cond-mat.mtrl-sci - 材料科学

    cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 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.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-fin.CP -计算金融学 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

    • [cond-mat.mtrl-sci]A physics-informed feature engineering approach to use machine learning with limited amounts of data for alloy design: shape memory alloy demonstration
    • [cs.AI]Model Assertions for Monitoring and Improving ML Models
    • [cs.AI]On Emergent Communication in Competitive Multi-Agent Teams
    • [cs.CE]Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for Efficient Surface Wave Inversion Using MPI and GPUs
    • [cs.CL]Data Augmentation using Pre-trained Transformer Models
    • [cs.CL]Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation
    • [cs.CL]HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics
    • [cs.CL]Improving Uyghur ASR systems with decoders using morpheme-based language models
    • [cs.CL]Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network
    • [cs.CL]Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks
    • [cs.CL]SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
    • [cs.CL]Sequential Neural Networks for Noetic End-to-End Response Selection
    • [cs.CL]Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification
    • [cs.CL]XGPT: Cross-modal Generative Pre-Training for Image Captioning
    • [cs.CL]jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
    • [cs.CR]$\text{A}^3$: Activation Anomaly Analysis
    • [cs.CR]Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack
    • [cs.CR]Threats to Federated Learning: A Survey
    • [cs.CV]A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors
    • [cs.CV]A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet
    • [cs.CV]Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling
    • [cs.CV]Automatic Signboard Detection from Natural Scene Image in Context of Bangladesh Google Street View
    • [cs.CV]Blind Image Restoration without Prior Knowledge
    • [cs.CV]Double Backpropagation for Training Autoencoders against Adversarial Attack
    • [cs.CV]GarmentGAN: Photo-realistic Adversarial Fashion Transfer
    • [cs.CV]Gastric histopathology image segmentation using a hierarchical conditional random field
    • [cs.CV]Gated Fusion Network for Degraded Image Super Resolution
    • [cs.CV]HintPose
    • [cs.CV]Image-based OoD-Detector Principles on Gra
    6d75
    ph-based Input Data in Human Action Recognition
    • [cs.CV]Implicitly Defined Layers in Neural Networks
    • [cs.CV]Learning to Transfer Texture from Clothing Images to 3D Humans
    • [cs.CV]Mixup Regularization for Region Proposal based Object Detectors
    • [cs.CV]MoVi: A Large Multipurpose Motion and Video Dataset
    • [cs.CV]Occlusion Aware Unsupervised Learning of Optical Flow From Video
    • [cs.CV]RODNet: Object Detection under Severe Conditions Using Vision-Radio Cross-Modal Supervision
    • [cs.CV]Region adaptive graph fourier transform for 3d point clouds
    • [cs.CV]Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
    • [cs.CV]Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
    • [cs.CV]Reveal of Domain Effect: How Visual Restoration Contributes to Object Detection in Aquatic Scenes
    • [cs.CV]Robust Perceptual Night Vision in Thermal Colorization
    • [cs.CV]Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy
    • [cs.CV]TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition
    • [cs.CV]Type I Attack for Generative Models
    • [cs.CV]Unity Style Transfer for Person Re-Identification
    • [cs.CV]VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge
    • [cs.CV]Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos
    • [cs.CV]Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
    • [cs.CY]From plague to coronavirus: On the value of ship traffic data for epidemic modeling
    • [cs.DC]A GPU-Accelerated Barycentric Lagrange Treecode
    • [cs.DC]Distributed Pattern Formation With Faulty Robots
    • [cs.DS]Array relocation approach for radial scanning algorithms on multi-GPU systems: total viewshed problem as a case study
    • [cs.DS]Connected Components on a PRAM in Log Diameter Time
    • [cs.DS]Distributed Testing of Graph Isomorphism in the CONGEST model
    • [cs.HC]A Snooze-less User-Aware Notification System for Proactive Conversational Agents
    • [cs.HC]AI-Mediated Exchange Theory
    • [cs.IR]Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
    • [cs.IR]Learning to Hash with Graph Neural Networks for Recommender Systems
    • [cs.IT]Coded Caching with Uneven Channels: A Quality of Experience Approach
    • [cs.IT]Coding for Polymer-Based Data Storage
    • [cs.IT]Deep Joint Transmission-Recognition for Power-Constrained IoT Devices
    • [cs.IT]Degenerate flag varieties in network coding
    • [cs.IT]Enabling URLLC for Low-Cost IoT Devices via Diversity Combining Schemes
    • [cs.IT]Enhancing simultaneous rational function recovery: adaptive error correction capability and new bounds for applications
    • [cs.IT]Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements
    • [cs.IT]MIMO-NOMA Networks Relying on Reconfigurable Intelligent Surface: A Signal Cancellation Based Design
    • [cs.LG]Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters
    • [cs.LG]Black-box Smoothing: A Provable Defense for Pretrained Classifiers
    • [cs.LG]Bounded Regret for Finitely Parameterized Multi-Armed Bandits
    • [cs.LG]CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution
    • [cs.LG]Colored Noise Injection for Training Adversarially Robust Neural Networks
    • [cs.LG]Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection
    • [cs.LG]Contrastive estimation reveals topic posterior information to linear models
    • [cs.LG]DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
    • [cs.LG]Deterministic Decoding for Discrete Data in Variational Autoencoders
    • [cs.LG]Exploration-Exploitation in Constrained MDPs
    • [cs.LG]FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors
    • [cs.LG]Gaussianization Flows
    • [cs.LG]Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables
    • [cs.LG]Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
    • [cs.LG]Graphon Pooling in Graph Neural Networks
    • [cs.LG]Ising-based Consensus Clustering on Specialized Hardware
    • [cs.LG]MOTS: Minimax Optimal Thompson Sampling
    • [cs.LG]Maximal Causes for Exponential Family Observables
    • [cs.LG]Metrics and methods for robustness evaluation of neural networks with generative models
    • [cs.LG]Neural Enhanced Belief Propagation on Factor Graphs
    • [cs.LG]Neural Kernels Without Tangents
    • [cs.LG]Odds-Ratio Thompson Sampling to Control for Time-Varying Effect
    • [cs.LG]On Hyper-parameter Tuning for Stochastic Optimization Algorithms
    • [cs.LG]Optimal Regularization Can Mitigate Double Descent
    • [cs.LG]Privacy-preserving Learning via Deep Net Pruning
    • [cs.LG]PushNet: Efficient and Adaptive Neural Message Passing
