cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.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.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.GN - 一般经济学
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.ST - 统计理论
physics.flu-dyn - 流体动力学
physics.soc-ph - 物理学与社会
q-bio.OT - 其他定量生物学
q-fin.PM - 投资组合管理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]Constructing a personalized learning path using genetic algorithms approach
• [cs.AI]Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI
• [cs.AI]Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System
• [cs.AI]Secure Artificial Intelligence of Things for Implicit Group Recommendations
• [cs.CL]BERT-CoQAC: BERT-based Conversational Question Answering in Context
• [cs.CL]Claim Detection in Biomedical Twitter Posts
• [cs.CL]Deep learning for sentence clustering in essay grading support
• [cs.CL]Earnings-21: A Practical Benchmark for ASR in the Wild
• [cs.CL]Evaluating Deception Detection Model Robustness To Linguistic Variation
• [cs.CL]LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
• [cs.CL]Learning to Learn to be Right for the Right Reasons
• [cs.CL]Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection
• [cs.CL]Optimizing small BERTs trained for German NER
• [cs.CL]QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification
• [cs.CL]Transfer training from smaller language model
• [cs.CL]Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis
• [cs.CL]Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
• [cs.CR]Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation
• [cs.CR]Literature review on vulnerability detection using NLP technology
• [cs.CV]A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
• [cs.CV]AttWalk: Attentive Cross-Walks for Deep Mesh Analysis
• [cs.CV]CapillaryNet: An Automated System to Analyze Microcirculation Videos from Handheld Vital Microscopy
• [cs.CV]Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches
• [cs.CV]DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking
• [cs.CV]DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning
• [cs.CV]Eigenbackground Revisited: Can We Model the Background with Eigenvectors?
• [cs.CV]Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms
• [cs.CV]Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification
• [cs.CV]Fine-Grained Texture Identification for Reliable Product Traceability
• [cs.CV]H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
• [cs.CV]H2O: A Benchmark for Visual Human-human Object Handover Analysis
• [cs.CV]Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images
• [cs.CV]Learnable Online Graph Representations for 3D Multi-Object Tracking
• [cs.CV]Learning to Cluster Faces via Transformer
• [cs.CV]Low Pass Filter for Anti-aliasing in Temporal Action Localization
• [cs.CV]MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance
• [cs.CV]Middle-level Fusion for Lightweight RGB-D Salient Object Detection
• [cs.CV]Modeling long-term interactions to enhance action recognition
• [cs.CV]Motion Representations for Articulated Animation
• [cs.CV]Online recognition of unsegmented actions with hierarchical SOM architecture
• [cs.CV]Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
• [cs.CV]Region-Adaptive Deformable Network for Image Quality Assessment
• [cs.CV]STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains
• [cs.CV]Safe Fakes: Evaluating Face Anonymizers for Face Detectors
• [cs.CV]Sequential convolutional network for behavioral pattern extraction in gait recognition
• [cs.CV]Skeletor: Skeletal Transformers for Robust Body-Pose Estimation
• [cs.CV]Sketch-based Normal Map Generation with Geometric Sampling
• [cs.CV]Skip-Convolutions for Efficient Video Processing
• [cs.CV]SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos
• [cs.CV]Stroke-Based Scene Text Erasing Using Synthetic Data
• [cs.CV]Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
• [cs.CV]TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection
• [cs.CV]VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution
• [cs.CV]VidTr: Video Transformer Without Convolutions
• [cs.CY]”I’m a Professor, which isn’t usually a dangerous job”: Internet-Facilitated Harassment and its Impact on Researchers
• [cs.CY]How to help university students to manage their interruptions and improve their attention and time management
• [cs.DC]Decentralized Federated Averaging
• [cs.DC]In-Situ Assessment of Device-Side Compute Work for Dynamic Load Balancing in a GPU-Accelerated PIC Code
• [cs.DC]Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities
• [cs.DC]Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap
• [cs.DC]tcFFT: Accelerating Half-Precision FFT through Tensor Cores
• [cs.HC]Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework
• [cs.IR]APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization
• [cs.IR]Tablext: A Combined Neural Network And Heuristic Based Table Extractor
• [cs.IT]AFDM: A Full Diversity Next Generation Waveform for High Mobility Communications
• [cs.IT]Impact of Channel Aging on Cell-Free Massive MIMO Over Spatially Correlated Channels
• [cs.IT]Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex with Limited Dynamic Range
