astro-ph.EP - 地球与行星天体
astro-ph.GA - 星系天体物理学 astro-ph.IM - 仪器仪表和天体物理学方法 cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-th - 高能物理理论 math.AT - 代数拓扑 math.NA - 数值分析 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.ed-ph - 物理教育 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学
• [astro-ph.EP]Revisiting distribution laws for orbital characteristics of Jupiter’s moons
• [astro-ph.EP]Revisiting the distributions of the physical characteristics of Jupiter’s irregular moons
• [astro-ph.GA]A Catalogue of Locus Algorithm Pointings for Optimal Differential Photometry for 23,779 Quasars
• [astro-ph.IM]The Locus Algorithm II: A robust software system to maximise the quality of fields of view for Differential Photometry
• [astro-ph.IM]The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry
• [cond-mat.stat-mech]On the coexistence of competing languages
• [cs.AI]A Comparative Study on Parameter Estimation in Software Reliability Modeling using Swarm Intelligence
• [cs.AI]Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning
• [cs.AI]Containment of Simple Regular Path Queries
• [cs.AI]Convex Hull Monte-Carlo Tree Search
• [cs.AI]Ecological Semantics: Programming Environments for Situated Language Understanding
• [cs.AI]Exploring Unknown States with Action Balance
• [cs.AI]MQA: Answering the Question via Robotic Manipulation
• [cs.AI]Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data
• [cs.AI]Neuro-symbolic Architectures for Context Understanding
• [cs.CL]A Framework for Evaluation of Machine Reading Comprehension Gold Standards
• [cs.CL]Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages
• [cs.CL]Efficient Intent Detection with Dual Sentence Encoders
• [cs.CL]Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog
• [cs.CL]Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
• [cs.CL]Video Caption Dataset for Describing Human Actions in Japanese
• [cs.CV]3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
• [cs.CV]A New Meta-Baseline for Few-Shot Learning
• [cs.CV]AP-MTL: Attention Pruned Multi-t
3a2f
ask Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery
• [cs.CV]Channel Pruning via Optimal Thresholding
• [cs.CV]Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
• [cs.CV]Context-Aware Domain Adaptation in Semantic Segmentation
• [cs.CV]Convolutional Occupancy Networks
• [cs.CV]Crossmodal learning for audio-visual speech event localization
• [cs.CV]Deep Blind Video Super-resolution
• [cs.CV]Deep Hough Transform for Semantic Line Detection
• [cs.CV]Deep learning approach for breast cancer diagnosis
• [cs.CV]Domain-Specific Image Super-Resolution with Progressive Adversarial Network
• [cs.CV]Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
• [cs.CV]DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation
• [cs.CV]FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
• [cs.CV]Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
• [cs.CV]FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks
• [cs.CV]HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
• [cs.CV]Hierarchical Human Parsing with Typed Part-Relation Reasoning
• [cs.CV]Hierarchical Neural Architecture Search for Single Image Super-Resolution
• [cs.CV]Image Restoration for Under-Display Camera
• [cs.CV]Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis
• [cs.CV]Incremental Few-Shot Object Detection
• [cs.CV]Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
• [cs.CV]Learning Delicate Local Representations for Multi-Person Pose Estimation
• [cs.CV]Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
• [cs.CV]Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
• [cs.CV]Multi-Scale Superpatch Matching using Dual Superpixel Descriptors
• [cs.CV]Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
• [cs.CV]Off-Road Drivable Area Extraction Using 3D LiDAR Data
• [cs.CV]PANDA: A Gigapixel-level Human-centric Video Dataset
• [cs.CV]PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy
• [cs.CV]PnP-Net: A hybrid Perspective-n-Point Network
• [cs.CV]Rainy screens: Collecting rainy datasets, indoors
• [cs.CV]Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class
• [cs.CV]Restore from Restored: Single Image Denoising with Pseudo Clean Image
• [cs.CV]SAD: Saliency-based Defenses Against Adversarial Examples
• [cs.CV]SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles
• [cs.CV]Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection
• [cs.CV]Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching
• [cs.CV]The Virtual Tailor: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
• [cs.CV]Tracking Road Users using Constraint Programming
• [cs.CV]Unpaired Image-to-Image Translation using Adversarial Consistency Loss
• [cs.CY]Smart City IoT Services Creation through Large Scale Collaboration
• [cs.DB]Data Warehouse and Decision Support on Integrated Crop Big Data
