cs.AI - 人工智能
cs.CC - 计算复杂度 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.ST - 统计理论 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions
• [cs.AI]DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
• [cs.AI]Hippocampal formation-inspired probabilistic generative model
• [cs.AI]Pairwise Symmetry Reasoning for Multi-Agent Path Finding Search
• [cs.CC]Efficient reconstruction of depth three circuits with top fan-in two
• [cs.CL]A Simple Post-Processing Technique for Improving Readability Assessment of Texts using Word Mover’s Distance
• [cs.CL]A Weakly Supervised Approach for Classifying Stance in Twitter Replies
• [cs.CL]Are NLP Models really able to Solve Simple Math Word Problems?
• [cs.CL]Automatic Romanization of Arabic Bibliographic Records
• [cs.CL]Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation
• [cs.CL]Characterizing Partisan Political Narratives about COVID-19 on Twitter
• [cs.CL]Constrained Text Generation with Global Guidance — Case Study on CommonGen
• [cs.CL]Cooperative Learning of Zero-Shot Machine Reading Comprehension
• [cs.CL]Explaining and Improving BERT Performance on Lexical Semantic Change Detection
• [cs.CL]Improving Authorship Verification using Linguistic Divergence
• [cs.CL]Improving Translation Robustness with Visual Cues and Error Correction
• [cs.CL]Inductive Relation Prediction by BERT
• [cs.CL]Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models’ Transferability
• [cs.CL]Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora
• [cs.CL]Towards Socially Intelligent Agents with Mental State Transition and Human Utility
• [cs.CR]Automating the GDPR Compliance Assessment for Cross-border Personal Data Transfers in Android Applications
• [cs.CR]DP-Image: Differential Privacy for Image Data in Feature Space
• [cs.CR]Explaining Network Intrusion Detection System Using Explainable AI Framework
• [cs.CV]3D Semantic Scene Completion: a Survey
• [cs.CV]Advanced Multiple Linear Regression Based Dark Channel Prior Applied on Dehazing Image and Generating Synthetic Haze
• [cs.CV]An Efficient Hypergraph Approach to Robust Point Cloud Resampling
• [cs.CV]CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration
• [cs.CV]CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement
• [cs.CV]Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
• [cs.CV]Deep Dual Consecutive Network for Human Pose Estimation
• [cs.CV]Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
• [cs.CV]Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal
• [cs.CV]FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism
• [cs.CV]In the light of feature distributions: moment matching for Neural Style Transfer
• [cs.CV]Information Maximization Clustering via Multi-View Self-Labelling
• [cs.CV]Juggling With Representations: On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semantics
• [cs.CV]Learnable Companding Quantization for Accurate Low-bit Neural Networks
• [cs.CV]Learning Long-Term Style-Preserving Blind Video Temporal Consistency
• [cs.CV]Monocular Quasi-Dense 3D Object Tracking
• [cs.CV]Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation
• [cs.CV]PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
• [cs.CV]PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching
• [cs.CV]Probabilistic two-stage detection
• [cs.CV]Real-time Nonrigid Mosaicking of Laparoscopy Images
• [cs.CV]Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
• [cs.CV]Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
• [cs.CV]Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
• [cs.CV]Sequential Random Network for Fine-grained Image Classification
• [cs.CV]Siamese Infrared and Visible Light Fusion Network for RGB-T Tracking
• [cs.CV]The Location of Optimal Object Colors with More Than Two Transitions
• [cs.CV]Thousand to One: Semantic Prior Modeling for Conceptual Coding
• [cs.CV]UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space
• [cs.CV]Urban Surface Reconstruction in SAR Tomography by Graph-Cuts
• [cs.CV]VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
• [cs.CV]iToF2dToF: A Robust and Flexible Representation for Data-Driven Time-of-Flight Imaging
• [cs.CY]Determining the Impacts of Social Media on Mood, Time Management and Academic Activities of Students and the Relationship with their Academic Performance
• [cs.CY]Development of An Assessment Benchmark for Synchronous Online Learning for Nigerian Universities
• [cs.DB]Process Comparison Using Object-Centric Process Cubes
• [cs.DC]A Risk-taking Broker Model to Optimise User Requests placement on On-demand and Contract VMs
• [cs.DC]Modeling of Resource Allocation Mechanisms in Distributed Computing Systems using Petri Nets and Stochastic Activity Networks (SAN): a Review and Reo-based Suggestion
• [cs.DC]Performance Exploration of Virtualization Systems
• [cs.DC]Reaching Agreement in Competitive Microbial Systems
