cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    cs.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    q-bio.QM - 定量方法
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Analyzing Semantics of Aggregate Answer Set Programming Using Approximation Fixpoint Theory
    • [cs.AI]Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems
    • [cs.AI]Using Small MUSes to Explain How to Solve Pen and Paper Puzzles
    • [cs.CL]A Survey on sentiment analysis in Persian: A Comprehensive System Perspective Covering Challenges and Advances in Resources, and Methods
    • [cs.CL]An Adversarial Transfer Network for Knowledge Representation Learning
    • [cs.CL]BERT Meets Relational DB: Contextual Representations of Relational Databases
    • [cs.CL]Cross-lingual hate speech detection based on multilingual domain-specific word embeddings
    • [cs.CL]Event-driven timeseries analysis and the comparison of public reactions on COVID-19
    • [cs.CL]Explanation-Based Human Debugging of NLP Models: A Survey
    • [cs.CL]GTN-ED: Event Detection Using Graph Transformer Networks
    • [cs.CL]Hierarchical Modeling for Out-of-Scope Domain and Intent Classification
    • [cs.CL]Mitigating Political Bias in Language Models Through Reinforced Calibration
    • [cs.CL]Scaling End-to-End Models for Large-Scale Multilingual ASR
    • [cs.CL]Summarization, Simplification, and Generation: The Case of Patents
    • [cs.CL]The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
    • [cs.CL]Word-Level Alignment of Paper Documents with their Electronic Full-Text Counterparts
    • [cs.CR]Improved Matrix Gaussian Mechanism for Differential Privacy
    • [cs.CR]Memory-Efficient Deep Learning Inference in Trusted Execution Environments
    • [cs.CR]Stealthy Backdoors as Compression Artifacts
    • [cs.CV]A Good Image Generator Is What You Need for High-Resolution Video Synthesis
    • [cs.CV]Action in Mind: A Neural Network Approach to Action Recognition and Segmentation
    • [cs.CV]Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings
    • [cs.CV]BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
    • [cs.CV]Black-box adversarial attacks using Evolution Strategies
    • [cs.CV]CAT: Cross-Attention Transformer for One-Shot Object Detection
    • [cs.CV]Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection
    • [cs.CV]CoCon: Cooperative-Contrastive Learning
    • [cs.CV]Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks
    • [cs.CV]Deep Learning Based Steel Pipe Weld Defect Detection
    • [cs.CV]Deep Multi-View Stereo gone wild
    • [cs.CV]Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
    • [cs.CV]Determining Chess Game State From an Image
    • [cs.CV]Differentiable Event Stream Simulator for Non-Rigid 3D Tracking
    • [cs.CV]DriveGAN: Towards a Controllable High-Quality Neural Simulation
    • [cs.CV]EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
    • [cs.CV]Editable Free-viewpoint Video Using a Layered Neural Representation
    • [cs.CV]End-to-End Attention-based Image Captioning
    • [cs.CV]Evaluating Contrastive Models for Instance-based Image Retrieval
    • [cs.CV]Few-Shot Video Object Detection
    • [cs.CV]GM-MLIC: Graph Matching based Multi-Label Image Classification
    • [cs.CV]GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
    • [cs.CV]Interpretable Semantic Photo Geolocalization
    • [cs.CV]Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
    • [cs.CV]Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning
    • [cs.CV]NTIRE 2021 Challenge on Image Deblurring
    • [cs.CV]NTIRE 2021 Challenge on Video Super-Resolution
    • [cs.CV]PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
    • [cs.CV]Post-training deep neural network pruning via layer-wise calibration
    • [cs.CV]RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection
    • [cs.CV]Reproducibility of “FDA: Fourier Domain Adaptation forSemantic Segmentation
    • [cs.CV]RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream
    • [cs.CV]SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
    • [cs.CV]SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
    • [cs.CV]Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation
    • [cs.CV]Studying the Consistency and Composability of Lottery Ticket Pruning Masks
    • [cs.CV]StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
    • [cs.CV]TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for Accurate GAN Evaluation
    • [cs.CV]Unsupervised data augmentation for object detection
    • [cs.CV]Updatable Siamese Tracker with Two-stage One-shot Learning
    • [cs.CV]Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition
    • [cs.CV]Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras
    • [cs.CY]Impacts of shared autonomous vehicles: Tradeoff between parking demand reduction and congestion increase
    • [cs.CY]Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy
    • [cs.CY]Methodological Foundation of a Numerical Taxonomy of Urban Form
    • [cs.DB]Efficient SPARQL Autocompletion via SPARQL
    • [cs.DC]Achieving Causality with Physical Clocks
    • [cs.DC]Dandelion: multiplexing Byzantine agreements to unlock blockchain performance
    • [cs.DC]Memory-Optimality for Non-Blocking Containers
    • [cs.DC]Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks
    • [cs.DL]Number and quality of diagrams in scholarly publications is associated with number of citations
    • [cs.GT]Human strategic decision making in parametrized games
    • [cs.HC]Revisiting Citizen Science Through the Lens of Hybrid Intelligence
    • [cs.HC]Scholarly AI system diagrams as an access point to mental models
    • [cs.HC]Structuralist analysis for neural network system diagrams
    • [cs.IR]GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval
    • [cs.IR]Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
    • [cs.IT]A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection
    • [cs.IT]Massive-MIMO Iterative Channel Estimation and Decoding (MICED) in the Uplink
    • [cs.IT]One more proof of the first linear programming bound for binary codes and two conjectures
    • [cs.IT]RSSI-Based Location Classification Using a Particle Filter to Fuse Sensor Estimates
    • [cs.IT]RSSI-Based Machine Learning with Pre- and Post-Processing for Cell-Localization in IWSNs
    • [cs.IT]Team MMSE Precoding with Applications to Cell-free Massive MIMO
    • [cs.IT]User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions
