cs.AI - 人工智能 cs.CG - 计算几何学 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.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.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.SE - 软件工程 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.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 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

    • [cs.AI]A Bounded Measure for Estimating the Benefit of Visualization
    • [cs.AI]Archimedean Choice Functions: an Axiomatic Foundation for Imprecise Decision Making
    • [cs.AI]Coherent and Archimedean choice in general Banach spaces
    • [cs.AI]Cooperative Observation of Targets moving over a Planar Graph with Prediction of Positions
    • [cs.AI]ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description)
    • [cs.AI]Fully Differentiable Procedural Content Generation through Generative Playing Networks
    • [cs.AI]Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
    • [cs.AI]On the Sensory Commutativity of Action Sequences for Embodied Agents
    • [cs.AI]Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection
    • [cs.AI]Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints
    • [cs.CG]Graph Similarity Using PageRank and Persistent Homology
    • [cs.CL]Comparison of Turkish Word Representations Trained on Different Morphological Forms
    • [cs.CL]Exploiting the Matching Information in the Support Set for Few Shot Event Classification
    • [cs.CL]Keyphrase Extraction with Span-based Feature Representations
    • [cs.CL]Looking Enhances Listening: Recovering Missing Speech Using Images
    • [cs.CL]Non-Autoregressive Neural Dialogue Generation
    • [cs.CL]Pre-Training for Query Rewriting in A Spoken Language Understanding System
    • [cs.CL]Sentiment Analysis Using Averaged Weighted Word Vector Features
    • [cs.CL]Sparse and Structured Visual Attention
    • [cs.CL]Unsupervised Separation of Native and Loanwords for Malayalam and Telugu
    • [cs.CR]Dynamic Role-Based Access Control for Decentralized Applications
    • [cs.CV]Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking
    • [cs.CV]Automatically Discovering and Learning New Visual Categories with Ranking Statistics
    • [cs.CV]Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection
    • [cs.CV]Classifying the classifier: dissecting the weight space of neural networks
    • [cs.CV]Component Analysis for Visual Question Answering Architectures
    • [cs.CV]Continual Universal Object Detection
    • [cs.CV]Emotion Recognition for In-the-wild Videos
    • [cs.CV]EndoL2H: Deep Super-Resolution for Capsule Endoscopy
    • [cs.CV]GANILLA: Generative Adversarial Networks for Image to Illustration Translation
    • [cs.CV]Hypergraph Optimization for Multi-structural Geometric Model Fitting
    • [cs.CV]Image-to-Image Translation with Text Guidance
    • [cs.CV]Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization
    • [cs.CV]Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task
    • [cs.CV]Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
    • [cs.CV]Object Detection on Single Monocular Images through Canonical Correlation Analysis
    • [cs.CV]Progressive Object Transfer Detection
    • [cs.CV]Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks
    • [cs.CV]Replacing Mobile Camera ISP with a Single Deep Learning Model
    • [cs.CV]SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
    • [cs.CV]Solving Missing-Annotation Object Detection with Background Recalibration Loss
    • [cs.CV]SpotNet: Self-Attention Multi-Task Network for Object Detection
    • [cs.CV]Summarizing the performances of a background subtraction algorithm measured on several videos
    • [cs.CV]Validating uncertainty in medical image translation
    • [cs.CY]A Hierarchy of Limitations in Machine Learning
    • [cs.CY]AI safety: state of the field through quantitative lens
    • [cs.CY]Fog Computing on Constrained Devices: Paving the Way for the Future IoT
    • [cs.CY]Functionally Effective Conscious AI Without Suffering
    • [cs.CY]Hacia los Comités de Ética en Inteligencia Artificial
    • [cs.CY]Impact of Customer Reviews on Hotel Rating
    • [cs.CY]Machines Learn Appearance Bias in Face Recognition
    • [cs.CY]Social and Child Care Provision in Kinship Networks: an Agent-Based Model
    • [cs.CY]Steps Towards Value-Aligned Systems
    • [cs.CY]Understanding individual behaviour: from virtual to physical patterns
    • [cs.DC]Distributed Graph Realizations
    • [cs.DC]Modelling Fog Offloading Performance
    • [cs.DC]Ressource Efficient Stabilization for Local Tasks despite Unknown Capacity Links
    • [cs.DS]The {0,1}-knapsack problem with qualitative levels
    • [cs.DS]Work-efficient Batch-incremental Minimum Spanning Trees with Applications to the Sliding Window Model
    • [cs.GT]Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry
    • [cs.HC]HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models
    • [cs.IR]An Ontology-driven Treatment Article Retrieval System for Precision Oncology
    • [cs.IT]Age of Information with Gilbert-Elliot Servers and Samplers
    • [cs.IT]Air-to-Air Communications Beyond 5G: A Novel 3D CoMP Transmission Scheme
    • [cs.IT]Conditional Disclosure of Secrets: A Noise and Signal Alignment Approach
    • [cs.IT]Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks
    • [cs.IT]Generalized LDPC Codes with Convolutional Code Constraints
    • [cs.IT]Scheduling Observers Over a Shared Channel with Hard Delivery Deadlines
    • [cs.LG]A Framework for End-to-End Learning on Semantic Tree-Structured Data
    • [cs.LG]A Simple Framework for Contrastive Learning of Visual Representations
    • [cs.LG]AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
    • [cs.LG]Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner
    • [cs.LG]Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization
    • [cs.LG]Analysis and Evaluation of Handwriting in Patients with Parkinson’s Disease Using kinematic, Geometrical, and Non-linear Features
    • [cs.LG]Assortment Optimization with Repeated Exposures and Product-dependent Patience Cost
    • [cs.LG]Beyond No-Regret: Competitive Control via Online Optimization with Memory
    • [cs.LG]CBAG: Conditional Biomedical Abstract Generation
    • [cs.LG]CEB Improves Model Robustness
    • [cs.LG]CSM-NN: Current Source Model Based Logic Circuit Simulation — A Neural Network Approach
    • [cs.LG]Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs
    • [cs.LG]Cross-Iteration Batch Normalization
    • [cs.LG]Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing
    • [cs.LG]Explainable Deep Modeling of Tabular Data using TableGraphNet
    • [cs.LG]GLU Variants Improve Transformer
    • [cs.LG]Geom-GCN: Geometric Graph Convolutional Networks
