astro-ph.CO - 宇宙学和天体物理学
astro-ph.IM - 仪器仪表和天体物理学方法 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-lat - 高能物理晶格 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-fin.PM - 投资组合管理 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
• [astro-ph.CO]Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel’dovich Effect
• [astro-ph.IM]Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions
• [cs.AI]A Survey of End-to-End Driving: Architectures and Training Methods
• [cs.AI]Accelerating and Improving AlphaZero Using Population Based Training
• [cs.AI]Efficient Rule Learning with Template Saturation for Knowledge Graph Completion
• [cs.AI]Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning
• [cs.CL]Know thy corpus! Robust methods for digital curation of Web corpora
• [cs.CL]Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition
• [cs.CL]MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
• [cs.CL]Review-guided Helpful Answer Identification in E-commerce
• [cs.CL]Sentence Level Human Translation Quality Estimation with Attention-based Neural Networks
• [cs.CL]Using word embeddings to improve the discriminability of co-occurrence text networks
• [cs.CL]WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection
• [cs.CR]Automating Botnet Detection with Graph Neural Networks
• [cs.CV]A Spatial-Temporal Attentive Network with Spatial Continuity for Trajectory Prediction
• [cs.CV]Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
• [cs.CV]Analyzing Visual Representations in Embodied Navigation Tasks
• [cs.CV]Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers
• [cs.CV]BIHL:A Fast and High Performance Object Proposals based on Binarized HL Frequency
• [cs.CV]Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
• [cs.CV]BigGAN-based Bayesian reconstruction of natural images from human brain activity
• [cs.CV]Deep Domain-Adversarial Image Generation for Domain Generalisation
• [cs.CV]Dual Temporal Memory Network for Efficient Video Object Segmentation
• [cs.CV]Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues
• [cs.CV]Gimme Signals: Discriminative signal encoding for multimodal activity recognition
• [cs.CV]Harmonizing Transferability and Discriminability for Adapting Object Detectors
• [cs.CV]Interaction Graphs for Object Importance Estimation in On-road Driving Videos
• [cs.CV]Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?
• [cs.CV]LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
• [cs.CV]Partial Weight Adaptation for Robust DNN Inference
• [cs.CV]PointINS: Point-based Instance Segmentation
• [cs.CV]Probabilistic Future Prediction for Video Scene Understanding
• [cs.CV]Pyramidal Edge-maps based Guided Thermal Super-resolution
• [cs.CV]Semantic Pyramid for Image Generation
• [cs.CY]Large-Scale Educational Question Analysis with Partial Variational Auto-encoders
• [cs.DC]A Fault-Tolerance Shim for Serverless Computing
• [cs.DC]Characterizing Optimizations to Memory Access Patterns using Architecture-Independent Program Features
• [cs.DC]On Exploiting Transaction Concurrency To Speed Up Blockchains
• [cs.HC]CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues
• [cs.IR]Tracing patients’ PLOD with mobile phones: Mitigation of epidemic risks through patients’ locational open data
• [cs.IT]Non Orthogonal Multiple Access with Orthogonal Time Frequency Space Signal Transmission
• [cs.LG]A General Framework for Learning Mean-Field Games
• [cs.LG]Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
• [cs.LG]Autoencoders
• [cs.LG]Balancedness and Alignment are Unlikely in Linear Neural Networks
• [cs.LG]Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study
• [cs.LG]Coronary Artery Segmentation from Intravascular Optical Coherence Tomography Using Deep Capsules
• [cs.LG]Dynamic transformation of prior knowledge intoBayesian models for data streams
• [cs.LG]Graph Convolutional Topic Model for Data Streams
• [cs.LG]Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning
• [cs.LG]Interference and Generalization in Temporal Difference Learning
• [cs.LG]Invariant Causal Prediction for Block MDPs
• [cs.LG]Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach
• [cs.LG]Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach
• [cs.LG]Minor Constraint Disturbances for Deep Semi-supervised Learning
• [cs.LG]Model Agnostic Multilevel Explanations
• [cs.LG]On the effectiveness of convolutional autoencoders on image-based personalized recommender systems
• [cs.LG]Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft
• [cs.LG]Sparse Graphical Memory for Robust Planning
• [cs.LG]Taylor Expansion Policy Optimization
• [cs.LG]Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
• [cs.LG]Wasserstein-based Graph Alignment
• [cs.LG]What Information Does a ResNet Compress?
