astro-ph.GA - 星系天体物理学
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.DC - 分布式、并行与集群计算
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.RO - 机器人学
cs.SD - 声音处理
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
math.CO - 组合数学
math.OC - 优化与控制
math.PR - 概率
math.SP - 谱理论
math.ST - 统计理论
physics.bio-ph - 生物物理
physics.geo-ph - 地球物理学
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.GA]Clearing the hurdle: The mass of globular cluster systems as a function of host galaxy mass
• [cs.AI]Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
• [cs.AI]Learning to Be Cautious
• [cs.AI]Universal Decision Models
• [cs.CC]On Structural Parameterizations of the Offensive Alliance Problem
• [cs.CL]Amendable Generation for Dialogue State Tracking
• [cs.CL]Automatic Hand Sign Recognition: Identify Unusuality through Latent Cognizance
• [cs.CL]Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities
• [cs.CL]Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition
• [cs.CL]Comparing Machine Learning-Centered Approaches for Forecasting Language Patterns During Frustration in Early Childhood
• [cs.CL]From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey
• [cs.CL]Handshakes AI Research at CASE 2021 Task 1: Exploring different approaches for multilingual tasks
• [cs.CL]How to Leverage Multimodal EHR Data for Better Medical Predictions?
• [cs.CL]Learning Personal Food Preferences via Food Logs Embedding
• [cs.CL]MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare
• [cs.CL]MetaICL: Learning to Learn In Context
• [cs.CL]NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
• [cs.CL]Overview of ADoBo 2021: Automatic Detection of Unassimilated Borrowings in the Spanish Press
• [cs.CL]Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings
• [cs.CL]Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
• [cs.CL]Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
• [cs.CL]Transformer Ensembles for Sexism Detection
• [cs.CL]Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence
• [cs.CL]Using Text Analytics for Health to Get Meaningful Insights from a Corpus of COVID Scientific Papers
• [cs.CL]What makes us curious? analysis of a corpus of open-domain questions
• [cs.CR]A Comprehensive Study on Learning-Based PE Malware Family Classification Methods
• [cs.CV]A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
• [cs.CV]A deep convolutional neural network for classification of Aedes albopictus mosquitoes
• [cs.CV]Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures
• [cs.CV]Attacking Video Recognition Models with Bullet-Screen Comments
• [cs.CV]Estimating and Maximizing Mutual Information for Knowledge Distillation
• [cs.CV]Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals
• [cs.CV]False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation
• [cs.CV]Gabor filter incorporated CNN for compression
• [cs.CV]Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels
• [cs.CV]Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
• [cs.CV]Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition
• [cs.CV]Multi-target tracking for video surveillance using deep affinity network: a brief review
• [cs.CV]Novel View Synthesis from a Single Image via Unsupervised learning
• [cs.CV]On the use of uncertainty in classifying Aedes Albopictus mosquitoes
• [cs.CV]PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation
• [cs.CV]ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition
• [cs.CV]Scale-Aware Dynamic Network for Continuous-Scale Super-Resolution
• [cs.CV]UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models
• [cs.CV]Unsupervised Foreground Extraction via Deep Region Competition
• [cs.CV]Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling
• [cs.CV]Visual Keyword Spotting with Attention
• [cs.CV]Visual Spatio-temporal Relation-enhanced Network for Cross-modal Text-Video Retrieval
• [cs.CY]Incentives for Item Duplication under Fair Ranking Policies
• [cs.DC]DFL: High-Performance Blockchain-Based Federated Learning
• [cs.DC]DeF-DReL: Systematic Deployment of Serverless Functions in Fog and Cloud environments using Deep Reinforcement Learning
• [cs.DC]OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
• [cs.DC]SDP: Scalable Real-time Dynamic Graph Partitioner
• [cs.DC]Trustworthy Pre-Processing of Sensor Data in Data On-chaining Workflows for Blockchain-based IoT Applications
• [cs.HC]A Protocol for Emotions
• [cs.HC]Reducing the Human Factor in Virtual Reality Research to Increase Reproducibility and Replicability
• [cs.IR]D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning
• [cs.IR]Dense Hierarchical Retrieval for Open-Domain Question Answering
• [cs.IR]On the Feasibility of Predicting Questions being Forgotten in Stack Overflow
• [cs.IR]Two-sided fairness in rankings via Lorenz dominance
• [cs.IT]Construction of APN permutations via Walsh zero spaces
• [cs.IT]Intelligent Reflecting Surface-Aided Wideband THz Communications: Modeling and Analysis
• [cs.IT]Iterative and greedy algorithms for the sparsity in levels model in compressed sensing
• [cs.IT]Joint Channel Estimation and Data Detection in Cell-Free Massive MU-MIMO Systems