    • [cs.LG]Gradient tracking and variance reduction for decentralized optimization and machine learning
    • [cs.LG]Identifying Audio Adversarial Examples via Anomalous Pattern Detection
    • [cs.LG]Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic
    • [cs.LG]Intrinsic Motivation for Encouraging Synergistic Behavior
    • [cs.LG]Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
    • [cs.LG]Learning Halfspaces with Massart Noise Under Structured Distributions
    • [cs.LG]Metric-Free Individual Fairness in Online Learning
    • [cs.LG]Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
    • [cs.LG]PHOTON — A Python API for Rapid Machine Learning Model Development
    • [cs.LG]Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise
    • [cs.LG]Real or Not Real, that is the Question
    • [cs.LG]Regularizing activations in neural networks via distribution matching with the Wasserstein metric
    • [cs.LG]Resolving Spurious Correlations in Causal Models of Environments via Interventions
    • [cs.LG]Self-Distillation Amplifies Regularization in Hilbert Space
    • [cs.LG]Sequential Cooperative Bayesian Inference
    • [cs.LG]Shortest path distance approximation using deep learning techniques
    • [cs.LG]Simple Interactive Image Segmentation using Label Propagation through kNN graphs
    • [cs.LG]Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition
    • [cs.LG]Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
    • [cs.LG]Stochastic Approximate Gradient Descent via the Langevin Algorithm
    • [cs.LG]Superpixel Image Classification with Graph Attention Networks
    • [cs.LG]The Conditional Entropy Bottleneck
    • [cs.LG]The empirical duality gap of constrained statistical learning
    • [cs.LG]Tight Lower Bounds for Combinatorial Multi-Armed Bandits
    • [cs.LG]Training Large Neural Networks with Constant Memory using a New Execution Algorithm
    • [cs.LG]Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE
    • [cs.LG]Variational Autoencoders with Riemannian Brownian Motion Priors
    • [cs.LG]XCS Classifier System with Experience Replay
    • [cs.NE]Adapting to Unseen Environments through Explicit Representation of Context
    • [cs.NE]Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription
    • [cs.NE]Genetic Algorithms for Redundancy in Interaction Testing
    • [cs.NE]MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization
    • [cs.NI]A Combined Stochastic and Physical Framework for Modeling Indoor 5G Millimeter Wave Propagation
    • [cs.RO]BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
    • [cs.RO]Deep compositional robotic planners that follow natural language commands
    • [cs.RO]Fast Frontier-based Information-driven Autonomous Exploration with an MAV
    • [cs.RO]Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments
    • [cs.SE]Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
    • [cs.SE]DeepMutation: A Neural Mutation Tool
    • [econ.EM]Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition
    • [eess.AS]Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson’s disease patients
    • [eess.AS]Self-supervised learning for audio-visual speaker diarization
    • [eess.IV]Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head
    • [eess.IV]Generative-based Airway and Vessel Morphology Quantification on Chest CT Images
    • [eess.IV]MLFcGAN: Multi-level Feature Fusion based Conditional GAN for Underwater Image Color Correction
    • [eess.IV]Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
    • [eess.IV]Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images
    • [eess.SP]A latent variable approach to heat load prediction in thermal grids
    • [eess.SP]Near-Optimal Interference Exploitation 1-Bit Massive MIMO Precoding via Partial Branch-and-Bound
    • [eess.SP]Performance Analysis of Intelligent Reflective Surfaces for Wireless Communication
    • [eess.SY]Consumer Privacy Protection using Flexible Thermal Loads
    • [math.OC]A Provably Robust Multiple Rotation Averaging Scheme for SO(2)
    • [math.OC]An Optimal Multistage Stochastic Gradient Method for Minimax Problems
    • [math.OC]Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
    • [math.OC]Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization
    • [math.PR]Fast Convergence for Langevin Diffusion with Matrix Manifold Structure
    • [math.PR]Spatial birth-death-move processes : basic properties and estimation of their intensity functions
    • [math.ST]A study on the leverage effect on financial series using a TAR model: a Bayesian approach
    • [math.ST]On sufficient dimension reduction via principal asymmetric least squares
    • [math.ST]Solution manifold and Its Statistical Applications
    • [physics.comp-ph]Connecting Dualities and Machine Learning
    • [physics.soc-ph]Lowest Degree Decomposition of Complex Networks
    • [physics.soc-ph]Time series approximation with multiple dynamical system’s trajectories. Forecast and control of the Internet traffic
    • [q-bio.GN]LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment
    • [quant-ph]Beyond single-shot fault-tolerant quantum error correction
    • [quant-ph]The Quantum Entropy Cone of Hypergraphs
    • [stat.AP]$M$-estimation in a diffusion model with application to biosensor transdermal blood alcohol monitoring
    • [stat.AP]Backward importance sampling for partially observed diffusion processes
    • [stat.AP]Health Assessment and Prognostics Based on Higher Order Hidden Semi-Markov Models
    • [stat.ME]A Competing Risks Model with Time Varying Covariates for Estimation of Breast Cancer Risks in BRCA1 Families
    • [stat.ME]A computational validation for nonparametric assessment of spatial trends
    • [stat.ME]Bayesian Kernel Two-Sample Testing
    • [stat.ME]Conditional Path Analysis in Singly-Connected Path Diagrams
    • [stat.ME]Experimental Design in Two-Sided Platforms: An Analysis of Bias
    • [stat.ME]Generalized Autoregressive Neural Network Models
    • [stat.ME]Island filters for partially observed spatiotemporal systems
    • [stat.ME]On Contamination of Symbolic Datasets
    • [stat.ML]A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings
    • [stat.ML]Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm
    • [stat.ML]Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling
    • [stat.ML]Estimating Uncertainty Intervals from Collaborating Networks
    • [stat.ML]Exponential Step Sizes for Non-Convex Optimization
    • [stat.ML]Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
    • [stat.ML]Multiscale Non-stationary Stochastic Bandits
    • [stat.ML]PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
    • [stat.ML]Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
    • [stat.ML]The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version