• [cs.DS]Imagined-Trailing-Whitespace-Agnostic Levenshtein Distance For Plaintext Table Detection
• [cs.DS]Robust Lower Bounds for Graph Problems in the Blackboard Model of Communication
• [cs.ET]Photonic Computing to Accelerate Data Processing in Wireless Communications
• [cs.HC]Measuring Voice UX Quantitatively: A Rapid Review
• [cs.IR]Composite Re-Ranking for Efficient Document Search with BERT
• [cs.IR]Toward the Next Generation of News Recommender Systems
• [cs.IT]Block sparse signal recovery via minimizing the block -ratio sparsity
• [cs.IT]Coded-Caching using Adaptive Transmission
• [cs.IT]Enabling Smart Reflection in Integrated Air-Ground Wireless Network: IRS Meets UAV
• [cs.IT]IRS-Assisted Ambient Backscatter Communications Utilizing Deep Reinforcement Learning
• [cs.IT]Multiview Sensing With Unknown Permutations: An Optimal Transport Approach
• [cs.IT]RIS-Assisted Code-Domain MIMO-NOMA
• [cs.IT]Secure Outage Analysis of FSO Communications Over Arbitrarily Correlated Málaga Turbulence Channels
• [cs.IT]Smart and Reconfigurable Wireless Communications: From IRS Modeling to Algorithm Design
• [cs.IT]Synthesizing Correlated Randomness using Algebraic Structured Codes
• [cs.LG]A Neural Network for Semigroups
• [cs.LG]A Reinforcement Learning Based Approach to Play Calling in Football
• [cs.LG]Adversarial Graph Disentanglement
• [cs.LG]Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case
• [cs.LG]Auction Based Clustered Federated Learning in Mobile Edge Computing System
• [cs.LG]BDD4BNN: A BDD-based Quantitative Analysis Framework for Binarized Neural Networks
• [cs.LG]Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
• [cs.LG]Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation
• [cs.LG]EventGraD: Event-Triggered Communication in Parallel Machine Learning
• [cs.LG]Federated Functional Gradient Boosting
• [cs.LG]Game-theoretic Understanding of Adversarially Learned Features
• [cs.LG]Interleaving Learning, with Application to Neural Architecture Search
• [cs.LG]Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks
• [cs.LG]Large Batch Simulation for Deep Reinforcement Learning
• [cs.LG]Learning by Teaching, with Application to Neural Architecture Search
• [cs.LG]Medical data wrangling with sequential variational autoencoders
• [cs.LG]Modern Dimension Reduction
• [cs.LG]On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
• [cs.LG]Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning
• [cs.LG]Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices
• [cs.LG]Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences
• [cs.LG]SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
• [cs.LG]Second-Order Component Analysis for Fault Detection
• [cs.LG]Self-Feature Regularization: Self-Feature Distillation Without Teacher Models
• [cs.LG]Training Networks in Null Space of Covariance for Continual Learning
• [cs.LG]Visualising Deep Network’s Time-Series Representations
• [cs.MS]XAMG: A library for solving linear systems with multiple right-hand side vectors
• [cs.NE]GA for feature selection of EEG heterogeneous data
• [cs.NE]Neural Architecture Search based on Cartesian Genetic Programming Coding Method
• [cs.NE]The general aspects of noise in analogue hardware deep neural networks
• [cs.NI]Genetic Improvement of Routing Protocols for Delay Tolerant Networks
• [cs.RO]Agile Actions with a Centaur-Type Humanoid: A Decoupled Approach
• [cs.RO]Augmented Environment Representations with Complete Object Models
• [cs.RO]Facial emotion expressions in human-robot interaction: A survey
• [cs.RO]Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
• [cs.RO]Goal-Driven Autonomous Mapping Through Deep Reinforcement Learning and Planning-Based Navigation
• [cs.RO]Impact Invariant Control with Applications to Bipedal Locomotion
• [cs.RO]Offset-free Model Predictive Control: A Ball Catching Application with a Spherical Soft Robotic Arm
• [cs.RO]Robofleet: Secure Open Source Communication and Management for Fleets of Autonomous Robots
• [cs.RO]Sensor selection for detecting deviations from a planned itinerary
• [cs.RO]Vectorial Parameterizations of Pose
• [cs.SD]Latent Space Explorations of Singing Voice Synthesis using DDSP
• [cs.SD]Learning spectro-temporal representations of complex sounds with parameterized neural networks
• [cs.SD]Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning
• [cs.SD]Real-time Timbre Transfer and Sound Synthesis using DDSP
• [cs.SE]Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies
• [cs.SE]Towards Risk Modeling for Collaborative AI
• [cs.SI]Epidemics on Hypergraphs: Spectral Thresholds for Extinction
• [cs.SI]Minimum Long-Loop Feedback Vertex Set and Network Dismantling
• [cs.SI]Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder
• [cs.SI]Temporal Logic for Social Networks
• [cs.SI]Your most telling friends: Propagating latent ideological features on Twitter using neighborhood coherence
