astro-ph.SR - 太阳和天体物理学恒星
cond-mat.dis-nn - 无序系统与神经网络
cond-mat.str-el - 强关联电子系统
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GR - 计算机图形学
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.PL - 编程语言
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
econ.GN - 一般经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.comp-ph - 计算物理学
physics.flu-dyn - 流体动力学
physics.ins-det - 仪器和探测器
physics.soc-ph - 物理学与社会
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
• [astro-ph.SR]Tracing Halpha Fibrils through Bayesian Deep Learning
• [cond-mat.dis-nn]Entropic alternatives to initialization
• [cond-mat.str-el]Machine-learning Kondo physics using variational autoencoders
• [cs.AI]Architecture of Automated Crypto-Finance Agent
• [cs.AI]Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
• [cs.AI]Imitate TheWorld: A Search Engine Simulation Platform
• [cs.AI]Internet-Augmented Dialogue Generation
• [cs.AR]S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration
• [cs.CL]Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
• [cs.CL]Beyond Goldfish Memory: Long-Term Open-Domain Conversation
• [cs.CL]Exploiting Rich Syntax for Better Knowledge Base Question Answering
• [cs.CL]How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks?
• [cs.CL]Intersectional Bias in Causal Language Models
• [cs.CL]Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation
• [cs.CL]POS tagging, lemmatization and dependency parsing of West Frisian
• [cs.CL]Pseudo-labelling Enhanced Media Bias Detection
• [cs.CL]Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models
• [cs.CL]TAPEX: Table Pre-training via Learning a Neural SQL Executor
• [cs.CL]The Application of Active Query K-Means in Text Classification
• [cs.CR]Blockchain Technology: Bitcoins, Cryptocurrency and Applications
• [cs.CR]Demo — Zelig: Customizable Blockchain Simulator
• [cs.CR]Revisiting IoT Device Identification
• [cs.CV]A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Converlutional Neural Networks to Visual Transformers
• [cs.CV]A Survey on Bias in Visual Datasets
• [cs.CV]A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
• [cs.CV]A Theoretical Analysis of Granulometry-based Roughness Measures on Cartosat DEMs
• [cs.CV]Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
• [cs.CV]All the attention you need: Global-local, spatial-channel attention for image retrieval
• [cs.CV]An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling
• [cs.CV]Attention-based Vehicle Self-Localization with HD Feature Maps
• [cs.CV]CCVS: Context-aware Controllable Video Synthesis
• [cs.CV]Conditional Directed Graph Convolution for 3D Human Pose Estimation
• [cs.CV]Contrastive Predictive Coding for Anomaly Detection
• [cs.CV]Controlled AutoEncoders to Generate Faces from Voices
• [cs.CV]CutDepth:Edge-aware Data Augmentation in Depth Estimation
• [cs.CV]DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
• [cs.CV]Deep Learning to Ternary Hash Codes by Continuation
• [cs.CV]Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices
• [cs.CV]Is attention to bounding boxes all you need for pedestrian action prediction?
• [cs.CV]Multi-Level Contrastive Learning for Few-Shot Problems
• [cs.CV]Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
• [cs.CV]OdoViz: A 3D Odometry Visualization and Processing Tool
• [cs.CV]Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks
• [cs.CV]Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
• [cs.CV]Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption
• [cs.CV]Progressive Deep Video Dehazing without Explicit Alignment Estimation
• [cs.CV]Real-Time Face Recognition System for Remote Employee Tracking
• [cs.CV]Real-Time Violence Detection Using CNN-LSTM
• [cs.CV]Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition
• [cs.CV]Representation Consolidation for Training Expert Students
• [cs.CV]Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation
• [cs.CV]Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning
• [cs.CV]Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds
• [cs.CV]Unsupervised Discovery of Object Radiance Fields
• [cs.CY]Pilot Study Suggests Online Media Literacy Programming Reduces Belief in False News in Indonesia
• [cs.DC]MD Simulation of Hundred-Billion-Metal-Atom Cascade Collision on Sunway Taihulight
• [cs.DS]Correlation detection in trees for partial graph alignment
• [cs.DS]Estimation from Partially Sampled Distributed Traces
• [cs.DS]Single Pass Entrywise-Transformed Low Rank Approximation
• [cs.GR]Wasserstein Distances, Geodesics and Barycenters of Merge Trees
• [cs.HC]In-Bed Person Monitoring Using Thermal Infrared Sensors
• [cs.IR]A Survey of Knowledge Graph Embedding and Their Applications