• [cs.DB]Probabilistic Partitive Partitioning (PPP)
• [cs.DC]Distributed Submodular Maximization with Parallel Execution
• [cs.DC]HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization
• [cs.DC]Optimizations to the Parallel Breath First Search on Distributed Memory
• [cs.GR]Enabling Viewpoint Learning through Dynamic Label Generation
• [cs.HC]Supporting the Supporters of Unaccompanied Migrant Youth: Designing for Social-ecological Resilience
• [cs.IR]Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation
• [cs.IR]Large-Scale Evaluation of Keyphrase Extraction Models
• [cs.IT]An Optimal Condition of Robust Low-rank Matrices Recovery
• [cs.IT]Finite-Length Scaling of Spatially Coupled LDPC Codes Under Window Decoding Over the BEC
• [cs.IT]Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
• [cs.IT]On a Class of Markov Order Estimators Based on PPM and Other Universal Codes
• [cs.IT]Performance Analysis of NOMA Uplink Networks under Statistical QoS Delay Constraints
• [cs.IT]Treating Interference as Noise is Optimal for Covert Communication over Interference Channels
• [cs.LG]Addressing multiple metrics of group fairness in data-driven decision making
• [cs.LG]An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs
• [cs.LG]An Exact Transformation from Deep Neural Networks to Multi-Class Multivariate Decision Trees
• [cs.LG]Anomaly Detection in Beehives using Deep Recurrent Autoencoders
• [cs.LG]Automatic Curriculum Learning For Deep RL: A Short Survey
• [cs.LG]Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology
• [cs.LG]Closure Properties for Private Classification and Online Prediction
• [cs.LG]Communication-efficient Variance-reduced Stochastic Gradient Descent
• [cs.LG]Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
• [cs.LG]Correlated Initialization for Correlated Data
• [cs.LG]Cryptanalytic Extraction of Neural Network Models
• [cs.LG]DIBS: Diversity inducing Information Bottleneck in Model Ensembles
• [cs.LG]Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
• [cs.LG]Frequency Bias in Neural Networks for Input of Non-Uniform Density
• [cs.LG]Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency
• [cs.LG]Lagrangian Neural Networks
• [cs.LG]Learning to be Global Optimizer
• [cs.LG]Online Tensor-Based Learning for Multi-Way Data
• [cs.LG]ReZero is All You Need: Fast Convergence at Large Depth
• [cs.LG]Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives
• [cs.LG]Set-Structured Latent Representations
• [cs.LG]Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models
• [cs.LG]Transfer Reinforcement Learning under Unobserved Contextual Information
• [cs.MA]JS-son — A Lean, Extensible JavaScript Agent Programming Library
• [cs.MS]Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencils
• [cs.NE]Automating Representation Discovery with MAP-Elites
• [cs.NE]Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle
• [cs.NE]Neural Networks are Surprisingly Modular
• [cs.NE]Quality Diversity for Multi-task Optimization
• [cs.NI]Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory
• [cs.PF]Benchmarking TinyML Systems: Challenges and Direction
• [cs.PF]In Datacenter Performance, The Only Constant Is Change
• [cs.PL]Differentiate Everything with a Reversible Programming Language
• [cs.RO]3D printed cable-driven continuum robots with generally routed cables: modeling and experiments
• [cs.RO]ASV-Swarm: a high-performance simulator for the dynamics of a swarm of autonomous marine vehicles in waves
• [cs.RO]CMetric: A Driving Behavior Measure Using Centrality Functions
• [cs.RO]Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors
• [cs.RO]Learning a generative model for robot control using visual feedback
• [cs.RO]LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic
• [cs.RO]Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance
• [cs.RO]Low-viewpoint forest depth dataset for sparse rover swarms
• [cs.RO]Optimization-Based Hierarchical Motion Planning for Autonomous Racing
• [cs.RO]Planning and Execution using Inaccurate Models with Provable Guarantees
• [cs.RO]Reconstruction of 3D flight trajectories from ad-hoc camera networks
• [cs.RO]Signal-based self-organization of a chain of UAVs for subterranean exploration
• [cs.RO]UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown
• [cs.RO]UWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset
• [cs.RO]Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network
• [cs.RO]Whole-Body Walking Generation using Contact Parametrization: A Non-Linear Trajectory Optimization Approach
• [cs.SI]Machine Learning-based Approach for Depression Detection in Twitter Using Content and Activity Features
• [cs.SI]Neighborhood Information-based Probabilistic Algorithm for Network Disintegration
