归档 - 今日学术视野(2020.6.5) - 《爱可可老师分享》

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.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
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
cs.SI - 社交网络与信息网络
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.NA - 数值分析
math.PR - 概率
math.ST - 统计理论
physics.comp-ph - 计算物理学
physics.ins-det - 仪器和探测器
physics.med-ph - 医学物理学
physics.soc-ph - 物理学与社会
q-bio.NC - 神经元与认知
q-bio.PE - 人口与发展
q-fin.ST - 统计金融学
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [cs.AI]A quest for a fair schedule: The Young Physicists’ Tournament
• [cs.AI]Aligning Superhuman AI and Human Behavior: Chess as a Model System
• [cs.AI]An ExpTime Upper Bound for $\mathcal{ALC}$ with Integers (Extended Version)
• [cs.AI]Characterizing an Analogical Concept Memory for Newellian Cognitive Architectures
• [cs.AI]Constraint Reductions
• [cs.AI]QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision
• [cs.AI]Tangles: a new paradigm for clusters and types
• [cs.CL]Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2
• [cs.CL]CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
• [cs.CL]Emergent Multi-Agent Communication in the Deep Learning Era
• [cs.CL]Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features
• [cs.CL]Exploiting Class Labels to Boost Performance on Embedding-based Text Classification
• [cs.CL]Improved acoustic word embeddings for zero-resource languages using multilingual transfer
• [cs.CL]Multi-Agent Cross-Translated Diversification for Unsupervised Machine Translation
• [cs.CL]Norm-Based Curriculum Learning for Neural Machine Translation
• [cs.CL]Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings
• [cs.CL]On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior
• [cs.CL]The Typology of Polysemy: A Multilingual Distributional Framework
• [cs.CL]Towards Large-Scale Data Mining for Data-Driven Analysis of Sign Languages
• [cs.CL]Transfer Learning for British Sign Language Modelling
• [cs.CR]A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store
• [cs.CV]CNN Denoisers As Non-Local Filters: The Neural Tangent Denoiser
• [cs.CV]Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders
• [cs.CV]DGSAC: Density Guided Sampling and Consensus
• [cs.CV]DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
• [cs.CV]Ear2Face: Deep Biometric Modality Mapping
• [cs.CV]Efficient refinements on YOLOv3 for real-time detection and assessment of diabetic foot Wagner grades
• [cs.CV]FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
• [cs.CV]Flexible Bayesian Modelling for Nonlinear Image Registration
• [cs.CV]From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding
• [cs.CV]From two rolling shutters to one global shutter
• [cs.CV]GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives
• [cs.CV]Grafted network for person re-identification
• [cs.CV]Interpolation-based semi-supervised learning for object detection
• [cs.CV]Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion
• [cs.CV]MultiNet: Multiclass Multistage Multimodal Motion Prediction
• [cs.CV]Nested Scale Editing for Conditional Image Synthesis
• [cs.CV]PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation
• [cs.CV]Reference Guided Face Component Editing
• [cs.CV]Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme
• [cs.CV]Self-supervised Training of Graph Convolutional Networks
• [cs.CV]Transforming Multi-Concept Attention into Video Summarization
• [cs.CV]When2com: Multi-Agent Perception via Communication Graph Grouping
• [cs.CY]AI-Powered Learning: Making Education Accessible, Affordable, and Achievable
• [cs.CY]AiR — An Augmented Reality Application for Visualizing Air Pollution
• [cs.CY]Assessing Holistic Impacts of Major Events on the Bitcoin Blockchain Network
• [cs.CY]Countering hate on social media: Large scale classification of hate and counter speech
• [cs.CY]D-ACC: Dynamic Adaptive Cruise Control for Highways with On-Ramps Based on Deep Q-Learning
• [cs.DC]A Scalable and Cloud-Native Hyperparameter Tuning System
• [cs.DC]Efficient Replication for Straggler Mitigation in Distributed Computing
• [cs.DC]Fog Computing for Smart Grids: Challenges and Solutions
• [cs.DC]How to Spread a Rumor: Call Your Neighbors or Take a Walk?
• [cs.DC]MLOS: An Infrastructure for AutomatedSoftware Performance Engineering
• [cs.DC]On the Significance of Consecutive Ballots in Paxos
• [cs.DC]PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives
• [cs.DC]The Art of CPU-Pinning: Evaluating and Improving the Performance of Virtualization and Containerization Platforms
• [cs.DC]Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications
• [cs.DL]Being published successfully or getting arXived? The importance of social capital and interdisciplinary collaboration for getting printed in a high impact journal in Physics
• [cs.DL]Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017)
• [cs.DS]LCP-Aware Parallel String Sorting
• [cs.HC]Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems
• [cs.HC]Quantifying the Effects of Prosody Modulation on User Engagement and Satisfaction in Conversational Systems
• [cs.IR]Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
• [cs.IR]Fairness-Aware Explainable Recommendation over Knowledge Graphs
• [cs.IR]Outlier Resilient Collaborative Web Service QoS Prediction
• [cs.IR]REL: An Entity Linker Standing on the Shoulders of Giants
• [cs.IR]Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning
• [cs.IR]Would You Like to Hear the News? Investigating Voice-BasedSuggestions for Conversational News Recommendation
• [cs.IT]Asymptotically Scale-invariant Multi-resolution Quantization