• [cs.IR]DoReMi: First glance at a universal OMR dataset
• [cs.IR]Modeling User Behaviour in Research Paper Recommendation System
• [cs.IR]More Robust Dense Retrieval with Contrastive Dual Learning
• [cs.IT]A Fluctuating Line-of-Sight Fading Model with Double-Rayleigh Diffuse Scattering
• [cs.IT]A Generic Transformation to Generate MDS Storage Codes with -Optimal Access Property
• [cs.IT]Deep Learning Beam Optimization in Millimeter-Wave Communication Systems
• [cs.IT]Ergodic Rate Analysis of Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with ZF Detectors
• [cs.IT]Fast First-Order Algorithm for Large-Scale Max-Min Fair Multi-Group Multicast Beamforming
• [cs.IT]Geometry of Information: classical and quantum aspects
• [cs.IT]Hybrid Analog and Digital Beamforming Design for Channel Estimation in Correlated Massive MIMO Systems
• [cs.IT]Linear Programming Bounds for Almost-Balanced Binary Codes
• [cs.IT]Reconfigurable Intelligent Surface-Assisted Backscatter Communication: A New Frontier for Enabling 6G IoT Networks
• [cs.IT]Reed-Muller Identification
• [cs.IT]The equivalence of linear codes implies semi-linear equivalence
• [cs.LG]A Channel Coding Benchmark for Meta-Learning
• [cs.LG]Active learning for online training in imbalanced data streams under cold start
• [cs.LG]Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks
• [cs.LG]An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling
• [cs.LG]Constrained Feedforward Neural Network Training via Reachability Analysis
• [cs.LG]EGC2: Enhanced Graph Classification with Easy Graph Compression
• [cs.LG]Graph Kernel Attention Transformers
• [cs.LG]Graph Representation Learning for Road Type Classification
• [cs.LG]MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
• [cs.LG]Measuring Fairness in Generative Models
• [cs.LG]Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections
• [cs.LG]Neural Contextual Anomaly Detection for Time Series
• [cs.LG]Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems
• [cs.LG]Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
• [cs.LG]Property-aware Adaptive Relation Networks for Molecular Property Prediction
• [cs.LG]Ranking labs-of-origin for genetically engineered DNA using Metric Learning
• [cs.LG]ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
• [cs.LG]Semi-supervised Learning for Marked Temporal Point Processes
• [cs.LG]The Benchmark Lottery
• [cs.LG]Towards an Interpretable Latent Space in Structured Models for Video Prediction
• [cs.LG]Uncertainty Prediction for Machine Learning Models of Material Properties
• [cs.LG]When does loss-based prioritization fail?
• [cs.NE]Controlling Recurrent Neural Networks by Diagonal Conceptors
• [cs.NE]MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization
• [cs.NI]Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networks
• [cs.PL]A method for decompilation of AMD GCN kernels to OpenCL
• [cs.RO]A Comparison of Modern General-Purpose Visual SLAM Approaches
• [cs.RO]CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping
• [cs.RO]LT-mapper: A Modular Framework for LiDAR-based Lifelong Mapping
• [cs.RO]Learning Locomotion Controllers for Walking Using Deep FBSDE
• [cs.RO]Partially Observable Markov Decision Processes (POMDPs) and Robotics
• [cs.RO]Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness
• [cs.RO]Safety in human-multi robot collaborative scenarios: a trajectory scaling approach
• [cs.RO]Versatile modular neural locomotion control with fast learning
• [cs.RO]Weakly-Supervised Object Detection Learning through Human-Robot Interaction
• [cs.SD]Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach
• [cs.SD]Recognizing bird species in diverse soundscapes under weak supervision
• [cs.SI]SOK: Seeing and Believing: Evaluating the Trustworthiness of Twitter Users
• [cs.SI]The Paradox of Second-Order Homophily in Networks
• [econ.EM]Flexible Covariate Adjustments in Regression Discontinuity Designs
• [econ.EM]Subspace Shrinkage in Conjugate Bayesian Vector Autoregressions
• [econ.GN]Public Health, Technology, and Human Rights: Lessons from Digital Contact Tracing
• [eess.AS]Multi-task Learning with Cross Attention for Keyword Spotting
• [eess.IV]Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network
• [eess.IV]Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study
• [eess.IV]Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
• [eess.IV]Lightness Modulated Deep Inverse Tone Mapping
• [eess.IV]NeXtQSM — A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data
• [eess.IV]Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation
• [eess.SP]Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems
• [eess.SY]A DoE-based approach for the implementation of structural surrogate models in the early stage design of box-wing aircraft
• [eess.SY]Reinforcement Learning for Optimal Stationary Control of Linear Stochastic Systems
• [math.OC]Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements
• [math.OC]Efficient proximal gradient algorithms for joint graphical lasso
• [math.OC]Robust Online Control with Model Misspecification
• [math.OC]Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions
• [math.PR]Self-normalized Cramer moderate deviations for a supercritical Galton-Watson process
• [math.ST]A study on reliability of a -out-of-
system equipped with a cold standby component based on copula
• [math.ST]Aggregating estimates by convex optimization
• [math.ST]Chi-square and normal inference in high-dimensional multi-task regression
• [math.ST]Intrinsic Dimension Adaptive Partitioning for Kernel Methods
• [math.ST]Optimal tests of the composite null hypothesis arising in mediation analysis
• [physics.comp-ph]Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
• [physics.flu-dyn]Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks
• [physics.ins-det]Optical Inspection of the Silicon Micro-strip Sensors for the CBM Experiment employing Artificial Intelligence
• [physics.soc-ph]The COVID-19 infodemic does not affect vaccine acceptance
• [quant-ph]The strong converse exponent of discriminating infinite-dimensional quantum states
• [stat.AP]Bayesian Markov Renewal Mixed Models for Vocalization Syntax
• [stat.AP]Optimal-Design Domain-Adaptation for Exposure Prediction in Two-Stage Epidemiological Studies
• [stat.AP]Predicting Drought and Subsidence Risks in France
• [stat.ME]A New Robust Multivariate Mode Estimator for Eye-tracking Calibration
• [stat.ME]Bootstrapping Through Discrete Convolutional Methods
• [stat.ME]Clarifying Selection Bias in Cluster Randomized Trials: Estimands and Estimation
• [stat.ME]Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference
• [stat.ME]Nearest-Neighbor Geostatistical Models for Non-Gaussian Data
• [stat.ME]Nearly Unstable Integer-Valued ARCH Process and Unit Root Testing
• [stat.ME]Obtaining Causal Information by Merging Datasets with MAXENT
• [stat.ME]Quantifying the economic response to COVID-19 mitigations and death rates via forecasting Purchasing Managers’ Indices using Generalised Network Autoregressive models with exogenous variables
• [stat.ME]Ranked Sparsity: A Cogent Regularization Framework for Selecting and Estimating Feature Interactions and Polynomials
• [stat.ML]A Causal Perspective on Meaningful and Robust Algorithmic Recourse
• [stat.ML]Auto-differentiable Ensemble Kalman Filters
• [stat.ML]Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods
• [stat.ML]Online Graph Topology Learning from Matrix-valued Time Series
·····································
• [astro-ph.SR]Tracing Halpha Fibrils through Bayesian Deep Learning
Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang
http://arxiv.org/abs/2107.07886v1
• [cond-mat.dis-nn]Entropic alternatives to initialization
Daniele Musso
http://arxiv.org/abs/2107.07757v1
• [cond-mat.str-el]Machine-learning Kondo physics using variational autoencoders
Cole Miles, Matthew R. Carbone, Erica J. Sturm, Deyu Lu, Andreas Weichselbaum, Kipton Barros, Robert M. Konik
http://arxiv.org/abs/2107.08013v1
• [cs.AI]Architecture of Automated Crypto-Finance Agent
Ali Raheman, Anton Kolonin, Ben Goertzel, Gergely Hegykozi, Ikram Ansari
http://arxiv.org/abs/2107.07769v1
• [cs.AI]Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
Ho Chit Siu, Jaime D. Pena, Kimberlee C. Chang, Edenna Chen, Yutai Zhou, Victor J. Lopez, Kyle Palko, Ross E. Allen
http://arxiv.org/abs/2107.07630v1
• [cs.AI]Imitate TheWorld: A Search Engine Simulation Platform
Yongqing Gao, Guangda Huzhang, Weijie Shen, Yawen Liu, Wen-Ji Zhou, Qing Da, Dan Shen, Yang Yu
http://arxiv.org/abs/2107.07693v1
• [cs.AI]Internet-Augmented Dialogue Generation
Mojtaba Komeili, Kurt Shuster, Jason Weston
http://arxiv.org/abs/2107.07566v1
• [cs.AR]S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration
Zhi-Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina
http://arxiv.org/abs/2107.07983v1
• [cs.CL]Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
Jordi Armengol-Estapé, Casimiro Pio Carrino, Carlos Rodriguez-Penagos, Ona de Gibert Bonet, Carme Armentano-Oller, Aitor Gonzalez-Agirre, Maite Melero, Marta Villegas
http://arxiv.org/abs/2107.07903v1
• [cs.CL]Beyond Goldfish Memory: Long-Term Open-Domain Conversation
Jing Xu, Arthur Szlam, Jason Weston
http://arxiv.org/abs/2107.07567v1
• [cs.CL]Exploiting Rich Syntax for Better Knowledge Base Question Answering