• [econ.EM]Evidence-Based Policy Learning
• [eess.AS]Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognition
• [eess.IV]Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
• [eess.IV]Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations
• [eess.IV]Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
• [eess.IV]Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma
• [eess.IV]Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer
• [eess.IV]Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus
• [eess.SY]Adversarial attacks in consensus-based multi-agent reinforcement learning
• [math.CO]Short minimal codes and covering codes via strong blocking sets in projective spaces
• [math.NA]Asymptotic Theory of -Regularized PDE Identification from a Single Noisy Trajectory
• [math.ST]Minimax Optimal Conditional Density Estimation under Total Variation Smoothness
• [math.ST]Non-Asymptotic Performance Guarantees for Neural Estimation of -Divergences
• [math.ST]Overlap of OLS Regression and Principal Loading Analysis
• [math.ST]Quantitative robustness of instance ranking problems
• [math.ST]Semiparametric inference for mixtures of circular data
• [q-bio.NC]Vector-based Pedestrian Navigation in Cities
• [stat.AP]Hypothesis-based acceptance sampling for modules F and F1 of the European Measuring Instruments Directive
• [stat.AP]Value of information from vibration-based structural health monitoring extracted via Bayesian model updating
• [stat.ME]A Novel Probability Weighting Method To Fit Gaussian Functions
• [stat.ME]A Resampling Approach For causal Inference On Novel Two-Point Time-Series With Application To Identify Risk Factors For Type-2 Diabetes And Cardiovascular Disease
• [stat.ME]Bayesian nonparametric dynamic hazard rates in evolutionary life tables
• [stat.ME]Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models
• [stat.ME]Mar-Co: a new dependence structure to model match outcomes in football
• [stat.ME]Mixture composite regression models with multi-type feature selection
• [stat.ME]Orthogonal Statistical Inference for Multimodal Data Analysis
• [stat.ME]Parameter estimation in models generated by SDE’s with symmetric alpha stable noise
• [stat.ME]Parametric quantile regression models for fitting double bounded response with application to COVID-19 mortality rate data
• [stat.ML]Discovering Diverse Solutions in Deep Reinforcement Learning
• [stat.ML]Explainable AI by BAPC — Before and After correction Parameter Comparison
• [stat.ML]Machine Learning Assisted Orthonormal Basis Selection for Functional Data Analysis
• [stat.ML]Max-Linear Regression by Scalable and Guaranteed Convex Programming
• [stat.ML]Optimal sequential decision making with probabilistic digital twins
• [stat.ML]The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
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• [cs.AI]Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions
Ivana Dusparic, Nicolas Cardozo
http://arxiv.org/abs/2103.06908v1
• [cs.AI]DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
Chris Connell, Yang Wang
http://arxiv.org/abs/2103.07080v1
• [cs.AI]Hippocampal formation-inspired probabilistic generative model
Akira Taniguchi, Ayako Fukawa, Hiroshi Yamakawa
http://arxiv.org/abs/2103.07356v1
• [cs.AI]Pairwise Symmetry Reasoning for Multi-Agent Path Finding Search
Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Sven Koenig
http://arxiv.org/abs/2103.07116v1
• [cs.CC]Efficient reconstruction of depth three circuits with top fan-in two
Gaurav Sinha
http://arxiv.org/abs/2103.07445v1
• [cs.CL]A Simple Post-Processing Technique for Improving Readability Assessment of Texts using Word Mover’s Distance
Joseph Marvin Imperial, Ethel Ong
http://arxiv.org/abs/2103.07277v1
• [cs.CL]A Weakly Supervised Approach for Classifying Stance in Twitter Replies
Sumeet Kumar, Ramon Villa Cox, Matthew Babcock, Kathleen M. Carley
http://arxiv.org/abs/2103.07098v1
• [cs.CL]Are NLP Models really able to Solve Simple Math Word Problems?
Arkil Patel, Satwik Bhattamishra, Navin Goyal
http://arxiv.org/abs/2103.07191v1
• [cs.CL]Automatic Romanization of Arabic Bibliographic Records
Eryani Fadhl, Habash Nizar
http://arxiv.org/abs/2103.07199v1
• [cs.CL]Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation
Yusen Lin, Jiayong Lin, Shuaicheng Zhang, Haoying Dai
http://arxiv.org/abs/2103.07040v1
• [cs.CL]Characterizing Partisan Political Narratives about COVID-19 on Twitter
Elise Jing, Yong-Yeol Ahn
http://arxiv.org/abs/2103.06960v1
• [cs.CL]Constrained Text Generation with Global Guidance — Case Study on CommonGen
Yixian Liu, Liwen Zhang, Wenjuan Han, Yue Zhang, Kewei Tu
http://arxiv.org/abs/2103.07170v1
• [cs.CL]Cooperative Learning of Zero-Shot Machine Reading Comprehension
Hongyin Luo, Seunghak Yu, James Glass
http://arxiv.org/abs/2103.07449v1
• [cs.CL]Explaining and Improving BERT Performance on Lexical Semantic Change Detection