• [cs.IT]Canonical Conditions for K/2 Degrees of Freedom
• [cs.IT]Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
• [cs.IT]Rate-Splitting Multiple Access: A New Frontier for the PHY Layer of 6G
• [cs.IT]Reconfigurable Intelligent Surface Empowered Underlaying Device-to-Device Communication
• [cs.IT]Vanishing Flats: A Combinatorial Viewpoint on the Planarity of Functions and Their Application
• [cs.LG]A mathematical model for automatic differentiation in machine learning
• [cs.LG]Approximation and convergence of GANs training: an SDE approach
• [cs.LG]Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules
• [cs.LG]Communication-Computation Trade-Off in Resource-Constrained Edge Inference
• [cs.LG]Consistent Estimators for Learning to Defer to an Expert
• [cs.LG]Designing Differentially Private Estimators in High Dimensions
• [cs.LG]Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries
• [cs.LG]ExKMC: Expanding Explainable $k$ -Means Clustering
• [cs.LG]Hierarchical forecast reconciliation with machine learning
• [cs.LG]Interpretable Meta-Measure for Model Performance
• [cs.LG]Interpretable Time-series Classification on Few-shot Samples
• [cs.LG]Learning Kernel Tests Without Data Splitting
• [cs.LG]Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm
• [cs.LG]Learning Robust Decision Policies from Observational Data
• [cs.LG]Learning to Branch for Multi-Task Learning
• [cs.LG]Light-in-the-loop: using a photonics co-processor for scalable training of neural networks
• [cs.LG]Near-Tight Margin-Based Generalization Bounds for Support Vector Machines
• [cs.LG]NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces
• [cs.LG]Non-Euclidean Universal Approximation
• [cs.LG]On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs
• [cs.LG]Open-Set Recognition with Gaussian Mixture Variational Autoencoders
• [cs.LG]SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features
• [cs.LG]TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
• [cs.LG]The Convolution Exponential and Generalized Sylvester Flows
• [cs.LG]The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
• [cs.LG]Unsupervised Discretization by Two-dimensional MDL-based Histogram
• [cs.LG]Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors
• [cs.LG]dynoNet: a neural network architecture for learning dynamical systems
• [cs.LO]Generating Random Logic Programs Using Constraint Programming
• [cs.NE]FastONN — Python based open-source GPU implementation for Operational Neural Networks
• [cs.NE]Optimizing Neural Networks via Koopman Operator Theory
• [cs.NE]Training End-to-End Analog Neural Networks with Equilibrium Propagation
• [cs.NI]Proximity-based Networking: Small world overlays optimized with particle swarm optimization
• [cs.RO]Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing
• [cs.RO]Anatomical Mesh-Based Virtual Fixtures for Surgical Robots
• [cs.RO]Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
• [cs.RO]Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or Robots
• [cs.RO]Impact-Aware Task-Space Quadratic-Programming Control
• [cs.RO]Inertial Inchworm Crawling
• [cs.RO]Interferobot: aligning an optical interferometer by a reinforcement learning agent
• [cs.RO]Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
• [cs.RO]Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap
• [cs.RO]Learning Memory-Based Control for Human-Scale Bipedal Locomotion
• [cs.RO]Online adaptation in robots as biological development provides phenotypic plasticity
• [cs.RO]Sampling-Based Motion Planning on Manifold Sequences
• [cs.RO]Self-Supervised Localisation between Range Sensors and Overhead Imagery
• [cs.RO]milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion
• [cs.SE]A Mixed Initiative Semantic Web Framework for Process Composition
• [cs.SE]How Gamification Affects Software Developers: Cautionary Evidence from a Quasi-Experiment on GitHub
• [cs.SI]Does the First Mover Advantage Exist on GitHub?
• [cs.SI]Improving Speaker Identification using Network Knowledge in Criminal Conversational Data
• [cs.SI]Information Consumption and Social Response in a Segregated Environment: the Case of Gab
• [cs.SI]Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
• [cs.SI]Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms
• [cs.SI]Unlinking super-linkers: the topology of epidemic response (Covid-19)
• [eess.AS]Detecting Audio Attacks on ASR Systems with Dropout Uncertainty
• [eess.IV]Automatic Differentiation for All Photons Imaging to See Inside Volumetric Scattering Media
• [eess.IV]Image Classification in the Dark using Quanta Image Sensors
• [eess.IV]Perceiving Unknown in Dark from Perspective of Cell Vibration
• [eess.SP]A review of smartphones based indoor positioning: challenges and applications
• [eess.SP]CNN-based Speed Detection Algorithm for Walking and Running using Wrist-worn Wearable Sensors
• [eess.SY]ALADIN- $α$ — An open-source MATLAB toolbox for distributed non-convex optimization
• [math.NA]RODE-Net: Learning Ordinary Differential Equations with Randomness from Data
• [math.PR]Space-time deep neural network approximations for high-dimensional partial differential equations
• [math.PR]Whitening long range dependence in large sample covariance matrices of multivariate stationary processes
• [math.ST]Conformal e-prediction for change detection
• [math.ST]Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators
• [math.ST]Cube root weak convergence of empirical estimators of a density level set
• [math.ST]Gaussian linear approximation for the estimation of the Shapley effects