• [cs.IT]UAV Communications with WPT-aided Cell-Free Massive MIMO Systems
• [cs.LG]A Framework for Recognizing and Estimating Human Concentration Levels
• [cs.LG]A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities
• [cs.LG]A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control
• [cs.LG]A modularity comparison of Long Short-Term Memory and Morphognosis neural networks
• [cs.LG]A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning
• [cs.LG]Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
• [cs.LG]Carbon Emissions and Large Neural Network Training
• [cs.LG]DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies
• [cs.LG]Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection
• [cs.LG]Exact priors of finite neural networks
• [cs.LG]Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery
• [cs.LG]GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits
• [cs.LG]Inductive biases and Self Supervised Learning in modelling a physical heating system
• [cs.LG]Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy
• [cs.LG]Inter-choice dependent super-network weights
• [cs.LG]Knodle: Modular Weakly Supervised Learning with PyTorch
• [cs.LG]Learning phylogenetic trees as hyperbolic point configurations
• [cs.LG]Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy
• [cs.LG]On Geodesic Distances and Contextual Embedding Compression for Text Classification
• [cs.LG]Robust Federated Learning by Mixture of Experts
• [cs.LG]SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
• [cs.LG]Safe Chance Constrained Reinforcement Learning for Batch Process Control
• [cs.LG]Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems
• [cs.LG]Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks
• [cs.LG]Time Series Forecasting via Learning Convolutionally Low-Rank Models
• [cs.LG]Unsupervised Information Obfuscation for Split Inference of Neural Networks
• [cs.MA]Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL
• [cs.MM]The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System
• [cs.NE]Learning in Deep Neural Networks Using a Biologically Inspired Optimizer
• [cs.NI]SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks
• [cs.RO]Accuracy and precision: a new view on kinematic assessment of solid-state hinges and compliant mechanisms
• [cs.RO]Automatic Grasp Pose Generation for Parallel Jaw Grippers
• [cs.RO]Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data
• [cs.RO]Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation
• [cs.RO]Grasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Activ
78b
e Vision Methods
• [cs.RO]Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research
• [cs.RO]OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation
• [cs.RO]Optimal Cost Design for Model Predictive Control
• [cs.RO]Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images
• [cs.RO]Speed Planning Using Bezier Polynomials with Trapezoidal Corridors
• [cs.SD]3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces
• [cs.SD]Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation
• [cs.SD]Deep Learning Based Assessment of Synthetic Speech Naturalness
• [cs.SD]DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data
• [cs.SD]Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification
• [cs.SD]Restoring degraded speech via a modified diffusion model
• [cs.SE]Structuring and presenting data for testing of automotive electronics to reduce effort during decision making
• [cs.SI]Estimating the Number of HIV+ Latino MSM Using RDS, SS-PSE, and the Census
• [cs.SI]Low Complex, Narrowband-Interference Robust Synchronization for NC-OFDM Cognitive Radio
• [cs.SI]Mutual Hyperlinking Among Misinformation Peddlers
• [cs.SI]Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks
• [econ.GN]Managing mental & psychological wellbeing amidst COVID-19 pandemic: Positive psychology interventions
• [eess.IV]Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction
• [eess.IV]Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning
• [eess.IV]Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid
• [eess.SP]Antenna Efficiency in Massive MIMO Detection
• [eess.SP]Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems
• [eess.SP]Probabilistic Rainfall Estimation from Automotive Lidar
• [eess.SY]Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems
• [math.OC]A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization
• [math.OC]Connecting Hamilton—Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors
• [math.ST]A calculus for causal inference with instrumental variables
• [math.ST]Bayesian predictive inference without a prior
• [math.ST]Change point inference in ergodic diffusion processes based on high frequency data
• [math.ST]Learning to reflect: A unifying approach for data-driven stochastic control strategies
• [math.ST]Transitional Conditional Independence
• [physics.flu-dyn]Consistent and symmetry preserving data-driven interface reconstruction for the level-set method
• [physics.soc-ph]Evolutionary game model of risk propensity in group decision making
• [q-bio.OT]A field guide to cultivating computational biology
• [q-fin.PM]Dynamic investment portfolio optimization using a Multivariate Merton Model with Correlated Jump Risk
