astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能
cs.AR - 硬件体系结构
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.DS - 数据结构与算法
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
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.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.chem-ph -化学物理
physics.med-ph - 医学物理学
q-bio.BM - 生物分子
q-bio.NC - 神经元与认知
q-bio.PE - 人口与发展
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.IM]Extreme Scale Survey Simulation with Python Workflows
• [cs.AI]Chess AI: Competing Paradigms for Machine Intelligence
• [cs.AI]Exact Learning of Qualitative Constraint Networks from Membership Queries
• [cs.AI]Modeling Dynamic Attributes for Next Basket Recommendation
• [cs.AI]Towards A Measure Of General Machine Intelligence
• [cs.AR]Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning
• [cs.CC]Punctured Large Distance Codes, and Many Reed-Solomon Codes, Achieve List-Decoding Capacity
• [cs.CL]A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification
• [cs.CL]AES Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses
• [cs.CL]DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference
• [cs.CL]Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding
• [cs.CL]Document Automation Architectures and Technologies: A Survey
• [cs.CL]Faithful Target Attribute Prediction in Neural Machine Translation
• [cs.CL]GERNERMED — An Open German Medical NER Model
• [cs.CL]How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
• [cs.CL]Indirectly Supervised English Sentence Break Prediction Using Paragraph Break Probability Estimates
• [cs.CL]Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering
• [cs.CL]Lacking the embedding of a word? Look it up into a traditional dictionary
• [cs.CL]Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus
• [cs.CL]Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
• [cs.CL]Rethinking Crowd Sourcing for Semantic Similarity
• [cs.CL]Revisiting the Uniform Information Density Hypothesis
• [cs.CL]Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text
• [cs.CL]SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
• [cs.CL]SD-QA: Spoken Dialectal Question Answering for the Real World
• [cs.CL]Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction
• [cs.CL]Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
• [cs.CL]Text-based NP Enrichment
• [cs.CL]Transformers Generalize Linearly
• [cs.CL]Unsupervised Translation of German—Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
• [cs.CL]iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
• [cs.CR]MORSE-STF: A Privacy Preserving Computation System
• [cs.CR]Privacy-Preserving Social Distancing Bracelet
• [cs.CR]The More, the Better? A Study on Collaborative Machine Learning for DGA Detection
• [cs.CV]CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
• [cs.CV]Catadioptric Stereo on a Smartphone
• [cs.CV]DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning
• [cs.CV]Dense Contrastive Visual-Linguistic Pretraining
• [cs.CV]Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial Network
• [cs.CV]Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
• [cs.CV]From images in the wild to video-informed image classification
• [cs.CV]GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds
• [cs.CV]How to find a good image-text embedding for remote sensing visual question answering?
• [cs.CV]Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images
• [cs.CV]Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild
• [cs.CV]MODNet-V: Improving Portrait Video Matting via Background Restoration
• [cs.CV]Multi-View Video-Based 3D Hand Pose Estimation
• [cs.CV]Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems
• [cs.CV]Quantifying point cloud realism through adversarially learned latent representations
• [cs.CV]RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection
• [cs.CV]Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification
• [cs.CV]Training dataset generation for bridge game registration
• [cs.CV]Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans
• [cs.CV]Unaligned Image-to-Image Translation by Learning to Reweight
• [cs.CV]Visual Scene Graphs for Audio Source Separation
• [cs.CV]ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation
• [cs.CY]Factors influencing Drug Consumption and Prediction Methods