    • [cs.LG]Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited
    • [cs.LG]Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network
    • [cs.LG]StochasticRank: Global Optimization of Scale-Free Discrete Functions
    • [cs.LG]Taking a hint: How to leverage loss predictors in contextual bandits?
    • [cs.LG]Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
    • [cs.LG]Untangling in Invariant Speech Recognition
    • [cs.LG]Variational Auto-Encoder: not all failures are equal
    • [cs.LG]q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
    • [cs.NE]Scaling MAP-Elites to Deep Neuroevolution
    • [cs.NI]IsoRAN: Isolation and Scaling for 5G RANvia User-Level Data Plane Virtualization
    • [cs.RO]A Distributed Pipeline for Scalable, Deconflicted Formation Flying
    • [cs.RO]Annotated-skeleton Biased Motion Planning for Faster Relevant Region Discovery
    • [cs.RO]Contact Surface Estimation via Haptic Perception
    • [cs.RO]Directional Compliance in Obstacle-Aided Navigation for Snake Robots
    • [cs.RO]ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robot
    47b5
    s to Recognize Daily Activities of the Elderly
    • [cs.RO]Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles
    • [cs.RO]Interactive Robot Training for Non-Markov Tasks
    • [cs.RO]Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
    • [cs.RO]Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments
    • [cs.RO]Multi-Sparse Gaussian Process: Learning based Semi-Parametric Control
    • [cs.RO]Optimal Deep Learning for Robot Touch
    • [cs.RO]Redesigning SLAM for Arbitrary Multi-Camera Systems
    • [cs.RO]Relative Visual Localization for Unmanned Aerial Systems
    • [cs.RO]Semantic sensor fusion: from camera to sparse lidar information
    • [cs.RO]The iCub multisensor datasets for robot and computer vision applications
    • [cs.RO]Towards Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects
    • [cs.RO]Voxel Map for Visual SLAM
    • [cs.SI]Discover Your Social Identity from What You Tweet: a Content Based Approach
    • [cs.SI]Generate Descriptive Social Networks for Large Populations from Available Observations: A Novel Methodology and a Generator
    • [cs.SI]Hypergraph Motifs: Concepts, Algorithms, and Discoveries
    • [cs.SI]Player Chemistry: Striving for a Perfectly Balanced Soccer Team
    • [econ.EM]Estimating the Effect of Central Bank Independence on Inflation Using Longitudinal Targeted Maximum Likelihood Estimation
    • [eess.AS]A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder
    • [eess.AS]AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment
    • [eess.AS]GraphTTS: graph-to-sequence modelling in neural text-to-speech
    • [eess.AS]Phonetic Feedback for Speech Enhancement With and Without Parallel Speech Data
    • [eess.AS]Towards Real-time Mispronunciation Detection in Kids’ Speech
    • [eess.IV]A Learning Strategy for Contrast-agnostic MRI Segmentation
    • [eess.IV]ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising
    • [eess.IV]G-VAE: A Continuously Variable Rate Deep Image Compression Framework
    • [eess.IV]Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
    • [eess.IV]When deep denoising meets iterative phase retrieval
    • [eess.IV]\textit{Semixup}: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
    • [eess.SP]Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels
    • [eess.SP]LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments
    • [eess.SP]Reliable Detection of Unknown Cell-Edge Users Via Canonical Correlation Analysis
    • [eess.SP]Trade-offs In Quasi-Decentralized Massive MIMO
    • [eess.SY]Shared lateral control with on-line adaptation of the automation degree for driver steering assist system: A weighting design approach
    • [math.CO]A homological characterization of generalized multinomial coefficients related to the entropic chain rule
    • [math.OC]Active Preference Elicitation via Adjustable Robust Optimization
    • [math.OC]Safe, Optimal, Real-time Trajectory Planning with a Parallel Constrained Bernstein Algorithm
    • [math.ST]Gauss and the identity function — a tale of characterizations of the normal distribution
    • [math.ST]Global Sensitivity Analysis: a new generation of mighty estimators based on rank statistics
    • [math.ST]Multiclass classification by sparse multinomial logistic regression
    • [physics.comp-ph]Forecasting Sequential Data using Consistent Koopman Autoencoders
    • [physics.comp-ph]Turbulence Enrichment using Generative Adversarial Networks
    • [physics.soc-ph]Introducing the Spatial Conflict Dynamics indicator of political violence
    • [q-fin.CP]PDGM: a Neural Network Approach to Solve Path-Dependent Partial Differential Equations
    • [quant-ph]Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation
    • [stat.AP]Designing a Bonus-Malus system reflecting the claim size under the dependent frequency-severity model
    • [stat.AP]Observational daily and regional photovoltaic solar energy production for the Netherlands
    • [stat.AP]Visualizing Large-Scale Assessments in Mathematics through Dimensionality Reduction
    • [stat.ME]A Quadratic Programming Solution to the FICO Credit Scoring Problem
    • [stat.ME]A fast Monte Carlo test for preferential sampling
    • [stat.ME]Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation
    • [stat.ME]Alleviating confounding in spatio-temporal areal models: different proposals, different results
    • [stat.ME]Large-Scale Shrinkage Estimation under Markovian Dependence
    • [stat.ME]On spatial and spatio-temporal multi-structure point process models
    • [stat.ME]Optimally estimating the sample mean and standard deviation from the five-number summary
    • [stat.ME]Prediction of Time to a Terminal Event (TTTE) of New Units in a Dynamic Recurrent Competing Risks Model
    • [stat.ME]Probabilistic performance estimators for computational chemistry methods: Systematic Improvement Probability and Ranking Probability Matrix. I. Theory
    • [stat.ME]Risk Projection for Time-to-event Outcome Leveraging Summary Statistics With Source Individual-level Data
    • [stat.ME]Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
    • [stat.ME]Simultaneous test for Means: An Unblind Way to the F-test in One-way Analysis of Variance
    • [stat.ME]Universal sieve-based strategies for efficient estimation using machine learning tools
    • [stat.ML]Adaptive exponential power distribution with moving estimator for nonstationary time series
    • [stat.ML]Corruption-Tolerant Gaussian Process Bandit Optimization
    • [stat.ML]Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions
    • [stat.ML]Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error
    • [stat.ML]Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems
    • [stat.ML]The large learning rate phase of deep learning: the catapult mechanism
    • [stat.ML]Transformation Importance with Applications to Cosmology
    • [stat.ML]Unbiased variable importance for random forests