• [stat.AP]A Gaussian Process Model of Cross-Category Dynamics in Brand Choice
• [stat.AP]Data filtering methods for SARS-CoV-2 wastewater surveillance
• [stat.AP]Establishing phone-pair co-usage by comparing mobility patterns
• [stat.AP]Extending the Heston Model to Forecast Motor Vehicle Collision Rates
• [stat.AP]Heterogeneous item populations across individuals: Consequences for the factor model, item inter-correlations, and scale validity
• [stat.AP]Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering
• [stat.AP]Stochastic modeling of in vitro bactericidal potency
• [stat.ME]Asymptotic Incidence Rate estimation of SARS-COVID-19 via a Polya process scheme: a comparative analysis in Italy and European Countries
• [stat.ME]Inferring medication adherence from time-varying health measures
• [stat.ME]Joint Mean-Vector and Var-Matrix estimation for Locally Stationary VAR(1) processes
• [stat.ME]Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support
• [stat.ME]PROFIT: Projection-based Test in Longitudinal Functional Data
• [stat.ME]Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters
• [stat.ML]Grouped Feature Importance and Combined Features Effect Plot
·····································
• [cs.AI]Constructing a personalized learning path using genetic algorithms approach
Lumbardh Elshani, Krenare Pireva Nuçi
http://arxiv.org/abs/2104.11276v1
• [cs.AI]Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI
Michael Timothy Bennett, Yoshihiro Maruyama
http://arxiv.org/abs/2104.11573v1
• [cs.AI]Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System
Cheng Luo, Jiancheng Lv
http://arxiv.org/abs/2104.11454v1
• [cs.AI]Secure Artificial Intelligence of Things for Implicit Group Recommendations
Keping Yu, Zhiwei Guo, Yu Shen, Wei Wang, Jerry Chun-Wei Lin, Takuro Sato
http://arxiv.org/abs/2104.11699v1
• [cs.CL]BERT-CoQAC: BERT-based Conversational Question Answering in Context
Munazza Zaib, Dai Hoang Tran, Subhash Sagar, Adnan Mahmood, Wei E. Zhang, Quan Z. Sheng
http://arxiv.org/abs/2104.11394v1
• [cs.CL]Claim Detection in Biomedical Twitter Posts
Amelie Wührl, Roman Klinger
http://arxiv.org/abs/2104.11639v1
• [cs.CL]Deep learning for sentence clustering in essay grading support
Li-Hsin Chang, Iiro Rastas, Sampo Pyysalo, Filip Ginter
http://arxiv.org/abs/2104.11556v1
• [cs.CL]Earnings-21: A Practical Benchmark for ASR in the Wild
Miguel Del Rio, Natalie Delworth, Ryan Westerman, Michelle Huang, Nishchal Bhandari, Joseph Palakapilly, Quinten McNamara, Joshua Dong, Piotr Zelasko, Miguel Jette
http://arxiv.org/abs/2104.11348v1
• [cs.CL]Evaluating Deception Detection Model Robustness To Linguistic Variation
Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova
http://arxiv.org/abs/2104.11729v1
• [cs.CL]LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
Solene Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Esteve, Benjamin Lecouteux, Francois Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier
http://arxiv.org/abs/2104.11462v1
• [cs.CL]Learning to Learn to be Right for the Right Reasons
Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui
http://arxiv.org/abs/2104.11514v1
• [cs.CL]Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection
Nguyen Manh Duc Tuan, Pham Quang Nhat Minh
http://arxiv.org/abs/2104.11476v1
• [cs.CL]Optimizing small BERTs trained for German NER
Jochen Zöllner, Konrad Sperfeld, Christoph Wick, Roger Labahn
http://arxiv.org/abs/2104.11559v1
• [cs.CL]QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification
Xia Zeng, Arkaitz Zubiaga
http://arxiv.org/abs/2104.11572v1
• [cs.CL]Transfer training from smaller language model
Han Zhang
http://arxiv.org/abs/2104.11390v1
• [cs.CL]Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis
Glorianna Jagfeld, Fiona Lobban, Paul Rayson, Steven H. Jones
http://arxiv.org/abs/2104.11612v1
• [cs.CL]Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
Wenliang Dai, Samuel Cahyawijaya, Yejin Bang, Pascale Fung
http://arxiv.org/abs/2104.11560v1
• [cs.CR]Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation
Prakruthi Karuna, Erik Hemberg, Una-May O’Reilly, Nick Rutar
http://arxiv.org/abs/2104.11576v1
• [cs.CR]Literature review on vulnerability detection using NLP technology
Jiajie Wu
http://arxiv.org/abs/2104.11230v1
• [cs.CV]A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
http://arxiv.org/abs/2104.11600v1
• [cs.CV]AttWalk: Attentive Cross-Walks for Deep Mesh Analysis
Ran Ben Izhak, Alon Lahav, Ayellet Tal
http://arxiv.org/abs/2104.11571v1
• [cs.CV]CapillaryNet: An Automated System to Analyze Microcirculation Videos from Handheld Vital Microscopy
Maged Helmy, Anastasiya Dykyy, Tuyen Trung Truong, Paulo Ferreira, Eric Jul
http://arxiv.org/abs/2104.11574v1
• [cs.CV]Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches
Jose L. Gómez, Gabriel Villalonga, Antonio M. López
http://arxiv.org/abs/2104.11619v1
• [cs.CV]DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking
Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao
http://arxiv.org/abs/2104.11585v1
• [cs.CV]DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning
Sheldon Fung, Xuequan Lu, Chao Zhang, Chang-Tsun Li
http://arxiv.org/abs/2104.11507v1
• [cs.CV]Eigenbackground Revisited: Can We Model the Background with Eigenvectors?