• [cs.DC]Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models
• [cs.DC]Formal Verification of a Distributed Dynamic Reconfiguration Protocol
• [cs.DC]Paving the Way for Distributed ArtificialIntelligence over the Air
• [cs.DC]The Max-Line-Formation Problem
• [cs.DC]User-Defined Functions for HDF5
• [cs.DS]The Mirror Langevin Algorithm Converges with Vanishing Bias
• [cs.HC]Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability
• [cs.IR]Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation
• [cs.IR]Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation
• [cs.IR]Multi-behavior Graph Contextual Aware Network for Session-based Recommendation
• [cs.IT]A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation
• [cs.IT]Estimating Rényi’s -Cross-Entropies in a Matrix-Based Way
• [cs.IT]Graph-based Approximate Message Passing Iterations
• [cs.IT]Modeling and Measurements for Multi-path Mitigation with Reconfigurable Intelligent Surfaces
• [cs.IT]OTFS Without CP in Massive MIMO: Breaking Doppler Limitations with TR-MRC and Windowing
• [cs.IT]Performance Improvement of Dimmable OFDM-Visible Light Communication using Subcarrier Index Modulation and Reed Solomon Encoding
• [cs.IT]Sparse multi-reference alignment: sample complexity and computational hardness
• [cs.LG]A Generative Federated Learning Framework for Differential Privacy
• [cs.LG]A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems
• [cs.LG]A dynamic programming algorithm for informative measurements and near-optimal path-planning
• [cs.LG]Adversarial Neural Trip Recommendation
• [cs.LG]Approximate Latent Force Model Inference
• [cs.LG]Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework
• [cs.LG]Deep Learning with Kernel Flow Regularization for Time Series Forecasting
• [cs.LG]Deep Social Force
• [cs.LG]Description-based Label Attention Classifier for Explainable ICD-9 Classification
• [cs.LG]Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning
• [cs.LG]Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services
• [cs.LG]Distributed Estimation of Sparse Inverse Covariance Matrices
• [cs.LG]Edge but not Least: Cross-View Graph Pooling
• [cs.LG]GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
• [cs.LG]Holistic Semi-Supervised Approaches for EEG Representation Learning
• [cs.LG]Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience
• [cs.LG]Learning Multi-Layered GBDT Via Back Propagation
• [cs.LG]Learning to maximize global influence from local observations
• [cs.LG]Learning-Based Path Planning for Long-Range Autonomous Valet Parking
• [cs.LG]Local Intrinsic Dimensionality Signals Adversarial Perturbations
• [cs.LG]Non-Euclidean Self-Organizing Maps
• [cs.LG]Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model
• [cs.LG]Optimisation of MCTS Player for The Lord of the Rings: The Card Game
• [cs.LG]Parameter-Free Deterministic Reduction of the Estimation Bias in Continuous Control
• [cs.LG]Reduced-Lead ECG Classifier Model Trained with DivideMix and Model Ensemble
• [cs.LG]Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
• [cs.LG]Sample Efficient Model Evaluation
• [cs.LG]Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts
• [cs.NI]An algorithmic study in the vector model for Wireless Power Transfer maximization
• [cs.NI]Radiation-constrained algorithms for Wireless Energy Transfer in Ad hoc Networks
• [cs.NI]Wireless charging for weighted energy balance in populations of mobile peers
• [cs.RO]A Bayesian-Based Approach to Human Operator Intent Recognition in Remote Mobile Robot Navigation
• [cs.RO]A Brain Inspired Learning Algorithm for the Perception of a Quadrotor in Wind
• [cs.RO]A Learned Stereo Depth System for Robotic Manipulation in Homes
• [cs.RO]CLIPort: What and Where Pathways for Robotic Manipulation
• [cs.RO]Free Energy Principle for State and Input Estimation of a Quadcopter Flying in Wind
• [cs.RO]Improving Standing Balance Performance through the Assistance of a Mobile Collaborative Robot
• [cs.RO]Indoor Navigation Algorithm Based on a Smartphone Inertial Measurement Unit and Map Matching
• [cs.RO]Learning Relative Interactions through Imitation
• [cs.RO]Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
• [cs.RO]RMPs for Safe Impedance Control in Contact-Rich Manipulation
• [cs.RO]SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation
• [cs.RO]Toward Efficient and Robust Multiple Camera Visual-inertial Odometry
• [cs.RO]Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields
• [cs.SD]A data acquisition setup for data driven acoustic design
• [cs.SD]Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification
• [cs.SD]Parameterized Channel Normalization for Far-field Deep Speaker Verification
• [cs.SI]A Unified Graph-Based Approach to Disinformation Detection using Contextual and Semantic Relations
• [cs.SI]Bayesian Inference of a Social Graph with Trace Feasibility Guarantees
• [cs.SI]Community Formation and Detection on GitHub Collaboration Networks
• [cs.SI]Discrete Hyperbolic Random Graph Model
• [cs.SI]Longitudinal change in language behaviour during protests: A case study of Euromaidan in Ukraine
• [econ.EM]Treatment Effects in Market Equilibrium
• [eess.IV]Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation
• [eess.IV]Few-shot Learning Based on Multi-stage Transfer and Class-Balanced Loss for Diabetic Retinopathy Grading
• [eess.IV]ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation
• [eess.IV]Learning-based Noise Component Map Estimation for Image Denoising
• [eess.IV]Quantitative Matching of Forensic Evidence Fragments Utilizing 3D Microscopy Analysis of Fracture Surface Replicas
• [eess.SP]Distributed Deep Reinforcement Learning for Adaptive Medium Access and Modulation in Shared Spectrum
• [eess.SP]Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM
• [eess.SP]Predicting pigging operations in oil pipelines
• [eess.SP]Sequential TOA-Based Moving Target Localization in Multi-Agent Networks
• [eess.SY]A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways
• [math.NA]Adaptive Clustering-based Reduced-Order Modeling Framework: Fast and accurate modeling of localized history-dependent phenomena
• [math.NA]Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics
• [math.OC]A multiple criteria approach for constructing a pandemic impact assessment composite indicator: The case of Covid-19 in Portugal
• [math.OC]Sinkhorn Distributionally Robust Optimization
• [math.PR]Approximations of Piecewise Deterministic Markov Processes and their convergence properties
• [math.ST]Bahadur Efficiency in Tensor Curie-Weiss Models
• [math.ST]Entropic estimation of optimal transport maps
• [math.ST]On Statistical Inference with High Dimensional Sparse CCA
• [physics.chem-ph]Equivariant representations for molecular Hamiltonians and N-center atomic-scale properties
• [physics.med-ph]A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging
• [q-bio.BM]MLIMC: Machine learning-based implicit-solvent Monte Carlo
• [q-bio.NC]Towards a Governance Framework for Brain Data
• [q-bio.PE]On the parametrization of epidemiologic models — lessons from modelling COVID-19 epidemic
• [quant-ph]Theory of overparametrization in quantum neural networks
• [stat.AP]A comprehensive review of variable selection in high-dimensional regression for molecular biology
• [stat.ME]Analysis of Ordinal Populations from Judgment Post-Stratification
• [stat.ME]Correcting Conditional Mean Imputation for Censored Covariates and Improving Usability
• [stat.ME]Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
• [stat.ME]Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes
• [stat.ME]Optimization-based Causal Estimation from Heterogenous Environments
• [stat.ME]Proximal mediation analysis
• [stat.ME]Quantification of empirical determinacy: the impact of likelihood weighting on posterior location and spread in Bayesian meta-analysis estimated with JAGS and INLA
• [stat.ME]Scalable Bayesian high-dimensional local dependence learning
• [stat.ME]Sequentially valid tests for forecast calibration
• [stat.ME]Smoothing splines approximation using Hilbert curve basis selection
• [stat.ME]Towards a Paradigmatic Shift in Pre-election Polling Adequately Including Still Undecided Voters — Some Ideas Based on Set-Valued Data for the 2021 German Federal Election
• [stat.ML]A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States
• [stat.ML]Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance
• [stat.ML]Dimension Reduction for Data with Heterogeneous Missingness
• [stat.ML]Discovering PDEs from Multiple Experiments
• [stat.ML]Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones
• [stat.ML]Is the Number of Trainable Parameters All That Actually Matters?