Severin Laicher, Sinan Kurtyigit, Dominik Schlechtweg, Jonas Kuhn, Sabine Schulte im Walde
http://arxiv.org/abs/2103.07259v1
• [cs.CL]Improving Authorship Verification using Linguistic Divergence
Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee
http://arxiv.org/abs/2103.07052v1
• [cs.CL]Improving Translation Robustness with Visual Cues and Error Correction
Zhenhao Li, Marek Rei, Lucia Specia
http://arxiv.org/abs/2103.07352v1
• [cs.CL]Inductive Relation Prediction by BERT
Hanwen Zha, Zhiyu Chen, Xifeng Yan
http://arxiv.org/abs/2103.07102v1
• [cs.CL]Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models’ Transferability
Wei-Tsung Kao, Hung-Yi Lee
http://arxiv.org/abs/2103.07162v1
• [cs.CL]Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
http://arxiv.org/abs/2103.06968v1
• [cs.CL]Towards Socially Intelligent Agents with Mental State Transition and Human Utility
Liang Qiu, Yizhou Zhao, Yuan Liang, Pan Lu, Weiyan Shi, Zhou Yu, Song-Chun Zhu
http://arxiv.org/abs/2103.07011v1
• [cs.CR]Automating the GDPR Compliance Assessment for Cross-border Personal Data Transfers in Android Applications
Danny S. Guamán, Xavier Ferrer, Jose M. del Alamo, Jose Such
http://arxiv.org/abs/2103.07297v1
• [cs.CR]DP-Image: Differential Privacy for Image Data in Feature Space
Bo Liu, Ming Ding, Hanyu Xue, Tianqing Zhu, Dayong Ye, Li Song, Wanlei Zhou
http://arxiv.org/abs/2103.07073v1
• [cs.CR]Explaining Network Intrusion Detection System Using Explainable AI Framework
Shraddha Mane, Dattaraj Rao
http://arxiv.org/abs/2103.07110v1
• [cs.CV]3D Semantic Scene Completion: a Survey
Luis Roldao, Raoul de Charette, Anne Verroust-Blondet
http://arxiv.org/abs/2103.07466v1
• [cs.CV]Advanced Multiple Linear Regression Based Dark Channel Prior Applied on Dehazing Image and Generating Synthetic Haze
Binghan Li, Yindong Hua, Mi Lu
http://arxiv.org/abs/2103.07065v1
• [cs.CV]An Efficient Hypergraph Approach to Robust Point Cloud Resampling
Qinwen Deng, Songyang Zhang, Zhi Ding
http://arxiv.org/abs/2103.06999v1
• [cs.CV]CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration
Tianyu Zhao, Qiaojun Feng, Sai Jadhav, Nikolay Atanasov
http://arxiv.org/abs/2103.06911v1
• [cs.CV]CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement
Noranart Vesdapunt, Baoyuan Wang
http://arxiv.org/abs/2103.07017v1
• [cs.CV]Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
http://arxiv.org/abs/2103.06982v1
• [cs.CV]Deep Dual Consecutive Network for Human Pose Estimation
Zhenguang Liu, Haoming Chen, Runyang Feng, Shuang Wu, Shouling Ji, Bailin Yang, Xun Wang
http://arxiv.org/abs/2103.07254v1
• [cs.CV]Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
Beomyoung Kim, Sangeun Han. Junmo Kim
http://arxiv.org/abs/2103.07246v1
• [cs.CV]Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal
Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Lin Ma, Hongdong Li
http://arxiv.org/abs/2103.07051v1
• [cs.CV]FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism
Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis
http://arxiv.org/abs/2103.07054v1
• [cs.CV]In the light of feature distributions: moment matching for Neural Style Transfer
Nikolai Kalischek, Jan Dirk Wegner, Konrad Schindler
http://arxiv.org/abs/2103.07208v1
• [cs.CV]Information Maximization Clustering via Multi-View Self-Labelling
Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas
http://arxiv.org/abs/2103.07368v1
• [cs.CV]Juggling With Representations: On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semantics
Dominik Laupheimer, Norbert Haala
http://arxiv.org/abs/2103.07348v1
• [cs.CV]Learnable Companding Quantization for Accurate Low-bit Neural Networks
Kohei Yamamoto
http://arxiv.org/abs/2103.07156v1
• [cs.CV]Learning Long-Term Style-Preserving Blind Video Temporal Consistency
Hugo Thimonier, Julien Despois, Robin Kips, Matthieu Perrot
http://arxiv.org/abs/2103.07278v1
• [cs.CV]Monocular Quasi-Dense 3D Object Tracking
Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun
http://arxiv.org/abs/2103.07351v1
• [cs.CV]Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation
Hugo Germain, Vincent Lepetit, Guillaume Bourmaud
http://arxiv.org/abs/2103.07153v1
• [cs.CV]PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
Juan Luis Gonzalez Bello, Munchurl Kim
http://arxiv.org/abs/2103.07362v1
• [cs.CV]PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching
Hengli Wang, Rui Fan, Peide Cai, Ming Liu
http://arxiv.org/abs/2103.07094v1
• [cs.CV]Probabilistic two-stage detection
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
http://arxiv.org/abs/2103.07461v1
• [cs.CV]Real-time Nonrigid Mosaicking of Laparoscopy Images
Haoyin Zhou, Jagadeesan Jayender
http://arxiv.org/abs/2103.07414v1
• [cs.CV]Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
Sian-Yao Huang, Wei-Ta Chu
http://arxiv.org/abs/2103.07289v1
• [cs.CV]Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
http://arxiv.org/abs/2103.07293v1