• [cs.LG]When are Non-Parametric Methods Robust?
• [cs.LG]Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
• [cs.RO]Action for Better Prediction
• [cs.RO]Computationally Efficient Obstacle Avoidance Trajectory Planner for UAVs Based on Heuristic Angular Search Method
• [cs.RO]Geometry-aware Dynamic Movement Primitives
• [cs.RO]Human Grasp Classification for Reactive Human-to-Robot Handovers
• [cs.RO]LIBRE: The Multiple 3D LiDAR Dataset
• [cs.RO]Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
• [cs.RO]Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps
• [cs.RO]Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis
• [cs.SI]NesTPP: Modeling Thread Dynamics in Online Discussion Forums
• [cs.SI]Snapshot Samplings of the Bitcoin Transaction Network and Analysis of Cryptocurrency Growth
• [econ.EM]Targeting Customers under Response-Dependent Costs
• [eess.IV]Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
• [eess.IV]Estimation of Rate Control Parameters for Video Coding Using CNN
• [eess.IV]Random smooth gray value transformations for cross modality learning with gray value invariant networks
• [eess.SP]A Power-Efficient Binary-Weight Spiking Neural Network Architecture for Real-Time Object Classification
• [eess.SP]RSSI-Based Hybrid Beamforming Design with Deep Learning
• [eess.SY]Data Set Description: Identifying the Physics Behind an Electric Motor — Data-Driven Learning of the Electrical Behavior (Part II)
• [eess.SY]Identification of AC Networks via Online Learning
• [eess.SY]Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach
• [eess.SY]SIS Epidemic Model under Mobility on Multi-layer Networks
• [hep-lat]Equivariant flow-based sampling for lattice gauge theory
• [math.OC]Boosting Frank-Wolfe by Chasing Gradients
• [math.OC]Communication Efficient Sparsification for Large Scale Machine Learning
• [math.ST]Existence and Uniqueness of the Kronecker Covariance MLE
• [math.ST]SVM Learning Rates for Data with Low Intrinsic Dimension
• [math.ST]Statistical Inference for High Dimensional Panel Functional Time Series
• [physics.soc-ph]The impact of incorrect social information on collective wisdom in human groups
• [q-fin.PM]Application of Deep Q-Network in Portfolio Management
• [stat.AP]A Note on Early Epidemiological Analysis of Coronavirus Disease 2019 Outbreak using Crowdsourced Data
• [stat.AP]Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
• [stat.AP]Power and Sample Size for Marginal Structural Models
• [stat.AP]Spatial multiresolution analysis approach to identify crash hotspots and estimate crash risk
• [stat.CO]Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage
• [stat.ME]A comparison of parameter estimation in function-on-function regression
• [stat.ME]A spatial causal analysis of wildland fire-contributed PM2.5 using numerical model output
• [stat.ME]Default Bayes Factors for Testing the (In)equality of Several Population Variances
• [stat.ME]Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model
• [stat.ME]Spatial Tweedie exponential dispersion models
• [stat.ME]Use of Cross-validation Bayes Factors to Test Equality of Two Densities
• [stat.ME]VC-BART: Bayesian trees for varying coefficients
• [stat.ML]An Evaluation of Change Point Detection Algorithms
• [stat.ML]B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
• [stat.ML]BayesFlow: Learning complex stochastic models with invertible neural networks
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• [astro-ph.CO]Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel’dovich Effect
Nikhel Gupta, Christian L. Reichardt
http://arxiv.org/abs/2003.06135v1
• [astro-ph.IM]Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions
Xinwei Wang, Guohua Wu, Lining Xing, Witold Pedrycz
http://arxiv.org/abs/2003.06169v1
• [cs.AI]A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu, Maksym Semikin, Naveed Muhammad, Dmytro Fishman, Tambet Matiisen