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

    • [cs.AI]A Bounded Measure for Estimating the Benefit of Visualization
    Min Chen, Mateu Sbert, Alfie Abdul-Rahman, Deborah Silver
    http://arxiv.org/abs/2002.05282v1

    • [cs.AI]Archimedean Choice Functions: an Axiomatic Foundation for Imprecise Decision Making
    Jasper De Bock
    http://arxiv.org/abs/2002.05196v1

    • [cs.AI]Coherent and Archimedean choice in general Banach spaces
    Gert de Cooman
    http://arxiv.org/abs/2002.05461v1

    • [cs.AI]Cooperative Observation of Targets moving over a Planar Graph with Prediction of Positions
    José E. B. Maia, Levi P. Figueredo
    http://arxiv.org/abs/2002.05294v1

    • [cs.AI]ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description)
    Jan Jakubův, Karel Chvalovský, Miroslav Olšák, Bartosz Piotrowski, Martin Suda, Josef Urban
    http://arxiv.org/abs/2002.05406v1

    • [cs.AI]Fully Differentiable Procedural Content Generation through Generative Playing Networks
    Philip Bontrager, Julian Togelius
    http://arxiv.org/abs/2002.05259v1

    • [cs.AI]Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
    Ke Zhang, Meng Li, Zhengchao Zhang, Xi Lin, Fang He
    http://arxiv.org/abs/2002.05513v1

    • [cs.AI]On the Sensory Commutativity of Action Sequences for Embodied Agents
    Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat
    http://arxiv.org/abs/2002.05630v1

    • [cs.AI]Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection
    Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
    http://arxiv.org/abs/2002.05160v1

    • [cs.AI]Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints
    Steven Carr, Nils Jansen, Ufuk Topcu
    http://arxiv.org/abs/2002.05615v1

    • [cs.CG]Graph Similarity Using PageRank and Persistent Homology
    Mustafa Hajij, Elizabeth Munch, Paul Rosen
    http://arxiv.org/abs/2002.05158v1

    • [cs.CL]Comparison of Turkish Word Representations Trained on Different Morphological Forms
    Gökhan Güler, A. Cüneyd Tantuğ
    http://arxiv.org/abs/2002.05417v1

    • [cs.CL]Exploiting the Matching Information in the Support Set for Few Shot Event Classification
    Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen
    http://arxiv.org/abs/2002.05295v1

    • [cs.CL]Keyphrase Extraction with Span-based Feature Representations
    Funan Mu, Zhenting Yu, LiFeng Wang, Yequan Wang, Qingyu Yin, Yibo Sun, Liqun Liu, Teng Ma, Jing Tang, Xing Zhou
    http://arxiv.org/abs/2002.05407v1

    • [cs.CL]Looking Enhances Listening: Recovering Missing Speech Using Images
    Tejas Srinivasan, Ramon Sanabria, Florian Metze
    http://arxiv.org/abs/2002.05639v1

    • [cs.CL]Non-Autoregressive Neural Dialogue Generation
    Qinghong Han, Yuxian Meng, Fei Wu, Jiwei Li
    http://arxiv.org/abs/2002.04250v2

    • [cs.CL]Pre-Training for Query Rewriting in A Spoken Language Understanding System
    Zheng Chen, Xing Fan, Yuan Ling, Lambert Mathias, Chenlei Guo
    http://arxiv.org/abs/2002.05607v1

    • [cs.CL]Sentiment Analysis Using Averaged Weighted Word Vector Features
    Ali Erkan, Tunga Gungor
    http://arxiv.org/abs/2002.05606v1

    • [cs.CL]Sparse and Structured Visual Attention
    Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André Martins
    http://arxiv.org/abs/2002.05556v1

    • [cs.CL]Unsupervised Separation of Native and Loanwords for Malayalam and Telugu
    Sridhama Prakhya, Deepak P
    http://arxiv.org/abs/2002.05527v1

    • [cs.CR]Dynamic Role-Based Access Control for Decentralized Applications
    Arnab Chatterjee, Yash Pitroda, Manojkumar Parmar
    http://arxiv.org/abs/2002.05547v1

    • [cs.CV]Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking
    Haosheng Chen, Qiangqiang Wu, Yanjie Liang, Xinbo Gao, Hanzi Wang
    http://arxiv.org/abs/2002.05583v1

    • [cs.CV]Automatically Discovering and Learning New Visual Categories with Ranking Statistics
    Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
    http://arxiv.org/abs/2002.05714v1

    • [cs.CV]Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection
    Fabricio A Breve, Marcos G Quiles, Liang Zhao, Elbert E. N. Macau
    http://arxiv.org/abs/2002.05493v1