• [cs.IT]Non-existence results for vectorial bent functions with Dillon exponent
• [cs.IT]On the Performance of Multihop THz Wireless System Over Mixed Channel Fading with Shadowing and Antenna Misalignment
• [cs.IT]On the Use of CSI for the Generation of RF Fingerprints and Secret Keys
• [cs.IT]Performance Analysis of Dual-Hop THz Wireless Transmission for Backhaul Applications
• [cs.IT]Some Remarks on Bayesian Multiple Hypothesis Testing
• [cs.LG]A Pre-processing Method for Fairness in Ranking
• [cs.LG]ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning
• [cs.LG]Barlow Graph Auto-Encoder for Unsupervised Network Embedding
• [cs.LG]Bayesian Optimal Experimental Design for Simulator Models of Cognition
• [cs.LG]BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
• [cs.LG]Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
• [cs.LG]Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
• [cs.LG]CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method
• [cs.LG]Collaborative Pure Exploration in Kernel Bandit
• [cs.LG]Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words
• [cs.LG]Convergence of Uncertainty Sampling for Active Learning
• [cs.LG]Crowd-sensing Enhanced Parking Patrol using Sharing Bikes’ Trajectories
• [cs.LG]Cycle-Balanced Representation Learning For Counterfactual Inference
• [cs.LG]Deconvolutional Networks on Graph Data
• [cs.LG]Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
• [cs.LG]Does Momentum Help? A Sample Complexity Analysis
• [cs.LG]Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing
• [cs.LG]GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
• [cs.LG]GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
• [cs.LG]Holistic Deep Learning
• [cs.LG]Hyperparameter Tuning is All You Need for LISTA
• [cs.LG]Improving Fairness via Federated Learning
• [cs.LG]Improving the quality of generative models through Smirnov transformation
• [cs.LG]Latent Cognizance: What Machine Really Learns
• [cs.LG]Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System
• [cs.LG]Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training
• [cs.LG]Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm
• [cs.LG]Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning
• [cs.LG]Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment
• [cs.LG]On Label Shift in Domain Adaptation via Wasserstein Distance
• [cs.LG]Personalized breath based biometric authentication with wearable multimodality
• [cs.LG]Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC
• [cs.LG]Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning
• [cs.LG]RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification
• [cs.LG]Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation
• [cs.LG]Selective Regression Under Fairness Criteria
• [cs.LG]Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
• [cs.LG]Topological Relational Learning on Graphs
• [cs.LG]Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results
• [cs.LG]Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit
• [cs.LG]Understanding the Effect of Stochasticity in Policy Optimization
• [cs.LG]VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
• [cs.LG]Xi-Learning: Successor Feature Transfer Learning for General Reward Functions
• [cs.LG]ε-weakened Robustness of Deep Neural Networks
• [cs.RO]A hierarchical behavior prediction framework at signalized intersections
• [cs.RO]ARviz — An Augmented Reality-enabled Visualization Platform for ROS Applications
• [cs.RO]Contact Transfer: A Direct, User-Driven Method for Human to Robot Transfer of Grasps and Manipulations
• [cs.RO]Equivariant Learning in Spatial Action Spaces
• [cs.RO]Human-Computer Interaction Glow Up: Examining Operational Trust and Intention Towards Mars Autonomous Systems
• [cs.RO]Upper and Lower Bounds for End-to-End Risks in Stochastic Robot Navigation
• [cs.SD]Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction
• [cs.SI]Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter
• [eess.AS]Fusing ASR Outputs in Joint Training for Speech Emotion Recognition
• [eess.IV]3D-OOCS: Learning Prostate Segmentation with Inductive Bias
• [eess.IV]AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT images in Covid-19 Patients
• [eess.IV]An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging
• [eess.IV]C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation
• [eess.IV]CVAD: A generic medical anomaly detector based on Cascade VAE
• [eess.IV]Unsupervised PET Reconstruction from a Bayesian Perspective
• [eess.IV]Whole Brain Segmentation with Full Volume Neural Network
• [eess.SP]Low-Complexity Geometrical Shaping for 4D Modulation Formats via Amplitude Coding
• [math.CO]Equiangular lines and regular graphs
• [math.OC]An SDP dual relaxation for the Robust Shortest Path Problem with ellipsoidal uncertainty: Pierra’s decomposition method and a new primal Frank-Wolfe-type heuristics for duality gap evaluation
• [math.OC]Decentralized Feature-Distributed Optimization for Generalized Linear Models
• [math.OC]Landscape analysis of an improved power method for tensor decomposition