• [stat.ML]Optimal policy evaluation using kernel-based temporal difference methods
·····································
• [astro-ph.IM]Extreme Scale Survey Simulation with Python Workflows
A. S. Villarreal, Yadu Babuji, Tom Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann
http://arxiv.org/abs/2109.12060v1
• [cs.AI]Chess AI: Competing Paradigms for Machine Intelligence
Shiva Maharaj, Nick Polson, Alex Turk
http://arxiv.org/abs/2109.11602v1
• [cs.AI]Exact Learning of Qualitative Constraint Networks from Membership Queries
Malek Mouhoub, Hamad Al Marri, Eisa Alanazi
http://arxiv.org/abs/2109.11668v1
• [cs.AI]Modeling Dynamic Attributes for Next Basket Recommendation
Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian McAuley, Caiming Xiong
http://arxiv.org/abs/2109.11654v1
• [cs.AI]Towards A Measure Of General Machine Intelligence
Gautham Venkatasubramanian, Sibesh Kar, Abhimanyu Singh, Shubham Mishra, Dushyant Yadav, Shreyansh Chandak
http://arxiv.org/abs/2109.12075v1
• [cs.AR]Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning
Rahul Bera, Konstantinos Kanellopoulos, Anant V. Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu
http://arxiv.org/abs/2109.12021v1
• [cs.CC]Punctured Large Distance Codes, and Many Reed-Solomon Codes, Achieve List-Decoding Capacity
Venkatesan Guruswami, Jonathan Mosheiff
http://arxiv.org/abs/2109.11725v1
• [cs.CL]A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification
Guang Liu, Hailong Huang, Yuzhao Mao, Weiguo Gao, Xuan Li, Jianping Shen
http://arxiv.org/abs/2109.11834v1
• [cs.CL]AES Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses
Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen
http://arxiv.org/abs/2109.11728v1
• [cs.CL]DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference
Cristóbal Eyzaguirre, Felipe del Río, Vladimir Araujo, Álvaro Soto
http://arxiv.org/abs/2109.11745v1
• [cs.CL]Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding
Zexue He, Bodhisattwa Prasad Majumder, Julian McAuley
http://arxiv.org/abs/2109.11708v1
• [cs.CL]Document Automation Architectures and Technologies: A Survey
Mohammad Ahmadi Achachlouei, Omkar Patil, Tarun Joshi, Vijayan N. Nair
http://arxiv.org/abs/2109.11603v1
• [cs.CL]Faithful Target Attribute Prediction in Neural Machine Translation
Xing Niu, Georgiana Dinu, Prashant Mathur, Anna Currey
http://arxiv.org/abs/2109.12105v1
• [cs.CL]GERNERMED — An Open German Medical NER Model
Johann Frei, Frank Kramer
http://arxiv.org/abs/2109.12104v1
• [cs.CL]How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
http://arxiv.org/abs/2109.11800v1
• [cs.CL]Indirectly Supervised English Sentence Break Prediction Using Paragraph Break Probability Estimates
Robert C. Moore
http://arxiv.org/abs/2109.12023v1
• [cs.CL]Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering
Fahim Faisal, Antonios Anastasopoulos
http://arxiv.org/abs/2109.12028v1
• [cs.CL]Lacking the embedding of a word? Look it up into a traditional dictionary
Elena Sofia Ruzzetti, Leonardo Ranaldi, Michele Mastromattei, Francesca Fallucchi, Fabio Massimo Zanzotto
http://arxiv.org/abs/2109.11763v1
• [cs.CL]Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus
Daniela Trotta, Raffaele Guarasci, Elisa Leonardelli, Sara Tonelli
http://arxiv.org/abs/2109.12053v1
• [cs.CL]Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
Lingyong Yan, Xianpei Han, Le Sun