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

    • [cond-mat.mtrl-sci]A physics-informed feature engineering approach to use machine learning with limited amounts of data for alloy design: shape memory alloy demonstration
    Sen Liu, Branden B. Kappes, Behnam Amin-ahmadi, Othmane Benafan, Aaron P. Stebner, Xiaoli Zhang
    http://arxiv.org/abs/2003.01878v1

    • [cs.AI]Model Assertions for Monitoring and Improving ML Models
    Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia
    http://arxiv.org/abs/2003.01668v2

    • [cs.AI]On Emergent Communication in Competitive Multi-Agent Teams
    Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov, Louis-Philippe Morency, Satwik Kottur
    http://arxiv.org/abs/2003.01848v1

    • [cs.CE]Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for Efficient Surface Wave Inversion Using MPI and GPUs
    Joseph Kump, Eileen R. Martin
    http://arxiv.org/abs/2003.02256v1

    • [cs.CL]Data Augmentation using Pre-trained Transformer Models
    Varun Kumar, Ashutosh Choudhary, Eunah Cho
    http://arxiv.org/abs/2003.02245v1

    • [cs.CL]Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation
    Hongzheng Li, Heyan Huang
    http://arxiv.org/abs/2003.02197v1

    • [cs.CL]HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics
    Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki
    http://arxiv.org/abs/2003.01821v1

    • [cs.CL]Improving Uyghur ASR systems with decoders using morpheme-based language models
    Zicheng Qiu, Wei Jiang, Turghunjan Mamut
    http://arxiv.org/abs/2003.01509v2

    • [cs.CL]Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network
    Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin
    http://arxiv.org/abs/2003.02020v1

    • [cs.CL]Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks
    Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin
    http://arxiv.org/abs/2003.01912v1

    • [cs.CL]SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
    Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi, Yuichiro Yoshikawa, Hiroshi Ishiguro
    http://arxiv.org/abs/2003.01857v1

    • [cs.CL]Sequential Neural Networks for Noetic End-to-End Response Selection
    Qian Chen, Wen Wang
    http://arxiv.org/abs/2003.02126v1

    • [cs.CL]Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification
    Hsin-Ping Huang, Junyi Jessy Li
    http://arxiv.org/abs/2003.02244v1

    • [cs.CL]XGPT: Cross-modal Generative Pre-Training for Image Captioning
    Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou
    http://arxiv.org/abs/2003.01473v2

    • [cs.CL]jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
    Yada Pruksachatkun, Phil Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman
    http://arxiv.org/abs/2003.02249v1

    • [cs.CR]$\text{A}^3$: Activation Anomaly Analysis
    Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
    http://arxiv.org/abs/2003.01801v1

    • [cs.CR]Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack
    Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
    http://arxiv.org/abs/2003.01782v1

    • [cs.CR]Threats to Federated Learning: A Survey
    Lingjuan Lyu, Han Yu, Qiang Yang
    http://arxiv.org/abs/2003.02133v1

    • [cs.CV]A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors
    Fanyi Xiao, Ling Pei, Lei Chu, Danping Zou, Wenxian Yu, Yifan Zhu, Tao Li
    http://arxiv.org/abs/2003.01874v1

    • [cs.CV]A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet
    Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng, Xin Jian
    http://arxiv.org/abs/2003.01768v1

    • [cs.CV]Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling
    Fabian Wolf, Gernot A. Fink
    http://arxiv.org/abs/2003.01989v1

    • [cs.CV]Automatic Signboard Detection from Natural Scene Image in Context of Bangladesh Google Street View
    Md. Sadrul Islam Toaha, Chowdhury Rafeed Rahman, Sakib Bin Asad, Tashin Ahmed, Mahfuz Ara Proma, S. M. Shahriar Haque
    http://arxiv.org/abs/2003.01936v1

    • [cs.CV]Blind Image Restoration without Prior Knowledge
    Noam Elron, Shahar S. Yuval, Dmitry Rudoy, Noam Levy
    http://arxiv.org/abs/2003.01764v1

    • [cs.CV]Double Backpropagation for Training Autoencoders against Adversarial Attack
    Chengjin Sun, Sizhe Chen, Xiaolin Huang
    http://arxiv.org/abs/2003.01895v1

    • [cs.CV]GarmentGAN: Photo-realistic Adversarial Fashion Transfer
    Amir Hossein Raffiee, Michael Sollami
    http://arxiv.org/abs/2003.01894v1