• [math.PR]A probabilistic view of latent space graphs and phase transitions
• [math.PR]Most probable paths for anisotropic Brownian motions on manifolds
• [math.SP]Sampling low-spectrum signals on graphs via cluster-concentrated modes: examples
• [math.ST]A Hadamard fractioal total variation-Gaussian (HFTG) prior for Bayesian inverse problems
• [math.ST]Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff
• [math.ST]Neyman-Pearson lemma for Bayes factors
• [math.ST]Nonparametric Estimation for I.I.D. Paths of a Martingale Driven Model with Application to Non-Autonomous Fractional SDE
• [math.ST]On the Disjoint and Sliding Block Maxima method for piecewise stationary time series
• [math.ST]Optimal prediction for kernel-based semi-functional linear regression
• [math.ST]Sliding window strategy for convolutional spike sorting with Lasso : Algorithm, theoretical guarantees and complexity
• [math.ST]Support Recovery with Stochastic Gates: Theory and Application for Linear Models
• [physics.bio-ph]Data-driven Uncertainty Quantification in Computational Human Head Models
• [physics.geo-ph]Reproducing size distributions of swarms of barchan dunes on Mars and Earth using a mean-field model
• [physics.soc-ph]Characterising and modeling the co-evolution of transportation networks and territories
• [quant-ph]Improved FRQI on superconducting processors and its restrictions in the NISQ era
• [quant-ph]QDCNN: Quantum Dilated Convolutional Neural Network
• [stat.AP]Assessing present and future risk of water damage using building attributes, meteorology and topography
• [stat.AP]Sequential Detection of a Temporary Change in Multivariate Time Series
• [stat.AP]Statistical Review of Animal trials — A Guideline
• [stat.ME]CP Factor Model for Dynamic Tensors
• [stat.ME]Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations
• [stat.ME]Estimating the Distribution of Ratio of Paired Event Times in Phase II Oncology Trials
• [stat.ME]Interval Estimation of Relative Risks for Combined Unilateral and Bilateral Correlated Data
• [stat.ME]Kernel-based Partial Permutation Test for Detecting Heterogeneous Functional Relationship
• [stat.ME]Multiple-Splitting Projection Test for High-Dimensional Mean Vectors
• [stat.ME]Privacy Preserving Inference on the Ratio of Two Gaussians Using (Weighted) Sums
• [stat.ME]Quality control, data cleaning, imputation
• [stat.ME]The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems
• [stat.ML]A/B/n Testing with Control in the Presence of Subpopulations
• [stat.ML]Adaptive Discretization in Online Reinforcement Learning
• [stat.ML]Adversarial Robustness with Semi-Infinite Constrained Learning
• [stat.ML]Aligned Multi-Task Gaussian Process
• [stat.ML]DOCKSTRING: easy molecular docking yields better benchmarks for ligand design
• [stat.ML]Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
• [stat.ML]Open Problem: Tight Online Confidence Intervals for RKHS Elements
• [stat.ML]Resampling Base Distributions of Normalizing Flows
• [stat.ML]Variational Bayesian Optimistic Sampling
·····································
• [astro-ph.GA]Clearing the hurdle: The mass of globular cluster systems as a function of host galaxy mass
Gwendolyn M. Eadie, William E. Harris, Aaron Springford
http://arxiv.org/abs/2110.15376v1
• [cs.AI]Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang
http://arxiv.org/abs/2110.15926v1
• [cs.AI]Learning to Be Cautious
Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
http://arxiv.org/abs/2110.15907v1
• [cs.AI]Universal Decision Models
Sridhar Mahadevan
http://arxiv.org/abs/2110.15431v1
• [cs.CC]On Structural Parameterizations of the Offensive Alliance Problem
Ajinkya Gaikwad, Soumen Maity
http://arxiv.org/abs/2110.15757v1
• [cs.CL]Amendable Generation for Dialogue State Tracking
Xin Tian, Liankai Huang, Yingzhan Lin, Siqi Bao, Huang He, Yunyi Yang, Hua Wu, Fan Wang, Shuqi Sun
http://arxiv.org/abs/2110.15659v1
• [cs.CL]Automatic Hand Sign Recognition: Identify Unusuality through Latent Cognizance
Pisit Nakjai, Tatpong Katanyukul
http://arxiv.org/abs/2110.15542v1
• [cs.CL]Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities
Simmi Marina Joseph, Salvatore Citraro, Virginia Morini, Giulio Rossetti, Massimo Stella
http://arxiv.org/abs/2110.15269v2
• [cs.CL]Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition
Chak-Fai Li, Francis Keith, William Hartmann, Matthew Snover
http://arxiv.org/abs/2110.15836v1
• [cs.CL]Comparing Machine Learning-Centered Approaches for Forecasting Language Patterns During Frustration in Early Childhood
Arnav Bhakta, Yeunjoo Kim, Pamela Cole
http://arxiv.org/abs/2110.15778v1
• [cs.CL]From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey
Enrica Troiano, Aswathy Velutharambath, and Roman Klinger
http://arxiv.org/abs/2110.15871v1
• [cs.CL]Handshakes AI Research at CASE 2021 Task 1: Exploring different approaches for multilingual tasks
Vivek Kalyan, Paul Tan, Shaun Tan, Martin Andrews
http://arxiv.org/abs/2110.15599v1
• [cs.CL]How to Leverage Multimodal EHR Data for Better Medical Predictions?
Bo Yang, Lijun Wu
http://arxiv.org/abs/2110.15763v1
• [cs.CL]Learning Personal Food Preferences via Food Logs Embedding