http://arxiv.org/abs/2003.06404v1
• [cs.AI]Accelerating and Improving AlphaZero Using Population Based Training
Ti-Rong Wu, Ting-Han Wei, I-Chen Wu
http://arxiv.org/abs/2003.06212v1
• [cs.AI]Efficient Rule Learning with Template Saturation for Knowledge Graph Completion
Yulong Gu, Yu Guan, Paolo Missier
http://arxiv.org/abs/2003.06071v1
• [cs.AI]Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning
Jennifer Renoux, Uwe Köckemann, Amy Loutfi
http://arxiv.org/abs/2003.06347v1
• [cs.CL]Know thy corpus! Robust methods for digital curation of Web corpora
Serge Sharoff
http://arxiv.org/abs/2003.06389v1
• [cs.CL]Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition
Zhigang Dai, Jinhua Fu, Qile Zhu, Hengbin Cui, Xiaolong li, Yuan Qi
http://arxiv.org/abs/2003.06044v1
• [cs.CL]MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun
http://arxiv.org/abs/2003.06094v1
• [cs.CL]Review-guided Helpful Answer Identification in E-commerce
Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma
http://arxiv.org/abs/2003.06209v1
• [cs.CL]Sentence Level Human Translation Quality Estimation with Attention-based Neural Networks
Yu Yuan, Serge Sharoff
http://arxiv.org/abs/2003.06381v1
• [cs.CL]Using word embeddings to improve the discriminability of co-occurrence text networks
Laura V. C. Quispe, Jorge A. V. Tohalino, Diego R. Amancio
http://arxiv.org/abs/2003.06279v1
• [cs.CL]WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection
Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linares
http://arxiv.org/abs/2003.06190v1
• [cs.CR]Automating Botnet Detection with Graph Neural Networks
Jiawei Zhou, Zhiying Xu, Alexander M. Rush, Minlan Yu
http://arxiv.org/abs/2003.06344v1
• [cs.CV]A Spatial-Temporal Attentive Network with Spatial Continuity for Trajectory Prediction
Beihao Xia, Conghao Wang, Qinmu Peng, Xinge You, Dacheng Tao
http://arxiv.org/abs/2003.06107v1
• [cs.CV]Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu
http://arxiv.org/abs/2003.06167v1
• [cs.CV]Analyzing Visual Representations in Embodied Navigation Tasks
Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos
http://arxiv.org/abs/2003.05993v1
• [cs.CV]Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers
Muhammad Ali Farooq, Muhammad Aatif Mobeen Azhar, Rana Hammad Raza
http://arxiv.org/abs/2003.06276v1
• [cs.CV]BIHL:A Fast and High Performance Object Proposals based on Binarized HL Frequency
Jiang Chao, Liang Huawei, Wang Zhiling
http://arxiv.org/abs/2003.06124v1
• [cs.CV]Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
http://arxiv.org/abs/2003.06258v1
• [cs.CV]BigGAN-based Bayesian reconstruction of natural images from human brain activity
Kai Qiao, Jian Chen, Linyuan Wang, Chi Zhang, Li Tong, Bin Yan
http://arxiv.org/abs/2003.06105v1
• [cs.CV]Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang
http://arxiv.org/abs/2003.06054v1
• [cs.CV]Dual Temporal Memory Network for Efficient Video Object Segmentation
Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li
http://arxiv.org/abs/2003.06125v1
• [cs.CV]Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues
Renato Martins, Dhiego Bersan, Mario F. M. Campos, Erickson R. Nascimento
http://arxiv.org/abs/2003.06336v1
• [cs.CV]Gimme Signals: Discriminative signal encoding for multimodal activity recognition
Raphael Memmesheimer, Nick Theisen, Dietrich Paulus
http://arxiv.org/abs/2003.06156v1
• [cs.CV]Harmonizing Transferability and Discriminability for Adapting Object Detectors
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou
http://arxiv.org/abs/2003.06297v1
• [cs.CV]Interaction Graphs for Object Importance Estimation in On-road Driving Videos
Zehua Zhang, Ashish Tawari, Sujitha Martin, David Crandall
http://arxiv.org/abs/2003.06045v1
• [cs.CV]Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?