• [math.ST]One Step to Efficient Synthetic Data
• [math.ST]Robust and efficient mean estimation: approach based on the properties of self-normalized sums
• [math.ST]Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation
• [physics.comp-ph]Hybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-term Precipitation Forecasting
• [physics.ins-det]PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics
• [physics.med-ph]Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging
• [physics.soc-ph]Temporal Trends of Intraurban Commuting in Baton Rouge 1990-2010
• [q-bio.NC]From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning
• [q-bio.PE]Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations
• [q-bio.PE]Influence of Absolute Humidity and Population Density on COVID-19 Spread and Decay Durations: Multi-prefecture Study in Japan
• [q-fin.ST]An Adaptive Recursive Volatility Prediction Method
• [quant-ph]Experimental demonstration of a quantum generative adversarial network for continuous distributions
• [quant-ph]Generalization Study of Quantum Neural Network
• [quant-ph]Variational Quantum Singular Value Decomposition
• [stat.AP]Comparing and Integrating US COVID-19 Daily Data from Multiple Sources: A County-Level Dataset with Local Characteristics
• [stat.AP]Evaluating Public Supports to the Investment Activities of Business Firms: A Multilevel Meta-Regression Analysis of Italian Studies
• [stat.AP]Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data
• [stat.AP]Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning
• [stat.AP]Robust estimation for small domains in business surveys
• [stat.AP]The Building Data Genome Project 2: Hourly energy meter data from the ASHRAE Great Energy Predictor III competition
• [stat.ME]A Negative Correlation Strategy for Bracketing in Difference-in-Differences with Application to the Effect of Voter Identification Laws on Voter Turnout
• [stat.ME]A no-gold-standard technique to objectively evaluate quantitative imaging methods using patient data: Theory
• [stat.ME]An Alternative Metric for Detecting Anomalous Ship Behavior Using a Variation of the DBSCAN Clustering Algorithm
• [stat.ME]Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)
• [stat.ME]Improved $q$ -values for discrete uniform and homogeneous tests: a comparative study
• [stat.ME]Second-order stochastic comparisons of order statistics
• [stat.ME]Structure Adaptive Lasso
• [stat.ML]An efficient manifold density estimator for all recommendation systems
• [stat.ML]Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
• [stat.ML]Equivariant Flows: exact likelihood generative learning for symmetric densities
• [stat.ML]Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
• [stat.ML]Learning with CVaR-based feedback under potentially heavy tails
• [stat.ML]Non-Stationary Bandits with Intermediate Observations
• [stat.ML]On the Equivalence between Online and Private Learnability beyond Binary Classification
• [stat.ML]Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models
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• [cs.AI]A quest for a fair schedule: The Young Physicists’ Tournament
Katarína Cechlárová, Ágnes Cseh, Zsuzsanna Jankó, Marián Kireš, Lukáš Miňo
http://arxiv.org/abs/2006.02184v1
• [cs.AI]Aligning Superhuman AI and Human Behavior: Chess as a Model System
Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
http://arxiv.org/abs/2006.01855v1
• [cs.AI]An ExpTime Upper Bound for $\mathcal{ALC}$ with Integers (Extended Version)
Nadia Labai, Magdalena Ortiz, Mantas Šimkus
http://arxiv.org/abs/2006.02078v1
• [cs.AI]Characterizing an Analogical Concept Memory for Newellian Cognitive Architectures
Shiwali Mohan, Matt Klenk, Matthew Shreve, Kent Evans, Aaron Ang, John Maxwell
http://arxiv.org/abs/2006.01962v1
• [cs.AI]Constraint Reductions
Olivier Bailleux, Yacine Boufkhad
http://arxiv.org/abs/2006.02081v1
• [cs.AI]QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision
Catarina Moreira, Matheus Hammes, Rasim Serdar Kurdoglu, Peter Bruza
http://arxiv.org/abs/2006.02256v1
• [cs.AI]Tangles: a new paradigm for clusters and types
Reinhard Diestel
http://arxiv.org/abs/2006.01830v1
• [cs.CL]Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2
Virapat Kieuvongngam, Bowen Tan, Yiming Niu
http://arxiv.org/abs/2006.01997v1
• [cs.CL]CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank, Oliver Lemon
http://arxiv.org/abs/2006.02174v1
• [cs.CL]Emergent Multi-Agent Communication in the Deep Learning Era
Angeliki Lazaridou, Marco Baroni
http://arxiv.org/abs/2006.02419v1
• [cs.CL]Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features
Zhigang Kan, Linbo Qiao, Sen Yang, Feng Liu, Feng Huang
http://arxiv.org/abs/2006.01854v1
• [cs.CL]Exploiting Class Labels to Boost Performance on Embedding-based Text Classification
Arkaitz Zubiaga
http://arxiv.org/abs/2006.02104v1
• [cs.CL]Improved acoustic word embeddings for zero-resource languages using multilingual transfer
Herman Kamper, Yevgen Matusevych, Sharon Goldwater
http://arxiv.org/abs/2006.02295v1
• [cs.CL]Multi-Agent Cross-Translated Diversification for Unsupervised Machine Translation
Xuan-Phi Nguyen, Shafiq Joty, Wu Kui, Ai Ti Aw
http://arxiv.org/abs/2006.02163v1
• [cs.CL]Norm-Based Curriculum Learning for Neural Machine Translation
Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao
http://arxiv.org/abs/2006.02014v1
• [cs.CL]Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings
Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar, Tanmoy Chakraborty
http://arxiv.org/abs/2006.01938v1