    • [cs.LG]A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)
    • [cs.LG]Active WeaSuL: Improving Weak Supervision with Active Learning
    • [cs.LG]Analytical bounds on the local Lipschitz constants of ReLU networks
    • [cs.LG]Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
    • [cs.LG]DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities
    • [cs.LG]Degenerate Gaussian factors for probabilistic inference
    • [cs.LG]Discrete-Time Mean Field Control with Environment States
    • [cs.LG]Divide-and-conquer based Large-Scale Spectral Clustering
    • [cs.LG]Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
    • [cs.LG]Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending
    • [cs.LG]Faster Meta Update Strategy for Noise-Robust Deep Learning
    • [cs.LG]Federated Learning with Fair Averaging
    • [cs.LG]Flattening Multiparameter Hierarchical Clustering Functors
    • [cs.LG]Forming Ensembles at Runtime: A Machine Learning Approach
    • [cs.LG]Latent Factor Decomposition Model: Applications for Questionnaire Data
    • [cs.LG]Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach
    • [cs.LG]Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
    • [cs.LG]PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback
    • [cs.LG]Predicting Intraoperative Hypoxemia with Joint Sequence Autoencoder Networks
    • [cs.LG]Search Algorithms for Automated Hyper-Parameter Tuning
    • [cs.MA]Participatory Budgeting with Donations and Diversity Constraints
    • [cs.NE]A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture
    • [cs.NE]Graph-Aware Evolutionary Algorithms for Influence Maximization
    • [cs.NE]Tightening the Biological Constraints on Gradient-Based Predictive Coding
    • [cs.NI]A Path to Smart Radio Environments: An Industrial Viewpoint on Reconfigurable Intelligent Surfaces
    • [cs.RO]A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions
    • [cs.RO]Certifying Emergency Landing for Safe Urban UAV
    • [cs.RO]Creative Action at a Distance: A Conceptual Framework for Embodied Performance With Robotic Actors
    • [cs.RO]Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning
    • [cs.RO]ICOS: Efficient and Highly Robust Point Cloud Registration with Correspondences
    • [cs.RO]Invariant Extended Kalman Filtering Using Two Position Receivers for Extended Pose Estimation
    • [cs.RO]Physically Feasible Vehicle Trajectory Prediction
    • [cs.RO]Safety-Control of Mobile Robots Under Time-Delay Using Barrier Certificates and a Two-Layer Predictor
    • [cs.RO]Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments
    • [cs.RO]Technology Report : Robotic Localization and Navigation System for Visible Light Positioning and SLAM
    • [cs.SE]Technical Reports Compilation: Detecting the Fire Drill anti-pattern using Source Code
    • [cs.SI]Learning for Detecting Norm Violation in Online Communities
    • [eess.AS]Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks
    • [eess.AS]Deformable TDNN with adaptive receptive fields for speech recognition
    • [eess.IV]Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas
    • [eess.SP]Cramér-Rao Bounds for Near-Field Localization
    • [eess.SY]ModelGuard: Runtime Validation of Lipschitz-continuous Models
    • [math.OC]A Refined Inertial DCA for DC Programming
    • [math.OC]On Stochastic Moving-Average Estimators for Non-Convex Optimization
    • [math.PR]Maximum likelihood estimation for stochastic differential equations driven by a mixed fractional Brownian motion with random effects
    • [math.ST]Automatic Debiased Machine Learning via Neural Nets for Generalized Linear Regression
    • [math.ST]Epistemic confidence, the Dutch Book and relevant subsets
    • [math.ST]Exact Detection Thresholds for Chatterjee’s Correlation
    • [math.ST]Spiked Singular Values and Vectors under Extreme Aspect Ratios
    • [physics.soc-ph]Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks
    • [q-bio.NC]Analysis of Molecular Communications on the Growth Structure of Glioblastoma Multiforme
    • [q-bio.QM]Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
    • [quant-ph]Automatically Differentiable Quantum Circuit for Many-qubit State Preparation
    • [quant-ph]Continuous black-box optimization with quantum annealing and random subspace coding
    • [quant-ph]Optimal Adaptive Strategies for Sequential Quantum Hypothesis Testing
    • [stat.AP]Bayesian Information Criterion for Linear Mixed-effects Models
    • [stat.AP]Calibration of wind speed ensemble forecasts for power generation
    • [stat.AP]Does Covid-19 Mass Testing Work? The Importance of Accounting for the Epidemic Dynamics
    • [stat.AP]Dose Finding Studies for Therapies with Late-Onset Toxicities: A Comparison Study of Designs
    • [stat.AP]Inference and model determination for Temperature-Driven non-linear Ecological Models
    • [stat.AP]Models Based on Exponential Interarrival Times for Single-Unusual-Event Count Data
    • [stat.AP]The potential stickiness of pandemic-induced behavior changes in the United States
    • [stat.CO]MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation
    • [stat.ME]A Comparison of Model-Free Phase I Dose Escalation Designs for Dual-Agent Combination Therapies
    • [stat.ME]A Randomized Missing Data Approach to Robust Filtering and Forecasting
    • [stat.ME]Adaptive Realized Hyperbolic GARCH Process: Stability and Estimation
    • [stat.ME]Dynamic Gene Coexpression Analysis with Correlation Modeling
    • [stat.ME]Efficient Multiple Testing Adjustment for Hierarchical Inference
    • [stat.ME]Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External Data
    • [stat.ME]Gaussian Universal Likelihood Ratio Testing
    • [stat.ME]Interpretability of Epidemiological Models : The Curse of Non-Identifiability
    • [stat.ME]Joint Linear Trend Recovery Using L1 Regularization
    • [stat.ME]Network Recovery from Unlabeled Noisy Samples
    • [stat.ME]Nonparametric tests of independence for circular data based on trigonometric moments
    • [stat.ME]Querying multiple sets of 今日学术视野(2021.5.4) - 图1-values through composed hypothesis testing
    • [stat.ML]A Riemannian Newton Trust-Region Method for Fitting Gaussian Mixture Models
    • [stat.ML]Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
    • [stat.ML]Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data
    • [stat.ML]On In-network learning. A Comparative Study with Federated and Split Learning
    • [stat.ML]Ranking the information content of distance measures

