanglement with Grouped Observations
    Jozsef Nemeth
    http://arxiv.org/abs/2001.04761v1

    • [cs.LG]Analysis of Bayesian Inference Algorithms by the Dynamical Functional Approach
    Burak Çakmak, Manfred Opper
    http://arxiv.org/abs/2001.04918v1

    • [cs.LG]Bio-Inspired Hashing for Unsupervised Similarity Search
    Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov
    http://arxiv.org/abs/2001.04907v1

    • [cs.LG]Block-wise Dynamic Sparseness
    Amir Hadifar, Johannes Deleu, Chris Develder, Thomas Demeester
    http://arxiv.org/abs/2001.04686v1

    • [cs.LG]Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders
    Takashi Nicholas Maeda, Shohei Shimizu
    http://arxiv.org/abs/2001.04197v2

    • [cs.LG]Closed-loop deep learning: generating forward models with back-propagation
    Sama Daryanavard, Bernd Porr
    http://arxiv.org/abs/2001.02970v2

    • [cs.LG]DDSP: Differentiable Digital Signal Processing
    Jesse Engel, Lamtharn Hantrakul, Chenjie Gu, Adam Roberts
    http://arxiv.org/abs/2001.04643v1

    • [cs.LG]Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)
    Peter Sorrenson, Carsten Rother, Ullrich Köthe
    http://arxiv.org/abs/2001.04872v1

    • [cs.LG]Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond
    Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
    http://arxiv.org/abs/2001.04786v1

    • [cs.LG]Domain Adaption for Knowledge Tracing
    Song Cheng, Qi Liu, Enhong Chen
    http://arxiv.org/abs/2001.04841v1

    • [cs.LG]Faster Transformer Decoding: N-gram Masked Self-Attention
    Ciprian Chelba, Mia Chen, Ankur Bapna, Noam Shazeer
    http://arxiv.org/abs/2001.04589v1

    • [cs.LG]High—Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality
    Alexander N. Gorban, Valery A. Makarov, Ivan Y. Tyukin
    http://arxiv.org/abs/2001.04959v1

    • [cs.LG]HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset
    Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts
    http://arxiv.org/abs/2001.04733v1

    • [cs.LG]Hydra: Preserving Ensemble Diversity for Model Distillation
    Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton
    http://arxiv.org/abs/2001.04694v1

    • [cs.LG]Internal repre
    5713
    sentation dynamics and geometry in recurrent neural networks
    Stefan Horoi, Guillaume Lajoie, Guy Wolf
    http://arxiv.org/abs/2001.03255v2

    • [cs.LG]Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation
    Chuteng Zhou, Prad Kadambi, Matthew Mattina, Paul N. Whatmough
    http://arxiv.org/abs/2001.04974v1

    • [cs.LG]On the Convex Behavior of Deep Neural Networks in Relation to the Layers’ Width
    Etai Littwin, Lior Wolf
    http://arxiv.org/abs/2001.04878v1

    • [cs.LG]Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction
    Jingwen Chen, Lingbo Liu, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin
    http://arxiv.org/abs/2001.04889v1

    • [cs.LG]Private Machine Learning via Randomised Response
    David Barber
    http://arxiv.org/abs/2001.04942v1

    • [cs.LG]Quantisation and Pruning for Neural Network Compression and Regularisation
    Kimessha Paupamah, Steven James, Richard Klein
    http://arxiv.org/abs/2001.04850v1

    • [cs.LG]Robust Gaussian Process Regression with a Bias Model
    Chiwoo Park, David J. Borth, Nicholas S. Wilson, Chad N. Hunter, Fritz J. Friedersdorf
    http://arxiv.org/abs/2001.04639v1

    • [cs.LG]SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders
    Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho
    http://arxiv.org/abs/2001.04893v1

    • [cs.LG]Smooth markets: A basic mechanism for organizing gradient-based learners
    David Balduzzi, Wojiech M Czarnecki, Thomas W Anthony, Ian M Gemp, Edward Hughes, Joel Z Leibo, Georgios Piliouras, Thore Graepel
    http://arxiv.org/abs/2001.04678v1

    • [cs.LG]Towards detection and classification of microscopic foraminifera using transfer learning
    Thomas Haugland Johansen, Steffen Aagaard Sørensen
    http://arxiv.org/abs/2001.04782v1

    • [cs.LG]Understanding and mitigating gradient pathologies in physics-informed neural networks
    Sifan Wang, Yujun Teng, Paris Perdikaris
    http://arxiv.org/abs/2001.04536v1

    • [cs.LO]A (Simplified) Supreme Being Necessarily Exists — Says the Computer!
    Christoph Benzmüller
    http://arxiv.org/abs/2001.04701v1

    • [cs.MM]Distortion Agnostic Deep Watermarking
    Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
    http://arxiv.org/abs/2001.04580v1

    • [cs.NI]Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
    Xianzhe Xu, Meixia Tao, Cong Shen
    http://arxiv.org/abs/2001.03835v2