Pengju Zhang, Yonghui Jia, Muhua Zhu, Wenliang Chen, Min Zhang
http://arxiv.org/abs/2107.07940v1
• [cs.CL]How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks?
Camille Koenders, Johannes Filla, Nicolai Schneider, Vinicius Woloszyn
http://arxiv.org/abs/2107.07970v1
• [cs.CL]Intersectional Bias in Causal Language Models
Liam Magee, Lida Ghahremanlou, Karen Soldatic, Shanthi Robertson
http://arxiv.org/abs/2107.07691v1
• [cs.CL]Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation
Yajing Sun, Yue Hu, Luxi Xing, Yuqiang Xie, Xiangpeng Wei
http://arxiv.org/abs/2107.07771v1
• [cs.CL]POS tagging, lemmatization and dependency parsing of West Frisian
Wilbert Heeringa, Gosse Bouma, Martha Hofman, Eduard Drenth, Jan Wijffels, Hans Van de Velde
http://arxiv.org/abs/2107.07974v1
• [cs.CL]Pseudo-labelling Enhanced Media Bias Detection
Qin Ruan, Brian Mac Namee, Ruihai Dong
http://arxiv.org/abs/2107.07705v1
• [cs.CL]Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models
Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer
http://arxiv.org/abs/2107.07610v1
• [cs.CL]TAPEX: Table Pre-training via Learning a Neural SQL Executor
Qian Liu, Bei Chen, Jiaqi Guo, Zeqi Lin, Jian-guang Lou
http://arxiv.org/abs/2107.07653v1
• [cs.CL]The Application of Active Query K-Means in Text Classification
Yukun Jiang
http://arxiv.org/abs/2107.07682v1
• [cs.CR]Blockchain Technology: Bitcoins, Cryptocurrency and Applications
Bosubabu Sambana
http://arxiv.org/abs/2107.07964v1
• [cs.CR]Demo — Zelig: Customizable Blockchain Simulator
Ege Erdogan, Can Arda Aydin, Oznur Ozkasap, Waris Gill
http://arxiv.org/abs/2107.07972v1
• [cs.CR]Revisiting IoT Device Identification
Roman Kolcun, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Richard Mortier, Hamed Haddadi
http://arxiv.org/abs/2107.07818v1
• [cs.CV]A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Converlutional Neural Networks to Visual Transformers
Peng Zhao, Chen Li, Md Mamunur Rahaman, Hechen Yang, Tao Jiang, Marcin Grzegorzek
http://arxiv.org/abs/2107.07699v1
• [cs.CV]A Survey on Bias in Visual Datasets
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
http://arxiv.org/abs/2107.07919v1
• [cs.CV]A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
Muhammed Muzammul, Xi Li
http://arxiv.org/abs/2107.07927v1
• [cs.CV]A Theoretical Analysis of Granulometry-based Roughness Measures on Cartosat DEMs
Nagajothi Kannan, Sravan Danda, Aditya Challa, Daya Sagar B S
http://arxiv.org/abs/2107.07827v1
• [cs.CV]Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq Joty, Caiming Xiong, Steven Hoi
http://arxiv.org/abs/2107.07651v1
• [cs.CV]All the attention you need: Global-local, spatial-channel attention for image retrieval
Chull Hwan Song, Hye Joo Han, Yannis Avrithis
http://arxiv.org/abs/2107.08000v1
• [cs.CV]An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling
Ian Colbert, Ken Kreutz-Delgado, Srinjoy Das
http://arxiv.org/abs/2107.07647v1
• [cs.CV]Attention-based Vehicle Self-Localization with HD Feature Maps
Nico Engel, Vasileios Belagiannis, Klaus Dietmayer
http://arxiv.org/abs/2107.07787v1
• [cs.CV]CCVS: Context-aware Controllable Video Synthesis
Guillaume Le Moing, Jean Ponce, Cordelia Schmid
http://arxiv.org/abs/2107.08037v1
• [cs.CV]Conditional Directed Graph Convolution for 3D Human Pose Estimation
Wenbo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, Tien-Tsin Wong
http://arxiv.org/abs/2107.07797v1
• [cs.CV]Contrastive Predictive Coding for Anomaly Detection
Puck de Haan, Sindy Löwe
http://arxiv.org/abs/2107.07820v1
• [cs.CV]Controlled AutoEncoders to Generate Faces from Voices
Hao Liang, Lulan Yu, Guikang Xu, Bhiksha Raj, Rita Singh
http://arxiv.org/abs/2107.07988v1
• [cs.CV]CutDepth:Edge-aware Data Augmentation in Depth Estimation
Yasunori Ishii, Takayoshi Yamashita
http://arxiv.org/abs/2107.07684v1
• [cs.CV]DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin
http://arxiv.org/abs/2107.07706v1
• [cs.CV]Deep Learning to Ternary Hash Codes by Continuation
Mingrui Chen, Weiyu Li, Weizhi Lu
http://arxiv.org/abs/2107.07987v1
• [cs.CV]Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices
Kostas Blekos, Stavros Nousias, Aris S Lalos
http://arxiv.org/abs/2107.07826v1
• [cs.CV]Is attention to bounding boxes all you need for pedestrian action prediction?
Lina Achaji, Julien Moreau, Thibault Fouqueray, Francois Aioun, Francois Charpillet
http://arxiv.org/abs/2107.08031v1
• [cs.CV]Multi-Level Contrastive Learning for Few-Shot Problems
Qing Chen, Jian Zhang
http://arxiv.org/abs/2107.07608v1
• [cs.CV]Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