    ·····································

    • [cs.AI]Analyzing Semantics of Aggregate Answer Set Programming Using Approximation Fixpoint Theory
    Linde Vanbesien, Maurice Bruynooghe, Marc Denecker
    http://arxiv.org/abs/2104.14789v1

    • [cs.AI]Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems
    Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh
    http://arxiv.org/abs/2104.15034v1

    • [cs.AI]Using Small MUSes to Explain How to Solve Pen and Paper Puzzles
    Joan Espasa, Ian P. Gent, Ruth Hoffmann, Christopher Jefferson, Alice M. Lynch
    http://arxiv.org/abs/2104.15040v1

    • [cs.CL]A Survey on sentiment analysis in Persian: A Comprehensive System Perspective Covering Challenges and Advances in Resources, and Methods
    Zeinab Rajabi, MohammadReza Valavi
    http://arxiv.org/abs/2104.14751v1

    • [cs.CL]An Adversarial Transfer Network for Knowledge Representation Learning
    Huijuan Wang, Shuangyin Li, Rong Pan
    http://arxiv.org/abs/2104.14757v1

    • [cs.CL]BERT Meets Relational DB: Contextual Representations of Relational Databases
    Siddhant Arora, Vinayak Gupta, Garima Gaur, Srikanta Bedathur
    http://arxiv.org/abs/2104.14914v1

    • [cs.CL]Cross-lingual hate speech detection based on multilingual domain-specific word embeddings
    Aymé Arango, Jorge Pérez, Barbara Poblete
    http://arxiv.org/abs/2104.14728v1

    • [cs.CL]Event-driven timeseries analysis and the comparison of public reactions on COVID-19
    Md. Khayrul Bashar
    http://arxiv.org/abs/2104.14777v1

    • [cs.CL]Explanation-Based Human Debugging of NLP Models: A Survey
    Piyawat Lertvittayakumjorn, Francesca Toni
    http://arxiv.org/abs/2104.15135v1

    • [cs.CL]GTN-ED: Event Detection Using Graph Transformer Networks
    Sanghamitra Dutta, Liang Ma, Tanay Kumar Saha, Di Lu, Joel Joel Tetreault, Alex Jaimes
    http://arxiv.org/abs/2104.15104v1

    • [cs.CL]Hierarchical Modeling for Out-of-Scope Domain and Intent Classification
    Pengfei Liu, Kun Li, Helen Meng
    http://arxiv.org/abs/2104.14781v1

    • [cs.CL]Mitigating Political Bias in Language Models Through Reinforced Calibration
    Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi
    http://arxiv.org/abs/2104.14795v1

    • [cs.CL]Scaling End-to-End Models for Large-Scale Multilingual ASR
    Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma
    http://arxiv.org/abs/2104.14830v1

    • [cs.CL]Summarization, Simplification, and Generation: The Case of Patents
    Silvia Casola, Alberto Lavelli
    http://arxiv.org/abs/2104.14860v1

    • [cs.CL]The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
    Yi-Chong Huang, Xia-Chong Feng, Xiao-Cheng Feng, Bing Qin
    http://arxiv.org/abs/2104.14839v1

    • [cs.CL]Word-Level Alignment of Paper Documents with their Electronic Full-Text Counterparts
    Mark-Christoph Müller, Sucheta Ghosh, Ulrike Wittig, Maja Rey
    http://arxiv.org/abs/2104.14925v1

    • [cs.CR]Improved Matrix Gaussian Mechanism for Differential Privacy
    Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang
    http://arxiv.org/abs/2104.14808v1

    • [cs.CR]Memory-Efficient Deep Learning Inference in Trusted Execution Environments
    Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls
    http://arxiv.org/abs/2104.15109v1

    • [cs.CR]Stealthy Backdoors as Compression Artifacts
    Yulong Tian, Fnu Suya, Feng
    7000
    yuan Xu, David Evans
    http://arxiv.org/abs/2104.15129v1

    • [cs.CV]A Good Image Generator Is What You Need for High-Resolution Video Synthesis
    Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, Sergey Tulyakov
    http://arxiv.org/abs/2104.15069v1

    • [cs.CV]Action in Mind: A Neural Network Approach to Action Recognition and Segmentation
    Zahra Gharaee
    http://arxiv.org/abs/2104.14870v1

    • [cs.CV]Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings
    Yuandu Lai, Yahong Han
    http://arxiv.org/abs/2104.14945v1

    • [cs.CV]BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
    Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang, Shiguang Shan
    http://arxiv.org/abs/2104.14783v1

    • [cs.CV]Black-box adversarial attacks using Evolution Strategies
    Hao Qiu, Leonardo Lucio Custode, Giovanni Iacca
    http://arxiv.org/abs/2104.15064v1