• [cs.SI]Sampling on networks: estimating spectral centrality measures and their impact in evaluating other relevant network measures
• [eess.IV]Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
• [eess.IV]Computer Aided Diagnosis for Spitzoid lesions classification using Artificial Intelligence techniques
• [eess.IV]Spine intervertebral disc labeling using a fully convolutional redundant counting model
• [eess.IV]TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
• [eess.SP]Advancing Renewable Electricity Consumption With Reinforcement Learning
• [eess.SP]Reinforcement Learning for Mitigating Intermittent Interference in Terahertz Communication Networks
• [eess.SP]UPR: A Model-Driven Architecture for Deep Phase Retrieval
• [hep-th]Explore and Exploit with Heterotic Line Bundle Models
• [math.AT]Topological Machine Learning for Mixed Numeric and Categorical Data
• [math.NA]A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics
• [math.ST]Estimating multi-index models with response-conditional least squares
• [math.ST]Exact Solutions in Log-Concave Maximum Likelihood Estimation
• [math.ST]Interactive versus non-interactive locally, differentially private estimation: Two elbows for the quadratic functional
• [math.ST]On frequentist coverage of Bayesian credible sets for estimation of the mean under constraints
• [math.ST]Strong mixing condition for Hawkes processes and application to Whittle estimation from count data
• [physics.comp-ph]Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks
• [physics.ed-ph]Combining surveys and sensors to explore student behaviour
• [quant-ph]Quantum-Message-Passing Receiver for Quantum-Enhanced Classical Communications
• [stat.AP]Flexible random-effects distribution models for meta-analysis
• [stat.AP]Modeling Multiscale Variable Renewable Energy and Inflow Scenarios in Very Large Regions with Nonparametric Bayesian Networks
• [stat.CO]Moving Target Monte Carlo
• [stat.ME]A Pairwise Hotelling Method for Testing High-Dimensional Mean Vectors
• [stat.ME]A different perspective of cross-world independence assumption and the utility of natural effects versus controlled effects
• [stat.ME]Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series
• [stat.ME]Least Squares Estimation of a Monotone Quasiconvex Regression Function
• [stat.ME]Multivariate Functional Regression via Nested Reduced-Rank Regularization
• [stat.ME]Pursuing Sources of Heterogeneity in Modeling Clustered Population
• [stat.ML]ENTMOOT: A Framework for Optimization over Ensemble Tree Models
• [stat.ML]Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
• [stat.ML]Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time
• [stat.ML]Variational Learning of Individual Survival Distributions
• [stat.OT]Anna Karenina and The Two Envelopes Problem
·····································
• [astro-ph.EP]Revisiting distribution laws for orbital characteristics of Jupiter’s moons
Fabao Gao, Xia Liu
http://arxiv.org/abs/2003.04851v1
• [astro-ph.EP]Revisiting the distributions of the physical characteristics of Jupiter’s irregular moons
Fabao Gao, Xin Liu
http://arxiv.org/abs/2003.04810v1
• [astro-ph.GA]A Catalogue of Locus Algorithm Pointings for Optimal Differential Photometry for 23,779 Quasars
Oisín Creaner, Kevin Nolan, David Grennan, Niall Smith, Eugene Hickey
http://arxiv.org/abs/2003.04590v1
• [astro-ph.IM]The Locus Algorithm II: A robust software system to maximise the quality of fields of view for Differential Photometry
Kevin Nolan, Eugene Hickey, Oisín Creaner
http://arxiv.org/abs/2003.04574v1
• [astro-ph.IM]The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry
Oisń Creaner, Kevin Nolan, John Walsh, Eugene Hickey
http://arxiv.org/abs/2003.04565v1
• [cond-mat.stat-mech]On the coexistence of competing languages
Jean-Marc Luck, Anita Mehta
http://arxiv.org/abs/2003.04748v1
• [cs.AI]A Comparative Study on Parameter Estimation in Software Reliability Modeling using Swarm Intelligence
Najla Akram AL-Saati, Marrwa Abd-AlKareem Alabajee
http://arxiv.org/abs/2003.04770v1
• [cs.AI]Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning
Songyang Han, Fei Miao
http://arxiv.org/abs/2003.04371v1
• [cs.AI]Containment of Simple Regular Path Queries
Diego Figueira, Adwait Godbole, S. Krishna, Wim Martens, Matthias Niewerth, Tina Trautner
http://arxiv.org/abs/2003.04411v1
• [cs.AI]Convex Hull Monte-Carlo Tree Search
Michael Painter, Bruno Lacerda, Nick Hawes
http://arxiv.org/abs/2003.04445v1
• [cs.AI]Ecological Semantics: Programming Environments for Situated Language Understanding
Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty
http://arxiv.org/abs/2003.04567v1
• [cs.AI]Exploring Unknown States with Action Balance
Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan
http://arxiv.org/abs/2003.04518v1
• [cs.AI]MQA: Answering the Question via Robotic Manipulation