• [cs.CV]Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Shi Qiu, Saeed Anwar, Nick Barnes
http://arxiv.org/abs/2103.07074v1
• [cs.CV]Sequential Random Network for Fine-grained Image Classification
Chaorong Li, Malu Zhang, Wei Huang, Fengqing Qin, Anping Zeng, Yuanyuan Huang
http://arxiv.org/abs/2103.07230v1
• [cs.CV]Siamese Infrared and Visible Light Fusion Network for RGB-T Tracking
Peng Jingchao, Zhao Haitao, Hu Zhengwei, Zhuang Yi, Wang Bofan
http://arxiv.org/abs/2103.07302v1
• [cs.CV]The Location of Optimal Object Colors with More Than Two Transitions
Scott A. Burns
http://arxiv.org/abs/2103.06997v1
• [cs.CV]Thousand to One: Semantic Prior Modeling for Conceptual Coding
Jianhui Chang, Zhenghui Zhao, Lingbo Yang, Chuanmin Jia, Jian Zhang, Siwei Ma
http://arxiv.org/abs/2103.07131v1
• [cs.CV]UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space
Yudong Wang, Jichang Guo, Huan Gao, Huihui Yue
http://arxiv.org/abs/2103.07138v1
• [cs.CV]Urban Surface Reconstruction in SAR Tomography by Graph-Cuts
Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot, Yue Huang, Laurent Ferro-Famil
http://arxiv.org/abs/2103.07202v1
• [cs.CV]VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
http://arxiv.org/abs/2103.07292v1
• [cs.CV]iToF2dToF: A Robust and Flexible Representation for Data-Driven Time-of-Flight Imaging
Felipe Gutierrez-Barragan, Huaijin Chen, Mohit Gupta, Andreas Velten, Jinwei Gu
http://arxiv.org/abs/2103.07087v1
• [cs.CY]Determining the Impacts of Social Media on Mood, Time Management and Academic Activities of Students and the Relationship with their Academic Performance
Comfort Olebara, Obianuju Ezugwu, Adaora Obayi, Deborah Ebem, Ujunwa Mbgoh, Elochukwu Ukwandu
http://arxiv.org/abs/2103.07205v1
• [cs.CY]Development of An Assessment Benchmark for Synchronous Online Learning for Nigerian Universities
Modesta Ezema, Boniface Nworgu, Deborah Ebem, Stephenson Echezona, Celestine Ugwu, Assumpta Ezugwu, Asogwa Chika, Ekene Ozioko, Elochukwu Ukwandu
http://arxiv.org/abs/2103.07215v1
• [cs.DB]Process Comparison Using Object-Centric Process Cubes
Anahita Farhang Ghahfarokhi, Alessandro Berti, Wil M. P. van der Aalst
http://arxiv.org/abs/2103.07184v1
• [cs.DC]A Risk-taking Broker Model to Optimise User Requests placement on On-demand and Contract VMs
Chalee Boonprasop, Yuhui Lin, Adam Barker
http://arxiv.org/abs/2103.07133v1
• [cs.DC]Modeling of Resource Allocation Mechanisms in Distributed Computing Systems using Petri Nets and Stochastic Activity Networks (SAN): a Review and Reo-based Suggestion
Mohammad Reza Besharati, Ali Sepehri Khameneh
http://arxiv.org/abs/2103.07237v1
• [cs.DC]Performance Exploration of Virtualization Systems
Joel Mandebi Mbongue, Danielle Tchuinkou Kwadjo, Christophe Bobda
http://arxiv.org/abs/2103.07092v1
• [cs.DC]Reaching Agreement in Competitive Microbial Systems
Victoria Andaur, Janna Burman, Matthias Függer, Manish Kushwaha, Bilal Manssouri, Thomas Nowak, Joel Rybicki
http://arxiv.org/abs/2103.07450v1
• [cs.DS]Imagined-Trailing-Whitespace-Agnostic Levenshtein Distance For Plaintext Table Detection
Kartik Vempala
http://arxiv.org/abs/2103.06942v1
• [cs.DS]Robust Lower Bounds for Graph Problems in the Blackboard Model of Communication
Christian Konrad, Peter Robinson, Viktor Zamaraev
http://arxiv.org/abs/2103.07027v1
• [cs.ET]Photonic Computing to Accelerate Data Processing in Wireless Communications
Mahsa Salmani, Armaghan Eshaghi, Enxiao Luan, Sreenil Saha
http://arxiv.org/abs/2103.07406v1
• [cs.HC]Measuring Voice UX Quantitatively: A Rapid Review
Katie Seaborn, Jacqueline Urakami
http://arxiv.org/abs/2103.07108v1
• [cs.IR]Composite Re-Ranking for Efficient Document Search with BERT
Yingrui Yang, Yifan Qiao, Jinjin Shao, Mayuresh Anand, Xifeng Yan, Tao Yang
http://arxiv.org/abs/2103.06499v2
• [cs.IR]Toward the Next Generation of News Recommender Systems
Himan Abdollahpouri, Edward Malthouse, Joseph Konstan, Bamshad Mobasher, Jeremy Gilbert
http://arxiv.org/abs/2103.06909v1
• [cs.IT]Block sparse signal recovery via minimizing the block -ratio sparsity
Zhiyong Zhou
http://arxiv.org/abs/2103.07145v1
• [cs.IT]Coded-Caching using Adaptive Transmission
Behrooz Makki, Mohamed-Slim Alouini
http://arxiv.org/abs/2103.07234v1
• [cs.IT]Enabling Smart Reflection in Integrated Air-Ground Wireless Network: IRS Meets UAV
Changsheng You, Zhenyu Kang, Yong Zeng, Rui Zhang
http://arxiv.org/abs/2103.07151v1
• [cs.IT]IRS-Assisted Ambient Backscatter Communications Utilizing Deep Reinforcement Learning
Xiaolun Jia, Xiangyun Zhou
http://arxiv.org/abs/2103.07083v1
• [cs.IT]Multiview Sensing With Unknown Permutations: An Optimal Transport Approach
Yanting Ma, Petros T. Boufounos, Hassan Mansour, Shuchin Aeron
http://arxiv.org/abs/2103.07458v1
• [cs.IT]RIS-Assisted Code-Domain MIMO-NOMA
Bashar Tahir, Stefan Schwarz, Markus Rupp
http://arxiv.org/abs/2103.06985v1
• [cs.IT]Secure Outage Analysis of FSO Communications Over Arbitrarily Correlated Málaga Turbulence Channels