Talha Qaiser, Stefan Winzeck, Theodore Barfoot, Tara Barwick, Simon J. Doran, Martin F. Kaiser, Linda Wedlake, Nina Tunariu, Dow-Mu Koh, Christina Messiou, Andrea Rockall, Ben Glocker
http://arxiv.org/abs/2107.07805v1
• [cs.CV]OdoViz: A 3D Odometry Visualization and Processing Tool
Saravanabalagi Ramachandran, John McDonald
http://arxiv.org/abs/2107.07557v1
• [cs.CV]Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks
Yugo Shimizu, Ryosuke Furuta, Delong Ouyang, Yukinobu Taniguchi, Ryota Hinami, Shonosuke Ishiwatari
http://arxiv.org/abs/2107.07943v1
• [cs.CV]Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Vivien Sainte Fare Garnot, Loic Landrieu
http://arxiv.org/abs/2107.07933v1
• [cs.CV]Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption
Patrick Hübner, Martin Weinmann, Sven Wursthorn, Stefan Hinz
http://arxiv.org/abs/2107.07778v1
• [cs.CV]Progressive Deep Video Dehazing without Explicit Alignment Estimation
Runde Li
http://arxiv.org/abs/2107.07837v1
• [cs.CV]Real-Time Face Recognition System for Remote Employee Tracking
Mohammad Sabik Irbaz, MD Abdullah Al Nasim, Refat E Ferdous
http://arxiv.org/abs/2107.07576v1
• [cs.CV]Real-Time Violence Detection Using CNN-LSTM
Mann Patel
http://arxiv.org/abs/2107.07578v1
• [cs.CV]Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition
Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian
http://arxiv.org/abs/2107.07746v1
• [cs.CV]Representation Consolidation for Training Expert Students
Zhizhong Li, Avinash Ravichandran, Charless Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto
http://arxiv.org/abs/2107.08039v1
• [cs.CV]Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation
Hao Wang, Euijoon Ahn, Jinman Kim
http://arxiv.org/abs/2107.07695v1
• [cs.CV]Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning
Zida Cheng, Siheng Chen, Ya Zhang
http://arxiv.org/abs/2107.07676v1
• [cs.CV]Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds
Xinxin Zuo, Sen Wang, Minglun Gong, Li Cheng
http://arxiv.org/abs/2107.07539v1
• [cs.CV]Unsupervised Discovery of Object Radiance Fields
Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu
http://arxiv.org/abs/2107.07905v1
• [cs.CY]Pilot Study Suggests Online Media Literacy Programming Reduces Belief in False News in Indonesia
Pamela Bilo Thomas, Clark Hogan-Taylor, Michael Yankoski, Tim Weninger
http://arxiv.org/abs/2107.08034v1
• [cs.DC]MD Simulation of Hundred-Billion-Metal-Atom Cascade Collision on Sunway Taihulight
Genshen Chu, Yang Li, Runchu Zhao, Shuai Ren, Wen Yang, Xinfu He, Chungjun Hu, Jue Wang
http://arxiv.org/abs/2107.07866v1
• [cs.DS]Correlation detection in trees for partial graph alignment
Luca Ganassali, Laurent Massoulié, Marc Lelarge
http://arxiv.org/abs/2107.07623v1
• [cs.DS]Estimation from Partially Sampled Distributed Traces
Otmar Ertl
http://arxiv.org/abs/2107.07703v1
• [cs.DS]Single Pass Entrywise-Transformed Low Rank Approximation
Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David P. Woodruff
http://arxiv.org/abs/2107.07889v1
• [cs.GR]Wasserstein Distances, Geodesics and Barycenters of Merge Trees
Mathieu Pont, Jules Vidal, Julie Delon, Julien Tierny
http://arxiv.org/abs/2107.07789v1
• [cs.HC]In-Bed Person Monitoring Using Thermal Infrared Sensors
Elias Josse, Amanda Nerborg, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez
http://arxiv.org/abs/2107.07986v1
• [cs.IR]A Survey of Knowledge Graph Embedding and Their Applications
Shivani Choudhary, Tarun Luthra, Ashima Mittal, Rajat Singh
http://arxiv.org/abs/2107.07842v1
• [cs.IR]DoReMi: First glance at a universal OMR dataset
Elona Shatri, György Fazekas
http://arxiv.org/abs/2107.07786v1
• [cs.IR]Modeling User Behaviour in Research Paper Recommendation System
Arpita Chaudhuri, Debasis Samanta, Monalisa Sarma
http://arxiv.org/abs/2107.07831v1
• [cs.IR]More Robust Dense Retrieval with Contrastive Dual Learning
Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu
http://arxiv.org/abs/2107.07773v1
• [cs.IT]A Fluctuating Line-of-Sight Fading Model with Double-Rayleigh Diffuse Scattering
Jesus Lopez-Fernandez, Pablo Ramirez Espinosa, Juan M. Romero-Jerez, F. Javier Lopez-Martinez
http://arxiv.org/abs/2107.07734v1
• [cs.IT]A Generic Transformation to Generate MDS Storage Codes with -Optimal Access Property
Yi Liu, Jie Li, Xiaohu Tang
http://arxiv.org/abs/2107.07733v1
• [cs.IT]Deep Learning Beam Optimization in Millimeter-Wave Communication Systems
Rafail Ismayilov, Renato L. G. Cavalcante, Sławomir Stańczak
http://arxiv.org/abs/2107.07846v1
• [cs.IT]Ergodic Rate Analysis of Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with ZF Detectors
Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang
http://arxiv.org/abs/2107.07925v1