    • [cs.CV]CAT: Cross-Attention Transformer for One-Shot Object Detection
    Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang
    http://arxiv.org/abs/2104.14984v1

    • [cs.CV]Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection
    Muhammad Zaigham Zaheer, Jin-ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee
    http://arxiv.org/abs/2104.14770v1

    • [cs.CV]CoCon: Cooperative-Contrastive Learning
    Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
    http://arxiv.org/abs/2104.14764v1

    • [cs.CV]Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks
    Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
    http://arxiv.org/abs/2104.15022v1

    • [cs.CV]Deep Learning Based Steel Pipe Weld Defect Detection
    Dingming Yang, Yanrong Cui, Zeyu Yu, Hongqiang Yuan
    http://arxiv.org/abs/2104.14907v1

    • [cs.CV]Deep Multi-View Stereo gone wild
    François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry
    http://arxiv.org/abs/2104.15119v1

    • [cs.CV]Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
    Penny Tarling, Mauricio Cantor, Albert Clapés, Sergio Escalera
    http://arxiv.org/abs/2104.14964v1

    • [cs.CV]Determining Chess Game State From an Image
    Georg Wölflein, Ognjen Arandjelović
    http://arxiv.org/abs/2104.14963v1

    • [cs.CV]Differentiable Event Stream Simulator for Non-Rigid 3D Tracking
    Jalees Nehvi, Vladislav Golyanik, Franziska Mueller, Hans-Peter Seidel, Mohamed Elgharib, Christian Theobalt
    http://arxiv.org/abs/2104.15139v1

    • [cs.CV]DriveGAN: Towards a Controllable High-Quality Neural Simulation
    Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler
    http://arxiv.org/abs/2104.15060v1

    • [cs.CV]EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
    Aleksandr Kim, Aljoša Ošep, Laura Leal-Taixé
    http://arxiv.org/abs/2104.14682v1

    • [cs.CV]Editable Free-viewpoint Video Using a Layered Neural Representation
    Jiakai Zhang, Xinhang Liu, Xinyi Ye, Fuqiang Zhao, Yanshun Zhang, Minye Wu, Yingliang Zhang, Lan Xu, Jingyi Yu
    http://arxiv.org/abs/2104.14786v1

    • [cs.CV]End-to-End Attention-based Image Captioning
    Carola Sundaramoorthy, Lin Ziwen Kelvin, Mahak Sarin, Shubham Gupta
    http://arxiv.org/abs/2104.14721v1

    • [cs.CV]Evaluating Contrastive Models for Instance-based Image Retrieval
    Tarun Krishna, Kevin McGuinness, Noel O’Connor
    http://arxiv.org/abs/2104.14939v1

    • [cs.CV]Few-Shot Video Object Detection
    Qi Fan, Chi-Keung Tang, Yu-Wing Tai
    http://arxiv.org/abs/2104.14805v1

    • [cs.CV]GM-MLIC: Graph Matching based Multi-Label Image Classification
    Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
    http://arxiv.org/abs/2104.14762v1

    • [cs.CV]GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
    Chenfei Wu, Lun Huang, Qianxi Zhang, Binyang Li, Lei Ji, Fan Yang, Guillermo Sapiro, Nan Duan
    http://arxiv.org/abs/2104.14806v1

    • [cs.CV]Interpretable Semantic Photo Geolocalization
    Jonas Theiner, Eric Müller-Budack, Ralph Ewerth
    http://arxiv.org/abs/2104.14995v1

    • [cs.CV]Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
    Yichao Yan, Jie Qin1, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao
    http://arxiv.org/abs/2104.14913v1

    • [cs.CV]Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning
    Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He
    http://arxiv.org/abs/2104.14834v1

    • [cs.CV]NTIRE 2021 Challenge on Image Deblurring
    Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, Kyoung Mu Lee
    http://arxiv.org/abs/2104.14854v1

    • [cs.CV]NTIRE 2021 Challenge on Video Super-Resolution
    Sanghyun Son, Suyoung Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee
    http://arxiv.org/abs/2104.14852v1

    • [cs.CV]PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
    Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui
    http://arxiv.org/abs/2104.14769v1

    • [cs.CV]Post-training deep neural network pruning via layer-wise calibration
    Ivan Lazarevich, Alexander Kozlov, Nikita Malinin
    http://arxiv.org/abs/2104.15023v1

    • [cs.CV]RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection
    Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen
    http://arxiv.org/abs/2104.15015v1

    • [cs.CV]Reproducibility of “FDA: Fourier Domain Adaptation forSemantic Segmentation
    Arnesh Kumar Issar, Kirtan Mali, Aryan Mehta, Karan Uppal, Saurabh Mishra, Debashish Chakravarty
    http://arxiv.org/abs/2104.14749v1

    • [cs.CV]RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream
    Zhuo Su, Lan Xu, Dawei Zhong, Zhong Li, Fan Deng, Shuxue Quan, Lu Fang
    http://arxiv.org/abs/2104.14837v1

    • [cs.CV]SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
    Haoying Li, Yifan Yang, Meng Chang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen
    http://arxiv.org/abs/2104.14951v1

    • [cs.CV]SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
    Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann
    http://arxiv.org/abs/2104.14812v1

    • [cs.CV]Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation
    Zeqi Li, Ruowei Jiang, Parham Aarabi
    http://arxiv.org/abs/2104.15082v1

    • [cs.CV]Studying the Consistency and Composability of Lottery Ticket Pruning Masks
    Rajiv Movva, Jonathan Frankle, Michael Carbin
    http://arxiv.org/abs/2104.14753v1

    • [cs.CV]StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
    Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh
    http://arxiv.org/abs/2104.14754v1