Ahmed A. Metwally, Ariel K. Leong, Aman Desai, Anvith Nagarjuna, Dalia Perelman, Michael Snyder
http://arxiv.org/abs/2110.15498v1
• [cs.CL]MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare
Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria
http://arxiv.org/abs/2110.15621v1
• [cs.CL]MetaICL: Learning to Learn In Context
Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi
http://arxiv.org/abs/2110.15943v1
• [cs.CL]NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu
http://arxiv.org/abs/2110.15766v1
• [cs.CL]Overview of ADoBo 2021: Automatic Detection of Unassimilated Borrowings in the Spanish Press
Elena Álvarez Mellado, Luis Espinosa Anke, Julio Gonzalo Arroyo, Constantine Lignos, Jordi Porta Zamorano
http://arxiv.org/abs/2110.15682v1
• [cs.CL]Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings
Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun
http://arxiv.org/abs/2110.15622v1
• [cs.CL]Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu
http://arxiv.org/abs/2110.15527v1
• [cs.CL]Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Young-Suk Lee, Radu Florian, Salim Roukos
http://arxiv.org/abs/2110.15534v1
• [cs.CL]Transformer Ensembles for Sexism Detection
Lily Davies, Marta Baldracchi, Carlo Alessandro Borella, Konstantinos Perifanos
http://arxiv.org/abs/2110.15905v1
• [cs.CL]Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence
Letian Peng, Zuchao Li, Hai Zhao
http://arxiv.org/abs/2110.15931v1
• [cs.CL]Using Text Analytics for Health to Get Meaningful Insights from a Corpus of COVID Scientific Papers
Dmitry Soshnikov, Vickie Soshnikova
http://arxiv.org/abs/2110.15453v1
• [cs.CL]What makes us curious? analysis of a corpus of open-domain questions
Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini
http://arxiv.org/abs/2110.15409v1
• [cs.CR]A Comprehensive Study on Learning-Based PE Malware Family Classification Methods
Yixuan Ma, Shuang Liu, Jiajun Jiang, Guanhong Chen, Keqiu Li
http://arxiv.org/abs/2110.15552v1
• [cs.CV]A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
Xingang Pan, Xudong Xu, Chen Change Loy, Christian Theobalt, Bo Dai
http://arxiv.org/abs/2110.15678v1
• [cs.CV]A deep convolutional neural network for classification of Aedes albopictus mosquitoes
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
http://arxiv.org/abs/2110.15956v1
• [cs.CV]Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures
Shahin Ghazvineh, Gholamreza Nouri, Seyed Hossein Hosseini Lavassani, Vahidreza Gharehbaghi, Andy Nguyen
http://arxiv.org/abs/2110.15895v1
• [cs.CV]Attacking Video Recognition Models with Bullet-Screen Comments
Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
http://arxiv.org/abs/2110.15629v1
• [cs.CV]Estimating and Maximizing Mutual Information for Knowledge Distillation
Aman Shrivastava, Yanjun Qi, Vicente Ordonez
http://arxiv.org/abs/2110.15946v1
• [cs.CV]Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals
Maoyu Mao, Jun Yang
http://arxiv.org/abs/2110.15561v1
• [cs.CV]False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation
Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
http://arxiv.org/abs/2110.15681v1
• [cs.CV]Gabor filter incorporated CNN for compression
Akihiro Imamura, Nana Arizumi
http://arxiv.org/abs/2110.15644v1
• [cs.CV]Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels
Nobukatsu Kajiura, Hong Liu, Shin’ichi Satoh
http://arxiv.org/abs/2110.15606v1
• [cs.CV]Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry
http://arxiv.org/abs/2110.15904v1
• [cs.CV]Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition
Dinghao Fan, Hengjie Lu, Shugong Xu, Shan Cao
http://arxiv.org/abs/2110.15639v1
• [cs.CV]Multi-target tracking for video surveillance using deep affinity network: a brief review
Sanam Nisar Mangi
http://arxiv.org/abs/2110.15674v1
• [cs.CV]Novel View Synthesis from a Single Image via Unsupervised learning
Bingzheng Liu, Jianjun Lei, Bo Peng, Chuanbo Yu, Wanqing Li, Nam Ling
http://arxiv.org/abs/2110.15569v1
• [cs.CV]On the use of uncertainty in classifying Aedes Albopictus mosquitoes
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
http://arxiv.org/abs/2110.15912v1
• [cs.CV]PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation
Kaitai Zhang, Bin Wang, C. -C. Jay Kuo
http://arxiv.org/abs/2110.15525v1
• [cs.CV]ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition
Masahiro Mitsuhara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
http://arxiv.org/abs/2110.15574v1
• [cs.CV]Scale-Aware Dynamic Network for Continuous-Scale Super-Resolution
Hanlin Wu, Ning Ni, Libao Zhang
http://arxiv.org/abs/2110.15655v1
• [cs.CV]UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models
Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman
http://arxiv.org/abs/2110.15499v1
• [cs.CV]Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
http://arxiv.org/abs/2110.15497v1
• [cs.CV]Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling
Yiheng Liu, Wengang Zhou, Qiaokang Xie, Houqiang Li
http://arxiv.org/abs/2110.15610v1
• [cs.CV]Visual Keyword Spotting with Attention
K R Prajwal, Liliane Momeni, Triantafyllos Afouras, Andrew Zisserman