• [cs.IT]Fast First-Order Algorithm for Large-Scale Max-Min Fair Multi-Group Multicast Beamforming
Chong Zhang, Min Dong, Ben Liang
http://arxiv.org/abs/2107.07540v1
• [cs.IT]Geometry of Information: classical and quantum aspects
Noemie Combe, Yuri I. Manin, Matilde Marcolli
http://arxiv.org/abs/2107.08006v1
• [cs.IT]Hybrid Analog and Digital Beamforming Design for Channel Estimation in Correlated Massive MIMO Systems
Javad Mirzaei, Shahram ShahbazPanahi, Foad Sohrabi, Raviraj Adve
http://arxiv.org/abs/2107.07622v1
• [cs.IT]Linear Programming Bounds for Almost-Balanced Binary Codes
Venkatesan Guruswami, Andrii Riazanov
http://arxiv.org/abs/2107.07672v1
• [cs.IT]Reconfigurable Intelligent Surface-Assisted Backscatter Communication: A New Frontier for Enabling 6G IoT Networks
Sarah Basharat, Syed Ali Hassan, Aamir Mahmood, Zhiguo Ding, Mikael Gidlund
http://arxiv.org/abs/2107.07813v1
• [cs.IT]Reed-Muller Identification
Mattia Spandri, Roberto Ferrara, Christian Deppe
http://arxiv.org/abs/2107.07649v1
• [cs.IT]The equivalence of linear codes implies semi-linear equivalence
Simeon Ball, James Dixon
http://arxiv.org/abs/2107.07912v1
• [cs.LG]A Channel Coding Benchmark for Meta-Learning
Rui Li, Ondrej Bohdal, Rajesh Mishra, Hyeji Kim, Da Li, Nicholas Lane, Timothy Hospedales
http://arxiv.org/abs/2107.07579v1
• [cs.LG]Active learning for online training in imbalanced data streams under cold start
Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro
http://arxiv.org/abs/2107.07724v1
• [cs.LG]Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks
Ismail Alarab, Simant Prakoonwit
http://arxiv.org/abs/2107.07618v1
• [cs.LG]An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling
Tim Hahn, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Lukas Fisch, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, German National Cohort Study Center Consortium, Harald Kugel, Tilo Kircher, Benjamin Risse, Christian Gaser, James H. Cole, Udo Dannlowski, Klaus Berger
http://arxiv.org/abs/2107.07977v1
• [cs.LG]Constrained Feedforward Neural Network Training via Reachability Analysis
Long Kiu Chung, Adam Dai, Derek Knowles, Shreyas Kousik, Grace X. Gao
http://arxiv.org/abs/2107.07696v1
• [cs.LG]EGC2: Enhanced Graph Classification with Easy Graph Compression
Jinyin Chen, Dunjie Zhang, Zhaoyan Ming, Mingwei Jia, Yi Liu
http://arxiv.org/abs/2107.07737v1
• [cs.LG]Graph Kernel Attention Transformers
Krzysztof Choromanski, Han Lin, Haoxian Chen, Jack Parker-Holder
http://arxiv.org/abs/2107.07999v1
• [cs.LG]Graph Representation Learning for Road Type Classification
Zahra Gharaee, Shreyas Kowshik, Oliver Stromann, Michael Felsberg
http://arxiv.org/abs/2107.07791v1
• [cs.LG]MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
Hao Chen, Ming Jin, Zhunan Li, Cunhang Fan, Jinpeng Li, Huiguang He
http://arxiv.org/abs/2107.07740v1
• [cs.LG]Measuring Fairness in Generative Models
Christopher T. H Teo, Ngai-Man Cheung
http://arxiv.org/abs/2107.07754v1
• [cs.LG]Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections
Hyeon Jeon, Hyung-Kwon Ko, Jaemin Jo, Youngtaek Kim, Jinwook Seo
http://arxiv.org/abs/2107.07859v1
• [cs.LG]Neural Contextual Anomaly Detection for Time Series
Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus
http://arxiv.org/abs/2107.07702v1
• [cs.LG]Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems
Shaan Desai, Marios Mattheakis, David Sondak, Pavlos Protopapas, Stephen Roberts
http://arxiv.org/abs/2107.08024v1
• [cs.LG]Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
Yang Li, Jiazheng Li, Yi Wang
http://arxiv.org/abs/2107.07738v1
• [cs.LG]Property-aware Adaptive Relation Networks for Molecular Property Prediction
Yaqing Wang, Abulikemu Abuduweili, Dejing Dou
http://arxiv.org/abs/2107.07994v1
• [cs.LG]Ranking labs-of-origin for genetically engineered DNA using Metric Learning
I. Muniz, F. H. F. Camargo, A. Marques
http://arxiv.org/abs/2107.07878v1
• [cs.LG]ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
http://arxiv.org/abs/2107.07709v1
• [cs.LG]Semi-supervised Learning for Marked Temporal Point Processes
Shivshankar Reddy, Anand Vir Singh Chauhan, Maneet Singh, Karamjit Singh
http://arxiv.org/abs/2107.07729v1
• [cs.LG]The Benchmark Lottery
Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals
http://arxiv.org/abs/2107.07002v1
• [cs.LG]Towards an Interpretable Latent Space in Structured Models for Video Prediction
Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla
http://arxiv.org/abs/2107.07713v1
• [cs.LG]Uncertainty Prediction for Machine Learning Models of Material Properties
Francesca Tavazza, Brian De Cost, Kamal Choudhary
http://arxiv.org/abs/2107.07997v1
• [cs.LG]When does loss-based prioritization fail?