Yun Ai, Aashish Mathur, Long Kong, Michael Cheffena
http://arxiv.org/abs/2103.07163v1
• [cs.IT]Smart and Reconfigurable Wireless Communications: From IRS Modeling to Algorithm Design
Xianghao Yu, Vahid Jamali, Dongfang Xu, Derrick Wing Kwan Ng, Robert Schober
http://arxiv.org/abs/2103.07046v1
• [cs.IT]Synthesizing Correlated Randomness using Algebraic Structured Codes
Touheed Anwar Atif, Arun Padakandla, S. Sandeep Pradhan
http://arxiv.org/abs/2103.07339v1
• [cs.LG]A Neural Network for Semigroups
Edouard Balzin, Boris Shminke
http://arxiv.org/abs/2103.07388v1
• [cs.LG]A Reinforcement Learning Based Approach to Play Calling in Football
Preston Biro, Stephen G. Walker
http://arxiv.org/abs/2103.06939v1
• [cs.LG]Adversarial Graph Disentanglement
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Shuiwang Ji, Yao Zhao
http://arxiv.org/abs/2103.07295v1
• [cs.LG]Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case
Evren Catak, Ferhat Ozgur Catak, Arild Moldsvor
http://arxiv.org/abs/2103.07268v1
• [cs.LG]Auction Based Clustered Federated Learning in Mobile Edge Computing System
Renhao Lu, Weizhe Zhang, Qiong Li, Xiaoxiong Zhong, Athanasios V. Vasilakos
http://arxiv.org/abs/2103.07150v1
• [cs.LG]BDD4BNN: A BDD-based Quantitative Analysis Framework for Binarized Neural Networks
Yedi Zhang, Zhe Zhao, Guangke Chen, Fu Song, Taolue Chen
http://arxiv.org/abs/2103.07224v1
• [cs.LG]Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
http://arxiv.org/abs/2103.07079v1
• [cs.LG]Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation
Karol Arndt, Oliver Struckmeier, Ville Kyrki
http://arxiv.org/abs/2103.07223v1
• [cs.LG]EventGraD: Event-Triggered Communication in Parallel Machine Learning
Soumyadip Ghosh, Bernardo Aquino, Vijay Gupta
http://arxiv.org/abs/2103.07454v1
• [cs.LG]Federated Functional Gradient Boosting
Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi
http://arxiv.org/abs/2103.06972v1
• [cs.LG]Game-theoretic Understanding of Adversarially Learned Features
Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Xu Cheng, Xin Wang, Yiting Chen, Jie Shi, Quanshi Zhang
http://arxiv.org/abs/2103.07364v1
• [cs.LG]Interleaving Learning, with Application to Neural Architecture Search
Hao Ban, Pengtao Xie
http://arxiv.org/abs/2103.07018v1
• [cs.LG]Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks
Francesco Fusco, Bradley Eck, Robert Gormally, Mark Purcell, Seshu Tirupathi
http://arxiv.org/abs/2103.07248v1
• [cs.LG]Large Batch Simulation for Deep Reinforcement Learning
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
http://arxiv.org/abs/2103.07013v1
• [cs.LG]Learning by Teaching, with Application to Neural Architecture Search
Parth Sheth, Yueyu Jiang, Pengtao Xie
http://arxiv.org/abs/2103.07009v1
• [cs.LG]Medical data wrangling with sequential variational autoencoders
Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez
http://arxiv.org/abs/2103.07206v1
• [cs.LG]Modern Dimension Reduction
Philip D. Waggoner
http://arxiv.org/abs/2103.06885v1
• [cs.LG]On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
Benjamin Zi Hao Zhao, Aviral Agrawal, Catisha Coburn, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kaafar, Darren Webb, Peter Dickinson
http://arxiv.org/abs/2103.07101v1
• [cs.LG]Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning
Christina Bukas, Bailiang Jian, Luis F. Rodriguez Venegas, Francesca De Benetti, Sebastian Ruehling, Anjany Sekubojina, Jens Gempt, Jan S. Kirschke, Marie Piraud, Johannes Oberreuter, Nassir Navab, Thomas Wendler
http://arxiv.org/abs/2103.07279v1
• [cs.LG]Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices
Maboud F. Kaloorazi, Jie Chen
http://arxiv.org/abs/2103.07245v1
• [cs.LG]Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences
Jørgen Berntsen, Jens Rimestad, Jacob Theilgaard Lassen, Dang Tran, Mikkel Fly Kragh
http://arxiv.org/abs/2103.07262v1
• [cs.LG]SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Chenhao Xu, Yong Li, Yao Deng, Jiaqi Ge, Longxiang Gao, Mengshi Zhang, Yong Xiang, Xi Zheng
http://arxiv.org/abs/2103.07050v1
• [cs.LG]Second-Order Component Analysis for Fault Detection
Peng Jingchao, Zhao Haitao, Hu Zhengwei
http://arxiv.org/abs/2103.07303v1
• [cs.LG]Self-Feature Regularization: Self-Feature Distillation Without Teacher Models
Wenxuan Fan, Zhenyan Hou
http://arxiv.org/abs/2103.07350v1
• [cs.LG]Training Networks in Null Space of Covariance for Continual Learning
Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu
http://arxiv.org/abs/2103.07113v1
• [cs.LG]Visualising Deep Network’s Time-Series Representations
Błażej Leporowski, Alexandros Iosifidis
http://arxiv.org/abs/2103.07176v1
• [cs.MS]XAMG: A library for solving linear systems with multiple right-hand side vectors
Boris Krasnopolsky, Alexey Medvedev
http://arxiv.org/abs/2103.07329v1
• [cs.NE]GA for feature selection of EEG heterogeneous data