http://arxiv.org/abs/2110.15957v1
• [cs.CV]Visual Spatio-temporal Relation-enhanced Network for Cross-modal Text-Video Retrieval
Ning Han, Jingjing Chen, Guangyi Xiao, Yawen Zeng, Chuhao Shi, Hao Chen
http://arxiv.org/abs/2110.15609v1
• [cs.CY]Incentives for Item Duplication under Fair Ranking Policies
Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
http://arxiv.org/abs/2110.15683v1
• [cs.DC]DFL: High-Performance Blockchain-Based Federated Learning
Yongding Tian, Zhuoran Guo, Jiaxuan Zhang, Zaid Al-Ars
http://arxiv.org/abs/2110.15457v1
• [cs.DC]DeF-DReL: Systematic Deployment of Serverless Functions in Fog and Cloud environments using Deep Reinforcement Learning
Chinmaya Kumar Dehurya, Shivananda Poojaraa, Shridhar Domanalb, Satish Narayana Srirama
http://arxiv.org/abs/2110.15702v1
• [cs.DC]OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Jinhui Yuan, Xinqi Li, Cheng Cheng, Juncheng Liu, Ran Guo, Shenghang Cai, Chi Yao, Fei Yang, Xiaodong Yi, Chuan Wu, Haoran Zhang, Jie Zhao
http://arxiv.org/abs/2110.15032v2
• [cs.DC]SDP: Scalable Real-time Dynamic Graph Partitioner
Md Anwarul Kaium Patwary, Saurabh Garg, Sudheer Kumar Battula, Byeong Kang
http://arxiv.org/abs/2110.15669v1
• [cs.DC]Trustworthy Pre-Processing of Sensor Data in Data On-chaining Workflows for Blockchain-based IoT Applications
Jonathan Heiss, Anselm Busse, Stefan Tai
http://arxiv.org/abs/2110.15869v1
• [cs.HC]A Protocol for Emotions
Gabriele Costa
http://arxiv.org/abs/2110.15695v1
• [cs.HC]Reducing the Human Factor in Virtual Reality Research to Increase Reproducibility and Replicability
Daniel Hepperle, Tobias Dienlin, Matthias Wölfel
http://arxiv.org/abs/2110.15687v1
• [cs.IR]D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning
Vahid Baghi, Seyed Mohammad Seyed Motehayeri, Ali Moeini, Rooholah Abedian
http://arxiv.org/abs/2110.15089v2
• [cs.IR]Dense Hierarchical Retrieval for Open-Domain Question Answering
Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu
http://arxiv.org/abs/2110.15439v1
• [cs.IR]On the Feasibility of Predicting Questions being Forgotten in Stack Overflow
Thi Huyen Nguyen, Tu Nguyen, Tuan-Anh Hoang, Claudia Niederée
http://arxiv.org/abs/2110.15789v1
• [cs.IR]Two-sided fairness in rankings via Lorenz dominance
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier
http://arxiv.org/abs/2110.15781v1
• [cs.IT]Construction of APN permutations via Walsh zero spaces
Benjamin Chase, Petr Lisonek
http://arxiv.org/abs/2110.15582v1
• [cs.IT]Intelligent Reflecting Surface-Aided Wideband THz Communications: Modeling and Analysis
Konstantinos Dovelos, Stylianos D. Assimonis, Hien Quoc Ngo, Boris Bellalta, Michail Matthaiou
http://arxiv.org/abs/2110.15768v1
• [cs.IT]Iterative and greedy algorithms for the sparsity in levels model in compressed sensing
Ben Adcock, Simone Brugiapaglia, Matthew King-Roskamp
http://arxiv.org/abs/2110.15420v1
• [cs.IT]Joint Channel Estimation and Data Detection in Cell-Free Massive MU-MIMO Systems
Haochuan Song, Tom Goldstein, Xiaohu You, Chuan Zhang, Olav Tirkkonen, Christoph Studer
http://arxiv.org/abs/2110.15928v1
• [cs.IT]Non-existence results for vectorial bent functions with Dillon exponent
Lucien Lapierre, Petr Lisonek
http://arxiv.org/abs/2110.15585v1
• [cs.IT]On the Performance of Multihop THz Wireless System Over Mixed Channel Fading with Shadowing and Antenna Misalignment
Pranay Bhardwaj, S. M. Zafaruddin
http://arxiv.org/abs/2110.15952v1
• [cs.IT]On the Use of CSI for the Generation of RF Fingerprints and Secret Keys
Muralikrishnan Srinivasan, Sotiris Skaperas, Arsenia Chorti
http://arxiv.org/abs/2110.15415v1
• [cs.IT]Performance Analysis of Dual-Hop THz Wireless Transmission for Backhaul Applications
Vinay U. Pai, Pranay Bhardwaj, S. M. Zafaruddin
http://arxiv.org/abs/2110.15919v1
• [cs.IT]Some Remarks on Bayesian Multiple Hypothesis Testing
Hüseyin Afşer
http://arxiv.org/abs/2110.15783v1
• [cs.LG]A Pre-processing Method for Fairness in Ranking
Ryosuke Sonoda
http://arxiv.org/abs/2110.15503v1
• [cs.LG]ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning
Maoguo Gong, Yuan Gao, Yue Wu, A. K. Qin
http://arxiv.org/abs/2110.15522v1
• [cs.LG]Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Rayyan Ahmad Khan, Martin Kleinsteuber
http://arxiv.org/abs/2110.15742v1
• [cs.LG]Bayesian Optimal Experimental Design for Simulator Models of Cognition
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas
http://arxiv.org/abs/2110.15632v1
• [cs.LG]BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
Abdelrahman Hosny, Marina Neseem, Sherief Reda
http://arxiv.org/abs/2110.15362v1
• [cs.LG]Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira
http://arxiv.org/abs/2110.15700v1
• [cs.LG]Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
http://arxiv.org/abs/2110.15481v1
• [cs.LG]CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method
Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
http://arxiv.org/abs/2110.15832v1
• [cs.LG]Collaborative Pure Exploration in Kernel Bandit
Yihan Du, Wei Chen, Yuko Yuroki, Longbo Huang
http://arxiv.org/abs/2110.15771v1