Mahmood Amintoosi, Farzam Farbiz
http://arxiv.org/abs/2104.11379v1
• [cs.CV]Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms
Andrew K. Saydjari, Douglas P. Finkbeiner
http://arxiv.org/abs/2104.11244v1
• [cs.CV]Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification
Nianchang Huang, Jianan Liu, Qiang Zhang, Jungong Han
http://arxiv.org/abs/2104.11539v1
• [cs.CV]Fine-Grained Texture Identification for Reliable Product Traceability
Junsong Wang, Yubo Li, Zhiyong Chang, Haitao Yue, Yonghua Lin
http://arxiv.org/abs/2104.11548v1
• [cs.CV]H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
Baoru Huang, Jian-Qing Zheng, Stamatia Giannarou, Daniel S. Elson
http://arxiv.org/abs/2104.11288v1
• [cs.CV]H2O: A Benchmark for Visual Human-human Object Handover Analysis
Ruolin Ye, Wenqiang Xu, Zhendong Xue, Tutian Tang, Yanfeng Wang, Cewu Lu
http://arxiv.org/abs/2104.11466v1
• [cs.CV]Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images
Rohan Wadhawan, Tapan K. Gandhi
http://arxiv.org/abs/2104.11274v1
• [cs.CV]Learnable Online Graph Representations for 3D Multi-Object Tracking
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool
http://arxiv.org/abs/2104.11747v1
• [cs.CV]Learning to Cluster Faces via Transformer
Jinxing Ye, Xioajiang Peng, Baigui Sun, Kai Wang, Xiuyu Sun, Hao Li, Hanqing Wu
http://arxiv.org/abs/2104.11502v1
• [cs.CV]Low Pass Filter for Anti-aliasing in Temporal Action Localization
Cece Jin, Yuanqi Chen, Ge Li, Tao Zhang, Thomas Li
http://arxiv.org/abs/2104.11403v1
• [cs.CV]MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance
Roberto Olmos, Siham Tabik, Francisco Perez-Hernandez, Alberto Lamas, Francisco Herrera
http://arxiv.org/abs/2104.11653v1
• [cs.CV]Middle-level Fusion for Lightweight RGB-D Salient Object Detection
Nianchang Huang, Qiang Zhang, Jungong Han
http://arxiv.org/abs/2104.11543v1
• [cs.CV]Modeling long-term interactions to enhance action recognition
Alejandro Cartas, Petia Radeva, Mariella Dimiccoli
http://arxiv.org/abs/2104.11520v1
• [cs.CV]Motion Representations for Articulated Animation
Aliaksandr Siarohin, Oliver J. Woodford, Jian Ren, Menglei Chai, Sergey Tulyakov
http://arxiv.org/abs/2104.11280v1
• [cs.CV]Online recognition of unsegmented actions with hierarchical SOM architecture
Zahra Gharaee
http://arxiv.org/abs/2104.11637v1
• [cs.CV]Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
Wu Liu, Qian Bao, Yu Sun, Tao Mei
http://arxiv.org/abs/2104.11536v1
• [cs.CV]Region-Adaptive Deformable Network for Image Quality Assessment
Shuwei Shi, Qingyan Bai, Mingdeng Cao, Weihao Xia, Jiahao Wang, Yifan Chen, Yujiu Yang
http://arxiv.org/abs/2104.11599v1
• [cs.CV]STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains
Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger
http://arxiv.org/abs/2104.11596v1
• [cs.CV]Safe Fakes: Evaluating Face Anonymizers for Face Detectors
Sander R. Klomp, Matthew van Rijn, Rob G. J. Wijnhoven, Cees G. M. Snoek, Peter H. N. de With
http://arxiv.org/abs/2104.11721v1
• [cs.CV]Sequential convolutional network for behavioral pattern extraction in gait recognition
Xinnan Ding, Kejun Wang, Chenhui Wang, Tianyi Lan, Liangliang Liu
http://arxiv.org/abs/2104.11473v1
• [cs.CV]Skeletor: Skeletal Transformers for Robust Body-Pose Estimation
Tao Jiang, Necati Cihan Camgoz, Richard Bowden
http://arxiv.org/abs/2104.11712v1
• [cs.CV]Sketch-based Normal Map Generation with Geometric Sampling
Yi He, Haoran Xie, Chao Zhang, Xi Yang, Kazunori Miyata
http://arxiv.org/abs/2104.11554v1
• [cs.CV]Skip-Convolutions for Efficient Video Processing
Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi
http://arxiv.org/abs/2104.11487v1
• [cs.CV]SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos
Xin Chen, Anqi Pang, Wei Yang, Yuexin Ma, Lan Xu, Jingyi Yu
http://arxiv.org/abs/2104.11452v1
• [cs.CV]Stroke-Based Scene Text Erasing Using Synthetic Data
Zhengmi Tang, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi
http://arxiv.org/abs/2104.11493v1
• [cs.CV]Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth
http://arxiv.org/abs/2104.11530v1
• [cs.CV]TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection
Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim
http://arxiv.org/abs/2104.11435v1
• [cs.CV]VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution
Tekin Evrim Ozmermer, Viktors Roze, Stanislavs Hilcuks, Alina Nescerecka
http://arxiv.org/abs/2104.11231v1
• [cs.CV]VidTr: Video Transformer Without Convolutions
Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe
http://arxiv.org/abs/2104.11746v1
• [cs.CY]“I’m a Professor, which isn’t usually a dangerous job”: Internet-Facilitated Harassment and its Impact on Researchers
Periwinkle Doerfler, Andrea Forte, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn, Damon McCoy
http://arxiv.org/abs/2104.11145v2
• [cs.CY]How to help university students to manage their interruptions and improve their attention and time management
Aurora Vizcaíno, Ignacio García-Rodríguez de Guzmán, Antonio Manjavacas, Félix García, José A. Cruz-Lemus, Manuel Ángel Serrano
http://arxiv.org/abs/2104.11448v1
• [cs.DC]Decentralized Federated Averaging
Tao Sun, Dongsheng Li, Bao Wang
http://arxiv.org/abs/2104.11375v1
• [cs.DC]In-Situ Assessment of Device-Side Compute Work for Dynamic Load Balancing in a GPU-Accelerated PIC Code
Michael E. Rowan, Axel Huebl, Kevin N. Gott, Jack Deslippe, Maxence Thévenet, Remi Lehe, Jean-Luc Vay
http://arxiv.org/abs/2104.11385v1
• [cs.DC]Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities
Shradha Shinde, Jay Joshi, Sowmya Mareedu, Yeon Pyo Kim, Jongwook Woo
http://arxiv.org/abs/2104.11349v1
• [cs.DC]Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap
Xiaoyi Lu, Arjun Kashyap
http://arxiv.org/abs/2104.11272v1
• [cs.DC]tcFFT: Accelerating Half-Precision FFT through Tensor Cores
Binrui Li, Shenggan Cheng, James Lin
http://arxiv.org/abs/2104.11471v1
• [cs.HC]Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali
http://arxiv.org/abs/2104.11483v1
• [cs.IR]APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization
Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifa Al Jadda, Surya Kallumadi, Eugene Agichtein
http://arxiv.org/abs/2104.11384v1
• [cs.IR]Tablext: A Combined Neural Network And Heuristic Based Table Extractor
Zach Colter, Morteza Fayazi, Zineb Benameur-El, Serafina Kamp, Shuyan Yu, Ronald Dreslinski
http://arxiv.org/abs/2104.11287v1
• [cs.IT]AFDM: A Full Diversity Next Generation Waveform for High Mobility Communications
Ali Bemani, Nassar Ksairi, Marios Kountouris
http://arxiv.org/abs/2104.11331v1
• [cs.IT]Impact of Channel Aging on Cell-Free Massive MIMO Over Spatially Correlated Channels
Jiakang Zheng, Jiayi Zhang, Emil Björnson, Bo Ai
http://arxiv.org/abs/2104.11500v1
• [cs.IT]Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex with Limited Dynamic Range
Chandan Kumar Sheemar, Christo Kurisummoottil Thomas Dirk Slock
http://arxiv.org/abs/2104.11537v1
• [cs.IT]UAV Communications with WPT-aided Cell-Free Massive MIMO Systems
Jiakang Zheng, Jiayi Zhang, Bo Ai
http://arxiv.org/abs/2104.11513v1
• [cs.LG]A Framework for Recognizing and Estimating Human Concentration Levels
Woodo Lee, Jakyung Koo, Nokyung Park, Pilgu Kang, Jeakwon Shim
http://arxiv.org/abs/2104.11421v1
• [cs.LG]A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities
Kenneth Alperin, Emily Joback, Leslie Shing, Gabe Elkin
http://arxiv.org/abs/2104.11695v1
• [cs.LG]A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control
Keith D. Humfeld, Dawei Gu, Geoffrey A. Butler, Karl Nelson, Navid Zobeiry
http://arxiv.org/abs/2104.11342v1
• [cs.LG]A modularity comparison of Long Short-Term Memory and Morphognosis neural networks
Thomas E. Portegys
http://arxiv.org/abs/2104.11410v1
• [cs.LG]A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning
Julia Gastinger, Sébastien Nicolas, Dušica Stepić, Mischa Schmidt, Anett Schülke
http://arxiv.org/abs/2104.11475v1
• [cs.LG]Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard Zemel, Roger Grosse
http://arxiv.org/abs/2104.11044v2
• [cs.LG]Carbon Emissions and Large Neural Network Training
David Patterson, Joseph Gonzalez, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, Jeff Dean
http://arxiv.org/abs/2104.10350v3
• [cs.LG]DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies
Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine
http://arxiv.org/abs/2104.11707v1
• [cs.LG]Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection
Xuefeng Li, Alan Blair
http://arxiv.org/abs/2104.11610v1
• [cs.LG]Exact priors of finite neural networks
Jacob A. Zavatone-Veth, Cengiz Pehlevan
http://arxiv.org/abs/2104.11734v1
• [cs.LG]Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery
Tianyue Cheng, Tianchi Fan, Landi Wang
http://arxiv.org/abs/2104.11674v1
• [cs.LG]GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits
Bodhisatwa Mandal, Swarnendu Ghosh, Teresa Gonçalves, Paulo Quaresma, Mita Nasipuri, Nibaran Das
http://arxiv.org/abs/2104.11620v1
• [cs.LG]Inductive biases and Self Supervised Learning in modelling a physical heating system
Cristian Vicas
http://arxiv.org/abs/2104.11478v1
• [cs.LG]Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy
Jaehee Chun, Justin C. Park, Sven Olberg, You Zhang, Dan Nguyen, Jing Wang, Jin Sung Kim, Steve Jiang
http://arxiv.org/abs/2104.11401v1
• [cs.LG]Inter-choice dependent super-network weights
Kevin Alexander Laube, Andreas Zell
http://arxiv.org/abs/2104.11522v1
• [cs.LG]Knodle: Modular Weakly Supervised Learning with PyTorch
Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth
http://arxiv.org/abs/2104.11557v1
• [cs.LG]Learning phylogenetic trees as hyperbolic point configurations
Benjamin Wilson
http://arxiv.org/abs/2104.11430v1
• [cs.LG]Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy
Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung
http://arxiv.org/abs/2104.11408v1
• [cs.LG]On Geodesic Distances and Contextual Embedding Compression for Text Classification
Rishi Jha, Kai Mihata
http://arxiv.org/abs/2104.11295v1
• [cs.LG]Robust Federated Learning by Mixture of Experts
Saeedeh Parsaeefard, Sayed Ehsan Etesami, Alberto Leon Garcia
http://arxiv.org/abs/2104.11700v1
• [cs.LG]SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh
http://arxiv.org/abs/2104.11315v1
• [cs.LG]Safe Chance Constrained Reinforcement Learning for Batch Process Control
Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Río Chanona, Robin Smith, Dongda Zhang
http://arxiv.org/abs/2104.11706v1
• [cs.LG]Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljačić
http://arxiv.org/abs/2104.11667v1
• [cs.LG]Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks
Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu
http://arxiv.org/abs/2104.11470v1
• [cs.LG]Time Series Forecasting via Learning Convolutionally Low-Rank Models
Guangcan Liu
http://arxiv.org/abs/2104.11510v1
• [cs.LG]Unsupervised Information Obfuscation for Split Inference of Neural Networks
Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar
http://arxiv.org/abs/2104.11413v1
• [cs.MA]Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL
Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
http://arxiv.org/abs/2104.11455v1
• [cs.MM]The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System
Lorin Sweeney, Graham Healy, Alan F. Smeaton
http://arxiv.org/abs/2104.11568v1
• [cs.NE]Learning in Deep Neural Networks Using a Biologically Inspired Optimizer
Giorgia Dellaferrera, Stanislaw Wozniak, Giacomo Indiveri, Angeliki Pantazi, Evangelos Eleftheriou
http://arxiv.org/abs/2104.11604v1
• [cs.NI]SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks
Sinan Aksoy, Stephen Young, Jesun Firoz, Roberto Gioiosa, Mark Raugas, Juan Escobedo
http://arxiv.org/abs/2104.11725v1
• [cs.RO]Accuracy and precision: a new view on kinematic assessment of solid-state hinges and compliant mechanisms
Lucio Flavio Campanile, Stephanie Kirmse, Alexander Hasse
http://arxiv.org/abs/2104.11451v1
• [cs.RO]Automatic Grasp Pose Generation for Parallel Jaw Grippers
Kilian Kleeberger, Florian Roth, Richard Bormann, Marco F. Huber
http://arxiv.org/abs/2104.11660v1
• [cs.RO]Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data
Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi
http://arxiv.org/abs/2104.11489v1
• [cs.RO]Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation
Parker Ewen, Jean-Pierre Sleiman, Yuxin Chen, Wei-Chun Lu, Marco Hutter, Ram Vasudevan
http://arxiv.org/abs/2104.11685v1
• [cs.RO]**Grasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Activ
78b
e Vision Methods**