• [cs.CL]On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior
Ethan Gotlieb Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, Roger Levy
http://arxiv.org/abs/2006.01912v1
• [cs.CL]The Typology of Polysemy: A Multilingual Distributional Framework
Ella Rabinovich, Yang Xu, Suzanne Stevenson
http://arxiv.org/abs/2006.01966v1
• [cs.CL]Towards Large-Scale Data Mining for Data-Driven Analysis of Sign Languages
Boris Mocialov, Graham Turner, Helen Hastie
http://arxiv.org/abs/2006.02120v1
• [cs.CL]Transfer Learning for British Sign Language Modelling
Boris Mocialov, Graham Turner, Helen Hastie
http://arxiv.org/abs/2006.02144v1
• [cs.CR]A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store
Naveen Karunanayake, Jathushan Rajasegaran, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon
http://arxiv.org/abs/2006.02231v1
• [cs.CV]CNN Denoisers As Non-Local Filters: The Neural Tangent Denoiser
Julián Tachella, Junqi Tang, Mike Davies
http://arxiv.org/abs/2006.02379v1
• [cs.CV]Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders
Damian Campo, Giulia Slavic, Mohamad Baydoun, Lucio Marcenaro, Carlo Regazzoni
http://arxiv.org/abs/2006.01945v1
• [cs.CV]DGSAC: Density Guided Sampling and Consensus
Lokender Tiwari, Saket Anand
http://arxiv.org/abs/2006.02413v1
• [cs.CV]DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Siyuan Qiao, Liang-Chieh Chen, Alan Yuille
http://arxiv.org/abs/2006.02334v1
• [cs.CV]Ear2Face: Deep Biometric Modality Mapping
Dogucan Yaman, Fevziye Irem Eyiokur, Hazım Kemal Ekenel
http://arxiv.org/abs/2006.01943v1
• [cs.CV]Efficient refinements on YOLOv3 for real-time detection and assessment of diabetic foot Wagner grades
Aifu Han, Yongze Zhang, Ajuan Li, Changjin Li, Fengying Zhao, Qiujie Dong, Qin Liu, Yanting Liu, Ximei Shen, Sunjie Yan, Shengzong Zhou
http://arxiv.org/abs/2006.02322v1
• [cs.CV]FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
http://arxiv.org/abs/2006.02049v1
• [cs.CV]Flexible Bayesian Modelling for Nonlinear Image Registration
Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
http://arxiv.org/abs/2006.02338v1
• [cs.CV]From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding
Igor Kviatkovsky, Nadav Bhonker, Gerard Medioni
http://arxiv.org/abs/2006.02110v1
• [cs.CV]From two rolling shutters to one global shutter
Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomas Pajdla, Konrad Schindler
http://arxiv.org/abs/2006.01964v1
• [cs.CV]GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives
Tiberiu Cocias, Alexandru Razvant, Sorin Grigorescu
http://arxiv.org/abs/2006.02098v1
• [cs.CV]Grafted network for person re-identification
Jiabao Wang, Yang Li, Yang Li, Zhuang Miao, Rui Zhang
http://arxiv.org/abs/2006.01967v1
• [cs.CV]Interpolation-based semi-supervised learning for object detection
Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak
http://arxiv.org/abs/2006.02158v1
• [cs.CV]Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion
Lixiang Ru, Bo Du, Chen Wu
http://arxiv.org/abs/2006.02176v1
• [cs.CV]MultiNet: Multiclass Multistage Multimodal Motion Prediction
Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
http://arxiv.org/abs/2006.02000v1
• [cs.CV]Nested Scale Editing for Conditional Image Synthesis
Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi
http://arxiv.org/abs/2006.02038v1
• [cs.CV]PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation
Noriaki Hirose, Satoshi Koide, Keisuke Kawano, Ruho Kondo
http://arxiv.org/abs/2006.02068v1
• [cs.CV]Reference Guided Face Component Editing
Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li, Zhenan Sun
http://arxiv.org/abs/2006.02051v1
• [cs.CV]Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme
Alexandre Pierre Dherse, Martin Nicolas Everaert, Jakub Jan Gwizdała
http://arxiv.org/abs/2006.02333v1
• [cs.CV]Self-supervised Training of Graph Convolutional Networks
Qikui Zhu, Bo Du, Pingkun Yan
http://arxiv.org/abs/2006.02380v1
• [cs.CV]Transforming Multi-Concept Attention into Video Summarization
Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang
http://arxiv.org/abs/2006.01410v2
• [cs.CV]When2com: Multi-Agent Perception via Communication Graph Grouping
Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira
http://arxiv.org/abs/2006.00176v2
• [cs.CY]AI-Powered Learning: Making Education Accessible, Affordable, and Achievable
Ashok Goel
http://arxiv.org/abs/2006.01908v1
• [cs.CY]AiR — An Augmented Reality Application for Visualizing Air Pollution
Noble Saji Mathews, Sridhar Chimalakonda, Suresh Jain
http://arxiv.org/abs/2006.02136v1
• [cs.CY]Assessing Holistic Impacts of Major Events on the Bitcoin Blockchain Network
Anthony Luo, Dianxiang Xu
http://arxiv.org/abs/2006.02416v1
• [cs.CY]Countering hate on social media: Large scale classification of hate and counter speech
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic
http://arxiv.org/abs/2006.01974v1
• [cs.CY]D-ACC: Dynamic Adaptive Cruise Control for Highways with On-Ramps Based on Deep Q-Learning
Lokesh Das, Myounggyu Won
http://arxiv.org/abs/2006.01411v2
• [cs.DC]A Scalable and Cloud-Native Hyperparameter Tuning System
Johnu George, Ce Gao, Richard Liu, Hou Gang Liu, Yuan Tang, Ramdoot Pydipaty, Amit Kumar Saha
http://arxiv.org/abs/2006.02085v1
• [cs.DC]Efficient Replication for Straggler Mitigation in Distributed Computing
Amir Behrouzi-Far, Emina Soljanin
http://arxiv.org/abs/2006.02318v1
• [cs.DC]Fog Computing for Smart Grids: Challenges and Solutions
Linna Ruan, Shaoyong Guo, Xuesong Qiu, Rajkumar Buyya
http://arxiv.org/abs/2006.00812v2
• [cs.DC]How to Spread a Rumor: Call Your Neighbors or Take a Walk?