• [cs.LG]Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words
Santiago Cuervo, Maciej Grabias, Jan Chorowski, Grzegorz Ciesielski, Adrian Łańcucki, Paweł Rychlikowski, Ricard Marxer
http://arxiv.org/abs/2110.15909v1
• [cs.LG]Convergence of Uncertainty Sampling for Active Learning
Anant Raj, Francis Bach
http://arxiv.org/abs/2110.15784v1
• [cs.LG]Crowd-sensing Enhanced Parking Patrol using Sharing Bikes’ Trajectories
Tianfu He, Jie Bao, Yexin Li, Hui He, Hui He
http://arxiv.org/abs/2110.15557v1
• [cs.LG]Cycle-Balanced Representation Learning For Counterfactual Inference
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
http://arxiv.org/abs/2110.15484v1
• [cs.LG]Deconvolutional Networks on Graph Data
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
http://arxiv.org/abs/2110.15528v1
• [cs.LG]Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
Josep Lluis Berral, Oriol Aranda, Juan Luis Dominguez, Jordi Torres
http://arxiv.org/abs/2110.15884v1
• [cs.LG]Does Momentum Help? A Sample Complexity Analysis
Gugan Thoppe, Rohan Deb, Swetha Ganesh, Amarjit Budhiraja
http://arxiv.org/abs/2110.15547v1
• [cs.LG]Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing
Ryosuke Hanahara, Sohei Itahara, Kota Yamashita, Yusuke Koda, Akihito Taya, Takayuki Nishio, Koji Yamamoto
http://arxiv.org/abs/2110.15660v1
• [cs.LG]GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang
http://arxiv.org/abs/2110.15777v1
• [cs.LG]GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
Sumedh A Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
http://arxiv.org/abs/2110.15489v1
• [cs.LG]Holistic Deep Learning
Dimitris Bertsimas, Léonard Boussioux, Kimberly Villalobos Carballo, Michael Lingzhi Li, Alex Paskov, Ivan Paskov
http://arxiv.org/abs/2110.15829v1
• [cs.LG]Hyperparameter Tuning is All You Need for LISTA
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
http://arxiv.org/abs/2110.15900v1
• [cs.LG]Improving Fairness via Federated Learning
Yuchen Zeng, Hongxu Chen, Kangwook Lee
http://arxiv.org/abs/2110.15545v1
• [cs.LG]Improving the quality of generative models through Smirnov transformation
Ángel González-Prieto, Alberto Mozo, Sandra Gómez-Canaval, Edgar Talavera
http://arxiv.org/abs/2110.15914v1
• [cs.LG]Latent Cognizance: What Machine Really Learns
Pisit Nakjai, Jiradej Ponsawat, Tatpong Katanyukul
http://arxiv.org/abs/2110.15548v1
• [cs.LG]Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
http://arxiv.org/abs/2110.15779v1
• [cs.LG]Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training
Huy Tuan Pham, Phan-Minh Nguyen
http://arxiv.org/abs/2110.15954v1
• [cs.LG]Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm
Yubin Liu, Qiming Ye, Yuxiang Feng, Jose Escribano-Macias, Panagiotis Angeloudis
http://arxiv.org/abs/2110.15485v1
• [cs.LG]Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
http://arxiv.org/abs/2110.15762v1
• [cs.LG]Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment
Dang Nguyen, Khai Nguyen, Dinh Phung, Hung Bui, Nhat Ho
http://arxiv.org/abs/2110.15538v1
• [cs.LG]On Label Shift in Domain Adaptation via Wasserstein Distance
Trung Le, Dat Do, Tuan Nguyen, Huy Nguyen, Hung Bui, Nhat Ho, Dinh Phung
http://arxiv.org/abs/2110.15520v1
• [cs.LG]Personalized breath based biometric authentication with wearable multimodality
Manh-Ha Bui, Viet-Anh Tran, Cuong Pham
http://arxiv.org/abs/2110.15941v1
• [cs.LG]Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC
Felix Bünning, Benjamin Huber, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, Roy S. Smith, John Lygeros
http://arxiv.org/abs/2110.15911v1
• [cs.LG]Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning
Kartik Ahuja, Jason Hartford, Yoshua Bengio
http://arxiv.org/abs/2110.15796v1
• [cs.LG]RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification
Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin Rousseau, Yifan Peng, Ying Ding
http://arxiv.org/abs/2110.15426v1
• [cs.LG]Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation
Arno Solin, Ella Tamir, Prakhar Verma
http://arxiv.org/abs/2110.15739v1
• [cs.LG]Selective Regression Under Fairness Criteria
Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
http://arxiv.org/abs/2110.15403v1
• [cs.LG]Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
Christian Gumbsch, Martin V. Butz, Georg Martius
http://arxiv.org/abs/2110.15949v1
• [cs.LG]Topological Relational Learning on Graphs
Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
http://arxiv.org/abs/2110.15529v1
• [cs.LG]Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results
Jayant Gupta, Carl Molnar, Gaoxiang Luo, Joe Knight, Shashi Shekhar
http://arxiv.org/abs/2110.15866v1
• [cs.LG]Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit
Karl Hajjar, Lénaïc Chizat, Christophe Giraud
http://arxiv.org/abs/2110.15596v1
• [cs.LG]Understanding the Effect of Stochasticity in Policy Optimization
Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvari, Dale Schuurmans
http://arxiv.org/abs/2110.15572v1
• [cs.LG]VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
Yizhou Zhang, Karishma Sharma, Yan Liu
http://arxiv.org/abs/2110.15454v1
• [cs.LG]Xi-Learning: Successor Feature Transfer Learning for General Reward Functions