http://arxiv.org/abs/2109.12082v1
• [cs.CL]Rethinking Crowd Sourcing for Semantic Similarity
Shaul Solomon, Adam Cohn, Hernan Rosenblum, Chezi Hershkovitz, Ivan P. Yamshchikov
http://arxiv.org/abs/2109.11969v1
• [cs.CL]Revisiting the Uniform Information Density Hypothesis
Clara Meister, Tiago Pimentel, Patrick Haller, Lena Jäger, Ryan Cotterell, Roger Levy
http://arxiv.org/abs/2109.11635v1
• [cs.CL]Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text
Jekaterina Novikova
http://arxiv.org/abs/2109.11888v1
• [cs.CL]SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
http://arxiv.org/abs/2109.12093v1
• [cs.CL]SD-QA: Spoken Dialectal Question Answering for the Real World
Fahim Faisal, Sharlina Keshava, Md Mahfuz ibn Alam, Antonios Anastasopoulos
http://arxiv.org/abs/2109.12072v1
• [cs.CL]Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
http://arxiv.org/abs/2109.12008v1
• [cs.CL]Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
Qiantong Xu, Alexei Baevski, Michael Auli
http://arxiv.org/abs/2109.11680v1
• [cs.CL]Text-based NP Enrichment
Yanai Elazar, Victoria Basmov, Yoav Goldberg, Reut Tsarfaty
http://arxiv.org/abs/2109.12085v1
• [cs.CL]Transformers Generalize Linearly
Jackson Petty, Robert Frank
http://arxiv.org/abs/2109.12036v1
• [cs.CL]Unsupervised Translation of German—Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
Lukas Edman, Ahmet Üstün, Antonio Toral, Gertjan van Noord
http://arxiv.org/abs/2109.12012v1
• [cs.CL]iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan
http://arxiv.org/abs/2109.11621v1
• [cs.CR]MORSE-STF: A Privacy Preserving Computation System
Qizhi Zhang, Yuan Zhao, Lichun Li, JiaoFu Zhang, Qichao Zhang, Yashun Zhou, Dong Yin, Sijun Tan, Shan Yin
http://arxiv.org/abs/2109.11726v1
• [cs.CR]Privacy-Preserving Social Distancing Bracelet
Asaad AlGhamdi, Louai Al-Awami
http://arxiv.org/abs/2109.11910v1
• [cs.CR]The More, the Better? A Study on Collaborative Machine Learning for DGA Detection
Arthur Drichel, Benedikt Holmes, Justus von Brandt, Ulrike Meyer
http://arxiv.org/abs/2109.11830v1
• [cs.CV]CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun
http://arxiv.org/abs/2109.11797v1
• [cs.CV]Catadioptric Stereo on a Smartphone
Kristijan Bartol, David Bojanić, Tomislav Petković, Tomislav Pribanić
http://arxiv.org/abs/2109.11872v1
• [cs.CV]DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning
Tongan Cai, Haomiao Ni, Mingli Yu, Xiaolei Huang, Kelvin Wong, John Volpi, James Z. Wang, Stephen T. C. Wong
http://arxiv.org/abs/2109.12065v1
• [cs.CV]Dense Contrastive Visual-Linguistic Pretraining
Lei Shi, Kai Shuang, Shijie Geng, Peng Gao, Zuohui Fu, Gerard de Melo, Yunpeng Chen, Sen Su
http://arxiv.org/abs/2109.11778v1
• [cs.CV]Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial Network
Md Aminul Haque Palash, Md Abdullah Al Nasim, Aditi Dhali, Faria Afrin
http://arxiv.org/abs/2109.11749v1
• [cs.CV]Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
Zhendong Zhang
http://arxiv.org/abs/2109.11839v1
• [cs.CV]From images in the wild to video-informed image classification
Marc Böhlen, Varun Chandola, Wawan Sujarwo, Raunaq Jain
http://arxiv.org/abs/2109.12040v1
• [cs.CV]GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds
Min Zhang, Pranav Kadam, Shan Liu, C. -C. Jay Kuo
http://arxiv.org/abs/2109.11835v1
• [cs.CV]How to find a good image-text embedding for remote sensing visual question answering?
Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia
http://arxiv.org/abs/2109.11848v1
• [cs.CV]Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images
Tarek Ben Charrada, Hedi Tabia, Aladine Chetouani, Hamid Laga
http://arxiv.org/abs/2109.11844v1
• [cs.CV]Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild
Pau Riba, Sounak Dey, Ali Furkan Biten, Josep Llados
http://arxiv.org/abs/2109.11874v1
• [cs.CV]MODNet-V: Improving Portrait Video Matting via Background Restoration
Jiayu Sun, Zhanghan Ke, Lihe Zhang, Huchuan Lu, Rynson W. H. Lau
http://arxiv.org/abs/2109.11818v1
• [cs.CV]Multi-View Video-Based 3D Hand Pose Estimation
Leyla Khaleghi, Alireza Sepas Moghaddam, Joshua Marshall, Ali Etemad
http://arxiv.org/abs/2109.11747v1
• [cs.CV]Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems
Dan Li, Shuai Wang, Jie Zou, Chang Tian, Elisha Nieuwburg, Fengyuan Sun, Evangelos Kanoulas
http://arxiv.org/abs/2109.11682v1
• [cs.CV]Quantifying point cloud realism through adversarially learned latent representations
Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner
http://arxiv.org/abs/2109.11775v1
• [cs.CV]RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection
Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Xiujuan Zhang
http://arxiv.org/abs/2109.11906v1
• [cs.CV]Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification
Aishwarya Venkataramanan, Martin Laviale, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier
http://arxiv.org/abs/2109.11891v1
• [cs.CV]Training dataset generation for bridge game registration
Piotr Wzorek, Tomasz Kryjak
http://arxiv.org/abs/2109.11861v1
• [cs.CV]Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans
Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko
http://arxiv.org/abs/2109.11941v1
• [cs.CV]Unaligned Image-to-Image Translation by Learning to Reweight
Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang
http://arxiv.org/abs/2109.11736v1
• [cs.CV]Visual Scene Graphs for Audio Source Separation
Moitreya Chatterjee, Jonathan Le Roux, Narendra Ahuja, Anoop Cherian
http://arxiv.org/abs/2109.11955v1
• [cs.CV]ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation
Johnathan Xie, Shuai Zheng
http://arxiv.org/abs/2109.12066v1
• [cs.CY]Factors influencing Drug Consumption and Prediction Methods
Denis Koala, Zakaria Yahouni, Gülgün Alpan, Yannick Frein
http://arxiv.org/abs/2109.11779v1
• [cs.DC]Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models
William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna
http://arxiv.org/abs/2109.11762v1
• [cs.DC]Formal Verification of a Distributed Dynamic Reconfiguration Protocol
William Schultz, Ian Dardik, Stavros Tripakis
http://arxiv.org/abs/2109.11987v1
• [cs.DC]Paving the Way for Distributed ArtificialIntelligence over the Air
Guoqing Ma, Shuping Dang, Chuanting Zhang, Basem Shihada
http://arxiv.org/abs/2109.11774v1
• [cs.DC]The Max-Line-Formation Problem
Jannik Castenow, Thorsten Götte, Till Knollmann, Friedhelm Meyer auf der Heide
http://arxiv.org/abs/2109.11856v1
• [cs.DC]User-Defined Functions for HDF5
Lucas C. Villa Real, Maximilien de Bayser
http://arxiv.org/abs/2109.11709v1
• [cs.DS]The Mirror Langevin Algorithm Converges with Vanishing Bias
Ruilin Li, Molei Tao, Santosh S. Vempala, Andre Wibisono
http://arxiv.org/abs/2109.12077v1