Sabhari Natarajan, Galen Brown, Berk Calli
http://arxiv.org/abs/2104.11372v1
• [cs.RO]Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research
Arnaud Taffanel, Barbara Rousselot, Jonas Danielsson, Kimberly McGuire, Kristoffer Richardsson, Marcus Eliasson, Tobias Antonsson, Wolfgang Hönig
http://arxiv.org/abs/2104.11523v1
• [cs.RO]OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation
Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Songyan Xin, Maximo A. Roa, Berk Calli, Hao Su, Yu Sun, Ping Tan
http://arxiv.org/abs/2104.11446v1
• [cs.RO]Optimal Cost Design for Model Predictive Control
Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan
http://arxiv.org/abs/2104.11353v1
• [cs.RO]Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images
Vishnu Dutt Sharma, Pratap Tokekar
http://arxiv.org/abs/2104.11709v1
• [cs.RO]Speed Planning Using Bezier Polynomials with Trapezoidal Corridors
Jialun Li, Xiaojia Xie, Hengbo Ma, Xiao Liu, Jianping He
http://arxiv.org/abs/2104.11655v1
• [cs.SD]3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces
László Tóth, Amin Honarmandi Shandiz
http://arxiv.org/abs/2104.11532v1
• [cs.SD]Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation
Marco Gaido, Matteo Negri, Mauro Cettolo, Marco Turchi
http://arxiv.org/abs/2104.11710v1
• [cs.SD]Deep Learning Based Assessment of Synthetic Speech Naturalness
Gabriel Mittag, Sebastian Möller
http://arxiv.org/abs/2104.11673v1
• [cs.SD]DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data
Shahin Amiriparian, Tobias Hübner, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller
http://arxiv.org/abs/2104.11629v1
• [cs.SD]Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification
Chunyan Ji, Yi Pan
http://arxiv.org/abs/2104.11395v1
• [cs.SD]Restoring degraded speech via a modified diffusion model
Jianwei Zhang, Suren Jayasuriya, Visar Berisha
http://arxiv.org/abs/2104.11347v1
• [cs.SE]Structuring and presenting data for testing of automotive electronics to reduce effort during decision making
Martin Tran, Ashish M Husain
http://arxiv.org/abs/2104.11486v1
• [cs.SI]Estimating the Number of HIV+ Latino MSM Using RDS, SS-PSE, and the Census
Nicholas Budzban, Katherine Silverio, John Matta
http://arxiv.org/abs/2104.11633v1
• [cs.SI]Low Complex, Narrowband-Interference Robust Synchronization for NC-OFDM Cognitive Radio
Pawel Kryszkiewicz, Hanna Bogucka
http://arxiv.org/abs/2104.11307v1
• [cs.SI]Mutual Hyperlinking Among Misinformation Peddlers
Vibhor Sehgal, Ankit Peshin, Sadia Afroz, Hany Farid
http://arxiv.org/abs/2104.11694v1
• [cs.SI]Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
http://arxiv.org/abs/2104.11641v1
• [econ.GN]Managing mental & psychological wellbeing amidst COVID-19 pandemic: Positive psychology interventions
Maria Tresita V. Paul, Uma N. Devi
http://arxiv.org/abs/2104.11726v1
• [eess.IV]Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction
Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
http://arxiv.org/abs/2104.11436v1
• [eess.IV]Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning
Yige Peng, Lei Bi, Ashnil Kumar, Michael Fulham, Dagan Feng, Jinman Kim
http://arxiv.org/abs/2104.11416v1
• [eess.IV]Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid
Mengfan Li
http://arxiv.org/abs/2104.11551v1
• [eess.SP]Antenna Efficiency in Massive MIMO Detection
Ruichen Jiang, Ya-Feng Liu
http://arxiv.org/abs/2104.11549v1
• [eess.SP]Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems
Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li
http://arxiv.org/abs/2104.11541v1
• [eess.SP]Probabilistic Rainfall Estimation from Automotive Lidar
Robin Karlsson, David Robert Wong, Kazunari Kawabata, Simon Thompson, Naoki Sakai
http://arxiv.org/abs/2104.11467v1
• [eess.SY]Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems
Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
http://arxiv.org/abs/2104.11434v1
• [math.OC]A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization
Hongcheng Liu, Yu Yang
http://arxiv.org/abs/2104.11283v1
• [math.OC]Connecting Hamilton—Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors
Jérôme Darbon, Gabriel P. Langlois, Tingwei Meng
http://arxiv.org/abs/2104.11285v1