    • [cs.CV]Gastric histopathology image segmentation using a hierarchical conditional random field
    Changhao Sun, Chen Li, Xiaoyan Li
    http://arxiv.org/abs/2003.01302v2

    • [cs.CV]Gated Fusion Network for Degraded Image Super Resolution
    Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang
    http://arxiv.org/abs/2003.00893v2

    • [cs.CV]HintPose
    Sanghoon Hong, Hunchul Park, Jonghyuk Park, Sukhyun Cho, Heewoong Park
    http://arxiv.org/abs/2003.02170v1

    • [cs.CV]Image-based OoD-Detector Principles on Gra
    6d75
    ph-based Input Data in Human Action Recognition
    Jens Bayer, David Münch, Michael Arens
    http://arxiv.org/abs/2003.01719v1

    • [cs.CV]Implicitly Defined Layers in Neural Networks
    Qianggong Zhang, Yanyang Gu, Michalkiewicz Mateusz, Mahsa Baktashmotlagh, Anders Eriksson
    http://arxiv.org/abs/2003.01822v1

    • [cs.CV]Learning to Transfer Texture from Clothing Images to 3D Humans
    Aymen Mir, Thiemo Alldieck, Gerard Pons-Moll
    http://arxiv.org/abs/2003.02050v1

    • [cs.CV]Mixup Regularization for Region Proposal based Object Detectors
    Shahine Bouabid, Vincent Delaitre
    http://arxiv.org/abs/2003.02065v1

    • [cs.CV]MoVi: A Large Multipurpose Motion and Video Dataset
    Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad Kording, Douglas James Cook, Gunnar Blohm, Nikolaus F. Troje
    http://arxiv.org/abs/2003.01888v1

    • [cs.CV]Occlusion Aware Unsupervised Learning of Optical Flow From Video
    Jianfeng Li, Junqiao Zhao, Tiantian Feng, Chen Ye, Lu Xiong
    http://arxiv.org/abs/2003.01960v1

    • [cs.CV]RODNet: Object Detection under Severe Conditions Using Vision-Radio Cross-Modal Supervision
    Yizhou Wang, Zhongyu Jiang, Xiangyu Gao, Jenq-Neng Hwang, Guanbin Xing, Hui Liu
    http://arxiv.org/abs/2003.01816v1

    • [cs.CV]Region adaptive graph fourier transform for 3d point clouds
    Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
    http://arxiv.org/abs/2003.01866v1

    • [cs.CV]Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
    Xiaoyang Guo, Anuj Srivastava
    http://arxiv.org/abs/2003.00287v1

    • [cs.CV]Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
    Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
    http://arxiv.org/abs/2003.01455v2

    • [cs.CV]Reveal of Domain Effect: How Visual Restoration Contributes to Object Detection in Aquatic Scenes
    Xingyu Chen, Yue Lu, Zhengxing Wu, Junzhi Yu, Li Wen
    http://arxiv.org/abs/2003.01913v1

    • [cs.CV]Robust Perceptual Night Vision in Thermal Colorization
    Feras Almasri, Olivier Debeir
    http://arxiv.org/abs/2003.02204v1

    • [cs.CV]Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy
    Javad Fotouhi, Arian Mehrfard, Tianyu Song, Alex Johnson, Greg Osgood, Mathias Unberath, Mehran Armand, Nassir Navab
    http://arxiv.org/abs/2003.02260v1

    • [cs.CV]TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition
    James Ren Hou Lee, Alexander Wong
    http://arxiv.org/abs/2003.01791v1

    • [cs.CV]Type I Attack for Generative Models
    Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang
    http://arxiv.org/abs/2003.01872v1

    • [cs.CV]Unity Style Transfer for Person Re-Identification
    Chong Liu, Xiaojun Chang, Yi-Dong Shen
    http://arxiv.org/abs/2003.02068v1

    • [cs.CV]VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge
    Jiale Chen, Xu Tan, Chaowei Shan, Sen Liu, Zhibo Chen
    http://arxiv.org/abs/2003.02115v1

    • [cs.CV]Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos
    Wansong Liu, Danyang Luo, Changxu Wu, Minghui Zheng
    http://arxiv.org/abs/2003.02059v1

    • [cs.CV]Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
    Ricard Durall, Margret Keuper, Janis Keuper
    http://arxiv.org/abs/2003.01826v1

    • [cs.CY]From plague to coronavirus: On the value of ship traffic data for epidemic modeling
    Katherine Hoffmann Pham, Miguel Luengo-Oroz
    http://arxiv.org/abs/2003.02253v1

    • [cs.DC]A GPU-Accelerated Barycentric Lagrange Treecode
    Nathan Vaughn, Leighton Wilson, Robert Krasny
    http://arxiv.org/abs/2003.01836v1

    • [cs.DC]Distributed Pattern Formation With Faulty Robots
    Debasish Pattanayak, Klaus-Tycho Foerster, Partha Sarathi Mandal, Stefan Schmid
    http://arxiv.org/abs/2003.01914v1

    • [cs.DS]Array relocation approach for radial scanning algorithms on multi-GPU systems: total viewshed problem as a case study
    A. J. Sanchez, L. F. Romero, G. Bandera, S. Tabik
    http://arxiv.org/abs/2003.02200v1

    • [cs.DS]Connected Components on a PRAM in Log Diameter Time
    S. Cliff Liu, Robert E. Tarjan, Peilin Zhong
    http://arxiv.org/abs/2003.00614v1

    • [cs.DS]Distributed Testing of Graph Isomorphism in the CONGEST model
    Reut Levi, Moti Medina
    http://arxiv.org/abs/2003.00468v1