    • [cs.CV]TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for Accurate GAN Evaluation
    Junghyuk Lee, Jong-Seok Lee
    http://arxiv.org/abs/2104.14767v1

    • [cs.CV]Unsupervised data augmentation for object detection
    Yichen Zhang, Zeyang Song, Wenbo Li
    http://arxiv.org/abs/2104.14965v1

    • [cs.CV]Updatable Siamese Tracker with Two-stage One-shot Learning
    Xinglong Sun, Guangliang Han, Lihong Guo, Tingfa Xu, Jianan Li, Peixun Liu
    http://arxiv.org/abs/2104.15049v1

    • [cs.CV]Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition
    Luis Sa-Couto, Andreas Wichert
    http://arxiv.org/abs/2104.14970v1

    • [cs.CV]Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras
    Junru Chen, Shiqing Geng, Yongluan Yan, Danyang Huang, Hao Liu, Yadong Li
    http://arxiv.org/abs/2104.14882v1

    • [cs.CY]Impacts of shared autonomous vehicles: Tradeoff between parking demand reduction and congestion increase
    Yusuke Kumakoshi, Hisatomo Hanabusa, Takashi Oguchi
    http://arxiv.org/abs/2104.15019v1

    • [cs.CY]Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy
    Yongzhen Wang, Xiaozhong Liu, Katy Börner, Jun Lin, Yingnan Ju, Changlong Sun, Luo Si
    http://arxiv.org/abs/2104.14281v2

    • [cs.CY]Methodological Foundation of a Numerical Taxonomy of Urban Form
    Martin Fleischmann, Alessandra Feliciotti, Ombretta Romice, Sergio Porta
    http://arxiv.org/abs/2104.14956v1

    • [cs.DB]Efficient SPARQL Autocompletion via SPARQL
    Hannah Bast, Johannes Kalmbach, Theresa Klumpp, Florian Kramer, Niklas Schnelle
    http://arxiv.org/abs/2104.14595v1

    • [cs.DC]Achieving Causality with Physical Clocks
    Sandeep S Kulkarni, Gabe Appleton, Duong Nguyen
    http://arxiv.org/abs/2104.15099v1

    • [cs.DC]Dandelion: multiplexing Byzantine agreements to unlock blockchain performance
    Kadir Korkmaz, Joachim Bruneau-Queyreix, Sonia Ben Mokthar, Laurent Réveillère
    http://arxiv.org/abs/2104.15063v1

    • [cs.DC]Memory-Optimality for Non-Blocking Containers
    Vitaly Aksenov, Nikita Koval, Petr Kuznetsov
    http://arxiv.org/abs/2104.15003v1

    • [cs.DC]Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks
    Yao Wang, Xingyu Zhou, Yanming Wang, Rui Li, Yong Wu, Vin Sharma
    http://arxiv.org/abs/2104.14641v1

    • [cs.DL]Number and quality of diagrams in scholarly publications is associated with number of citations
    Guy Clarke Marshall, Caroline Jay, Andre Freitas
    http://arxiv.org/abs/2104.14815v1

    • [cs.GT]Human strategic decision making in parametrized games
    Sam Ganzfried
    http://arxiv.org/abs/2104.14744v1

    • [cs.HC]Revisiting Citizen Science Through the Lens of Hybrid Intelligence
    Janet Rafner, Miroslav Gajdacz, Gitte Kragh, Arthur Hjorth, Anna Gander, Blanka Palfi, Aleks Berditchevskaia, François Grey, Kobi Gal, Avi Segal, Mike Walmsley, Josh Aaron Miller, Dominik Dellerman, Muki Haklay, Pietro Michelucci, Jacob Sherson
    http://arxiv.org/abs/2104.14961v1

    • [cs.HC]Scholarly AI system diagrams as an access point to mental models
    Guy Clarke Marshall, Caroline Jay, Andre Freitas
    http://arxiv.org/abs/2104.14811v1

    • [cs.HC]Structuralist analysis for neural network system diagrams
    Guy Clarke Marshall, Caroline Jay, Andre Freitas
    http://arxiv.org/abs/2104.14810v1

    • [cs.IR]GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval
    Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack, Sherzod Hakimov, Jens Lehmann, Ralph Ewerth
    http://arxiv.org/abs/2104.14994v1

    • [cs.IR]Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
    Chi-Man Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen
    http://arxiv.org/abs/2104.14899v1

    • [cs.IT]A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection
    Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gunduz, Marios Kountouris, David Gesbert
    http://arxiv.org/abs/2104.14579v1

    • [cs.IT]Massive-MIMO Iterative Channel Estimation and Decoding (MICED) in the Uplink
    Daniel Verenzuela, Emil Björnson, Xiaojie Wang, Maximilian Arnold, Stephan ten Brink
    http://arxiv.org/abs/2104.14797v1

    • [cs.IT]One more proof of the first linear programming bound for binary codes and two conjectures
    Alex Samorodnitsky
    http://arxiv.org/abs/2104.14587v1

    • [cs.IT]RSSI-Based Location Classification Using a Particle Filter to Fuse Sensor Estimates
    Thomas Blazek, Julian Karoliny, Fjolla Ademaj, Hans-Peter Bernhard
    http://arxiv.org/abs/2104.14874v1

    • [cs.IT]RSSI-Based Machine Learning with Pre- and Post-Processing for Cell-Localization in IWSNs
    Julian Karoliny, Thomas Blazek, Fjolla Ademaj, Hans-Peter Bernhard, Andreas Springer
    http://arxiv.org/abs/2104.14865v1