    • [cs.CV]Classifying the classifier: dissecting the weight space of neural networks
    Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman
    http://arxiv.org/abs/2002.05688v1

    • [cs.CV]Component Analysis for Visual Question Answering Architectures
    Camila Kolling, Jônatas Wehrmann, Rodrigo C. Barros
    http://arxiv.org/abs/g/abs/2002.05104v1

    • [cs.CV]Continual Universal Object Detection
    Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
    http://arxiv.org/abs/2002.05347v1

    • [cs.CV]Emotion Recognition for In-the-wild Videos
    Hanyu Liu, Jiabei Zeng, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/2002.05447v1

    • [cs.CV]EndoL2H: Deep Super-Resolution for Capsule Endoscopy
    Yasin Almalioglu, Abdulkadir Gokce, Kagan Incetan, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nichalos J. Durr, Faisal Mahmood, Mehmet Turan
    http://arxiv.org/abs/2002.05459v1

    • [cs.CV]GANILLA: Generative Adversarial Networks for Image to Illustration Translation
    Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
    http://arxiv.org/abs/2002.05638v1

    • [cs.CV]Hypergraph Optimization for Multi-structural Geometric Model Fitting
    Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang
    http://arxiv.org/abs/2002.05350v1

    • [cs.CV]Image-to-Image Translation with Text Guidance
    Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz
    http://arxiv.org/abs/2002.05235v1

    • [cs.CV]Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization
    Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra
    http://arxiv.org/abs/2002.05293v1

    • [cs.CV]Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task
    Tomás Völker, Guillaume Boisson, Bertrand Chupeau
    http://arxiv.org/abs/2002.05028v2

    • [cs.CV]Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
    Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John Magee, Jacob Whitehill, Ivon Arroyo, Beverly Woolf, Stan Sclaroff, Margrit Betke
    http://arxiv.org/abs/2002.05242v1

    • [cs.CV]Object Detection on Single Monocular Images through Canonical Correlation Analysis
    Zifan Yu, Suya You
    http://arxiv.org/abs/2002.05349v1

    • [cs.CV]Progressive Object Transfer Detection
    Hao Chen, Yali Wang, Guoyou Wang, Xiang Bai, Yu Qiao
    http://arxiv.org/abs/2002.04741v2

    • [cs.CV]Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks
    Taro Kiritani, Koji Ono
    http://arxiv.org/abs/2002.05388v1

    • [cs.CV]Replacing Mobile Camera ISP with a Single Deep Learning Model
    Andrey Ignatov, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2002.05509v1

    • [cs.CV]SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
    Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang
    http://arxiv.org/abs/2002.05316v1

    • [cs.CV]Solving Missing-Annotation Object Detection with Background Recalibration Loss
    Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides
    http://arxiv.org/abs/2002.05274v1

    • [cs.CV]SpotNet: Self-Attention Multi-Task Network for Object Detection
    Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier
    http://arxiv.org/abs/2002.05540v1

    • [cs.CV]Summarizing the performances of a background subtraction algorithm measured on several videos
    Sébastien Piérard, Marc Van Droogenbroeck
    http://arxiv.org/abs/2002.05654v1

    • [cs.CV]Validating uncertainty in medical image translation
    Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass
    http://arxiv.org/abs/2002.04639v1

    • [cs.CY]A Hierarchy of Limitations in Machine Learning
    Momin M. Malik
    http://arxiv.org/abs/2002.05193v1

    • [cs.CY]AI safety: state of the field through quantitative lens
    Mislav Juric, Agneza Sandic, Mario Brcic
    http://arxiv.org/abs/2002.05671v1

    • [cs.CY]Fog Computing on Constrained Devices: Paving the Way for the Future IoT
    Flavia Pisani, Fabiola M. C. de Oliveira, Eduardo S. Gama, Roger Immich, Luiz F. Bittencourt, Edson Borin
    http://arxiv.org/abs/2002.05300v1

    • [cs.CY]Functionally Effective Conscious AI Without Suffering
    Aman Agarwal, Shimon Edelman
    http://arxiv.org/abs/2002.05652v1

    • [cs.CY]Hacia los Comités de Ética en Inteligencia Artificial
    Sofía Trejo, Ivan Meza, Fernanda López-Escobedo
    http://arxiv.org/abs/2002.05673v1

    • [cs.CY]Impact of Customer Reviews on Hotel Rating
    J. Ahmad, H. Sami Ullah, N. Arjomand
    http://arxiv.org/abs/2002.05342v1

    • [cs.CY]Machines Learn Appearance Bias in Face Recognition
    Ryan Steed, Aylin Caliskan
    http://arxiv.org/abs/2002.05636v1

    • [cs.CY]Social and Child Care Provision in Kinship Networks: an Agent-Based Model
    Umberto Gostoli, Eric Silverman
    http://arxiv.org/abs/2002.05188v1

    • [cs.CY]Steps Towards Value-Aligned Systems
    Osonde A. Osoba, Benjamin Boudreaux, Douglas Yeung
    http://arxiv.org/abs/2002.05672v1

    • [cs.CY]Understanding individual behaviour: from virtual to physical patterns
    Marco De Nadai, Bruno Lepri, Nuria Oliver
    http://arxiv.org/abs/2002.05500v1

    • [cs.DC]Distributed Graph Realizations
    John Augustine, Keerti Choudhary, Avi Cohen, David Peleg, Sumathi Sivasubramaniam, Suman Sourav
    http://arxiv.org/abs/2002.05376v1

    • [cs.DC]Modelling Fog Offloading Performance
    Ayesha Abdul Majeed, Peter Kilpatrick, Ivor Spence, Blesson Varghese
    http://arxiv.org/abs/2002.05531v1