Niel Teng Hu, Xinyu Hu, Rosanne Liu, Sara Hooker, Jason Yosinski
http://arxiv.org/abs/2107.07741v1
• [cs.NE]Controlling Recurrent Neural Networks by Diagonal Conceptors
J. P. de Jong
http://arxiv.org/abs/2107.07968v1
• [cs.NE]MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization
Yongxin Zhang, Jiahai Wang, Zizhen Zhang, Yalan Zhou
http://arxiv.org/abs/2107.07961v1
• [cs.NI]Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networks
Syed Ali Raza Zaidi
http://arxiv.org/abs/2107.07869v1
• [cs.PL]A method for decompilation of AMD GCN kernels to OpenCL
K. I. Mihajlenko, M. A. Lukin, A. S. Stankevich
http://arxiv.org/abs/2107.07809v1
• [cs.RO]A Comparison of Modern General-Purpose Visual SLAM Approaches
Alexey Merzlyakov, Steve Macenski
http://arxiv.org/abs/2107.07589v1
• [cs.RO]CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping
Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess
http://arxiv.org/abs/2107.07606v1
• [cs.RO]LT-mapper: A Modular Framework for LiDAR-based Lifelong Mapping
Giseop Kim, Ayoung Kim
http://arxiv.org/abs/2107.07712v1
• [cs.RO]Learning Locomotion Controllers for Walking Using Deep FBSDE
Bolun Dai, Virinchi Roy Surabhi, Prashanth Krishnamurthy, Farshad Khorrami
http://arxiv.org/abs/2107.07931v1
• [cs.RO]Partially Observable Markov Decision Processes (POMDPs) and Robotics
Hanna Kurniawati
http://arxiv.org/abs/2107.07599v1
• [cs.RO]Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness
Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford
http://arxiv.org/abs/2107.07707v1
• [cs.RO]Safety in human-multi robot collaborative scenarios: a trajectory scaling approach
Martina Lippi, Alessandro Marino
http://arxiv.org/abs/2107.07921v1
• [cs.RO]Versatile modular neural locomotion control with fast learning
Mathias Thor, Poramate Manoonpong
http://arxiv.org/abs/2107.07844v1
• [cs.RO]Weakly-Supervised Object Detection Learning through Human-Robot Interaction
Elisa Maiettini, Vadim Tikhanoff, Lorenzo Natale
http://arxiv.org/abs/2107.07901v1
• [cs.SD]Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach
Jan Berg, Konstantinos Drossos
http://arxiv.org/abs/2107.08028v1
• [cs.SD]Recognizing bird species in diverse soundscapes under weak supervision
Christof Henkel, Pascal Pfeiffer, Philipp Singer
http://arxiv.org/abs/2107.07728v1
• [cs.SI]SOK: Seeing and Believing: Evaluating the Trustworthiness of Twitter Users
Tanveer Khan, Antonis Michalas
http://arxiv.org/abs/2107.08027v1
• [cs.SI]The Paradox of Second-Order Homophily in Networks
Anna Evtushenko, Jon Kleinberg
http://arxiv.org/abs/2107.07751v1
• [econ.EM]Flexible Covariate Adjustments in Regression Discontinuity Designs
Claudia Noack, Tomasz Olma, Christoph Rothe
http://arxiv.org/abs/2107.07942v1
• [econ.EM]Subspace Shrinkage in Conjugate Bayesian Vector Autoregressions
Florian Huber, Gary Koop
http://arxiv.org/abs/2107.07804v1
• [econ.GN]Public Health, Technology, and Human Rights: Lessons from Digital Contact Tracing
Maria Carnovale, Khahlil Louisy
http://arxiv.org/abs/2107.07552v1
• [eess.AS]Multi-task Learning with Cross Attention for Keyword Spotting
Takuya Higuchi, Anmol Gupta, Chandra Dhir
http://arxiv.org/abs/2107.07634v1
• [eess.IV]Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network
Chen-Chou Lo, Patrick Vandewalle
http://arxiv.org/abs/2107.07596v1
• [eess.IV]Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study
Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra
http://arxiv.org/abs/2107.07761v1
• [eess.IV]Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
Nicolo Savioli, Antonio de Marvao, Wenjia Bai, Shuo Wang, Stuart A. Cook, Calvin W. L. Chin, Daniel Rueckert, Declan P. O’Regan
http://arxiv.org/abs/2107.07975v1
• [eess.IV]Lightness Modulated Deep Inverse Tone Mapping
Kanglin Liu, Gaofeng Cao, Jiang Duan, Guoping Qiu
http://arxiv.org/abs/2107.07907v1
• [eess.IV]NeXtQSM — A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data
Francesco Cognolato, Kieran O’Brien, Jin Jin, Simon Robinson, Frederik B. Laun, Markus Barth, Steffen Bollmann
http://arxiv.org/abs/2107.07752v1
• [eess.IV]Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
http://arxiv.org/abs/2107.07985v1
• [eess.SP]Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems
Rafail Ismayilov, Renato L. G. Cavalcante, Sławomir Stańczak
http://arxiv.org/abs/2107.07843v1
• [eess.SY]A DoE-based approach for the implementation of structural surrogate models in the early stage design of box-wing aircraft
Vittorio Cipolla, Vincenzo Binante, Karim Abu Salem, Giuseppe Palaia, Davide Zanetti
http://arxiv.org/abs/2107.07865v1
• [eess.SY]Reinforcement Learning for Optimal Stationary Control of Linear Stochastic Systems
Bo Pang, Zhong-Ping Jiang
http://arxiv.org/abs/2107.07788v1
• [math.OC]Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements
Kimon Antonakopoulos, Panayotis Mertikopoulos
http://arxiv.org/abs/2107.08011v1
• [math.OC]Efficient proximal gradient algorithms for joint graphical lasso