    • [cs.HC]A Snooze-less User-Aware Notification System for Proactive Conversational Agents
    Yara Rizk, Vatche Isahagian, Merve Unuvar, Yasaman Khazaeni
    http://arxiv.org/abs/2003.02097v1

    • [cs.HC]AI-Mediated Exchange Theory
    Xiao Ma, Taylor W. Brown
    http://arxiv.org/abs/2003.02093v1

    • [cs.IR]Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
    Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
    http://arxiv.org/abs/2003.01892v1

    • [cs.IR]Learning to Hash with Graph Neural Networks for Recommender Systems
    Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
    http://arxiv.org/abs/2003.01917v1

    • [cs.IT]Coded Caching with Uneven Channels: A Quality of Experience Approach
    MohammadJavad Salehi, Antti Tölli, Seyed Pooya Shariatpanahi
    http://arxiv.org/abs/2003.01928v1

    • [cs.IT]Coding for Polymer-Based Data Storage
    Srilakshmi Pattabiraman, Ryan Gabrys, Olgica Milenkovic
    http://arxiv.org/abs/2003.02121v1

    • [cs.IT]Deep Joint Transmission-Recognition for Power-Constrained IoT Devices
    Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
    http://arxiv.org/abs/2003.02027v1

    • [cs.IT]Degenerate flag varieties in network coding
    Ghislain Fourier, Gabriele Nebe
    http://arxiv.org/abs/2003.02002v1

    • [cs.IT]Enabling URLLC for Low-Cost IoT Devices via Diversity Combining Schemes
    Onel L. Alcaraz López, Nurul Huda Mahmood, Hirley Alves
    http://arxiv.org/abs/2003.02017v1

    • [cs.IT]Enhancing simultaneous rational function recovery: adaptive error correction capability and new bounds for applications
    Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore
    http://arxiv.org/abs/2003.01793v1

    • [cs.IT]Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements
    Nalin Jayaweera, Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho
    http://arxiv.org/abs/2003.01979v1

    • [cs.IT]MIMO-NOMA Networks Relying on Reconfigurable Intelligent Surface: A Signal Cancellation Based Design
    Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen
    http://arxiv.org/abs/2003.02117v1

    • [cs.LG]Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters
    Bozhou Chen, Kaixin Zhang, Longshen Ou, Chenmin Ba, Hongzhi Wang, Chunnan Wang
    http://arxiv.org/abs/2003.01751v1

    • [cs.LG]Black-box Smoothing: A Provable Defense for Pretrained Classifiers
    Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
    http://arxiv.org/abs/2003.01908v1

    • [cs.LG]Bounded Regret for Finitely Parameterized Multi-Armed Bandits
    Kishan Panaganti, Dileep Kalathil
    http://arxiv.org/abs/2003.01328v2

    • [cs.LG]CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution
    Ziling Wu, Ping Liu, Zheng Hu, Jun Wang
    http://arxiv.org/abs/2003.01412v2

    • [cs.LG]Colored Noise Injection for Training Adversarially Robust Neural Networks
    Evgenii Zheltonozhskii, Chaim Baskin, Yaniv Nemcovsky, Brian Chmiel, Avi Mendelson, Alex M. Bronstein
    http://arxiv.org/abs/2003.02188v1

    • [cs.LG]Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection
    Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh
    http://arxiv.org/abs/2003.01665v2

    • [cs.LG]Contrastive estimation reveals topic posterior information to linear models
    Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
    http://arxiv.org/abs/2003.02234v1

    • [cs.LG]DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
    Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon
    http://arxiv.org/abs/2003.01927v1

    • [cs.LG]Deterministic Decoding for Discrete Data in Variational Autoencoders
    Daniil Polykovskiy, Dmitry Vetrov
    http://arxiv.org/abs/2003.02174v1

    • [cs.LG]Exploration-Exploitation in Constrained MDPs
    Yonathan Efroni, Shie Mannor, Matteo Pirotta
    http://arxiv.org/abs/2003.02189v1

    • [cs.LG]FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors
    Jie Liu, Jiawen Liu, Zhen Xie, Dong Li
    http://arxiv.org/abs/2003.01762v1

    • [cs.LG]Gaussianization Flows
    Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon
    http://arxiv.org/abs/2003.01941v1

    • [cs.LG]Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables
    Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon
    http://arxiv.org/abs/2003.01847v1

    • [cs.LG]Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
    Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu
    http://arxiv.org/abs/2003.01794v1

    • [cs.LG]Graphon Pooling in Graph Neural Networks
    Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
    http://arxiv.org/abs/2003.01795v1

    • [cs.LG]Ising-based Consensus Clustering on Specialized Hardware
    Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy
    http://arxiv.org/abs/2003.01887v1

    • [cs.LG]MOTS: Minimax Optimal Thompson Sampling
    Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
    http://arxiv.org/abs/2003.01803v1

    • [cs.LG]Maximal Causes for Exponential Family Observables
    S. Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke
    http://arxiv.org/abs/2003.02214v1

    • [cs.LG]Metrics and methods for robustness evaluation of neural networks with generative models
    Igor Buzhinsky, Arseny Nerinovsky, Stavros Tripakis
    http://arxiv.org/abs/2003.01993v1

    • [cs.LG]Neural Enhanced Belief Propagation on Factor Graphs
    Victor Garcia Satorras, Max Welling
    http://arxiv.org/abs/2003.01998v1

    • [cs.LG]Neural Kernels Without Tangents
    Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht
    http://arxiv.org/abs/2003.02237v1

    • [cs.LG]Odds-Ratio Thompson Sampling to Control for Time-Varying Effect
    Sulgi Kim, Kyungmin Kim
    http://arxiv.org/abs/2003.01905v1

    • [cs.LG]On Hyper-parameter Tuning for Stochastic Optimization Algorithms
    Haotian Zhang, Jianyong Sun, Zongben Xu
    http://arxiv.org/abs/2003.02038v1