    • [cs.PF]Optimal Scheduling for Maximizing Information Freshness & System Performance in Industrial Cyber-Physical Systems
    Devarpita Sinha, Rajarshi Roy
    http://arxiv.org/abs/2001.04218v2

    • [cs.RO]Companion Unmanned Aerial Vehicles: A Survey
    Chun Fui Liew, Takehisa Yairi
    http://arxiv.org/abs/2001.04637v1

    • [cs.RO]FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments
    Jesus Tordesillas, Brett T. Lopez, Michael Everett, Jonathan P. How
    http://arxiv.org/abs/2001.04420v1

    • [cs.RO]Multi-Robot Formation Control Using Reinforcement Learning
    Abhay Rawat, Kamalakar Karlapalem
    http://arxiv.org/abs/2001.04527v1

    • [cs.RO]SMT-based Robot Transition Repair
    Jarrett Holtz, Arjun Guha, Joydeep Biswas
    http://arxiv.org/abs/2001.04397v1

    • [cs.RO]Simulate forest trees by integrating L-system and 3D CAD files
    M. Hassan Tanveer, Antony Thomas, Xiaowei Wu, Hongxiao Zhu
    http://arxiv.org/abs/2001.04530v1

    • [cs.RO]Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk
    Astghik Hakobyan, Insoon Yang
    http://arxiv.org/abs/2001.04727v1

    • [cs.SI]A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts
    Hamidreza Alvari, Ghazaleh Beigi, Soumajyoti Sarkar, Scott W. Ruston, Steven R. Corman, Hasan Davulcu, Paulo Shakarian
    http://arxiv.org/abs/2001.04624v1

    • [cs.SI]Change Detection in Dynamic Attributed Networks
    Isuru Udayangani Hewapathirana
    http://arxiv.org/abs/2001.04734v1

    • [cs.SI]EGGS: A Flexible Approach to Relational Modeling of Social Network Spam
    Jonathan Brophy, Daniel Lowd
    http://arxiv.org/abs/2001.04909v1

    • [eess.AS]Improved Robust ASR for Social Robots in Public Spaces
    Charles Jankowski, Vishwas Mruthyunjaya, Ruixi Lin
    http://arxiv.org/abs/2001.04619v1

    • [eess.IV]Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition
    Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li
    http://arxiv.org/abs/2001.04488v1

    • [eess.IV]Edge Preserving CNN SAR Despeckling Algorithm
    Sergio Vitale, Giampaolo Ferraioli, Vito pascazio
    http://arxiv.org/abs/2001.04716v1

    • [eess.IV]Effects of annotation granularity in deep learning models for histopathological images
    Jiangbo Shi, Zeyu Gao, Haichuan Zhang, Pargorn Puttapirat, Chunbao Wang, Xiangrong Zhang, Chen Li
    http://arxiv.org/abs/2001.04663v1

    • [eess.IV]Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification
    Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui, Xueping Jing, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen
    http://arxiv.org/abs/2001.04537v1

    • [eess.SP]Deep Learning for ECG Segmentation
    Viktor Moskalenko, Nikolai Zolotykh, Grigory Osipov
    http://arxiv.org/abs/2001.04689v1

    • [eess.SP]Noncooperative Precoding for Massive MIMO HetNets: SILNR Maximization Precoding
    Deokhwan Han, Namyoon Lee
    http://arxiv.org/abs/2001.04073v1

    • [eess.SP]Processing Distribution and Architecture Tradeoff for Large Intelligent Surface Implementation
    Jesus Rodriguez Sanchez, Ove Edfors, Fredrik Rusek, Liang Liu
    http://arxiv.org/abs/2001.04937v1

    • [eess.SY]Parameterized and GPU-Parallelized Real-Time Model Predictive Control for High Degree of Freedom Robots
    Phillip Hyatt, Connor S. Williams, Marc D. Killpack
    http://arxiv.org/abs/2001.04931v1

    • [eess.SY]Recovering the Structural Observability of Composite Networks via Cartesian Product
    Mohammadreza Doostmohammadian
    http://arxiv.org/abs/2001.04699v1

    • [eess.SY]Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Büchi Automata
    Ryohei Oura, Ami Sakakibara, Toshimitsu Ushio
    http://arxiv.org/abs/2001.04669v1

    • [math.NA]s-Step Orthomin and GMRES implemented on parallel computers
    A. T. Chronopoulos, S. K. Kim
    http://arxiv.org/abs/2001.04886v1

    • [math.PR]The eigenstructure of the sample covariance matrices of high-dimensional stochastic volatility models with heavy tails
    Johannes Heiny, Thomas Mikosch
    http://arxiv.org/abs/2001.04964v1

    • [math.ST]Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity
    Chen Cheng, Yuting Wei, Yuxin Chen
    http://arxiv.org/abs/2001.04620v1

    • [math.ST]Minimax adaptive estimation in manifold inference
    Vincent Divol
    http://arxiv.org/abs/2001.04896v1

    • [physics.flu-dyn]Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling
    Pedro M. Milani, Julia Ling, John K. Eaton
    http://arxiv.org/abs/2001.04600v1