    • [cs.DC]Ressource Efficient Stabilization for Local Tasks despite Unknown Capacity Links
    Lélia Blin, Anaïs Durand, Sébastien Tixeuil
    http://arxiv.org/abs/2002.05382v1

    • [cs.DS]The {0,1}-knapsack problem with qualitative levels
    Luca E. Schäfer, Tobias Dietz, Maria Barbati, José Rui Figueira, Salvatore Greco, Stefan Ruzika
    http://arxiv.org/abs/2002.04850v1

    • [cs.DS]Work-efficient Batch-incremental Minimum Spanning Trees with Applications to the Sliding Window Model
    Daniel Anderson, Guy E. Blelloch, Kanat Tangwongsan
    http://arxiv.org/abs/2002.05710v1

    • [cs.GT]Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry
    Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti
    http://arxiv.org/abs/2002.05190v1

    • [cs.HC]HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models
    Qianwen Wang, William Alexander, Jack Pegg, Huamin Qu, Min Chen
    http://arxiv.org/abs/2002.05271v1

    • [cs.IR]An Ontology-driven Treatment Article Retrieval System for Precision Oncology
    Zheng Chen, Sadid A. Hasan, Joey Liu, Vivek Datla, Md Shamsuzzaman, Hafiz Khan, Mohammad S Sorower, Gabe Mankovich, Rob van Ommering, Nevenka Dimitrova
    http://arxiv.org/abs/2002.05653v1

    • [cs.IT]Age of Information with Gilbert-Elliot Servers and Samplers
    Baturalp Buyukates, Sennur Ulukus
    http://arxiv.org/abs/2002.05711v1

    • [cs.IT]Air-to-Air Communications Beyond 5G: A Novel 3D CoMP Transmission Scheme
    Yan Li, Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Guanghua Yang, Minghua Xia
    http://arxiv.org/abs/2002.05486v1

    • [cs.IT]Conditional Disclosure of Secrets: A Noise and Signal Alignment Approach
    Zhou Li, Hua Sun
    http://arxiv.org/abs/2002.05691v1

    • [cs.IT]Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks
    Yan Liu, Zhiyuan Jiang, Shunqing Zhang, Shugong Xu
    http://arxiv.org/abs/2002.05564v1

    • [cs.IT]Generalized LDPC Codes with Convolutional Code Constraints
    Muhammad Umar Farooq, Saeedeh Moloudi, Michael Lentmaier
    http://arxiv.org/abs/2002.05633v1

    • [cs.IT]Scheduling Observers Over a Shared Channel with Hard Delivery Deadlines
    Rebal Jurdi, Jeffrey G. Andrews, Robert W. Heath Jr
    http://arxiv.org/abs/2002.05329v1

    • [cs.LG]A Framework for End-to-End Learning on Semantic Tree-Structured Data
    William Woof, Ke Chen
    http://arxiv.org/abs/2002.05707v1

    • [cs.LG]A Simple Framework for Contrastive Learning of Visual Representations
    Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton
    http://arxiv.org/abs/2002.05709v1

    • [cs.LG]AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
    Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro
    http://arxiv.org/abs/2002.05635v1

    • [cs.LG]Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner
    Yunlu Wang, Menghan Hu, Qingli Li, Xiao-Ping Zhang, Guangtao Zhai, Nan Yao
    http://arxiv.org/abs/2002.05534v1

    • [cs.LG]Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization
    Samuel Horváth, Lihua Lei, Peter Richtárik, Michael I. Jordan
    http://arxiv.org/abs/2002.05359v1

    • [cs.LG]Analysis and Evaluation of Handwriting in Patients with Parkinson’s Disease Using kinematic, Geometrical, and Non-linear Features
    C. D. Rios-Urrego, J. C. Vásquez-Correa, J. F. Vargas-Bonilla, E. Nöth, F. Lopera, J. R. Orozco-Arroyave
    http://arxiv.org/abs/2002.05411v1

    • [cs.LG]Assortment Optimization with Repeated Exposures and Product-dependent Patience Cost
    Shaojie Tang
    http://arxiv.org/abs/2002.05321v1

    • [cs.LG]Beyond No-Regret: Competitive Control via Online Optimization with Memory
    Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
    http://arxiv.org/abs/2002.05318v1

    • [cs.LG]CBAG: Conditional Biomedical Abstract Generation
    Justin Sybrandt, Ilya Safro
    http://arxiv.org/abs/2002.05637v1

    • [cs.LG]CEB Improves Model Robustness
    Ian Fischer, Alexander A. Alemi
    http://arxiv.org/abs/2002.05380v1

    • [cs.LG]CSM-NN: Current Source Model Based Logic Circuit Simulation — A Neural Network Approach
    Mohammad Saeed Abrishami, Massoud Pedram, Shahin Nazarian
    http://arxiv.org/abs/2002.05291v1

    • [cs.LG]Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs
    Emanuele Pesce, Giovanni Montana
    http://arxiv.org/abs/2002.05233v1

    • [cs.LG]Cross-Iteration Batch Normalization
    Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
    http://arxiv.org/abs/2002.05712v1

    • [cs.LG]Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing
    Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed Chi
    http://arxiv.org/abs/2002.05229v1

    • [cs.LG]Explainable Deep Modeling of Tabular Data using TableGraphNet
    Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid, Asif Chowdhury
    http://arxiv.org/abs/2002.05205v1

    • [cs.LG]GLU Variants Improve Transformer
    Noam Shazeer
    http://arxiv.org/abs/2002.05202v1

    • [cs.LG]Geom-GCN: Geometric Graph Convolutional Networks
    Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
    http://arxiv.org/abs/2002.05287v1