Jie Chen, Ryosuke Shimmura, Joe Suzuki
http://arxiv.org/abs/2107.0
5000
7799v1
5000
7799v1)
• [math.OC]Robust Online Control with Model Misspecification
Xinyi Chen, Udaya Ghai, Elad Hazan, Alexandre Megretski
http://arxiv.org/abs/2107.07732v1
• [math.OC]Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions
Charles F. Jekel, Raphael T. Haftka
http://arxiv.org/abs/2107.08035v1
• [math.PR]Self-normalized Cramer moderate deviations for a supercritical Galton-Watson process
Xiequan Fan, Qi-Man Shao
http://arxiv.org/abs/2107.07965v1
• [math.ST]A study on reliability of a -out-of-
system equipped with a cold standby component based on copula
Achintya Roy, Nitin Gupta
http://arxiv.org/abs/2107.08023v1
• [math.ST]Aggregating estimates by convex optimization
Anatoli Juditsky, Arkadi Nemirovski
http://arxiv.org/abs/2107.07836v1
• [math.ST]Chi-square and normal inference in high-dimensional multi-task regression
Pierre C Bellec, Gabriel Romon
http://arxiv.org/abs/2107.07828v1
• [math.ST]Intrinsic Dimension Adaptive Partitioning for Kernel Methods
Thomas Hamm, Ingo Steinwart
http://arxiv.org/abs/2107.07750v1
• [math.ST]Optimal tests of the composite null hypothesis arising in mediation analysis
Caleb H. Miles, Antoine Chambaz
http://arxiv.org/abs/2107.07575v1
• [physics.comp-ph]Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Ben Moseley, Andrew Markham, Tarje Nissen-Meyer
http://arxiv.org/abs/2107.07871v1
• [physics.flu-dyn]Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks
Ushnish Sengupta, Alexandros Kontogiannis, Matthew P. Juniper
http://arxiv.org/abs/2107.07863v1
• [physics.ins-det]Optical Inspection of the Silicon Micro-strip Sensors for the CBM Experiment employing Artificial Intelligence
E. Lavrik, M. Shiroya, H. R. Schmidt, A. Toia, J. M. Heuser
http://arxiv.org/abs/2107.07714v1
• [physics.soc-ph]The COVID-19 infodemic does not affect vaccine acceptance
Carlo M. Valensise, Matteo Cinelli, Matthieu Nadini, Alessandro Galeazzi, Antonio Peruzzi, Gabriele Etta, Fabiana Zollo, Andrea Baronchelli, Walter Quattrociocchi
http://arxiv.org/abs/2107.07946v1
• [quant-ph]The strong converse exponent of discriminating infinite-dimensional quantum states
Milán Mosonyi
http://arxiv.org/abs/2107.08036v1
• [stat.AP]Bayesian Markov Renewal Mixed Models for Vocalization Syntax
Yutong Wu, Erich D. Jarvis, Abhra Sarkar
http://arxiv.org/abs/2107.07648v1
• [stat.AP]Optimal-Design Domain-Adaptation for Exposure Prediction in Two-Stage Epidemiological Studies
Ron Sarafian, Itai Kloog, Jonathan D. Rosenblatt
http://arxiv.org/abs/2107.07602v1
• [stat.AP]Predicting Drought and Subsidence Risks in France
Arthur Charpentier, Molly James, Hani Ali
http://arxiv.org/abs/2107.07668v1
• [stat.ME]A New Robust Multivariate Mode Estimator for Eye-tracking Calibration
Adrien Brilhault, Sergio Neuenschwander, Ricardo Araujo Rios
http://arxiv.org/abs/2107.08030v1
• [stat.ME]Bootstrapping Through Discrete Convolutional Methods
Jared M. Clark, Richard L. Warr
http://arxiv.org/abs/2107.08019v1
• [stat.ME]Clarifying Selection Bias in Cluster Randomized Trials: Estimands and Estimation
Fan Li, Zizhong Tian, Jennifer Bobb, Georgia Papadogeorgou, Fan Li
http://arxiv.org/abs/2107.07967v1
• [stat.ME]Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference
Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza, Hernando Ombao
http://arxiv.org/abs/2107.07561v1
• [stat.ME]Nearest-Neighbor Geostatistical Models for Non-Gaussian Data
Xiaotian Zheng, Athanasios Kottas, Bruno Sansó
http://arxiv.org/abs/2107.07736v1
• [stat.ME]Nearly Unstable Integer-Valued ARCH Process and Unit Root Testing
Wagner Barreto-Souza, Ngai Hang Chan
http://arxiv.org/abs/2107.07963v1
• [stat.ME]Obtaining Causal Information by Merging Datasets with MAXENT
Sergio Hernan Garrido Mejia, Elke Kirschbaum, Dominik Janzing
http://arxiv.org/abs/2107.07640v1
• [stat.ME]Quantifying the economic response to COVID-19 mitigations and death rates via forecasting Purchasing Managers’ Indices using Generalised Network Autoregressive models with exogenous variables
Guy P Nason, James L Wei
http://arxiv.org/abs/2107.07605v1
• [stat.ME]Ranked Sparsity: A Cogent Regularization Framework for Selecting and Estimating Feature Interactions and Polynomials
Ryan A. Peterson, Joseph E. Cavanaugh
http://arxiv.org/abs/2107.07594v1
• [stat.ML]A Causal Perspective on Meaningful and Robust Algorithmic Recourse
Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup
http://arxiv.org/abs/2107.07853v1
• [stat.ML]Auto-differentiable Ensemble Kalman Filters
Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett
http://arxiv.org/abs/2107.07687v1
• [stat.ML]Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods
Marylou Gabrié, Grant M. Rotskoff, Eric Vanden-Eijnden
http://arxiv.org/abs/2107.08001v1
• [stat.ML]Online Graph Topology Learning from Matrix-valued Time Series
Yiye Jiang, Jérémie Bigot, Sofian Maabout
http://arxiv.org/abs/2107.08020v1
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