Chris Reinke, Xavier Alameda-Pineda
http://arxiv.org/abs/2110.15701v1
• [cs.LG]ε-weakened Robustness of Deep Neural Networks
Pei Huang, Yuting Yang, Minghao Liu, Fuqi Jia, Feifei Ma, Jian Zhang
http://arxiv.org/abs/2110.15764v1
• [cs.RO]A hierarchical behavior prediction framework at signalized intersections
Zhen Yang, Rusheng Zhang, Henry X. Liu
http://arxiv.org/abs/2110.15465v1
• [cs.RO]ARviz — An Augmented Reality-enabled Visualization Platform for ROS Applications
Khoa C. Hoang, Wesley P. Chan, Steven Lay, Akansel Cosgun, Elizabeth A. Croft
http://arxiv.org/abs/2110.15521v1
• [cs.RO]Contact Transfer: A Direct, User-Driven Method for Human to Robot Transfer of Grasps and Manipulations
Arjun Lakshmipathy, Dominik Bauer, Cornelia Bauer, Nancy S. Pollard
http://arxiv.org/abs/2110.15532v1
• [cs.RO]Equivariant Learning in Spatial Action Spaces
Dian Wang, Robin Walters, Xupeng Zhu, Robert Platt
http://arxiv.org/abs/2110.15443v1
• [cs.RO]Human-Computer Interaction Glow Up: Examining Operational Trust and Intention Towards Mars Autonomous Systems
Thomas Chan, Jeremy Argueta, Jazlyn Armendariz, Allison Graham, Sarah Hwang, Basak Ramaswamy, So Young Kim, Scott Davidoff
http://arxiv.org/abs/2110.15460v1
• [cs.RO]Upper and Lower Bounds for End-to-End Risks in Stochastic Robot Navigation
Apurva Patil, Takashi Tanaka
http://arxiv.org/abs/2110.15879v1
• [cs.SD]Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction
Heming Wang, Yao Qian, Xiaofei Wang, Yiming Wang, Chengyi Wang, Shujie Liu, Takuya Yoshioka, Jinyu Li, DeLiang Wang
http://arxiv.org/abs/2110.15430v1
• [cs.SI]Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter
Tanvi Karandikar, Avinash Prabhu, Avinash Tulasi, Arun Balaji Buduru, Ponnurangam Kumaraguru
http://arxiv.org/abs/2110.15923v1
• [eess.AS]Fusing ASR Outputs in Joint Training for Speech Emotion Recognition
Yuanchao Li, Peter Bell, Catherine Lai
http://arxiv.org/abs/2110.15684v1
• [eess.IV]3D-OOCS: Learning Prostate Segmentation with Inductive Bias
Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca Grosu, Radu Grosu
http://arxiv.org/abs/2110.15664v1
• [eess.IV]AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT images in Covid-19 Patients
Sabeerali K. P, Saleena T. S, Dr. Muhamed Ilyas P, Dr. Neha Mohan
http://arxiv.org/abs/2110.15558v1
• [eess.IV]An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging
Shansi Zhang, Edmund Y. Lam
http://arxiv.org/abs/2110.15715v1
• [eess.IV]C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation
Maria Baldeon-Calisto, Susana K. Lai-Yuen
http://arxiv.org/abs/2110.15823v1
• [eess.IV]CVAD: A generic medical anomaly detector based on Cascade VAE
Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
http://arxiv.org/abs/2110.15811v1
• [eess.IV]Unsupervised PET Reconstruction from a Bayesian Perspective
Chenyu Shen, Wenjun Xia, Hongwei Ye, Mingzheng Hou, Hu Chen, Yan Liu, Jiliu Zhou, Yi Zhang
http://arxiv.org/abs/2110.15568v1
• [eess.IV]Whole Brain Segmentation with Full Volume Neural Network
Yeshu Li, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, Eric I-Chao Chang, Yan Xu
http://arxiv.org/abs/2110.15601v1
• [eess.SP]Low-Complexity Geometrical Shaping for 4D Modulation Formats via Amplitude Coding
Bin Chen, Wei Ling, Yunus Can Gültekin, Yi Lei, Chigo Okonkwo, Alex Alvarado
http://arxiv.org/abs/2110.15560v1
• [math.CO]Equiangular lines and regular graphs
Igor Balla
http://arxiv.org/abs/2110.15842v1
• [math.OC]An SDP dual relaxation for the Robust Shortest Path Problem with ellipsoidal uncertainty: Pierra’s decomposition method and a new primal Frank-Wolfe-type heuristics for duality gap evaluation
Chifaa Al Dahik, Zeina Al Masry, Stéphane Chrétien, Jean-Marc Nicod, Landy Rabehasaina
http://arxiv.org/abs/2110.15653v1
• [math.OC]Decentralized Feature-Distributed Optimization for Generalized Linear Models
Brighton Ancelin, Sohail Bahmani, Justin Romberg
http://arxiv.org/abs/2110.15283v1
• [math.OC]Landscape analysis of an improved power method for tensor decomposition
Joe Kileel, Timo Klock, João M. Pereira
http://arxiv.org/abs/2110.15821v1
• [math.PR]A probabilistic view of latent space graphs and phase transitions
Suqi Liu, Miklos Z. Racz
http://arxiv.org/abs/2110.15886v1
• [math.PR]Most probable paths for anisotropic Brownian motions on manifolds
Erlend Grong, Stefan Sommer
http://arxiv.org/abs/2110.15634v1
• [math.SP]Sampling low-spectrum signals on graphs via cluster-concentrated modes: examples
Joseph D. Lakey, Jeffrey A. Hogan
http://arxiv.org/abs/2110.15523v1
• [math.ST]A Hadamard fractioal total variation-Gaussian (HFTG) prior for Bayesian inverse problems
Li-Li Wang, Ming-Hui Ding, Guang-Hui Zheng
http://arxiv.org/abs/2110.15656v1
• [math.ST]Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff
Anna Korba, François Portier
http://arxiv.org/abs/2110.15590v1
• [math.ST]Neyman-Pearson lemma for Bayes factors
Andrew Fowlie
http://arxiv.org/abs/2110.15625v1
• [math.ST]Nonparametric Estimation for I.I.D. Paths of a Martingale Driven Model with Application to Non-Autonomous Fractional SDE
Nicolas Marie
http://arxiv.org/abs/2110.15637v1