    • [cs.LG]Optimal Regularization Can Mitigate Double Descent
    Preetum Nakkiran, Prayaag Venkat, Sham Kakade, Tengyu Ma
    http://arxiv.org/abs/2003.01897v1

    • [cs.LG]Privacy-preserving Learning via Deep Net Pruning
    Yangsibo Huang, Yushan Su, Sachin Ravi, Zhao Song, Sanjeev Arora, Kai Li
    http://arxiv.org/abs/2003.01876v1

    • [cs.LG]PushNet: Efficient and Adaptive Neural Message Passing
    Julian Busch, Jiaxing Pi, Thomas Seidl
    http://arxiv.org/abs/2003.02228v1

    • [cs.LG]Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited
    Wesley J. Maddox, Gregory Benton, Andrew Gordon Wilson
    http://arxiv.org/abs/2003.02139v1

    • [cs.LG]Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network
    Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal
    http://arxiv.org/abs/2003.02037v1

    • [cs.LG]StochasticRank: Global Optimization of Scale-Free Discrete Functions
    Aleksei Ustimenko, Liudmila Prokhorenkova
    http://arxiv.org/abs/2003.02122v1

    • [cs.LG]Taking a hint: How to leverage loss predictors in contextual bandits?
    Chen-Yu Wei, Haipeng Luo, Alekh Agarwal
    http://arxiv.org/abs/2003.01922v1

    • [cs.LG]Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
    Zepeng Huo, Arash PakBin, Xiaohan Chen, Nathan Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
    http://arxiv.org/abs/2003.01753v1

    • [cs.LG]Untangling in Invariant Speech Recognition
    Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung
    http://arxiv.org/abs/2003.01787v1

    • [cs.LG]Variational Auto-Encoder: not all failures are equal
    Michele Sebag, Victor Berger, Michèle Sebag
    http://arxiv.org/abs/2003.01972v1

    • [cs.LG]q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
    Taisuke Kobayashi
    http://arxiv.org/abs/2003.01852v1

    • [cs.NE]Scaling MAP-Elites to Deep Neuroevolution
    Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune
    http://arxiv.org/abs/2003.01825v1

    • [cs.NI]IsoRAN: Isolation and Scaling for 5G RANvia User-Level Data Plane Virtualization
    Nishant Budhdev, Mun Choon Chan, Tulika Mitra
    http://arxiv.org/abs/2003.01841v1

    • [cs.RO]A Distributed Pipeline for Scalable, Deconflicted Formation Flying
    Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania, Aleix Paris, Kaveh Fathian, Jonathan P. How
    http://arxiv.org/abs/2003.01851v1

    • [cs.RO]Annotated-skeleton Biased Motion Planning for Faster Relevant Region Discovery
    Diane Uwacu, Regina Rex, Bonnie Wang, Shawna Thomas, Nancy M. Amato
    http://arxiv.org/abs/2003.02176v1

    • [cs.RO]Contact Surface Estimation via Haptic Perception
    Hsiu-Chin Lin, Michael Mistry
    http://arxiv.org/abs/2003.02227v1

    • [cs.RO]Directional Compliance in Obstacle-Aided Navigation for Snake Robots
    Tianyu Wang, Julian Whitman, Matthew Travers, Howie Choset
    http://arxiv.org/abs/2003.01774v1

    • [cs.RO]ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robot
    47b5
    s to Recognize Daily Activities of the Elderly
    Jinhyeok Jang, Dohyung Kim, Cheonshu Park, Minsu Jang, Jaeyeon Lee, Jaehong Kim
    http://arxiv.org/abs/2003.01920v1

    • [cs.RO]Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles
    Dhanoop Karunakaran, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/2003.01886v1

    • [cs.RO]Interactive Robot Training for Non-Markov Tasks
    Ankit Shah, Julie Shah
    http://arxiv.org/abs/2003.02232v1

    • [cs.RO]Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
    Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg
    http://arxiv.org/abs/2003.01835v1

    • [cs.RO]Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments
    Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett
    http://arxiv.org/abs/2003.01875v1

    • [cs.RO]Multi-Sparse Gaussian Process: Learning based Semi-Parametric Control
    Mouhyemen Khan, Akash Patel, Abhijit Chatterjee
    http://arxiv.org/abs/2003.01802v1

    • [cs.RO]Optimal Deep Learning for Robot Touch
    Nathan F. Lepora, John Lloyd
    http://arxiv.org/abs/2003.01916v1

    • [cs.RO]Redesigning SLAM for Arbitrary Multi-Camera Systems
    Juichung Kuo, Manasi Muglikar, Zichao Zhang, Davide Scaramuzza
    http://arxiv.org/abs/2003.02014v1

    • [cs.RO]Relative Visual Localization for Unmanned Aerial Systems
    Steffen Holter, Athanasios Tsoukalas, Nikolaos Evangeliou, Nikolaos Giakoumidis, Anthony Tzes
    http://arxiv.org/abs/2003.01954v1

    • [cs.RO]Semantic sensor fusion: from camera to sparse lidar information
    Julie Stephany Berrio, Mao Shan, Stewart Worrall, James Ward, Eduardo Nebot
    http://arxiv.org/abs/2003.01871v1

    • [cs.RO]The iCub multisensor datasets for robot and computer vision applications
    Murat Kirtay, Ugo Albanese, Lorenzo Vannucci, Guido Schillaci, Cecilia Laschi, Egidio Falotico
    http://arxiv.org/abs/2003.01994v1

    • [cs.RO]Towards Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects
    Zhao Han, Jordan Allspaw, Gregory LeMasurier, Jenna Parrillo, Daniel Giger, S. Reza Ahmadzadeh, Holly A. Yanco
    http://arxiv.org/abs/2003.01776v1