George Giakkoupis, Frederik Mallmann-Trenn, Hayk Saribekyan
http://arxiv.org/abs/2006.02368v1
• [cs.DC]MLOS: An Infrastructure for AutomatedSoftware Performance Engineering
Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu
http://arxiv.org/abs/2006.02155v1
• [cs.DC]On the Significance of Consecutive Ballots in Paxos
Eli Goldweber, Nuda Zhang, Manos Kapritsos
http://arxiv.org/abs/2006.01885v1
• [cs.DC]PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives
Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul
http://arxiv.org/abs/2006.02230v1
• [cs.DC]The Art of CPU-Pinning: Evaluating and Improving the Performance of Virtualization and Containerization Platforms
Davood Ghatreh Samani, Chavit Denninnart, Josef Bacik, Mohsen Amini Salehi
http://arxiv.org/abs/2006.02055v1
• [cs.DC]Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications
Muhammad H. Hilman, Maria A. Rodriguez, Rajkumar Buyya
http://arxiv.org/abs/2006.01957v1
• [cs.DL]Being published successfully or getting arXived? The importance of social capital and interdisciplinary collaboration for getting printed in a high impact journal in Physics
Oliver J. Wieczorek, Mark Wittek, Raphael H. Heiberger
http://arxiv.org/abs/2006.02148v1
• [cs.DL]Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017)
Katy Börner, Olga Scrivner, Leonard E. Cross, Michael Gallant, Shutian Ma, Adam S. Martin, Elizabeth Record, Haici Yang, Jonathan M. Dilger
http://arxiv.org/abs/2006.02366v1
• [cs.DS]LCP-Aware Parallel String Sorting
Jonas Ellert, Johannes Fischer, Nodari Sitchinava
http://arxiv.org/abs/2006.02219v1
• [cs.HC]Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems
Jason Ingyu Choi, Ali Ahmadvand, Eugene Agichtein
http://arxiv.org/abs/2006.01921v1
• [cs.HC]Quantifying the Effects of Prosody Modulation on User Engagement and Satisfaction in Conversational Systems
Jason Ingyu Choi, Eugene Agichtein
http://arxiv.org/abs/2006.01916v1
• [cs.IR]Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
Zhuoran Liu, Martha larson
http://arxiv.org/abs/2006.01888v1
• [cs.IR]Fairness-Aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
http://arxiv.org/abs/2006.02046v1
• [cs.IR]Outlier Resilient Collaborative Web Service QoS Prediction
Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz
http://arxiv.org/abs/2006.01287v1
• [cs.IR]REL: An Entity Linker Standing on the Shoulders of Giants
Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, Arjen P. de Vries
http://arxiv.org/abs/2006.01969v1
• [cs.IR]Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning
Han Zhang, Songlin Wang, Kang Zhang, Zhiling Tang, Yunjiang Jiang, Yun Xiao, Weipeng Yan, Wen-Yun Yang
http://arxiv.org/abs/2006.02282v1
• [cs.IR]Would You Like to Hear the News? Investigating Voice-BasedSuggestions for Conversational News Recommendation
Harshita Sahijwani, Jason Ingyu Choi, Eugene Agichtein
http://arxiv.org/abs/2006.01926v1
• [cs.IT]Asymptotically Scale-invariant Multi-resolution Quantization
Cheuk Ting Li
http://arxiv.org/abs/2006.01949v1
• [cs.IT]Canonical Conditions for K/2 Degrees of Freedom
Recep Gül, David Stotz, Syed Ali Jafar, Helmut Bölcskei, Shlomo Shamai
http://arxiv.org/abs/2006.02310v1
• [cs.IT]Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
Shicong Liu, Zhen Gao, Jun Zhang, Marco Di Renzo, Mohamed-Slim Alouini
http://arxiv.org/abs/2006.02201v1
• [cs.IT]Rate-Splitting Multiple Access: A New Frontier for the PHY Layer of 6G
Onur Dizdar, Yijie Mao, Wei Han, Bruno Clerckx
http://arxiv.org/abs/2006.01437v2
• [cs.IT]Reconfigurable Intelligent Surface Empowered Underlaying Device-to-Device Communication
Gang Yang, Yating Liao, Ying-Chang Liang, Olav Tirkkonen
http://arxiv.org/abs/2006.02103v1
• [cs.IT]Vanishing Flats: A Combinatorial Viewpoint on the Planarity of Functions and Their Application
Shuxing Li, Wilfried Meidl, Alexandr Polujan, Alexander Pott, Constanza Riera, Pantelimon Stănică
http://arxiv.org/abs/2006.01941v1
• [cs.LG]A mathematical model for automatic differentiation in machine learning
Jerome Bolte, Edouard Pauwels
http://arxiv.org/abs/2006.02080v1
• [cs.LG]Approximation and convergence of GANs training: an SDE approach
Haoyang Cao, Xin Guo
http://arxiv.org/abs/2006.02047v1
• [cs.LG]Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules
Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi
http://arxiv.org/abs/2006.02105v1
• [cs.LG]Communication-Computation Trade-Off in Resource-Constrained Edge Inference
Jiawei Shao, Jun Zhang
http://arxiv.org/abs/2006.02166v1
• [cs.LG]Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar, David Sontag
http://arxiv.org/abs/2006.01862v1
• [cs.LG]Designing Differentially Private Estimators in High Dimensions
Aditya Dhar, Jason Huang
http://arxiv.org/abs/2006.01944v1
• [cs.LG]Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries
Saeid Tizpaz-Niari, Pavol Cerný, Ashutosh Trivedi
http://arxiv.org/abs/2006.01991v1
• [cs.LG]ExKMC: Expanding Explainable $k$ -Means Clustering
Nave Frost, Michal Moshkovitz, Cyrus Rashtchian
http://arxiv.org/abs/2006.02399v1
• [cs.LG]Hierarchical forecast reconciliation with machine learning
Evangelos Spiliotis, Mahdi Abolghasemi, Rob J Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos
http://arxiv.org/abs/2006.02043v1
• [cs.LG]Interpretable Meta-Measure for Model Performance
Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
http://arxiv.org/abs/2006.02293v1
• [cs.LG]Interpretable Time-series Classification on Few-shot Samples
Wensi Tang, Lu Liu, Guodong Long
http://arxiv.org/abs/2006.02031v1
• [cs.LG]Learning Kernel Tests Without Data Splitting
Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
http://arxiv.org/abs/2006.02286v1
• [cs.LG]Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm
Semih Kaya, Elif Vural
http://arxiv.org/abs/2006.02330v1
• [cs.LG]Learning Robust Decision Policies from Observational Data
Muhammad Osama, Dave Zachariah, Peter Stoica
http://arxiv.org/abs/2006.02355v1
• [cs.LG]Learning to Branch for Multi-Task Learning
Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht
http://arxiv.org/abs/2006.01895v1
• [cs.LG]Light-in-the-loop: using a photonics co-processor for scalable training of neural networks
Julien Launay, Iacopo Poli, Kilian Müller, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan
http://arxiv.org/abs/2006.01475v2
• [cs.LG]Near-Tight Margin-Based Generalization Bounds for Support Vector Machines
Allan Grønlund, Lior Kamma, Kasper Green Larsen
http://arxiv.org/abs/2006.02175v1
• [cs.LG]NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces
Miguel Jaques, Michael Burke, Timothy Hospedales
http://arxiv.org/abs/2006.01959v1
• [cs.LG]Non-Euclidean Universal Approximation
Anastasis Kratsios, Ievgen Bilokopytov
http://arxiv.org/abs/2006.02341v1
• [cs.LG]On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs
Matilde Gargiani, Andrea Zanelli, Moritz Diehl, Frank Hutter
http://arxiv.org/abs/2006.02409v1
• [cs.LG]Open-Set Recognition with Gaussian Mixture Variational Autoencoders
Alexander Cao, Yuan Luo, Diego Klabjan
http://arxiv.org/abs/2006.02003v1
• [cs.LG]SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features
Yaniv Shulman
http://arxiv.org/abs/2006.02244v1
• [cs.LG]TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun
http://arxiv.org/abs/2006.01321v2
• [cs.LG]The Convolution Exponential and Generalized Sylvester Flows
Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling
http://arxiv.org/abs/2006.01910v1
• [cs.LG]The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver
http://arxiv.org/abs/2006.02243v1
• [cs.LG]Unsupervised Discretization by Two-dimensional MDL-based Histogram
Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen
http://arxiv.org/abs/2006.01893v1
• [cs.LG]Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors
Andriy Serdega, Dae-Shik Kim
http://arxiv.org/abs/2006.02227v1
• [cs.LG]dynoNet: a neural network architecture for learning dynamical systems
Marco Forgione, Dario Piga
http://arxiv.org/abs/2006.02250v1
• [cs.LO]Generating Random Logic Programs Using Constraint Programming
Paulius Dilkas, Vaishak Belle
http://arxiv.org/abs/2006.01889v1
• [cs.NE]FastONN — Python based open-source GPU implementation for Operational Neural Networks
Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
http://arxiv.org/abs/2006.02267v1
• [cs.NE]Optimizing Neural Networks via Koopman Operator Theory
Akshunna S. Dogra, William T Redman
http://arxiv.org/abs/2006.02361v1
• [cs.NE]Training End-to-End Analog Neural Networks with Equilibrium Propagation
Jack Kendall, Ross Pantone, Kalpana Manickavasagam, Yoshua Bengio, Benjamin Scellier
http://arxiv.org/abs/2006.01981v1
• [cs.NI]Proximity-based Networking: Small world overlays optimized with particle swarm optimization
Chase Smith, Alex Rusnak
http://arxiv.org/abs/2006.02006v1
• [cs.RO]Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing
Dimos Tzoumanikas, Felix Graule, Qingyue Yan, Dhruv Shah, Marija Popovic, Stefan Leutenegger
http://arxiv.org/abs/2006.02116v1
• [cs.RO]Anatomical Mesh-Based Virtual Fixtures for Surgical Robots
Zhaoshuo Li, Alex Gordon, Thomas Looi, James Drake, Christopher Forrest, Russell H. Taylor
http://arxiv.org/abs/2006.02415v1
• [cs.RO]Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
Glen Chou, Necmiye Ozay, Dmitry Berenson
http://arxiv.org/abs/2006.02411v1
• [cs.RO]Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or Robots
Corneliu Arsene
http://arxiv.org/abs/2006.01286v2
• [cs.RO]Impact-Aware Task-Space Quadratic-Programming Control
Yuquan Wang, Niels Dehio, Arnaud Tanguy, Abderrahmane Kheddar
http://arxiv.org/abs/2006.01987v1
• [cs.RO]Inertial Inchworm Crawling
Benny Gamus, Amir D. Gat, Yizhar Or
http://arxiv.org/abs/2006.01990v1
• [cs.RO]Interferobot: aligning an optical interferometer by a reinforcement learning agent
Dmitry Sorokin, Alexander Ulanov, Ekaterina Sazhina, Alexander Lvovsky
http://arxiv.org/abs/2006.02252v1
• [cs.RO]Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
Junhong Xu, Kai Yin, Lantao Liu
http://arxiv.org/abs/2006.02008v1
• [cs.RO]Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap
Jacky Liang, Saumya Saxena, Oliver Kroemer
http://arxiv.org/abs/2006.01952v1
• [cs.RO]Learning Memory-Based Control for Human-Scale Bipedal Locomotion
Jonah Siekmann, Srikar Valluri, Jeremy Dao, Lorenzo Bermillo, Helei Duan, Alan Fern, Jonathan Hurst
http://arxiv.org/abs/2006.02402v1
• [cs.RO]Online adaptation in robots as biological development provides phenotypic plasticity
Michele Braccini, Andrea Roli, Stuart A. Kauffman
http://arxiv.org/abs/2006.02367v1
• [cs.RO]Sampling-Based Motion Planning on Manifold Sequences
Peter Englert, Isabel M. Rayas Fernández, Ragesh K. Ramachandran, Gaurav S. Sukhatme
http://arxiv.org/abs/2006.02027v1
• [cs.RO]Self-Supervised Localisation between Range Sensors and Overhead Imagery
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
http://arxiv.org/abs/2006.02108v1
• [cs.RO]milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion
Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham
http://arxiv.org/abs/2006.02266v1
• [cs.SE]A Mixed Initiative Semantic Web Framework for Process Composition
Jinghai Rao, Dimitar Dimitrov, Paul Hofmann, Norman Sadeh
http://arxiv.org/abs/2006.02168v1
• [cs.SE]How Gamification Affects Software Developers: Cautionary Evidence from a Quasi-Experiment on GitHub
Lukas Moldon, Markus Strohmaier, Johannes Wachs
http://arxiv.org/abs/2006.02371v1
• [cs.SI]Does the First Mover Advantage Exist on GitHub?