Haochen Zhang, Dong Liu, Zhiwei Xiong
http://arxiv.org/abs/2003.06141v1
• [cs.CV]LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington
http://arxiv.org/abs/2003.05982v1
• [cs.CV]Partial Weight Adaptation for Robust DNN Inference
Xiufeng Xie, Kyu-Han Kim
http://arxiv.org/abs/2003.06131v1
• [cs.CV]PointINS: Point-based Instance Segmentation
Lu Qi, Xiangyu Zhang, Yingcong Chen, Yukang Chen, Jian Sun, Jiaya Jia
http://arxiv.org/abs/2003.06148v1
• [cs.CV]Probabilistic Future Prediction for Video Scene Understanding
Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall
http://arxiv.org/abs/2003.06409v1
• [cs.CV]Pyramidal Edge-maps based Guided Thermal Super-resolution
Honey Gupta, Kaushik Mitra
http://arxiv.org/abs/2003.06216v1
• [cs.CV]Semantic Pyramid for Image Generation
Assaf Shocher, Yossi Gandelsmam, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel
http://arxiv.org/abs/2003.06221v1
• [cs.CY]Large-Scale Educational Question Analysis with Partial Variational Auto-encoders
Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, Jose Miguel Hernandez-Lobato, Simon Peyton Jones, Cheng Zhang
http://arxiv.org/abs/2003.05980v1
• [cs.DC]A Fault-Tolerance Shim for Serverless Computing
Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati, Joseph E. Gonzalez, Joseph M. Hellerstein, Jose M. Faleiro
http://arxiv.org/abs/2003.06007v1
• [cs.DC]Characterizing Optimizations to Memory Access Patterns using Architecture-Independent Program Features
Aditya Chilukuri, Josh Milthorpe, Beau Johnston
http://arxiv.org/abs/2003.06064v1
• [cs.DC]On Exploiting Transaction Concurrency To Speed Up Blockchains
Daniël Reijsbergen, Tien Tuan Anh Dinh
http://arxiv.org/abs/2003.06128v1
• [cs.HC]CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues
Francisco J. Chiyah Garcia, José Lopes, Xingkun Liu, Helen Hastie
http://arxiv.org/abs/2003.05995v1
• [cs.IR]Tracing patients’ PLOD with mobile phones: Mitigation of epidemic risks through patients’ locational open data
Ikki Ohmukai, Yasunori Yamamoto, Maori Ito, Takashi Okumura
http://arxiv.org/abs/2003.06199v1
• [cs.IT]Non Orthogonal Multiple Access with Orthogonal Time Frequency Space Signal Transmission
Aritra Chatterjee, Vivek Rangamgari, Shashank Tiwari, Suvra Sekhar Das
http://arxiv.org/abs/2003.06387v1
• [cs.LG]A General Framework for Learning Mean-Field Games
Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
http://arxiv.org/abs/2003.06069v1
• [cs.LG]Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
http://arxiv.org/abs/2003.05988v1
• [cs.LG]Autoencoders
Dor Bank, Noam Koenigstein, Raja Giryes
http://arxiv.org/abs/2003.05991v1
• [cs.LG]Balancedness and Alignment are Unlikely in Linear Neural Networks
Adityanarayanan Radhakrishnan, Eshaan Nichani, Daniel Bernstein, Caroline Uhler
http://arxiv.org/abs/2003.06340v1