    • [cs.RO]Voxel Map for Visual SLAM
    Manasi Muglikar, Zichao Zhang, Davide Scaramuzza
    http://arxiv.org/abs/2003.02247v1

    • [cs.SI]Discover Your Social Identity from What You Tweet: a Content Based Approach
    Binxuan Huang, Kathleen M. Carley
    http://arxiv.org/abs/2003.01797v1

    • [cs.SI]Generate Descriptive Social Networks for Large Populations from Available Observations: A Novel Methodology and a Generator
    Samuel Thiriot
    http://arxiv.org/abs/2003.02213v1

    • [cs.SI]Hypergraph Motifs: Concepts, Algorithms, and Discoveries
    Geon Lee, Jihoon Ko, Kijung Shin
    http://arxiv.org/abs/2003.01853v1

    • [cs.SI]Player Chemistry: Striving for a Perfectly Balanced Soccer Team
    Lotte Bransen, Jan Van Haaren
    http://arxiv.org/abs/2003.01712v1

    • [econ.EM]Estimating the Effect of Central Bank Independence on Inflation Using Longitudinal Targeted Maximum Likelihood Estimation
    Philipp Baumann, Michael Schomaker, Enzo Rossi
    http://arxiv.org/abs/2003.02208v1

    • [eess.AS]A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder
    Chen Feng, Jianzong Wang, Tongxu Li, Junqing Peng, Jing Xiao
    http://arxiv.org/abs/2003.01955v1

    • [eess.AS]AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment
    Zhen Zeng, Jianzong Wang, Ning Cheng, Tian Xia, Jing Xiao
    http://arxiv.org/abs/2003.01950v1

    • [eess.AS]GraphTTS: graph-to-sequence modelling in neural text-to-speech
    Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Jing Xiao
    http://arxiv.org/abs/2003.01924v1

    • [eess.AS]Phonetic Feedback for Speech Enhancement With and Without Parallel Speech Data
    Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier
    http://arxiv.org/abs/2003.01769v1

    • [eess.AS]Towards Real-time Mispronunciation Detection in Kids’ Speech
    Peter Plantinga, Eric Fosler-Lussier
    http://arxiv.org/abs/2003.01765v1

    • [eess.IV]A Learning Strategy for Contrast-agnostic MRI Segmentation
    Benjamin Billot, Douglas Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca
    http://arxiv.org/abs/2003.01995v1

    • [eess.IV]ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising
    Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu
    http://arxiv.org/abs/2003.01947v1

    • [eess.IV]G-VAE: A Continuously Variable Rate Deep Image Compression Framework
    Ze Cui, Jing Wang, Bo Bai, Tiansheng Guo, Yihui Feng
    http://arxiv.org/abs/2003.02012v1

    • [eess.IV]Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
    Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2003.01966v1

    • [eess.IV]When deep denoising meets iterative phase retrieval
    Yaotian Wang, Xiaohang Sun, Jason W. Fleischer
    http://arxiv.org/abs/2003.01792v1

    • [eess.IV]\textit{Semixup}: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
    Huy Hoang Nguyen, Simo Saarakkala, Matthew Blaschko, Aleksei Tiulpin
    http://arxiv.org/abs/2003.01944v1

    • [eess.SP]Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels
    Naifu Zhang, Meixia Tao
    http://arxiv.org/abs/2003.02089v1

    • [eess.SP]LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments
    Kamak Ebadi, Yun Chang, Matteo Palieri, Alex Stephens, Alex Hatteland, Eric Heiden, Abhishek Thakur, Benjamin Morrell, Sally Wood, Luca Carlone, Ali-akbar Agha-mohammadi
    http://arxiv.org/abs/2003.01744v1

    • [eess.SP]Reliable Detection of Unknown Cell-Edge Users Via Canonical Correlation Analysis
    Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
    http://arxiv.org/abs/2003.02255v1

    • [eess.SP]Trade-offs In Quasi-Decentralized Massive MIMO
    Juan Vidal Alegría, Fredrik Rusek, Jesús Rodríguez Sánchez, Ove Edfors
    http://arxiv.org/abs/2003.01961v1

    • [eess.SY]Shared lateral control with on-line adaptation of the automation degree for driver steering assist system: A weighting design approach
    Anh-Tu Nguyen, Chouki Sentouh, Jean-Christophe Popieul, Boussaad Soualmi
    http://arxiv.org/abs/2003.02160v1

    • [math.CO]A homological characterization of generalized multinomial coefficients related to the entropic chain rule
    Juan Pablo Vigneaux
    http://arxiv.org/abs/2003.02021v1

    • [math.OC]Active Preference Elicitation via Adjustable Robust Optimization
    Phebe Vayanos, Duncan McElfresh, Yingxiao Ye, John Dickerson, Eric Rice
    http://arxiv.org/abs/2003.01899v1

    • [math.OC]Safe, Optimal, Real-time Trajectory Planning with a Parallel Constrained Bernstein Algorithm
    Shreyas Kousik, Bohao Zhang, Pengcheng Zhao, Ram Vasudevan
    http://arxiv.org/abs/2003.01758v1

    • [math.ST]Gauss and the identity function — a tale of characterizations of the normal distribution
    Christophe Ley
    http://arxiv.org/abs/2003.01827v1

    • [math.ST]Global Sensitivity Analysis: a new generation of mighty estimators based on rank statistics
    Fabrice Gamboa, Pierre Gremaud, Thierry Klein, Agnès Lagnoux
    http://arxiv.org/abs/2003.01772v1

    • [math.ST]Multiclass classification by sparse multinomial logistic regression
    Felix Abramovich, Vadim Grinshtein, Tomer Levy
    http://arxiv.org/abs/2003.01951v1