Aditya Mehta, Arun Paudyal, Atul Sharma, Zyanya Ambros, Ipek Baris, Jun Sun, Oul Han, Akram Sadat Hosseini
http://arxiv.org/abs/2006.02193v1
• [cs.SI]Improving Speaker Identification using Network Knowledge in Criminal Conversational Data
Mael Fabien, Seyyed Saeed Sarfjoo, Petr Motlicek, Srikanth Madikeri
http://arxiv.org/abs/2006.02093v1
• [cs.SI]Information Consumption and Social Response in a Segregated Environment: the Case of Gab
Gabriele Etta, Alessandro Galeazzi, Matteo Cinelli, Mauro Conti, Walter Quattrociocchi
http://arxiv.org/abs/2006.02181v1
• [cs.SI]Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
http://arxiv.org/abs/2006.01963v1
• [cs.SI]Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms
Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu
http://arxiv.org/abs/2006.01958v1
• [cs.SI]Unlinking super-linkers: the topology of epidemic response (Covid-19)
Shishir Nagaraja
http://arxiv.org/abs/2006.02241v1
• [eess.AS]Detecting Audio Attacks on ASR Systems with Dropout Uncertainty
Tejas Jayashankar, Jonathan Le Roux, Pierre Moulin
http://arxiv.org/abs/2006.01906v1
• [eess.IV]Automatic Differentiation for All Photons Imaging to See Inside Volumetric Scattering Media
Tomohiro Maeda, Ankit Ranjan, Ramesh Raskar
http://arxiv.org/abs/2006.01897v1
• [eess.IV]Image Classification in the Dark using Quanta Image Sensors
Abhiram Gnanasambandam, Stanley H. Chan
http://arxiv.org/abs/2006.02026v1
• [eess.IV]Perceiving Unknown in Dark from Perspective of Cell Vibration
Xiaozhou Lei, Minrui Fei, Wenju Zhou, Huiyu Zhou
http://arxiv.org/abs/2006.02271v1
• [eess.SP]A review of smartphones based indoor positioning: challenges and applications
Khuong An Nguyen, Zhiyuan Luo, Guang Li, Chris Watkins
http://arxiv.org/abs/2006.02251v1
• [eess.SP]CNN-based Speed Detection Algorithm for Walking and Running using Wrist-worn Wearable Sensors
Venkata Devesh Reddy Seethi, Pratool Bharti
http://arxiv.org/abs/2006.02348v1
• [eess.SY]ALADIN- $α$ — An open-source MATLAB toolbox for distributed non-convex optimization
Alexander Engelmann, Yuning Jiang, Henrieke Benner, Ruchuan Ou, Boris Houska, Timm Faulwasser
http://arxiv.org/abs/2006.01866v1
• [math.NA]RODE-Net: Learning Ordinary Differential Equations with Randomness from Data
Junyu Liu, Zichao Long, Ranran Wang, Jie Sun, Bin Dong
http://arxiv.org/abs/2006.02377v1
• [math.PR]Space-time deep neural network approximations for high-dimensional partial differential equations
Fabian Hornung, Arnulf Jentzen, Diyora Salimova
http://arxiv.org/abs/2006.02199v1
• [math.PR]Whitening long range dependence in large sample covariance matrices of multivariate stationary processes
Peng Tian, Jianfeng Yao
http://arxiv.org/abs/2006.02070v1
• [math.ST]Conformal e-prediction for change detection
Vladimir Vovk
http://arxiv.org/abs/2006.02329v1
• [math.ST]Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators
Gil Kur, Fuchang Gao, Adityanand Guntuboyina, Bodhisattva Sen
http://arxiv.org/abs/2006.02044v1
• [math.ST]Cube root weak convergence of empirical estimators of a density level set
Philippe Berthet, John H. J. Einmahl
http://arxiv.org/abs/2006.02229v1
• [math.ST]Gaussian linear approximation for the estimation of the Shapley effects
Baptiste Broto, François Bachoc, Marine Depecker, Jean-Marc Martinez
http://arxiv.org/abs/2006.02087v1
• [math.ST]One Step to Efficient Synthetic Data
Jordan Awan, Zhanrui Cai
http://arxiv.org/abs/2006.02397v1
• [math.ST]Robust and efficient mean estimation: approach based on the properties of self-normalized sums
Stanislav Minsker, Mohamed Ndaoud
http://arxiv.org/abs/2006.01986v1
• [math.ST]Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation
Caroline L. Wormell, Sebastian Reich
http://arxiv.org/abs/2006.02037v1
• [physics.comp-ph]Hybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-term Precipitation Forecasting
Shitao Zheng, Takashi Miyamoto, Koyuru Iwanami, Shingo Shimizu, Ryohei Kato
http://arxiv.org/abs/2006.02064v1
• [physics.ins-det]PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics
Corey Adams, Kazuhiro Terao, Taritree Wongjirad
http://arxiv.org/abs/2006.01993v1
• [physics.med-ph]Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging
Ziju Shen, Yufei Wang, Dufan Wu, Xu Yang, Bin Dong
http://arxiv.org/abs/2006.02420v1
• [physics.soc-ph]Temporal Trends of Intraurban Commuting in Baton Rouge 1990-2010
Yujie Hu, Fahui Wang
http://arxiv.org/abs/2006.02254v1
• [q-bio.NC]From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning
Zachary Wojtowicz, Simon DeDeo
http://arxiv.org/abs/2006.02359v1
• [q-bio.PE]Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations
Ajitesh Srivastava, Viktor K. Prasanna
http://arxiv.org/abs/2006.02127v1