    • [cs.LG]Gradient tracking and variance reduction for decentralized optimization and machine learning
    Ran Xin, Soummya Kar, Usman A. Khan
    http://arxiv.org/abs/2002.05373v1

    • [cs.LG]Identifying Audio Adversarial Examples via Anomalous Pattern Detection
    Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan
    http://arxiv.org/abs/2002.05463v1

    • [cs.LG]Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic
    Yangang Ren, Jingliang Duan, Yang Guan, Shengbo Eben Li
    http://arxiv.org/abs/2002.05502v1

    • [cs.LG]Intrinsic Motivation for Encouraging Synergistic Behavior
    Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta
    http://arxiv.org/abs/2002.05189v1

    • [cs.LG]Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
    Vikas K. Garg, Adam Kalai, Katrina Ligett, Zhiwei Steven Wu
    http://arxiv.org/abs/2002.05660v1

    • [cs.LG]Learning Halfspaces with Massart Noise Under Structured Distributions
    Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis
    http://arxiv.org/abs/2002.05632v1

    • [cs.LG]Metric-Free Individual Fairness in Online Learning
    Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu
    http://arxiv.org/abs/2002.05474v1

    • [cs.LG]Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
    Jung Yeon Park, Kenneth Theo Carr, Stephan Zhang, Yisong Yue, Rose Yu
    http://arxiv.org/abs/2002.05578v1

    • [cs.LG]PHOTON — A Python API for Rapid Machine Learning Model Development
    Ramona Leenings, Nils Ralf Winter, Lucas Plagwitz, Vincent Holstein, Jan Ernsting, Jakob Steenweg, Julian Gebker, Kelvin Sarink, Daniel Emden, Dominik Grotegerd, Nils Opel, Benjamin Risse, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn
    http://arxiv.org/abs/2002.05426v1

    • [cs.LG]Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise
    Fabricio Aparecido Breve, Liang Zhao, Marcos Gonçalves Quiles
    http://arxiv.org/abs/2002.05198v1

    • [cs.LG]Real or Not Real, that is the Question
    Yuanbo Xiangli, Yubin Deng, Bo Dai, Chen Change Loy, Dahua Lin
    http://arxiv.org/abs/2002.05512v1

    • [cs.LG]Regularizing activations in neural networks via distribution matching with the Wasserstein metric
    Taejong Joo, Donggu Kang, Byunghoon Kim
    http://arxiv.org/abs/2002.05366v1

    • [cs.LG]Resolving Spurious Correlations in Causal Models of Environments via Interventions
    Sergei Volodin, Nevan Wichers, Jeremy Nixon
    http://arxiv.org/abs/2002.05217v1

    • [cs.LG]Self-Distillation Amplifies Regularization in Hilbert Space
    Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett
    http://arxiv.org/abs/2002.05715v1

    • [cs.LG]Sequential Cooperative Bayesian Inference
    Junqi Wang, Pei Wang, Patrick Shafto
    http://arxiv.org/abs/2002.05706v1

    • [cs.LG]Shortest path distance approximation using deep learning techniques
    Fatemeh Salehi Rizi, Joerg Schloetterer, Michael Granitzer
    http://arxiv.org/abs/2002.05257v1

    • [cs.LG]Simple Interactive Image Segmentation using Label Propagation through kNN graphs
    Fabricio Aparecido Breve
    http://arxiv.org/abs/2002.05708v1

    • [cs.LG]Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition
    Shi Hu, Nicola Pezzotti, Dimitrios Mavroeidis, Max Welling
    http://arxiv.org/abs/2002.05582v1

    • [cs.LG]Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
    Xiangning Chen, Cho-Jui Hsieh
    http://arxiv.org/abs/2002.05283v1

    • [cs.LG]Stochastic Approximate Gradient Descent via the Langevin Algorithm
    Yixuan Qiu, Xiao Wang
    http://arxiv.org/abs/2002.05519v1

    • [cs.LG]Superpixel Image Classification with Graph Attention Networks
    Pedro H. C. Avelar, Anderson R. Tavares, Thiago L. T. da Silveira, Cláudio R. Jung, Luís C. Lamb
    http://arxiv.org/abs/2002.05544v1

    • [cs.LG]The Conditional Entropy Bottleneck
    Ian Fischer
    http://arxiv.org/abs/2002.05379v1

    • [cs.LG]The empirical duality gap of constrained statistical learning
    Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
    http://arxiv.org/abs/2002.05183v1

    • [cs.LG]Tight Lower Bounds for Combinatorial Multi-Armed Bandits
    Nadav Merlis, Shie Mannor
    http://arxiv.org/abs/2002.05392v1

    • [cs.LG]Training Large Neural Networks with Constant Memory using a New Execution Algorithm
    Bharadwaj Pudipeddi, Maral Mesmakhosroshahi, Jinwen Xi, Sujeeth Bharadwaj
    http://arxiv.org/abs/2002.05645v1

    • [cs.LG]Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE
    Isaac Robinson, Emma Pierce-Hoffman
    http://arxiv.org/abs/2002.05687v1

    • [cs.LG]Variational Autoencoders with Riemannian Brownian Motion Priors
    Dimitris Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg
    http://arxiv.org/abs/2002.05227v1

    • [cs.LG]XCS Classifier System with Experience Replay
    Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner
    http://arxiv.org/abs/2002.05628v1

    • [cs.NE]Adapting to Unseen Environments through Explicit Representation of Context
    Cem C. Tutum, Risto Miikkulainen
    http://arxiv.org/abs/2002.05640v1

    • [cs.NE]Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription
    Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
    http://arxiv.org/abs/2002.05368v1