    • [physics.comp-ph]Forecasting Sequential Data using Consistent Koopman Autoencoders
    Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael W. Mahoney
    http://arxiv.org/abs/2003.02236v1

    • [physics.comp-ph]Turbulence Enrichment using Generative Adversarial Networks
    Akshay Subramaniam, Man Long Wong, Raunak D Borker, Sravya Nimmagadda, Sanjiva K Lele
    http://arxiv.org/abs/2003.01907v1

    • [physics.soc-ph]Introducing the Spatial Conflict Dynamics indicator of political violence
    Olivier J. Walther, Steven M. Radil, David Russell, Marie Trémolières
    http://arxiv.org/abs/2003.01750v1

    • [q-fin.CP]PDGM: a Neural Network Approach to Solve Path-Dependent Partial Differential Equations
    Yuri F. Saporito, Zhaoyu Zhang
    http://arxiv.org/abs/2003.02035v1

    • [quant-ph]Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation
    Lukas J. Fiderer, Jonas Schuff, Daniel Braun
    http://arxiv.org/abs/2003.02183v1

    • [stat.AP]Designing a Bonus-Malus system reflecting the claim size under the dependent frequency-severity model
    Rosy Oh, Joseph H. T. Kim, Jae Youn Ahn
    http://arxiv.org/abs/2003.01860v1

    • [stat.AP]Observational daily and regional photovoltaic solar energy production for the Netherlands
    Benjamin P. M. Laevens, Olav ten Bosch
    http://arxiv.org/abs/2003.01728v1

    • [stat.AP]Visualizing Large-Scale Assessments in Mathematics through Dimensionality Reduction
    Esdras Medeiros, Jorge Lira, Romildo Silva, Caio Azevedo
    http://arxiv.org/abs/2003.01864v1

    • [stat.ME]A Quadratic Programming Solution to the FICO Credit Scoring Problem
    Bruce Hoadley
    http://arxiv.org/abs/2003.00280v1

    • [stat.ME]A fast Monte Carlo test for preferential sampling
    Joe Watson
    http://arxiv.org/abs/2003.01319v2

    • [stat.ME]Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation
    Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
    http://arxiv.org/abs/2003.01805v1

    • [stat.ME]Alleviating confounding in spatio-temporal areal models: different proposals, different results
    A. Adin, T. Goicoa, J. S. Hodges, P. Schnell, M. D. Ugarte
    http://arxiv.org/abs/2003.01946v1

    • [stat.ME]Large-Scale Shrinkage Estimation under Markovian Dependence
    Bowen Gang, Gourab Mukherjee, Wenguang Sun
    http://arxiv.org/abs/2003.01873v1

    • [stat.ME]On spatial and spatio-temporal multi-structure point process models
    Morteza Raeisi, Florent Bonneu, Edith Gabriel
    http://arxiv.org/abs/2003.01962v1

    • [stat.ME]Optimally estimating the sample mean and standard deviation from the five-number summary
    Jiandong Shi, Dehui Luo, Hong Weng, Xian-Tao Zeng, Lu Lin, Haitao Chu, Tiejun Tong
    http://arxiv.org/abs/2003.02130v1

    • [stat.ME]Prediction of Time to a Terminal Event (TTTE) of New Units in a Dynamic Recurrent Competing Risks Model
    Piaomu Liu
    http://arxiv.org/abs/2003.01804v1

    • [stat.ME]Probabilistic performance estimators for computational chemistry methods: Systematic Improvement Probability and Ranking Probability Matrix. I. Theory
    Pascal Pernot, Andreas Savin
    http://arxiv.org/abs/2003.00987v2

    • [stat.ME]Risk Projection for Time-to-event Outcome Leveraging Summary Statistics With Source Individual-level Data
    Zheng Jiayin, Zheng Yingye, Hsu Li
    http://arxiv.org/abs/2003.01850v1

    • [stat.ME]Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
    Victor Veitch, Anisha Zaveri
    http://arxiv.org/abs/2003.01747v1

    • [stat.ME]Simultaneous test for Means: An Unblind Way to the F-test in One-way Analysis of Variance
    Elsayed A. H. Elamir
    http://arxiv.org/abs/2003.00192v1

    • [stat.ME]Universal sieve-based strategies for efficient estimation using machine learning tools
    Hongxiang Qiu, Alex Luedtke, Marco Carone
    http://arxiv.org/abs/2003.01856v1

    • [stat.ML]Adaptive exponential power distribution with moving estimator for nonstationary time series
    Jarek Duda
    http://arxiv.org/abs/2003.02149v1

    • [stat.ML]Corruption-Tolerant Gaussian Process Bandit Optimization
    Ilija Bogunovic, Andreas Krause, Jonathan Scarlett
    http://arxiv.org/abs/2003.01971v1

    • [stat.ML]Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions
    Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki
    http://arxiv.org/abs/2003.01770v1

    • [stat.ML]Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error
    Yusuke Hayashi, Taiji Suzuki
    http://arxiv.org/abs/2003.01889v1

    • [stat.ML]Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems
    Ziqi Wang, Marco Broccardo, Junho Song
    http://arxiv.org/abs/2003.02205v1

    • [stat.ML]The large learning rate phase of deep learning: the catapult mechanism
    Aitor Lewkowycz, Yasaman Bahri, Ethan Dyer, Jascha Sohl-Dickstein, Guy Gur-Ari
    http://arxiv.org/abs/2003.02218v1

    • [stat.ML]Transformation Importance with Applications to Cosmology
    Chandan Singh, Wooseok Ha, Francois Lanusse, Vanessa Boehm, Jia Liu, Bin Yu
    http://arxiv.org/abs/2003.01926v1

    • [stat.ML]Unbiased variable importance for random forests
    Markus Loecher
    http://arxiv.org/abs/2003.02106v1