• [q-bio.PE]Influence of Absolute Humidity and Population Density on COVID-19 Spread and Decay Durations: Multi-prefecture Study in Japan
Akimasa Hirata, Sachiko Kodera, Jose Gomez-Tames, Essam A. Rashed
http://arxiv.org/abs/2006.02197v1
• [q-fin.ST]An Adaptive Recursive Volatility Prediction Method
Nicklas Werge, Olivier Wintenberger
http://arxiv.org/abs/2006.02077v1
• [quant-ph]Experimental demonstration of a quantum generative adversarial network for continuous distributions
Abhinav Anand, Jonathan Romero, Matthias Degroote, Alán Aspuru-Guzik
http://arxiv.org/abs/2006.01976v1
• [quant-ph]Generalization Study of Quantum Neural Network
JinZhe Jiang, Xin Zhang, Chen Li, YaQian Zhao, RenGang Li
http://arxiv.org/abs/2006.02388v1
• [quant-ph]Variational Quantum Singular Value Decomposition
Xin Wang, Zhixin Song, Youle Wang
http://arxiv.org/abs/2006.02336v1
• [stat.AP]Comparing and Integrating US COVID-19 Daily Data from Multiple Sources: A County-Level Dataset with Local Characteristics
Guannan Wang, Zhiling Gu, Xinyi Li, Shan Yu, Myungjin Kim, Yueying Wang, Lei Gao, Li Wang
http://arxiv.org/abs/2006.01333v2
• [stat.AP]Evaluating Public Supports to the Investment Activities of Business Firms: A Multilevel Meta-Regression Analysis of Italian Studies
Chiara Bocci, Annalisa Caloffi, Marco Mariani, Alessandro Sterlacchini
http://arxiv.org/abs/2006.01880v1
• [stat.AP]Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data
Milan Straka, Rui Carvalho, Gijs van der Poel, Ľuboš Buzna
http://arxiv.org/abs/2006.01672v2
• [stat.AP]Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
http://arxiv.org/abs/2006.01898v1
• [stat.AP]Robust estimation for small domains in business surveys
Paul A. Smith, Chiara Bocci, Nikos Tzavidis, Sabine Krieg, Marc J. E. Smeets
http://arxiv.org/abs/2006.01864v1
• [stat.AP]The Building Data Genome Project 2: Hourly energy meter data from the ASHRAE Great Energy Predictor III competition
Clayton Miller, Anjukan Kathirgamanathan, Bianca Picchetti, Pandarasamy Arjunan, June Young Park, Zoltan Nagy, Paul Raftery, Brodie W. Hobson, Zixiao Shi, Forrest Meggers
http://arxiv.org/abs/2006.02273v1
• [stat.ME]A Negative Correlation Strategy for Bracketing in Difference-in-Differences with Application to the Effect of Voter Identification Laws on Voter Turnout
Ting Ye, Luke Keele, Raiden Hasegawa, Dylan S. Small
http://arxiv.org/abs/2006.02423v1
• [stat.ME]A no-gold-standard technique to objectively evaluate quantitative imaging methods using patient data: Theory
Jinxin Liu, Ziping Liu, Joyce Mhlanga, Barry A. Siegel, Abhinav K. Jha
http://arxiv.org/abs/2006.02290v1
• [stat.ME]An Alternative Metric for Detecting Anomalous Ship Behavior Using a Variation of the DBSCAN Clustering Algorithm
Carsten Botts
http://arxiv.org/abs/2006.01936v1
• [stat.ME]Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)
H. Robert Frost
http://arxiv.org/abs/2006.01924v1
• [stat.ME]Improved $q$ -values for discrete uniform and homogeneous tests: a comparative study
Marta Cousido-Rocha, Jacobo de Uña-Álvarez, Sebastian Döhler
http://arxiv.org/abs/2006.01882v1
• [stat.ME]Second-order stochastic comparisons of order statistics
Tommaso Lando, Idir Arab, Paulo Eduardo Oliveira
http://arxiv.org/abs/2006.02302v1
• [stat.ME]Structure Adaptive Lasso
Sandipan Pramanik, Xianyang Zhang
http://arxiv.org/abs/2006.02041v1
• [stat.ML]An efficient manifold density estimator for all recommendation systems
Jacek Dąbrowski, Barbara Rychalska, Michał Daniluk, Dominika Basaj, Piotr Babel, Andrzej Michałowski
http://arxiv.org/abs/2006.01894v1
• [stat.ML]Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
Nicolas Keriven, Alberto Bietti, Samuel Vaiter
http://arxiv.org/abs/2006.01868v1
• [stat.ML]Equivariant Flows: exact likelihood generative learning for symmetric densities
Jonas Köhler, Leon Klein, Frank Noé
http://arxiv.org/abs/2006.02425v1
• [stat.ML]Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
Zheng Shi, Nur Sila Gulgec, Albert S. Berahas, Shamim N. Pakzad, Martin Takáč
http://arxiv.org/abs/2006.01892v1
• [stat.ML]Learning with CVaR-based feedback under potentially heavy tails
Matthew J. Holland, El Mehdi Haress
http://arxiv.org/abs/2006.02001v1
• [stat.ML]Non-Stationary Bandits with Intermediate Observations
Claire Vernade, Andras Gyorgy, Timothy Mann
http://arxiv.org/abs/2006.02119v1
• [stat.ML]On the Equivalence between Online and Private Learnability beyond Binary Classification
Young Hun Jung, Baekjin Kim, Ambuj Tewari
http://arxiv.org/abs/2006.01980v1
• [stat.ML]Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models
Jwala Dhamala, John L. Sapp, B. Milan Horácek, Linwei Wang
http://arxiv.org/abs/2006.01983v1