    • [cs.IT]Team MMSE Precoding with Applications to Cell-free Massive MIMO
    Lorenzo Miretti, Emil Björnson, David Gesbert
    http://arxiv.org/abs/2104.15027v1

    • [cs.IT]User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions
    Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas
    http://arxiv.org/abs/2104.14589v1

    • [cs.LG]A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)
    Anna Jenul, Stefan Schrunner, Jürgen Pilz, Oliver Tomic
    http://arxiv.org/abs/2104.14787v1

    • [cs.LG]Active WeaSuL: Improving Weak Supervision with Active Learning
    Samantha Biegel, Rafah El-Khatib, Luiz Otavio Vilas Boas Oliveira, Max Baak, Nanne Aben
    http://arxiv.org/abs/2104.14847v1

    • [cs.LG]Analytical bounds on the local Lipschitz constants of ReLU networks
    Trevor Avant, Kristi A. Morgansen
    http://arxiv.org/abs/2104.14672v1

    • [cs.LG]Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
    Haoxi Zhan, Xiaobing Pei
    http://arxiv.org/abs/2104.15061v1

    • [cs.LG]DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities
    Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang
    http://arxiv.org/abs/2104.15052v1

    • [cs.LG]Degenerate Gaussian factors for probabilistic inference
    J. C. Schoeman, C. E. van Daalen, J. A. du Preez
    http://arxiv.org/abs/2104.15010v1

    • [cs.LG]Discrete-Time Mean Field Control with Environment States
    Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl
    http://arxiv.org/abs/2104.14900v1

    • [cs.LG]Divide-and-conquer based Large-Scale Spectral Clustering
    Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
    http://arxiv.org/abs/2104.15042v1

    • [cs.LG]Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
    Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li
    http://arxiv.org/abs/2104.14917v1

    • [cs.LG]Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending
    Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris
    http://arxiv.org/abs/2104.14715v1

    • [cs.LG]Faster Meta Update Strategy for Noise-Robust Deep Learning
    Youjiang Xu, Linchao Zhu, Lu Jiang, Yi Yang
    http://arxiv.org/abs/2104.15092v1

    • [cs.LG]Federated Learning with Fair Averaging
    Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, Rongshan Yu
    http://arxiv.org/abs/2104.14937v1

    • [cs.LG]Flattening Multiparameter Hierarchical Clustering Functors
    Dan Shiebler
    http://arxiv.org/abs/2104.14734v1

    • [cs.LG]Forming Ensembles at Runtime: A Machine Learning Approach
    Tomáš Bureš, Ilias Gerostathopoulos, Petr Hnětynka, Jan Pacovský
    http://arxiv.org/abs/2104.14848v1

    • [cs.LG]Latent Factor Decomposition Model: Applications for Questionnaire Data
    Connor J. McLaughlin, Efi G. Kokkotou, Jean A. King, Lisa A. Conboy, Ali Yousefi
    http://arxiv.org/abs/2104.15106v1

    • [cs.LG]Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach
    Jean-Raphaël Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu
    http://arxiv.org/abs/2104.15083v1

    • [cs.LG]Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
    Xinyu Chen, Mengying Lei, Nicolas Saunier, Lijun Sun
    http://arxiv.org/abs/2104.14936v1

    • [cs.LG]PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback
    Yuncong Yu, Dylan Kruyff, Tim Becker, Michael Behrisch
    http://arxiv.org/abs/2104.14962v1

    • [cs.LG]Predicting Intraoperative Hypoxemia with Joint Sequence Autoencoder Networks
    Hanyang Liu, Michael Montana, Dingwen Li, Thomas Kannampallil, Chenyang Lu
    http://arxiv.org/abs/2104.14756v1

    • [cs.LG]Search Algorithms for Automated Hyper-Parameter Tuning
    Leila Zahedi, Farid Ghareh Mohammadi, Shabnam Rezapour, Matthew W. Ohland, M. Hadi Amini
    http://arxiv.org/abs/2104.14677v1

    • [cs.MA]Participatory Budgeting with Donations and Diversity Constraints
    Jiehua Chen, Martin Lackner, Jan Maly
    http://arxiv.org/abs/2104.15075v1

    • [cs.NE]A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture
    Kaveh Akbarzadeh-Sherbaf, Mikaeel Bahmani, Danial Ghiaseddin, Saeed Safari, Abdol-Hossein Vahabie
    http://arxiv.org/abs/2104.14594v1

    • [cs.NE]Graph-Aware Evolutionary Algorithms for Influence Maximization
    Kateryna Konotopska, Giovanni Iacca
    http://arxiv.org/abs/2104.14909v1

    • [cs.NE]Tightening the Biological Constraints on Gradient-Based Predictive Coding
    Nick Alonso, Emre Neftci
    http://arxiv.org/abs/2104.15137v1

    • [cs.NI]A Path to Smart Radio Environments: An Industrial Viewpoint on Reconfigurable Intelligent Surfaces
    Ruiqi Liu, Qingqing Wu, Marco Di Renzo, Yifei Yuan
    http://arxiv.org/abs/2104.14985v1

    • [cs.RO]A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions
    Esen Yel, Nicola Bezzo
    http://arxiv.org/abs/2104.15081v1

    • [cs.RO]Certifying Emergency Landing for Safe Urban UAV
    Joris Guerin, Kevin Delmas, Jérémie Guiochet
    http://arxiv.org/abs/2104.14928v1

    • [cs.RO]Creative Action at a Distance: A Conceptual Framework for Embodied Performance With Robotic Actors
    Philipp Wicke, Tony Veale
    http://arxiv.org/abs/2104.14801v1