• [cs.LG]Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study
Assaf Dauber, Meir Feder, Tomer Koren, Roi Livni
http://arxiv.org/abs/2003.06152v1
• [cs.LG]Coronary Artery Segmentation from Intravascular Optical Coherence Tomography Using Deep Capsules
Arjun Balaji, Lachlan Kelsey, Kamran Majeed, Carl Schultz, Barry Doyle
http://arxiv.org/abs/2003.06080v1
• [cs.LG]Dynamic transformation of prior knowledge intoBayesian models for data streams
Tran Xuan Bach, Nguyen Duc Anh, Linh Ngo Van, Khoat Than
http://arxiv.org/abs/2003.06123v1
• [cs.LG]Graph Convolutional Topic Model for Data Streams
Linh Ngo Van, Bach Tran, Khoat Than
http://arxiv.org/abs/2003.06112v1
• [cs.LG]Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning
Mandana Saebi, Steven Krieg, Chuxu Zhang, Meng Jiang, Nitesh Chawla
http://arxiv.org/abs/2003.06050v1
• [cs.LG]Interference and Generalization in Temporal Difference Learning
Emmanuel Bengio, Joelle Pineau, Doina Precup
http://arxiv.org/abs/2003.06350v1
• [cs.LG]Invariant Causal Prediction for Block MDPs
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
http://arxiv.org/abs/2003.06016v1
• [cs.LG]Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach
Qirui Li, Xiaoming Liu, Chao Shen, Xi Peng, Yadong Zhou, Xiaohong Guan
http://arxiv.org/abs/2003.06100v1
• [cs.LG]Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach
Debamita Ghosh, Arun Verma, Manjesh K. Hanawal
http://arxiv.org/abs/2003.06213v1
• [cs.LG]Minor Constraint Disturbances for Deep Semi-supervised Learning
Jielei Chu, Jing Liu, Hongjun Wang, Zhiguo Gong, Tianrui Li
http://arxiv.org/abs/2003.06321v1
• [cs.LG]Model Agnostic Multilevel Explanations
Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar
http://arxiv.org/abs/2003.06005v1
• [cs.LG]On the effectiveness of convolutional autoencoders on image-based personalized recommender systems
E. Blanco-Mallo, B. Remeseiro, V. Bolón-Canedo, A. Alonso-Betanzos
http://arxiv.org/abs/2003.06205v1
• [cs.LG]Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft
Christian Scheller, Yanick Schraner, Manfred Vogel
http://arxiv.org/abs/2003.06066v1
• [cs.LG]Sparse Graphical Memory for Robust Planning
Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
http://arxiv.org/abs/2003.06417v1
• [cs.LG]Taylor Expansion Policy Optimization
Yunhao Tang, Michal Valko, Rémi Munos
http://arxiv.org/abs/2003.06259v1
• [cs.LG]Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur Srihari
http://arxiv.org/abs/2003.06113v1
• [cs.LG]Wasserstein-based Graph Alignment
Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard
http://arxiv.org/abs/2003.06048v1
• [cs.LG]What Information Does a ResNet Compress?
Luke Nicholas Darlow, Amos Storkey
http://arxiv.org/abs/2003.06254v1
• [cs.LG]When are Non-Parametric Methods Robust?