Yuhong Deng, Naifu Zhang, Di Guo, Huaping Liu, Fuchun Sun, Chen Pang, Jing Pang
http://arxiv.org/abs/2003.04641v1
• [cs.AI]Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data
Yanou Ramon, David Martens, Theodoros Evgeniou, Stiene Praet
http://arxiv.org/abs/2003.04792v1
• [cs.AI]Neuro-symbolic Architectures for Context Understanding
Alessandro Oltramari, Jonathan Francis, Cory Henson, Kaixin Ma, Ruwan Wickramarachchi
http://arxiv.org/abs/2003.04707v1
• [cs.CL]A Framework for Evaluation of Machine Reading Comprehension Gold Standards
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
http://arxiv.org/abs/2003.04642v1
• [cs.CL]Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo
http://arxiv.org/abs/2003.04419v1
• [cs.CL]Efficient Intent Detection with Dual Sentence Encoders
Iñigo Casanueva, Tadas Temčinas, Daniela Gerz, Matthew Henderson, Ivan Vulić
http://arxiv.org/abs/2003.04807v1
• [cs.CL]Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog
Shen Gao, Xiuying Chen, Chang Liu, Li Liu, Dongyan Zhao, Rui Yan
http://arxiv.org/abs/2003.04679v1
• [cs.CL]Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
Ivan Vulić, Simon Baker, Edoardo Maria Ponti, Ulla Petti, Ira Leviant, Kelly Wing, Olga Majewska, Eden Bar, Matt Malone, Thierry Poibeau, Roi Reichart, Anna Korhonen
http://arxiv.org/abs/2003.04866v1
• [cs.CL]Video Caption Dataset for Describing Human Actions in Japanese
Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi
http://arxiv.org/abs/2003.04865v1
• [cs.CV]3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
Kaixuan Wei, Ying Fu, Hua Huang
http://arxiv.org/abs/2003.04547v1
• [cs.CV]A New Meta-Baseline for Few-Shot Learning
Yinbo Chen, Xiaolong Wang, Zhuang Liu, Huijuan Xu, Trevor Darrell
http://arxiv.org/abs/2003.04390v1
• [cs.CV]AP-MTL: Attention Pruned Multi-t
3a2f
ask Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery
Mobarakol Islam, Vibashan VS, Hongliang Ren
http://arxiv.org/abs/2003.04769v1
• [cs.CV]Channel Pruning via Optimal Thresholding
Yun Ye, Ganmei You, Jong-Kae Fwu, Xia Zhu, Qing Yang, Yuan Zhu
http://arxiv.org/abs/2003.04566v1
• [cs.CV]Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Adam Kortylewski, Ju He, Qing Liu, Alan Yuille
http://arxiv.org/abs/2003.04490v1
• [cs.CV]Context-Aware Domain Adaptation in Semantic Segmentation
Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang
http://arxiv.org/abs/2003.04010v1
• [cs.CV]Convolutional Occupancy Networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger
http://arxiv.org/abs/2003.04618v1
• [cs.CV]Crossmodal learning for audio-visual speech event localization
Rahul Sharma, Krishna Somandepalli, Shrikanth Narayanan
http://arxiv.org/abs/2003.04358v1
• [cs.CV]Deep Blind Video Super-resolution
Jinshan Pan, Songsheng Cheng, Jiawei Zhang, Jinhui Tang
http://arxiv.org/abs/2003.04716v1
• [cs.CV]Deep Hough Transform for Semantic Line Detection
Qi Han, Kai Zhao, Jun Xu, Mingg-Ming Cheng
http://arxiv.org/abs/2003.04676v1
• [cs.CV]Deep learning approach for breast cancer diagnosis
Essam A. Rashed, M. Samir Abou El Seoud
http://arxiv.org/abs/2003.04480v1
• [cs.CV]Domain-Specific Image Super-Resolution with Progressive Adversarial Network
Lone Wong, Deli Zhao, Shaohua Wan, Bo Zhang
http://arxiv.org/abs/2003.03756v2
• [cs.CV]Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo
http://arxiv.org/abs/2003.04719v1
• [cs.CV]DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation
Chenjie Wang, Bin Luo, Yun Zhang, Qing Zhao, Lu Yin, Wei Wang, Xin Su, Yajun Wang, Chengyuan Li
http://arxiv.org/abs/2003.04569v1
• [cs.CV]FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas Huang, Terrence Chen
http://arxiv.org/abs/2003.04492v1
• [cs.CV]Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo
http://arxiv.org/abs/2003.03836v2
• [cs.CV]FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks
Ruochen Yin, Biao Yu, Huapeng Wu, Yutao Song, Runxin Niu
http://arxiv.org/abs/2003.04404v1
• [cs.CV]HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
Johan Vertens, Jannik Zürn, Wolfram Burgard
http://arxiv.org/abs/2003.04645v1
• [cs.CV]Hierarchical Human Parsing with Typed Part-Relation Reasoning
Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao
http://arxiv.org/abs/2003.04845v1
• [cs.CV]Hierarchical Neural Architecture Search for Single Image Super-Resolution
Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen
http://arxiv.org/abs/2003.04619v1
• [cs.CV]Image Restoration for Under-Display Camera
Yuqian Zhou, David Ren, Neil Emerton, Sehoon Lim, Timothy Large
http://arxiv.org/abs/2003.04857v1
• [cs.CV]Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis
K. Palani Thanaraj, B. Parvathavarthini, U. John Tanik, V. Rajinikanth, Seifedine Kadry, K. Kamalanand
http://arxiv.org/abs/
7ee1
/2003.04534v1
7ee1
/2003.04534v1)
• [cs.CV]Incremental Few-Shot Object Detection