    • [physics.soc-ph]Assessing the Impact of the Physical Environment on Comfort and Job Satisfaction in Offices
    Francisco Reyne-Pugh, José Pulgar, Alex Godoy-Faúndez, Mario Alvarado-Rybak, Cristóbal Galbán-Malagón
    http://arxiv.org/abs/2001.04562v1

    • [physics.soc-ph]Pedestrian orientation dynamics from high-fidelity measurements
    Joris Willems, Alessandro Corbetta, Vlado Menkovski, Federico Toschi
    http://arxiv.org/abs/2001.04646v1

    • [physics.soc-ph]Street-level Travel-time Estimation via Aggregated Uber Data
    Kelsey Maass, Arun V Sathanur, Arif Khan, Robert Rallo
    http://arxiv.org/abs/2001.04533v1

    • [physics.soc-ph]The wisdom of the few: Predicting collective success from individual behavior
    Manuel S. Mariani, Yanina Gimenez, Jorge Brea, Martin Minnoni, René Algesheimer, Claudio J. Tessone
    http://arxiv.org/abs/2001.04777v1

    • [q-bio.MN]A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways
    Francesco Bardozzo, Pietro Lio’, Roberto Tagliaferri
    http://arxiv.org/abs/2001.04794v1

    • [q-bio.NC]Unifying and generalizing models of neural dynamics during decision-making
    David M. Zoltowski, Jonathan W. Pillow, Scott W. Linderman
    http://arxiv.org/abs/2001.04571v1

    • [q-bio.QM]Sensitivity analysis methods in the biomedical sciences
    George Qian, Adam Mahdi
    http://arxiv.org/abs/2001.03965v1

    • [quant-ph]Parametric Probabilistic Quantum Memory
    Rodrigo S. Sousa, Priscila G. M. dos Santos, Tiago M. L. Veras, Wilson R. de Oliveira, Adenilton J. da Silva
    http://arxiv.org/abs/2001.04798v1

    • [stat.AP]Asymptotic Performance Analysis of Non-Bayesian Quickest Change Detection with an Energy Harvesting Sensor
    Subhrakanti Dey
    http://arxiv.org/abs/2001.04752v1

    • [stat.AP]Human mortality at extreme age
    Léo R. Belzile, Anthony C. Davison, Holger Rootzén, Dmitrii Zholud
    http://arxiv.org/abs/2001.04507v1

    • [stat.AP]Iterative Bayesian-based Localization Mechanism for Industry Verticals
    Henrique Hilleshein, Carlos H. M. de Lima, Hirley Alves, Matti Latva-aho
    http://arxiv.org/abs/2001.04791v1

    • [stat.AP]Scoring Predictions at Extreme Quantiles
    Axel Gandy, Kaushik Jana, Almut E. D. Veraart
    http://arxiv.org/abs/2001.04763v1

    • [stat.ME]A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data
    Davide La Vecchia, Alban Moor, Olivier Scaillet
    http://arxiv.org/abs/2001.04867v1

    • [stat.ME]Graph-Fused Multivariate Regression via Total Variation Regularization
    Ying Liu, Bowei Yan, Kathleen Merikangas, Haochang Shou
    http://arxiv.org/abs/2001.04968v1

    • [stat.ME]Multicategory Angle-based Learning for Estimating Optimal Dynamic Treatment Regime
    38ed
    s with Censored Data
    Fei Xue, Yanqing Zhang, Wenzhuo Zhou, Haoda Fu, Annie Qu
    http://arxiv.org/abs/2001.04629v1

    • [stat.ME]Nonparametric Trend Estimation in Functional Time Series with Application to Annual Mortality Rates
    Israel Martínez-Hernández, Marc G. Genton
    http://arxiv.org/abs/2001.04660v1

    • [stat.ME]Nonparametric regression for multiple heterogeneous networks
    Swati Chandna, Pierre-Andre Maugis
    http://arxiv.org/abs/2001.04938v1

    • [stat.ML]A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification
    Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
    http://arxiv.org/abs/2001.04567v1

    • [stat.ML]Bayesian Quantile and Expectile Optimisation
    Léonard Torossian, Victor Picheny, Nicolas Durrande
    http://arxiv.org/abs/2001.04833v1

    • [stat.ML]Conditional Variational Inference with Adaptive Truncation for Bayesian Nonparametric Models
    Jones Yirui Liu, Xinghao Qiao
    http://arxiv.org/abs/2001.04508v1

    • [stat.ML]Efficient Debiased Variational Bayes by Multilevel Monte Carlo Methods
    Kei Ishikawa, Takashi Goda
    http://arxiv.org/abs/2001.04676v1

    • [stat.ML]For2For: Learning to forecast from forecasts
    Shi Zhao, Ying Feng
    http://arxiv.org/abs/2001.04601v1

    • [stat.ML]Learning Overlapping Representations for the Estimation of Individualized Treatment Effects
    Yao Zhang, Alexis Bellot, Mihaela van der Schaar
    http://arxiv.org/abs/2001.04754v1

    • [stat.ML]Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings
    C. Shi, S. Zhang, W. Lu, R. Song
    http://arxiv.org/abs/2001.04515v1