• [math.ST]A calculus for causal inference with instrumental variables
Wing Hung Wong
http://arxiv.org/abs/2104.10633v2
• [math.ST]Bayesian predictive inference without a prior
Patrizia Berti, Emanuela Dreassi, Fabrizio Leisen, Pietro Rigo, Luca Pratelli
http://arxiv.org/abs/2104.11643v1
• [math.ST]Change point inference in ergodic diffusion processes based on high frequency data
Yozo Tonaki, Masayuki Uchida
http://arxiv.org/abs/2104.11438v1
• [math.ST]Learning to reflect: A unifying approach for data-driven stochastic control strategies
Sören Christensen, Claudia Strauch, Lukas Trottner
http://arxiv.org/abs/2104.11496v1
• [math.ST]Transitional Conditional Independence
Patrick Forré
http://arxiv.org/abs/2104.11547v1
• [physics.flu-dyn]Consistent and symmetry preserving data-driven interface reconstruction for the level-set method
Aaron B. Buhendwa, Deniz A. Bezgin, Nikolaus Adams
http://arxiv.org/abs/2104.11578v1
• [physics.soc-ph]Evolutionary game model of risk propensity in group decision making
Andrea Civilini, Nejat Anbarci, Vito Latora
http://arxiv.org/abs/2104.11270v1
• [q-bio.OT]A field guide to cultivating computational biology
Anne E Carpenter, Casey S Greene, Piero Carnici, Benilton S Carvalho, Michiel de Hoon, Stacey Finley, Kim-Anh Le Cao, Jerry SH Lee, Luigi Marchionni, Suzanne Sindi, Fabian J Theis, Gregory P Way, Jean YH Yang, Elana J Fertig
http://arxiv.org/abs/2104.11364v1
• [q-fin.PM]Dynamic investment portfolio optimization using a Multivariate Merton Model with Correlated Jump Risk
Bahareh Afhami, Mohsen Rezapour, Mohsen Madadi, Vahed Maroufy
http://arxiv.org/abs/2104.11594v1
• [stat.AP]A Gaussian Process Model of Cross-Category Dynamics in Brand Choice
Ryan Dew, Yuhao Fan
http://arxiv.org/abs/2104.11702v1
• [stat.AP]Data filtering methods for SARS-CoV-2 wastewater surveillance
Rezgar Arabzadeh, Daniel Martin Gruenbacher, Heribert Insam, Norbert Kreuzinger, Rudolf Markt, Wolfgang Rauch
http://arxiv.org/abs/2104.11566v1
• [stat.AP]Establishing phone-pair co-usage by comparing mobility patterns
Wauter Bosma, Sander Dalm, Erwin van Eijk, Rachid el Harchaoui, Edwin Rijgersberg, Hannah Tereza Tops, Alle Veenstra, Rolf Ypma
http://arxiv.org/abs/2104.11683v1
• [stat.AP]Extending the Heston Model to Forecast Motor Vehicle Collision Rates
Darren Shannon, Grigorios Fountas
http://arxiv.org/abs/2104.11461v1
• [stat.AP]Heterogeneous item populations across individuals: Consequences for the factor model, item inter-correlations, and scale validity
André Beauducel, Norbert Hilger
http://arxiv.org/abs/2104.11526v1
• [stat.AP]Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering
Andrea Sottosanti, Mauro Bernardi, Alessandra R. Brazzale, Alex Geringer-Sameth, David C. Stenning, Roberto Trotta, David A. van Dyk
http://arxiv.org/abs/2104.11492v1
• [stat.AP]Stochastic modeling of in vitro bactericidal potency
Anita Bogdanov, Péter Kevei, Máté Szalai, Dezső Virok
http://arxiv.org/abs/2104.11525v1
• [stat.ME]Asymptotic Incidence Rate estimation of SARS-COVID-19 via a Polya process scheme: a comparative analysis in Italy and European Countries
Filippo Carone Fabiani
http://arxiv.org/abs/2104.11722v1
• [stat.ME]Inferring medication adherence from time-varying health measures
Kristen B. Hunter, Mark E. Glickman, Luis F. Campos
http://arxiv.org/abs/2104.11651v1
• [stat.ME]Joint Mean-Vector and Var-Matrix estimation for Locally Stationary VAR(1) processes
Giovanni Motta
http://arxiv.org/abs/2104.11358v1
• [stat.ME]Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support
Jouni Kuha, Siliang Zhang, Fiona Steele
http://arxiv.org/abs/2104.11531v1
• [stat.ME]PROFIT: Projection-based Test in Longitudinal Functional Data
Salil Koner, So Young Park, Ana-Maria Staicu
http://arxiv.org/abs/2104.11355v1
• [stat.ME]Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters
Kyubaek Yoon, Hojun You, Wei-Ying Wu, Chae Young Lim, Jongeun Choi, Connor Boss, Ahmed Ramadan, John M. Popovich Jr., Jacek Cholewicki, N. Peter Reeves, Clark J. Radcliffe
http://arxiv.org/abs/2104.11426v1
• [stat.ML]Grouped Feature Importance and Combined Features Effect Plot
Quay Au, Julia Herbinger, Clemens Stachl, Bernd Bischl, Giuseppe Casalicchio