Juan-Manuel Perez-Rua, Xiatian Zhu, Timothy Hospedales, Tao Xiang
http://arxiv.org/abs/2003.04668v1
• [cs.CV]Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang
http://arxiv.org/abs/2003.04614v1
• [cs.CV]Learning Delicate Local Representations for Multi-Person Pose Estimation
Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xinyu Zhou, Erjin Zhou, Xiangyu Zhang, Jian Sun
http://arxiv.org/abs/2003.04030v2
• [cs.CV]Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
Fei Shan+, Yaozong Gao+, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi
http://arxiv.org/abs/2003.04655v1
• [cs.CV]Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo
http://arxiv.org/abs/2003.03787v2
• [cs.CV]Multi-Scale Superpatch Matching using Dual Superpixel Descriptors
Rémi Giraud, Merlin Boyer, Michaël Clément
http://arxiv.org/abs/2003.04428v1
• [cs.CV]Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov
http://arxiv.org/abs/2003.04772v1
• [cs.CV]Off-Road Drivable Area Extraction Using 3D LiDAR Data
Biao Gao, Anran Xu, Yancheng Pan, Xijun Zhao, Wen Yao, Huijing Zhao
http://arxiv.org/abs/2003.04780v1
• [cs.CV]PANDA: A Gigapixel-level Human-centric Video Dataset
Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J Brady, Qionghai Dai, Lu Fang
http://arxiv.org/abs/2003.04852v1
• [cs.CV]PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy
Li Xiao, Yufan Luo, Chunlong Luo, Lianhe Zhao, Quanshui Fu, Guoqing Yang, Anpeng Huang, Yi Zhao
http://arxiv.org/abs/2003.04541v1
• [cs.CV]PnP-Net: A hybrid Perspective-n-Point Network
Roy Sheffer, Ami Wiesel
http://arxiv.org/abs/2003.04626v1
• [cs.CV]Rainy screens: Collecting rainy datasets, indoors
Horia Porav, Valentina-Nicoleta Musat, Tom Bruls, Paul Newman
http://arxiv.org/abs/2003.04742v1
• [cs.CV]Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class
Xi Li, Huimin Ma, Sheng Yi, Yanxian Chen
http://arxiv.org/abs/2003.04671v1
• [cs.CV]Restore from Restored: Single Image Denoising with Pseudo Clean Image
Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
http://arxiv.org/abs/2003.04721v1
• [cs.CV]SAD: Saliency-based Defenses Against Adversarial Examples
Richard Tran, David Patrick, Michael Geyer, Amanda Fernandez
http://arxiv.org/abs/2003.04820v1
• [cs.CV]SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles
Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
http://arxiv.org/abs/2003.04447v1
• [cs.CV]Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection
Hyunjun Eun, Daeyeong Kim, Chanho Jung, Changick Kim
http://arxiv.org/abs/2003.04454v1
• [cs.CV]Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching
Rémi Giraud, Yannick Berthoumieu
http://arxiv.org/abs/2003.04414v1
• [cs.CV]The Virtual Tailor: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll
http://arxiv.org/abs/2003.04583v1
• [cs.CV]Tracking Road Users using Constraint Programming
Alexandre Pineault, Guillaume-Alexandre Bilodeau, Gilles Pesant
http://arxiv.org/abs/2003.04468v1
• [cs.CV]Unpaired Image-to-Image Translation using Adversarial Consistency Loss
Yihao Zhao, Ruihai Wu, Hao Dong
http://arxiv.org/abs/2003.04858v1
• [cs.CY]Smart City IoT Services Creation through Large Scale Collaboration
Flavio Cirillo, David Gómez, Luis Diez, Ignacio Elicegui Maestro, Thomas Barrie Juel Gilbert, Reza Akhavan
http://arxiv.org/abs/2003.04843v1
• [cs.DB]Data Warehouse and Decision Support on Integrated Crop Big Data
V. M. Ngo, N. A. Le-Khac, M. T. Kechadi
http://arxiv.org/abs/2003.04470v1
• [cs.DB]Probabilistic Partitive Partitioning (PPP)
Mujahid Sultan
http://arxiv.org/abs/2003.04372v1
• [cs.DC]Distributed Submodular Maximization with Parallel Execution
Haoyuan Sun, David Grimsman, Jason R Marden
http://arxiv.org/abs/2003.04364v1
• [cs.DC]HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization
Wonkyung Jung, Eojin Lee, Sangpyo Kim, Keewoo Lee, Namhoon Kim, Chohong Min, Jung Hee Cheon, Jung Ho Ahn
http://arxiv.org/abs/2003.04510v1
• [cs.DC]Optimizations to the Parallel Breath First Search on Distributed Memory
Anuj Sharma, Syed Mohammed Arshad Zaidi
http://arxiv.org/abs/2003.04826v1
• [cs.GR]Enabling Viewpoint Learning through Dynamic Label Generation
Michael Schelling, Pedro Hermosilla, Pere-Pau Vazquez, Timo Ropinski
http://arxiv.org/abs/2003.04651v1
• [cs.HC]Supporting the Supporters of Unaccompanied Migrant Youth: Designing for Social-ecological Resilience
Franziska Tachtler, Toni Michel, Petr Slovák, Geraldine Fitzpatrick
http://arxiv.org/abs/2003.04799v1
• [cs.IR]Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation
Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld
http://arxiv.org/abs/2003.04315v1
• [cs.IR]Large-Scale Evaluation of Keyphrase Extraction Models
Ygor Gallina, Florian Boudin, Béatrice Daille
http://arxiv.org/abs/2003.04628v1
• [cs.IT]An Optimal Condition of Robust Low-rank Matrices Recovery
Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang
http://arxiv.org/abs/2003.04766v1
• [cs.IT]Finite-Length Scaling of Spatially Coupled LDPC Codes Under Window Decoding Over the BEC
Roman Sokolovskii, Alexandre Graell i Amat, Fredrik Brännström
http://arxiv.org/abs/2003.04421v1
• [cs.IT]Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
Dingzhu Wen, Mehdi Bennis, Kaibin Huang
http://arxiv.org/abs/2003.04544v1
• [cs.IT]On a Class of Markov Order Estimators Based on PPM and Other Universal Codes
Łukasz Dębowski
http://arxiv.org/abs/2003.04754v1
• [cs.IT]Performance Analysis of NOMA Uplink Networks under Statistical QoS Delay Constraints
Mouktar Bello, Wenjuan Yu, Arsenia Chorti, Leila Musavian
http://arxiv.org/abs/2003.04758v1
• [cs.IT]Treating Interference as Noise is Optimal for Covert Communication over Interference Channels
Kang-Hee Cho, Si-Hyeon Lee
http://arxiv.org/abs/2003.04531v1
• [cs.LG]Addressing multiple metrics of group fairness in data-driven decision making
Marius Miron, Songül Tolan, Emilia Gómez, Carlos Castillo
http://arxiv.org/abs/2003.04794v1
• [cs.LG]An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
http://arxiv.org/abs/2003.04819v1
• [cs.LG]An Exact Transformation from Deep Neural Networks to Multi-Class Multivariate Decision Trees
Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass
http://arxiv.org/abs/2003.04675v1
• [cs.LG]Anomaly Detection in Beehives using Deep Recurrent Autoencoders
Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho
http://arxiv.org/abs/2003.04576v1
• [cs.LG]Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
http://arxiv.org/abs/2003.04664v1
• [cs.LG]Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology
Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo
http://arxiv.org/abs/2003.04575v1
• [cs.LG]Closure Properties for Private Classification and Online Prediction
Noga Alon, Amos Beimel, Shay Moran, Uri Stemmer
http://arxiv.org/abs/2003.04509v1
• [cs.LG]Communication-efficient Variance-reduced Stochastic Gradient Descent
Hossein S. Ghadikolaei, Sindri Magnusson
http://arxiv.org/abs/2003.04686v1
• [cs.LG]Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
http://arxiv.org/abs/2003.04382v1
• [cs.LG]Correlated Initialization for Correlated Data
Johannes Schneider
http://arxiv.org/abs/2003.04422v1
• [cs.LG]Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini, Matthew Jagielski, Ilya Mironov
http://arxiv.org/abs/2003.04884v1
• [cs.LG]DIBS: Diversity inducing Information Bottleneck in Model Ensembles
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
http://arxiv.org/abs/2003.04514v1
• [cs.LG]Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoff Gordon
http://arxiv.org/abs/2003.04475v1
• [cs.LG]Frequency Bias in Neural Networks for Input of Non-Uniform Density
Ronen Basri, Meirav Galun, Amnon Geifman, David Jacobs, Yoni Kasten, Shira Kritchman
http://arxiv.org/abs/2003.04560v1
• [cs.LG]Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency
Rui Zhang, Yunxing Zhang, Xuelong Li
http://arxiv.org/abs/2003.04508v1
• [cs.LG]Lagrangian Neural Networks
Miles Cranmer, Sam Greydanus, Stephan Hoyer, Peter Battaglia, David Spergel, Shirley Ho
http://arxiv.org/abs/2003.04630v1
• [cs.LG]Learning to be Global Optimizer
Haotian Zhang, Jianyong Sun, Zongben Xu
http://arxiv.org/abs/2003.04521v1
• [cs.LG]Online Tensor-Based Learning for Multi-Way Data
Ali Anaissi, Basem Suleiman, Seid Miad Zandavi
http://arxiv.org/abs/2003.04497v1
• [cs.LG]ReZero is All You Need: Fast Convergence at Large Depth
Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Garrison W. Cottrell, Julian McAuley
http://arxiv.org/abs/2003.04887v1
• [cs.LG]Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives
Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang
http://arxiv.org/abs/2003.04339v1
• [cs.LG]Set-Structured Latent Representations
Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin Benson
http://arxiv.org/abs/2003.04448v1
• [cs.LG]Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models
Ki Hyun Tae, Steven Euijong Whang
http://arxiv.org/abs/2003.04549v1
• [cs.LG]Transfer Reinforcement Learning under Unobserved Contextual Information
Yan Zhang, Michael M. Zavlanos
http://arxiv.org/abs/2003.04427v1
• [cs.MA]JS-son — A Lean, Extensible JavaScript Agent Programming Library
Timotheus Kampik, Juan Carlos Nieves
http://arxiv.org/abs/2003.04690v1
• [cs.MS]Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencils
Carl Christian Kjelgaard Mikkelsen, Mirko Myllykoski
http://arxiv.org/abs/2003.04776v1
• [cs.NE]Automating Representation Discovery with MAP-Elites
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
http://arxiv.org/abs/2003.04389v1
• [cs.NE]Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle
Zhenshan Bing, Claus Meschede, Guang Chen, Alois Knoll, Kai Huang
http://arxiv.org/abs/2003.04603v1