Robi Bhattacharjee, Kamalika Chaudhuri
http://arxiv.org/abs/2003.06121v1
• [cs.LG]Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
http://arxiv.org/abs/2003.06060v1
• [cs.RO]Action for Better Prediction
Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis
http://arxiv.org/abs/2003.06082v1
• [cs.RO]Computationally Efficient Obstacle Avoidance Trajectory Planner for UAVs Based on Heuristic Angular Search Method
Han Chen, Peng Lu
http://arxiv.org/abs/2003.06136v1
• [cs.RO]Geometry-aware Dynamic Movement Primitives
Fares J. Abu-Dakka, Ville Kyrki
http://arxiv.org/abs/2003.06061v1
• [cs.RO]Human Grasp Classification for Reactive Human-to-Robot Handovers
Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox
http://arxiv.org/abs/2003.06000v1
• [cs.RO]LIBRE: The Multiple 3D LiDAR Dataset
Alexander Carballo, Jacob Lambert, Abraham Monrroy, David Wong, Patiphon Narksri, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, Kazuya Takeda
http://arxiv.org/abs/2003.06129v1
• [cs.RO]Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei
http://arxiv.org/abs/2003.06085v1
• [cs.RO]Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps
Sai Yalamanchi, Tzu-Kuo Huang, Galen Clark Haynes, Nemanja Djuric
http://arxiv.org/abs/2003.06143v1
• [cs.RO]Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis
Agnese Chiatti, Enrico Motta, Enrico Daga
http://arxiv.org/abs/2003.06171v1
• [cs.SI]NesTPP: Modeling Thread Dynamics in Online Discussion Forums
Chen Ling, Guangmo Tong, Mozi Chen
http://arxiv.org/abs/2003.06051v1
• [cs.SI]Snapshot Samplings of the Bitcoin Transaction Network and Analysis of Cryptocurrency Growth
Lambert T. Leong
http://arxiv.org/abs/2003.06068v1
• [econ.EM]Targeting Customers under Response-Dependent Costs
Johannes Haupt, Stefan Lessmann
http://arxiv.org/abs/2003.06271v1
• [eess.IV]Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
Muhammad Ali Farooq, Asma Khatoon, Viktor Varkarakis, Peter Corcoran
http://arxiv.org/abs/2003.06356v1
• [eess.IV]Estimation of Rate Control Parameters for Video Coding Using CNN
Maria Santamaria, Ebroul Izquierdo, Saverio Blasi, Marta Mrak
http://arxiv.org/abs/2003.06315v1
• [eess.IV]Random smooth gray value transformations for cross modality learning with gray value invariant networks
Nikolas Lessmann, Bram van Ginneken
http://arxiv.org/abs/2003.06158v1
• [eess.SP]A Power-Efficient Binary-Weight Spiking Neural Network Architecture for Real-Time Object Classification
Pai-Yu Tan, Po-Yao Chuang, Yen-Ting Lin, Cheng-Wen Wu, Juin-Ming Lu
http://arxiv.org/abs/2003.06310v1
• [eess.SP]RSSI-Based Hybrid Beamforming Design with Deep Learning
Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
http://arxiv.org/abs/2003.06042v1
• [eess.SY]Data Set Description: Identifying the Physics Behind an Electric Motor — Data-Driven Learning of the Electrical Behavior (Part II)
Sören Hanke, Oliver Wallscheid, Joachim Böcker
http://arxiv.org/abs/2003.06268v1
• [eess.SY]Identification of AC Networks via Online Learning
Emanuele Fabbiani, Pulkit Nahata, Giuseppe De Nicolao, Giancarlo Ferrari-Trecate
http://arxiv.org/abs/2003.06210v1
• [eess.SY]Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach
C. J. Boss, V. Srivastava, H. K. Khalil
http://arxiv.org/abs/2003.06390v1
• [eess.SY]SIS Epidemic Model under Mobility on Multi-layer Networks
Vishal Abhishek, Vaibhav Srivastava
http://arxiv.org/abs/2003.06341v1
• [hep-lat]Equivariant flow-based sampling for lattice gauge theory
Gurtej Kanwar, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan
http://arxiv.org/abs/2003.06413v1
• [math.OC]Boosting Frank-Wolfe by Chasing Gradients
Cyrille W. Combettes, Sebastian Pokutta
http://arxiv.org/abs/2003.06369v1
• [math.OC]Communication Efficient Sparsification for Large Scale Machine Learning
Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson
http://arxiv.org/abs/2003.06377v1
• [math.ST]Existence and Uniqueness of the Kronecker Covariance MLE
Mathias Drton, Satoshi Kuriki, Peter Hoff
http://arxiv.org/abs/2003.06024v1
• [math.ST]SVM Learning Rates for Data with Low Intrinsic Dimension
Thomas Hamm, Ingo Steinwart
http://arxiv.org/abs/2003.06202v1
• [math.ST]Statistical Inference for High Dimensional Panel Functional Time Series
Zhou Zhou, Holger Dette
http://arxiv.org/abs/2003.05968v1
• [physics.soc-ph]The impact of incorrect social information on collective wisdom in human groups
Bertrand Jayles, Ramón Escobedo, Stéphane Cezera, Adrien Blanchet, Tatsuya Kameda, Clément Sire, Guy Theraulaz
http://arxiv.org/abs/2003.06160v1
• [q-fin.PM]Application of Deep Q-Network in Portfolio Management
Ziming Gao, Yuan Gao, Yi Hu, Zhengyong Jiang, Jionglong Su
http://arxiv.org/abs/2003.06365v1
• [stat.AP]A Note on Early Epidemiological Analysis of Coronavirus Disease 2019 Outbreak using Crowdsourced Data
Giuseppe Arbia
http://arxiv.org/abs/2003.06207v1
• [stat.AP]Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
Jami J. Mulgrave, David Madigan, George Hripcsak
http://arxiv.org/abs/2003.06002v1
• [stat.AP]Power and Sample Size for Marginal Structural Models
Bonnie E. Shook-Sa, Michael G. Hudgens
http://arxiv.org/abs/2003.05979v1
• [stat.AP]Spatial multiresolution analysis approach to identify crash hotspots and estimate crash risk
Samer Katicha, John Khoury, Gerardo Flintsch
http://arxiv.org/abs/2003.06378v1
• [stat.CO]Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage
Shovanur Haque, Kerrie Mengersen
http://arxiv.org/abs/2003.06291v1
• [stat.ME]A comparison of parameter estimation in function-on-function regression
Ufuk Beyaztas, Han Lin Shang
http://arxiv.org/abs/2003.06067v1
• [stat.ME]A spatial causal analysis of wildland fire-contributed PM2.5 using numerical model output
Alexandra Larsen, Shu Yang, Brian J. Reich, Ana G. Rappold
http://arxiv.org/abs/2003.06037v1
• [stat.ME]Default Bayes Factors for Testing the (In)equality of Several Population Variances
Fabian Dablander, Don van den Bergh, Alexander Ly, Eric-Jan Wagenmakers
http://arxiv.org/abs/2003.06278v1
• [stat.ME]Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model
Karl T. Pazdernik, Ranjan Maitra
http://arxiv.org/abs/2003.05990v1
• [stat.ME]Spatial Tweedie exponential dispersion models
Aritra Halder, Shariq Mohammed, Kun Chen, Dipak K. Dey
http://arxiv.org/abs/2003.06299v1
• [stat.ME]Use of Cross-validation Bayes Factors to Test Equality of Two Densities
Jeffery Hart, Taeryon Choi, Naveed Merchant
http://arxiv.org/abs/2003.06368v1
• [stat.ME]VC-BART: Bayesian trees for varying coefficients
Sameer K. Deshpande, Ray Bai, Cecilia Balocchi, Jennifer E. Starling
http://arxiv.org/abs/2003.06416v1
• [stat.ML]An Evaluation of Change Point Detection Algorithms
Gerrit J. J. van den Burg, Christopher K. I. Williams
http://arxiv.org/abs/2003.06222v1
• [stat.ML]B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang, Xuhui Meng, George Em Karniadakis
http://arxiv.org/abs/2003.06097v1
• [stat.ML]BayesFlow: Learning complex stochastic models with invertible neural networks
Stefan T. Radev, Ulf K. Mertens, Andreass Voss, Lynton Ardizzone, Ullrich Köthe