Aurora Saibene, Francesca Gasparini
http://arxiv.org/abs/2103.07117v1
• [cs.NE]Neural Architecture Search based on Cartesian Genetic Programming Coding Method
Xuan Wu, Xiuyi Zhang, Linhan Jia, Liang Chen, Yanchun Liang, You Zhou, Chunguo Wu
http://arxiv.org/abs/2103.07173v1
• [cs.NE]The general aspects of noise in analogue hardware deep neural networks
Nadezhda Semenova, Laurent Larger, Daniel Brunner
http://arxiv.org/abs/2103.07413v1
• [cs.NI]Genetic Improvement of Routing Protocols for Delay Tolerant Networks
Michela Lorandi, Leonardo Lucio Custode, Giovanni Iacca
http://arxiv.org/abs/2103.07428v1
• [cs.RO]Agile Actions with a Centaur-Type Humanoid: A Decoupled Approach
Matteo Parigi Polverini, Enrico Mingo Hoffman, Arturo Laurenzi, Nikos G. Tsagarakis
http://arxiv.org/abs/2103.07183v1
• [cs.RO]Augmented Environment Representations with Complete Object Models
Krishnananda Prabhu Sivananda, Francesco Verdoja, Ville Kyrki
http://arxiv.org/abs/2103.07298v1
• [cs.RO]Facial emotion expressions in human-robot interaction: A survey
Niyati Rawal, Ruth Maria Stock-Homburg
http://arxiv.org/abs/2103.07169v1
• [cs.RO]Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar
http://arxiv.org/abs/2103.07403v1
• [cs.RO]Goal-Driven Autonomous Mapping Through Deep Reinforcement Learning and Planning-Based Navigation
Reinis Cimurs, Il Hong Suh, Jin Han Lee
http://arxiv.org/abs/2103.07119v1
• [cs.RO]Impact Invariant Control with Applications to Bipedal Locomotion
William Yang, Michael Posa
http://arxiv.org/abs/2103.06907v1
• [cs.RO]Offset-free Model Predictive Control: A Ball Catching Application with a Spherical Soft Robotic Arm
Yaohui Huang, Matthias Hofer, Raffaello D’Andrea
http://arxiv.org/abs/2103.07379v1
• [cs.RO]Robofleet: Secure Open Source Communication and Management for Fleets of Autonomous Robots
Kavan Singh Sikand, Logan Zartman, Sadegh Rabiee, Joydeep Biswas
http://arxiv.org/abs/2103.06993v1
• [cs.RO]Sensor selection for detecting deviations from a planned itinerary
Hazhar Rahmani, Dylan A. Shell, Jason M. O’Kane
http://arxiv.org/abs/2103.07029v1
• [cs.RO]Vectorial Parameterizations of Pose
Timothy D. Barfoot, James R. Forbes, Gabriele M. T. D’Eleuterio
http://arxiv.org/abs/2103.07309v1
• [cs.SD]Latent Space Explorations of Singing Voice Synthesis using DDSP
Juan Alonso, Cumhur Erkut
http://arxiv.org/abs/2103.07197v1
• [cs.SD]Learning spectro-temporal representations of complex sounds with parameterized neural networks
Rachid Riad, Julien Karadayi, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux
http://arxiv.org/abs/2103.07125v1
• [cs.SD]Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning
C. Chalmers, P. Fergus, S. Wich, S. N. Longmore
http://arxiv.org/abs/2103.07276v1
• [cs.SD]Real-time Timbre Transfer and Sound Synthesis using DDSP
Francesco Ganis, Erik Frej Knudesn, Søren V. K. Lyster, Robin Otterbein, David Südholt, Cumhur Erkut
http://arxiv.org/abs/2103.07220v1
• [cs.SE]Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies
Giovani Guizzo, Federica Sarro, Jens Krinke, Silvia Regina Vergilio
http://arxiv.org/abs/2103.07241v1
• [cs.SE]Towards Risk Modeling for Collaborative AI
Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T. Matt, Anna Perini, Barbara Russo, Angelo Susi
http://arxiv.org/abs/2103.07460v1
• [cs.SI]Epidemics on Hypergraphs: Spectral Thresholds for Extinction
Desmond John Higham, Henry-Louis de Kergorlay
http://arxiv.org/abs/2103.07319v1
• [cs.SI]Minimum Long-Loop Feedback Vertex Set and Network Dismantling
Tianyi Li, Pan Zhang, Hai-Jun Zhou
http://arxiv.org/abs/2103.07134v1
• [cs.SI]Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder
Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin
http://arxiv.org/abs/2103.07042v1
• [cs.SI]Temporal Logic for Social Networks
Vitor Machado, Mario Benevides
http://arxiv.org/abs/2103.07392v1
• [cs.SI]Your most telling friends: Propagating latent ideological features on Twitter using neighborhood coherence
Pedro Ramaciotti Morales, Jean-Philippe Cointet, Julio Laborde
http://arxiv.org/abs/2103.07250v1
• [econ.EM]Evidence-Based Policy Learning
Jann Spiess, Vasilis Syrgkanis
http://arxiv.org/abs/2103.07066v1
• [eess.AS]Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognition
Aleksandr Laptev, Andrei Andrusenko, Ivan Podluzhny, Anton Mitrofanov, Ivan Medennikov, Yuri Matveev
http://arxiv.org/abs/2103.07186v1
• [eess.IV]Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi
http://arxiv.org/abs/2103.07152v1
• [eess.IV]Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations
Lina Zhuang, Lianru Gao, Bing Zhang, Xiyou Fu, Jose M. Bioucas-Dias
http://arxiv.org/abs/2103.07437v1
• [eess.IV]Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler
http://arxiv.org/abs/2103.07240v1
• [eess.IV]Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma
Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia Hill, Gagandeep Singh, Sasan Partovi, Niha Beig, Sean McGarry, Peter Laviolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