• [math.ST]On the Disjoint and Sliding Block Maxima method for piecewise stationary time series
Axel Bücher, Leandra Zanger
http://arxiv.org/abs/2110.15576v1
• [math.ST]Optimal prediction for kernel-based semi-functional linear regression
Keli Guo, Jun Fan, Lixing Zhu
http://arxiv.org/abs/2110.15536v1
• [math.ST]Sliding window strategy for convolutional spike sorting with Lasso : Algorithm, theoretical guarantees and complexity
Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret
http://arxiv.org/abs/2110.15813v1
• [math.ST]Support Recovery with Stochastic Gates: Theory and Application for Linear Models
Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum
http://arxiv.org/abs/2110.15960v1
• [physics.bio-ph]Data-driven Uncertainty Quantification in Computational Human Head Models
Kshitiz Upadhyay, Dimitris G. Giovanis, Ahmed Alshareef, Andrew K. Knutsen, Curtis L. Johnson, Aaron Carass, Philip V. Bayly, Michael D. Shields, K. T. Ramesh
http://arxiv.org/abs/2110.15553v1
• [physics.geo-ph]Reproducing size distributions of swarms of barchan dunes on Mars and Earth using a mean-field model
Dominic T Robson, Alessia Annibale, Andreas CW Baas
http://arxiv.org/abs/2110.15850v1
• [physics.soc-ph]Characterising and modeling the co-evolution of transportation networks and territories
Juste Raimbault
http://arxiv.org/abs/2110.15950v1
• [quant-ph]Improved FRQI on superconducting processors and its restrictions in the NISQ era
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
http://arxiv.org/abs/2110.15672v1
• [quant-ph]QDCNN: Quantum Dilated Convolutional Neural Network
Yixiong Chen
http://arxiv.org/abs/2110.15667v1
• [stat.AP]Assessing present and future risk of water damage using building attributes, meteorology and topography
Claudio Heinrich-Mertsching, Jens Christian Wahl, Alba Ordo~ nez, Marita Stien, John Elvsborg, Ola Haug, Thordis L. Thorarinsdottir
http://arxiv.org/abs/2110.15862v1
• [stat.AP]Sequential Detection of a Temporary Change in Multivariate Time Series
V. Watson, F. Septier, P. Armand, C. Duchenne
http://arxiv.org/abs/2110.15935v1
• [stat.AP]Statistical Review of Animal trials — A Guideline
Sophie K. Piper, Dario Zocholl, Ulf Toelch, Robert Roehle, Andrea Stroux, Johanna Hößler, Anne Kujawa, Frank Konietschke
http://arxiv.org/abs/2110.15795v1
• [stat.ME]CP Factor Model for Dynamic Tensors
Yuefeng Han, Cun-Hui Zhang, Rong Chen
http://arxiv.org/abs/2110.15517v1
• [stat.ME]Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations
Michel Besserve, Naji Shajarisales, Dominik Janzing, Bernhard Schölkopf
http://arxiv.org/abs/2110.15595v1
• [stat.ME]Estimating the Distribution of Ratio of Paired Event Times in Phase II Oncology Trials
Li Chen, Mark Burkard, Jianrong Wu, Jill M. Kolesar, Chi Wang
http://arxiv.org/abs/2110.15846v1
• [stat.ME]Interval Estimation of Relative Risks for Combined Unilateral and Bilateral Correlated Data
Kejia Wang, Chang-Xing Ma
http://arxiv.org/abs/2110.15468v1
• [stat.ME]Kernel-based Partial Permutation Test for Detecting Heterogeneous Functional Relationship
Xinran Li, Bo Jiang, Jun S. Liu
http://arxiv.org/abs/2110.15406v1
• [stat.ME]Multiple-Splitting Projection Test for High-Dimensional Mean Vectors
Wanjun Liu, Xiufan Yu, Runze Li
http://arxiv.org/abs/2110.15480v1
• [stat.ME]Privacy Preserving Inference on the Ratio of Two Gaussians Using (Weighted) Sums
Jingang Miao, Yiming Paul Li
http://arxiv.org/abs/2110.15449v1
• [stat.ME]Quality control, data cleaning, imputation
Dawei Liu, Hanne I. Oberman, Johanna Muñoz, Jeroen Hoogland, Thomas P. A. Debray
http://arxiv.org/abs/2110.15877v1
• [stat.ME]The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems
Juan Kuntz, Francesca R. Crucinio, Adam M. Johansen
http://arxiv.org/abs/2110.15782v1
• [stat.ML]A/B/n Testing with Control in the Presence of Subpopulations
Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter Koolen
http://arxiv.org/abs/2110.15573v1
• [stat.ML]Adaptive Discretization in Online Reinforcement Learning
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
http://arxiv.org/abs/2110.15843v1
• [stat.ML]Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
http://arxiv.org/abs/2110.15767v1
• [stat.ML]Aligned Multi-Task Gaussian Process
Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell
http://arxiv.org/abs/2110.15761v1
• [stat.ML]DOCKSTRING: easy molecular docking yields better benchmarks for ligand design
Miguel García-Ortegón, Gregor N. C. Simm, Austin J. Tripp, José Miguel Hernández-Lobato, Andreas Bender, Sergio Bacallado
http://arxiv.org/abs/2110.15486v1
• [stat.ML]Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
Hengrui Cai, Ye Shen, Rui Song
http://arxiv.org/abs/2110.15501v1
• [stat.ML]Open Problem: Tight Online Confidence Intervals for RKHS Elements
Sattar Vakili, Jonathan Scarlett, Tara Javidi
http://arxiv.org/abs/2110.15458v1
• [stat.ML]Resampling Base Distributions of Normalizing Flows
Vincent Stimper, Bernhard Schölkopf, José Miguel Hernández-Lobato
http://arxiv.org/abs/2110.15828v1
• [stat.ML]Variational Bayesian Optimistic Sampling
Brendan O’Donoghue, Tor Lattimore
http://arxiv.org/abs/2110.15688v1
若有收获，就点个赞吧
0 人点赞