    • [cs.RO]Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning
    Ramzi Ourari, Kai Cui, Heinz Koeppl
    http://arxiv.org/abs/2104.14912v1

    • [cs.RO]ICOS: Efficient and Highly Robust Point Cloud Registration with Correspondences
    Lei Sun
    http://arxiv.org/abs/2104.14763v1

    • [cs.RO]Invariant Extended Kalman Filtering Using Two Position Receivers for Extended Pose Estimation
    Natalia Pavlasek, Alex Walsh, James Richard Forbes
    http://arxiv.org/abs/2104.14711v1

    • [cs.RO]Physically Feasible Vehicle Trajectory Prediction
    Harshayu Girase, Jerrick Hoang, Sai Yalamanchi, Micol Marchetti-Bowick
    http://arxiv.org/abs/2104.14679v1

    • [cs.RO]Safety-Control of Mobile Robots Under Time-Delay Using Barrier Certificates and a Two-Layer Predictor
    Azad Ghaffari, Manavendra Desai
    http://arxiv.org/abs/2104.15047v1

    • [cs.RO]Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments
    Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian Scherer
    http://arxiv.org/abs/2104.14938v1

    • [cs.RO]Technology Report : Robotic Localization and Navigation System for Visible Light Positioning and SLAM
    Weipeng Guan, Babar Hussain, Patrick Yue
    http://arxiv.org/abs/2104.14755v1

    • [cs.SE]Technical Reports Compilation: Detecting the Fire Drill anti-pattern using Source Code
    Sebastian Hönel
    http://arxiv.org/abs/2104.15090v1

    • [cs.SI]Learning for Detecting Norm Violation in Online Communities
    Thiago Freitas dos Santos, Nardine Osman, Marco Schorlemmer
    http://arxiv.org/abs/2104.14911v1

    • [eess.AS]Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks
    Truc Nguyen, Franz Pernkopf
    http://arxiv.org/abs/2104.14921v1

    • [eess.AS]Deformable TDNN with adaptive receptive fields for speech recognition
    Keyu An, Yi Zhang, Zhijian Ou
    http://arxiv.org/abs/2104.14791v1

    • [eess.IV]Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas
    Adrià Casamitjanaa, Marco Lorenzi, Sebastiano Ferraris, Loc Peter, Marc Modat, Allison Stevens, Bruce Fischld, Tom Vercauterenc, Juan Eugenio Iglesias
    http://arxiv.org/abs/2104.14873v1

    • [eess.SP]Cramér-Rao Bounds for Near-Field Localization
    Andrea De Jesus Torres, Antonio Alberto D’Amico, Luca Sanguinetti, Moe Z. Win
    http://arxiv.org/abs/2104.14825v1

    • [eess.SY]ModelGuard: Runtime Validation of Lipschitz-continuous Models
    Taylor J. Carpenter, Radoslav Ivanov, Insup Lee, James Weimer
    http://arxiv.org/abs/2104.15006v1

    • [math.OC]A Refined Inertial DCA for DC Programming
    Yu You, Yi-Shuai Niu
    http://arxiv.org/abs/2104.14750v1

    • [math.OC]On Stochastic Moving-Average Estimators for Non-Convex Optimization
    Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
    http://arxiv.org/abs/2104.14840v1

    • [math.PR]Maximum likelihood estimation for stochastic differential equations driven by a mixed fractional Brownian motion with random effects
    B. L. S. Prakasa Rao
    http://arxiv.org/abs/2104.14888v1

    • [math.ST]Automatic Debiased Machine Learning via Neural Nets for Generalized Linear Regression
    Victor Chernozhukov, Victor Chernozhukov, Victor Quintas-Martinez, Vasilis Syrgkanis
    http://arxiv.org/abs/2104.14737v1

    • [math.ST]Epistemic confidence, the Dutch Book and relevant subsets
    Yudi Pawitan, Hangbin Lee, Youngjo Lee
    http://arxiv.org/abs/2104.14712v1

    • [math.ST]Exact Detection Thresholds for Chatterjee’s Correlation
    Arnab Auddy, Nabarun Deb, Sagnik Nandy
    http://arxiv.org/abs/2104.15140v1

    • [math.ST]Spiked Singular Values and Vectors under Extreme Aspect Ratios
    Michael J. Feldman
    http://arxiv.org/abs/2104.15127v1

    • [physics.soc-ph]Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks
    Krittika D’Silva, Jordan Cambe, Anastasios Noulas, Cecilia Mascolo, Adam Waksman
    http://arxiv.org/abs/2104.14633v1

    • [q-bio.NC]Analysis of Molecular Communications on the Growth Structure of Glioblastoma Multiforme
    Hamdan Awan, Andreani Odysseos, Niovi Nicolaou, Sasitharan Balasubramaniam
    http://arxiv.org/abs/2104.14954v1

    • [q-bio.QM]Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
    Junhua Chen, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, Inigo Bermejo
    http://arxiv.org/abs/2104.15050v1

    • [quant-ph]Automatically Differentiable Quantum Circuit for Many-qubit State Preparation
    Peng-Fei Zhou, Rui Hong, Shi-Ju Ran
    http://arxiv.org/abs/2104.14949v1

    • [quant-ph]Continuous black-box optimization with quantum annealing and random subspace coding
    Syun Izawa, Koki Kitai, Shu Tanaka, Ryo Tamura, Koji Tsuda
    http://arxiv.org/abs/2104.14778v1

    • [quant-ph]Optimal Adaptive Strategies for Sequential Quantum Hypothesis Testing
    Yonglong Li, Vincent Y. F. Tan, Marco Tomamichel
    http://arxiv.org/abs/2104.14706v1