http://arxiv.org/abs/2103.07423v1
• [eess.IV]Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer
Gwanghyun Kim, Sangjoon Park, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
http://arxiv.org/abs/2103.07062v1
• [eess.IV]Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
http://arxiv.org/abs/2103.07055v1
• [eess.SY]Adversarial attacks in consensus-based multi-agent reinforcement learning
Martin Figura, Krishna Chaitanya Kosaraju, Vijay Gupta
http://arxiv.org/abs/2103.06967v1
• [math.CO]Short minimal codes and covering codes via strong blocking sets in projective spaces
Tamás Héger, Zoltán Lóránt Nagy
http://arxiv.org/abs/2103.07393v1
• [math.NA]Asymptotic Theory of -Regularized PDE Identification from a Single Noisy Trajectory
Yuchen He, Namjoon Suh, Xiaoming Huo, Sungha Kang, Yajun Mei
http://arxiv.org/abs/2103.07045v1
• [math.ST]Minimax Optimal Conditional Density Estimation under Total Variation Smoothness
Michael Li, Matey Neykov, Sivaraman Balakrishnan
http://arxiv.org/abs/2103.07095v1
• [math.ST]Non-Asymptotic Performance Guarantees for Neural Estimation of -Divergences
Sreejith Sreekumar, Zhengxin Zhang, Ziv Goldfeld
http://arxiv.org/abs/2103.06923v1
• [math.ST]Overlap of OLS Regression and Principal Loading Analysis
J. O. Bauer, B. Drabant
http://arxiv.org/abs/2103.06691v2
• [math.ST]Quantitative robustness of instance ranking problems
Tino Werner
http://arxiv.org/abs/2103.07198v1
• [math.ST]Semiparametric inference for mixtures of circular data
Claire Lacour, Thanh Mai Pham Ngoc
http://arxiv.org/abs/2103.07318v1
• [q-bio.NC]Vector-based Pedestrian Navigation in Cities
Christian Bongiorno, Yulun Zhou, Marta Kryven, David Theurel, Alessandro Rizzo, Paolo Santi, Joshua Tenenbaum, Carlo Ratti
http://arxiv.org/abs/2103.07104v1
• [stat.AP]Hypothesis-based acceptance sampling for modules F and F1 of the European Measuring Instruments Directive
Katy Klauenberg, Cord A. Müller, Clemens Elster
http://arxiv.org/abs/2103.07431v1
• [stat.AP]Value of information from vibration-based structural health monitoring extracted via Bayesian model updating
Antonios Kamariotis, Eleni Chatzi, Daniel Straub
http://arxiv.org/abs/2103.07382v1
• [stat.ME]A Novel Probability Weighting Method To Fit Gaussian Functions
Wei Chen
http://arxiv.org/abs/2103.07060v1
• [stat.ME]A Resampling Approach For causal Inference On Novel Two-Point Time-Series With Application To Identify Risk Factors For Type-2 Diabetes And Cardiovascular Disease
Xiaowu Dai, Saad Mouti, Marjorie Lima do Vale, Sumantra Ray, Jeffrey Bohn, Lisa Goldberg
http://arxiv.org/abs/2103.07410v1
• [stat.ME]Bayesian nonparametric dynamic hazard rates in evolutionary life tables
Luis E. Nieto-Barajas
http://arxiv.org/abs/2103.07005v1
• [stat.ME]Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models
Alex Stringer, Patrick Brown, Jamie Stafford
http://arxiv.org/abs/2103.07425v1
• [stat.ME]Mar-Co: a new dependence structure to model match outcomes in football
Marco Petretta, Lorenzo Schiavon, Jacopo Diquigiovanni
http://arxiv.org/abs/2103.07272v1
• [stat.ME]Mixture composite regression models with multi-type feature selection
Tsz Chai Fung, George Tzougas, Mario Wuthrich
http://arxiv.org/abs/2103.07200v1
• [stat.ME]Orthogonal Statistical Inference for Multimodal Data Analysis
Xiaowu Dai, Lexin Li
http://arxiv.org/abs/2103.07088v1
• [stat.ME]Parameter estimation in models generated by SDE’s with symmetric alpha stable noise
D. O. Ivanenko, R. V. Pogorielov
http://arxiv.org/abs/2103.06979v1
• [stat.ME]Parametric quantile regression models for fitting double bounded response with application to COVID-19 mortality rate data
Diego I. Gallardo, Marcelo Bourguignon, Yolanda M. Gómez, Christian Caamaño-
1000
Carrillo
http://arxiv.org/abs/2103.07039v1
• [stat.ML]Discovering Diverse Solutions in Deep Reinforcement Learning
Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama
http://arxiv.org/abs/2103.07084v1
• [stat.ML]Explainable AI by BAPC — Before and After correction Parameter Comparison
Florian Sobieczky, Salma Mahmoud, Simon Neugebauer, Lukas Rippitsch, Manuela Geiß
http://arxiv.org/abs/2103.07155v1
• [stat.ML]Machine Learning Assisted Orthonormal Basis Selection for Functional Data Analysis
Rani Basna, Hiba Nassar, Krzysztof Podgórski
http://arxiv.org/abs/2103.07453v1
• [stat.ML]Max-Linear Regression by Scalable and Guaranteed Convex Programming
Seonho Kim, Sohail Bahmani, Kiryung Lee
http://arxiv.org/abs/2103.07020v1
• [stat.ML]Optimal sequential decision making with probabilistic digital twins
Christian Agrell, Kristina Rognlien Dahl, Andreas Hafver
http://arxiv.org/abs/2103.07405v1
• [stat.ML]The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
Fergus Simpson, Alexis Boukouvalas, Vaclav Cadek, Elvijs Sarkans, Nicolas Durrande
http://arxiv.org/abs/2103.06950v1
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