• [cs.NE]Neural Networks are Surprisingly Modular
Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
http://arxiv.org/abs/2003.04881v1
• [cs.NE]Quality Diversity for Multi-task Optimization
Jean-Baptiste Mouret, Glenn Maguire
http://arxiv.org/abs/2003.04407v1
• [cs.NI]Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory
Hamid Shiri, Jihong Park, Mehdi Bennis
http://arxiv.org/abs/2003.04451v1
• [cs.PF]Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav
http://arxiv.org/abs/2003.04821v1
• [cs.PF]In Datacenter Performance, The Only Constant Is Change
Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci
http://arxiv.org/abs/2003.04824v1
• [cs.PL]Differentiate Everything with a Reversible Programming Language
Jin-Guo Liu, Taine Zhao
http://arxiv.org/abs/2003.04617v1
• [cs.RO]3D printed cable-driven continuum robots with generally routed cables: modeling and experiments
Soumya Kanti Mahapatra, Ashwin K. P., Ashitava Ghosal
http://arxiv.org/abs/2003.04593v1
• [cs.RO]ASV-Swarm: a high-performance simulator for the dynamics of a swarm of autonomous marine vehicles in waves
Toby Thomas, David M. Bossens, Danesh Tarapore
http://arxiv.org/abs/2003.04599v1
• [cs.RO]CMetric: A Driving Behavior Measure Using Centrality Functions
Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, Dinesh Manocha
http://arxiv.org/abs/2003.04424v1
• [cs.RO]Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors
Rituraj Kaushik, Timothée Anne, Jean-Baptiste Mouret
http://arxiv.org/abs/2003.04663v1
• [cs.RO]Learning a generative model for robot control using visual feedback
Nishad Gothoskar, Miguel Lázaro-Gredilla, Abhishek Agarwal, Yasemin Bekiroglu, Dileep George
http://arxiv.org/abs/2003.04474v1
• [cs.RO]LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic
Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman
http://arxiv.org/abs/2003.04708v1
• [cs.RO]Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance
Matthew Gadd, Daniele De Martini, Paul Newman
http://arxiv.org/abs/2003.04699v1
• [cs.RO]Low-viewpoint forest depth dataset for sparse rover swarms
Chaoyue Niu, Danesh Tarapore, Klaus-Peter Zauner
http://arxiv.org/abs/2003.04359v1
• [cs.RO]Optimization-Based Hierarchical Motion Planning for Autonomous Racing
José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros
http://arxiv.org/abs/2003.04882v1
• [cs.RO]Planning and Execution using Inaccurate Models with Provable Guarantees
Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev
http://arxiv.org/abs/2003.04394v1
• [cs.RO]Reconstruction of 3D flight trajectories from ad-hoc camera networks
Jingtong Li, Jesse Murray, Dorina Ismaili, Konrad Schindler, Cenek Albl
http://arxiv.org/abs/2003.04784v1
• [cs.RO]Signal-based self-organization of a chain of UAVs for subterranean exploration
Pierre Laclau, Vladislav Tempez, Franck Ruffier, Enrico Natalizio, Jean-Baptiste Mouret
http://arxiv.org/abs/2003.04409v1
• [cs.RO]UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown
Daniel Duberg, Patric Jensfelt
http://arxiv.org/abs/2003.04749v1
• [cs.RO]UWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset
Jorge Peña Queralta, Carmen Martínez Almansa, Fabrizio Schiano, Dario Floreano, Tomi Westerlund
http://arxiv.org/abs/2003.04380v1
• [cs.RO]Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network
Kanata Suzuki, Hiroki Mori, Tetsuya Ogata
http://arxiv.org/abs/2003.04862v1
• [cs.RO]Whole-Body Walking Generation using Contact Parametrization: A Non-Linear Trajectory Optimization Approach
Stefano Dafarra, Giulio Romualdi, Giorgio Metta, Daniele Pucci
http://arxiv.org/abs/2003.04633v1
• [cs.SI]Machine Learning-based Approach for Depression Detection in Twitter Using Content and Activity Features
Hatoon S. AlSagri, Mourad Ykhlef
http://arxiv.org/abs/2003.04763v1
• [cs.SI]Neighborhood Information-based Probabilistic Algorithm for Network Disintegration
Qian Li, San-Yang Liu, Xin-She Yang
http://arxiv.org/abs/2003.04713v1
• [cs.SI]Sampling on networks: estimating spectral centrality measures and their impact in evaluating other relevant network measures
Nicolò Ruggeri, Caterina De Bacco
http://arxiv.org/abs/2003.04823v1
• [eess.IV]Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
Olivier Vincent, Charley Gros, Joseph Paul Cohen, Julien Cohen-Adad
http://arxiv.org/abs/2003.04377v1
• [eess.IV]Computer Aided Diagnosis for Spitzoid lesions classification using Artificial Intelligence techniques
Abir Belaala, Labib Sadek, Noureddine Zerhouni, Christine Devalland
http://arxiv.org/abs/2003.04745v1
• [eess.IV]Spine intervertebral disc labeling using a fully convolutional redundant counting model
Lucas Rouhier, Francisco Perdigon Romero, Joseph Paul Cohen, Julien Cohen-Adad
http://arxiv.org/abs/2003.04387v1
• [eess.IV]TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García, Rachel Sparks, Sebastien Ourselin