    • [cs.NE]Genetic Algorithms for Redundancy in Interaction Testing
    Ryan E. Dougherty
    http://arxiv.org/abs/2002.05421v1

    • [cs.NE]MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization
    Hong Wu, Jiahai Wang, Zizhen Zhang
    http://arxiv.org/abs/2002.05484v1

    • [cs.NI]A Combined Stochastic and Physical Framework for Modeling Indoor 5G Millimeter Wave Propagation
    Georges Nassif, Catherine Gloaguen, Philippe Martins
    http://arxiv.org/abs/2002.05162v1

    • [cs.RO]BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
    Gregory Kahn, Pieter Abbeel, Sergey Levine
    http://arxiv.org/abs/2002.05700v1

    • [cs.RO]Deep compositional robotic planners that follow natural language commands
    Yen-Ling Kuo, Boris Katz, Andrei Barbu
    http://arxiv.org/abs/2002.05201v1

    • [cs.RO]Fast Frontier-based Information-driven Autonomous Exploration with an MAV
    Anna Dai, Sotiris Papatheodorou, Nils Funk, Dimos Tzoumanikas, Stefan Leutenegger
    http://arxiv.org/abs/2002.04440v2

    • [cs.RO]Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments
    Jiahao Lin, Hai Zhu, Javier Alonso-Mora
    http://arxiv.org/abs/2002.04920v2

    • [cs.SE]Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
    Triet H. M. Le, Hao Chen, M. Ali Babar
    http://arxiv.org/abs/2002.05442v1

    • [cs.SE]DeepMutation: A Neural Mutation Tool
    Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk
    http://arxiv.org/abs/2002.04760v2

    • [econ.EM]Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition
    Martin Huber, Lukáš Lafférs
    http://arxiv.org/abs/2002.05253v1

    • [eess.AS]Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson’s disease patients
    J. C. Vasquez-Correa, T. Bocklet, J. R. Orozco-Ar
    7000
    royave, E. Nöth
    http://arxiv.org/abs/2002.05412v1

    • [eess.AS]Self-supervised learning for audio-visual speaker diarization
    Yifan Ding, Yong Xu, Shi-Xiong Zhang, Yahuan Cong, Liqiang Wang
    http://arxiv.org/abs/2002.05314v1

    • [eess.IV]Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head
    Yang Li, Yan Li, Hua Tian
    http://arxiv.org/abs/2002.05536v1

    • [eess.IV]Generative-based Airway and Vessel Morphology Quantification on Chest CT Images
    Pietro Nardelli, James C. Ross, Raúl San José Estépar
    http://arxiv.org/abs/2002.05702v1

    • [eess.IV]MLFcGAN: Multi-level Feature Fusion based Conditional GAN for Underwater Image Color Correction
    Xiaodong Liu, Zhi Gao, Ben M. Chen
    http://arxiv.org/abs/2002.05333v1

    • [eess.IV]Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
    Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark Graham, Parashkev Nachev, Sebastien Ourselin, Carole H. Sudre, M. Jorge Cardoso
    http://arxiv.org/abs/2002.05692v1

    • [eess.IV]Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images
    Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi
    http://arxiv.org/abs/2002.05322v1

    • [eess.SP]A latent variable approach to heat load prediction in thermal grids
    Johan Simonsson, Khalid Tourkey Atta, Dave Zachariah, Wolfgang Birk
    http://arxiv.org/abs/2002.05397v1

    • [eess.SP]Near-Optimal Interference Exploitation 1-Bit Massive MIMO Precoding via Partial Branch-and-Bound
    Ang Li, Fan Liu, Christos Masouros, Yonghui Li, Branka Vucetic
    http://arxiv.org/abs/2002.05391v1

    • [eess.SP]Performance Analysis of Intelligent Reflective Surfaces for Wireless Communication
    Dhanushka Kudathanthirige, Dulaj Gunasinghe, Gayan Amarasuriya
    http://arxiv.org/abs/2002.05603v1

    • [eess.SY]Consumer Privacy Protection using Flexible Thermal Loads
    Jun-Xing Chin, Kyri Baker, Gabriela Hug
    http://arxiv.org/abs/2002.05408v1

    • [math.OC]A Provably Robust Multiple Rotation Averaging Scheme for SO(2)
    Tyler Maunu, Gilad Lerman
    http://arxiv.org/abs/2002.05299v1

    • [math.OC]An Optimal Multistage Stochastic Gradient Method for Minimax Problems
    Alireza Fallah, Asuman Ozdaglar, Sarath Pattathil
    http://arxiv.org/abs/2002.05683v1

    • [math.OC]Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
    Ömer Deniz Akyildiz, Sotirios Sabanis
    http://arxiv.org/abs/2002.05465v1

    • [math.OC]Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization
    Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang
    http://arxiv.org/abs/2002.05309v1

    • [math.PR]Fast Convergence for Langevin Diffusion with Matrix Manifold Structure
    Ankur Moitra, Andrej Risteski
    http://arxiv.org/abs/2002.05576v1

    • [math.PR]Spatial birth-death-move processes : basic properties and estimation of their intensity functions
    Frédéric Lavancier, Ronan Le Guével
    http://arxiv.org/abs/2002.05423v1

    • [math.ST]A study on the leverage effect on financial series using a TAR model: a Bayesian approach
    Oscar Espinosa, Fabio Nieto
    http://arxiv.org/abs/2002.05319v1

    • [math.ST]On sufficient dimension reduction via principal asymmetric least squares
    Abdul-Nasah Soale, Yuexiao Dong
    http://arxiv.org/abs/2002.05264v1