    • [stat.AP]Bayesian Information Criterion for Linear Mixed-effects Models
    Nan Shen, Bárbara González
    http://arxiv.org/abs/2104.14725v1

    • [stat.AP]Calibration of wind speed ensemble forecasts for power generation
    Sándor Baran, Ágnes Baran
    http://arxiv.org/abs/2104.14910v1

    • [stat.AP]Does Covid-19 Mass Testing Work? The Importance of Accounting for the Epidemic Dynamics
    Davide Ferrari, Steven Stillman, Mirco Tonin
    http://arxiv.org/abs/2104.14813v1

    • [stat.AP]Dose Finding Studies for Therapies with Late-Onset Toxicities: A Comparison Study of Designs
    Helen Barnett, Oliver Boix, Dimintris Kontos, Thomas Jaki
    http://arxiv.org/abs/2104.15086v1

    • [stat.AP]Inference and model determination for Temperature-Driven non-linear Ecological Models
    Marios Kondakis, Nikolaos Demiris, Ioannis Ntzoufras, Nikos E. Papanikolaou
    http://arxiv.org/abs/2104.15043v1

    • [stat.AP]Models Based on Exponential Interarrival Times for Single-Unusual-Event Count Data
    Wanrudee Skulpakdee, Mongkol Hunkrajok
    http://arxiv.org/abs/2104.15087v1

    • [stat.AP]The potential stickiness of pandemic-induced behavior changes in the United States
    Deborah Salon, Matthew Wigginton Conway, Denise Capasso da Silva, Rishabh Singh Chauhan, Sybil Derrible, Kouros Mohammadian, Sara Khoeini, Nathan Parker, Laura Mirtich, Ali Shamshiripour, Ehsan Rahimi, Ram Pendyala
    http://arxiv.org/abs/2104.14708v1

    • [stat.CO]MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation
    Amanda Muyskens, Benjamin Priest, Imène Goumiri, Michael Schneider
    http://arxiv.org/abs/2104.14581v1

    • [stat.ME]A Comparison of Model-Free Phase I Dose Escalation Designs for Dual-Agent Combination Therapies
    Helen Yvette Barnett, Matthew George, Donia Skanji, Gaelle Saint-Hilary, Thomas Jaki, Pavel Mozgunov
    http://arxiv.org/abs/2104.14923v1

    • [stat.ME]A Randomized Missing Data Approach to Robust Filtering and Forecasting
    Dobrislav Dobrev, Derek Hansen, Pawel Szerszen
    http://arxiv.org/abs/2104.14664v1

    • [stat.ME]Adaptive Realized Hyperbolic GARCH Process: Stability and Estimation
    El Hadji Mamadou Sall, El Hadji Deme, Abdou Kâ Diongue
    http://arxiv.org/abs/2104.14714v1

    • [stat.ME]Dynamic Gene Coexpression Analysis with Correlation Modeling
    Tae Hyun Kim, Dan Nicolae
    http://arxiv.org/abs/2104.14695v1

    • [stat.ME]Efficient Multiple Testing Adjustment for Hierarchical Inference
    Claude Renaux, Peter Bühlmann
    http://arxiv.org/abs/2104.15028v1

    • [stat.ME]Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External Data
    Xiudi Li, Sijia Li, Alex Luedtke
    http://arxiv.org/abs/2104.14752v1

    • [stat.ME]Gaussian Universal Likelihood Ratio Testing
    Robin Dunn, Aaditya Ramdas, Sivaraman Balakrishnan, Larry Wasserman
    http://arxiv.org/abs/2104.14676v1

    • [stat.ME]Interpretability of Epidemiological Models : The Curse of Non-Identifiability
    Ayush Deva, Siddhant Shingi, Avtansh Tiwari, Nayana Bannur, Sansiddh Jain, Jerome White, Alpan Raval, Srujana Merugu
    http://arxiv.org/abs/2104.14821v1

    • [stat.ME]Joint Linear Trend Recovery Using L1 Regularization
    Xiaoli Gao, Ejaz Ahmed
    http://arxiv.org/abs/2104.14827v1

    • [stat.ME]Network Recovery from Unlabeled Noisy Samples
    Nathaniel Josephs, Wenrui Li, Eric D. Kolaczyk
    http://arxiv.org/abs/2104.14952v1

    • [stat.ME]Nonparametric tests of independence for circular data based on trigonometric moments
    Eduardo García-Portugués, Pierre Lafaye de Micheaux, Simos G. Meintanis, Thomas Verdebout
    http://arxiv.org/abs/2104.14620v1

    • [stat.ME]Querying multiple sets of
    Tristan Mary-Huard, Sarmistha Das, Indranil Mukhopadhyay, Stéphane Robin
    http://arxiv.org/abs/2104.14601v1

    • [stat.ML]A Riemannian Newton Trust-Region Method for Fitting Gaussian Mixture Models
    Lena Sembach, Jan Pablo Burgard, Volker H. Schulz
    http://arxiv.org/abs/2104.14957v1

    • [stat.ML]Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
    Simen Eide, David S. Leslie, Arnoldo Frigessi
    http://arxiv.org/abs/2104.15046v1

    • [stat.ML]Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data
    Yikun Zhang, Yen-Chi Chen
    http://arxiv.org/abs/2104.14977v1

    • [stat.ML]On In-network learning. A Comparative Study with Federated and Split Learning
    Matei Moldoveanu, Abdellatif Zaidi
    http://arxiv.org/abs/2104.14929v1

    • [stat.ML]Ranking the information content of distance measures
    Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gabor Csanyi, Alessandro Laio
    http://arxiv.org/abs/2104.15079v1