http://arxiv.org/abs/2003.04696v1
• [eess.SP]Advancing Renewable Electricity Consumption With Reinforcement Learning
Filip Tolovski
http://arxiv.org/abs/2003.04310v1
• [eess.SP]Reinforcement Learning for Mitigating Intermittent Interference in Terahertz Communication Networks
Reza Barazideh, Omid Semiari, Solmaz Niknam, Balasubramaniam Natarajan
http://arxiv.org/abs/2003.04832v1
• [eess.SP]UPR: A Model-Driven Architecture for Deep Phase Retrieval
Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian
http://arxiv.org/abs/2003.04396v1
• [hep-th]Explore and Exploit with Heterotic Line Bundle Models
Magdalena Larfors, Robin Schneider
http://arxiv.org/abs/2003.04817v1
• [math.AT]Topological Machine Learning for Mixed Numeric and Categorical Data
Chengyuan Wu, Carol Anne Hargreaves
http://arxiv.org/abs/2003.04584v1
• [math.NA]A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics
Tsubasa Sakai, Shuhei Kudo, Hiroto Imachi, Yuto Miyatake, Takeo Hoshi, Yusaku Yamamoto
http://arxiv.org/abs/2003.04345v1
• [math.ST]Estimating multi-index models with response-conditional least squares
Timo Klock, Alessandro Lanteri, Stefano Vigogna
http://arxiv.org/abs/2003.04788v1
• [math.ST]Exact Solutions in Log-Concave Maximum Likelihood Estimation
Alexandros Grosdos, Alexander Heaton, Kaie Kubjas, Olga Kuznetsova, Georgy Scholten, Miruna-Stefana Sorea
http://arxiv.org/abs/2003.04840v1
• [math.ST]Interactive versus non-interactive locally, differentially private estimation: Two elbows for the quadratic functional
Cristina Butucea, Angelika Rohde, Lukas Steinberger
http://arxiv.org/abs/2003.04773v1
• [math.ST]On frequentist coverage of Bayesian credible sets for estimation of the mean under constraints
Kevin Duisters, Johannes Schmidt-Hieber
http://arxiv.org/abs/2003.04406v1
• [math.ST]Strong mixing condition for Hawkes processes and application to Whittle estimation from count data
Felix Cheysson, Gabriel Lang
http://arxiv.org/abs/2003.04314v1
• [physics.comp-ph]Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks
Sebastian J. Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh
http://arxiv.org/abs/2003.04299v2
• [physics.ed-ph]Combining surveys and sensors to explore student behaviour
Inkeri Kontro, Mathieu Génois
http://arxiv.org/abs/2003.04137v2
• [quant-ph]Quantum-Message-Passing Receiver for Quantum-Enhanced Classical Communications
Narayanan Rengaswamy, Kaushik P. Seshadreesan, Saikat Guha, Henry D. Pfister
http://arxiv.org/abs/2003.04356v1
• [stat.AP]Flexible random-effects distribution models for meta-analysis
Hisashi Noma, Kengo Nagashima, Shogo Kato, Satoshi Teramukai, Toshi A. Furukawa
http://arxiv.org/abs/2003.04598v1
• [stat.AP]Modeling Multiscale Variable Renewable Energy and Inflow Scenarios in Very Large Regions with Nonparametric Bayesian Networks
Julio Alberto Dias, Guilherme Machado, Alessandro Soares, Joaquim Dias Garcia
http://arxiv.org/abs/2003.04855v1
• [stat.CO]Moving Target Monte Carlo
Haoyun Ying, Keheng Mao, Klaus Mosegaard
http://arxiv.org/abs/2003.04873v1
• [stat.ME]A Pairwise Hotelling Method for Testing High-Dimensional Mean Vectors
Zongliang Hu, Tiejun Tong, Marc G. Genton
http://arxiv.org/abs/2003.04636v1
• [stat.ME]A different perspective of cross-world independence assumption and the utility of natural effects versus controlled effects
Ian Shrier, Etsuji Suzuki
http://arxiv.org/abs/2003.04854v1
• [stat.ME]Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series
Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher, James M. Shine, Joseph T. Lizier
http://arxiv.org/abs/2003.03887v2
• [stat.ME]Least Squares Estimation of a Monotone Quasiconvex Regression Function
Somabha Mukherjee, Rohit K. Patra, Andrew L. Johnson, Hiroshi Morita
http://arxiv.org/abs/2003.04433v1
• [stat.ME]Multivariate Functional Regression via Nested Reduced-Rank Regularization
Xiaokang Liu, Shujie Ma, Kun Chen
http://arxiv.org/abs/2003.04786v1
• [stat.ME]Pursuing Sources of Heterogeneity in Modeling Clustered Population
Yan Li, Chun Yu, Yize Zhao, Robert H. Aseltine, Weixin Yao, Kun Chen
http://arxiv.org/abs/2003.04787v1
• [stat.ML]ENTMOOT: A Framework for Optimization over Ensemble Tree Models
Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener
http://arxiv.org/abs/2003.04774v1
• [stat.ML]Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su
http://arxiv.org/abs/2003.04493v1
• [stat.ML]Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time
Hideaki Imamura, Nontawat Charoenphakdee, Futoshi Futami, Issei Sato, Junya Honda, Masashi Sugiyama
http://arxiv.org/abs/2003.04691v1
• [stat.ML]Variational Learning of Individual Survival Distributions
Zidi Xiu, Chenyang Tao, Ricardo Henao
http://arxiv.org/abs/2003.04430v1
• [stat.OT]Anna Karenina and The Two Envelopes Problem
R. D. Gill
http://arxiv.org/abs/2003.04008v2
若有收获，就点个赞吧
0 人点赞