    • [math.ST]Solution manifold and Its Statistical Applications
    Yen-Chi Chen
    http://arxiv.org/abs/2002.05297v1

    • [physics.comp-ph]Connecting Dualities and Machine Learning
    Philip Betzler, Sven Krippendorf
    http://arxiv.org/abs/2002.05169v1

    • [physics.soc-ph]Lowest Degree Decomposition of Complex Networks
    Yong Yu, Ming Jing, Na Zhao, Tao Zhou
    http://arxiv.org/abs/2002.05358v1

    • [physics.soc-ph]Time series approximation with multiple dynamical system’s trajectories. Forecast and control of the Internet traffic
    Victoria Rayskin
    http://arxiv.org/abs/2002.05326v1

    • [q-bio.GN]LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment
    Alberto Zeni, Giulia Guidi, Marquita Ellis, Nan Ding, Marco D. Santambrogio, Steven Hofmeyr, Aydın Buluç, Leonid Oliker, Katherine Yelick
    http://arxiv.org/abs/2002.05200v1

    • [quant-ph]Beyond single-shot fault-tolerant quantum error correction
    Nicolas Delfosse, Ben W. Reichardt, Krysta M. Svore
    http://arxiv.org/abs/2002.05180v1

    • [quant-ph]The Quantum Entropy Cone of Hypergraphs
    Ning Bao, Newton Cheng, Sergio Hernández-Cuenca, Vincent P. Su
    http://arxiv.org/abs/2002.05317v1

    • [stat.AP]$M$-estimation in a diffusion model with application to biosensor transdermal blood alcohol monitoring
    Maria Allayioti, Jay Bartroff, Larry Goldstein, Susan Luczak, Gary Rosen
    http://arxiv.org/abs/2002.05335v1

    • [stat.AP]Backward importance sampling for partially observed diffusion processes
    Marie-Pierre Etienne, Pierre Gloaguen, Sylvain Le Corff, Jimmy Olsson
    http://arxiv.org/abs/2002.05438v1

    • [stat.AP]Health Assessment and Prognostics Based on Higher Order Hidden Semi-Markov Models
    Ying Liao, Yisha Xiang, Min Wang
    http://arxiv.org/abs/2002.05272v1

    • [stat.ME]A Competing Risks Model with Time Varying Covariates for Estimation of Breast Cancer Risks in BRCA1 Families
    Yun-Hee Choi, Hae Jung, Fode Tounkara, Saundra Buys, Mary Daly, Esther John, John Hopper, Irene Andrulis, Mary-Beth Terry, Laurent Briollais
    http://arxiv.org/abs/2002.05249v1

    • [stat.ME]A computational validation for nonparametric assessment of spatial trends
    Andrea Meilán-Vila, Rubén Fernández-Casal, Rosa M. Crujeiras Mario Francisco-Fernández
    http://arxiv.org/abs/2002.05489v1

    • [stat.ME]Bayesian Kernel Two-Sample Testing
    Qinyi Zhang, Sarah Filippi, Seth Flaxman, Dino Sejdinovic
    http://arxiv.org/abs/2002.05550v1

    • [stat.ME]Conditional Path Analysis in Singly-Connected Path Diagrams
    Jose M. Peña
    http://arxiv.org/abs/2002.05226v1

    • [stat.ME]Experimental Design in Two-Sided Platforms: An Analysis of Bias
    Ramesh Johari, Hannah Li, Gabriel Weintraub
    http://arxiv.org/abs/2002.05670v1

    • [stat.ME]Generalized Autoregressive Neural Network Models
    Renato Rodrigues Silva
    http://arxiv.org/abs/2002.05676v1

    • [stat.ME]Island filters for partially observed spatiotemporal systems
    Edward L. Ionides, Kidus Asfaw, Joonha Park, Aaron A. King
    http://arxiv.org/abs/2002.05211v1

    • [stat.ME]On Contamination of Symbolic Datasets
    Antony Pearson, Manuel E. Lladser
    http://arxiv.org/abs/2002.05592v1

    • [stat.ML]A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings
    Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
    http://arxiv.org/abs/2002.05424v1

    • [stat.ML]Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm
    Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita
    http://arxiv.org/abs/2002.05308v1

    • [stat.ML]Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling
    Will Grathwohl, Kuan-Chieh Wang, Jorn-Henrik Jacobsen, David Duvenaud, Richard Zemel
    http://arxiv.org/abs/2002.05616v1

    • [stat.ML]Estimating Uncertainty Intervals from Collaborating Networks
    Tianhui Zhou, Yitong Li, Yuan Wu, David Carlson
    http://arxiv.org/abs/2002.05212v1

    • [stat.ML]Exponential Step Sizes for Non-Convex Optimization
    Xiaoyu Li, Zhenxun Zhuang, Francesco Orabona
    http://arxiv.org/abs/2002.05273v1

    • [stat.ML]Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
    Umut Şimşekli, Lingjiong Zhu, Yee Whye Teh, Mert Gürbüzbalaban
    http://arxiv.org/abs/2002.05685v1

    • [stat.ML]Multiscale Non-stationary Stochastic Bandits
    Qin Ding, Cho-Jui Hsieh, James Sharpnack
    http://arxiv.org/abs/2002.05289v1

    • [stat.ML]PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
    Jonas Rothfuss, Vincent Fortuin, Andreas Krause
    http://arxiv.org/abs/2002.05551v1

    • [stat.ML]Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
    Yue Xing, Qifan Song, Guang Cheng
    http://arxiv.org/abs/2002.05304v1

    • [stat.ML]The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version
    Abram Magner, Mayank Baranwal, Alfred O. Hero III
    http://arxiv.org/abs/2002.05678v1