• [cs.HC]Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability
Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow, Eva-Maria Herbst
http://arxiv.org/abs/2109.11849v1
• [cs.IR]Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
http://arxiv.org/abs/2109.11898v1
• [cs.IR]Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation
Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang
http://arxiv.org/abs/2109.11790v1
• [cs.IR]Multi-behavior Graph Contextual Aware Network for Session-based Recommendation
Qi Shen, Lingfei Wu, Yitong Pang, Yiming Zhang, Zhihua Wei, Fangli Xu, Bo Long
http://arxiv.org/abs/2109.11903v1
• [cs.IT]A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation
Anindya Bijoy Das, Aditya Ramamoorthy
http://arxiv.org/abs/2109.12070v1
• [cs.IT]Estimating Rényi’s -Cross-Entropies in a Matrix-Based Way
Isaac J. Sledge, Jose C. Principe
http://arxiv.org/abs/2109.11737v1
• [cs.IT]Graph-based Approximate Message Passing Iterations
Cédric Gerbelot, Raphaël Berthier
http://arxiv.org/abs/2109.11905v1
• [cs.IT]Modeling and Measurements for Multi-path Mitigation with Reconfigurable Intelligent Surfaces
Ruya Zhou, Xiangyu Chen, Wankai Tang, Xiao Li, Shi Jin, Ertugrul Basar, Qiang Cheng, Tie Jun Cui
http://arxiv.org/abs/2109.11820v1
• [cs.IT]OTFS Without CP in Massive MIMO: Breaking Doppler Limitations with TR-MRC and Windowing
Danilo Lelin Li, Arman Farhang
http://arxiv.org/abs/2109.11899v1
• [cs.IT]Performance Improvement of Dimmable OFDM-Visible Light Communication using Subcarrier Index Modulation and Reed Solomon Encoding
Nima Taherkhani, Kamran Kiasaleh
http://arxiv.org/abs/2109.11667v1
• [cs.IT]Sparse multi-reference alignment: sample complexity and computational hardness
Tamir Bendory, Oscar Mickelin, Amit Singer
http://arxiv.org/abs/2109.11656v1
• [cs.LG]A Generative Federated Learning Framework for Differential Privacy
Eugenio Lomurno, Leonardo Di Perna, Lorenzo Cazzella, Stefano Samele, Matteo Matteucci
http://arxiv.org/abs/2109.12062v1
• [cs.LG]A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems
Xian Yeow Lee, Soumik Sarkar, Yubo Wang
http://arxiv.org/abs/2109.12073v1
• [cs.LG]A dynamic programming algorithm for informative measurements and near-optimal path-planning
Peter N. Loxley, Ka Wai Cheung
http://arxiv.org/abs/2109.11808v1
• [cs.LG]Adversarial Neural Trip Recommendation
Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Jizhou Huang, Hui Xiong
http://arxiv.org/abs/2109.11731v1
• [cs.LG]Approximate Latent Force Model Inference
Jacob Moss, Felix Opolka, Bianca Dumitrascu, Pietro Lió
http://arxiv.org/abs/2109.11851v1
• [cs.LG]Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework
Chen Gong, Qiang He, Yunpeng Bai, Xiaoyu Chen, Xinwen Hou, Yu Liu, Guoliang Fan
http://arxiv.org/abs/2109.11867v1
• [cs.LG]Deep Learning with Kernel Flow Regularization for Time Series Forecasting
Mahdy Shirdel, Reza Asadi, Duc Do, Micheal Hintlian
http://arxiv.org/abs/2109.11649v1
• [cs.LG]Deep Social Force
Sven Kreiss
http://arxiv.org/abs/2109.12081v1
• [cs.LG]Description-based Label Attention Classifier for Explainable ICD-9 Classification
Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp
http://arxiv.org/abs/2109.12026v1
• [cs.LG]Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning
Carlo Alfano, Patrick Rebeschini
http://arxiv.org/abs/2109.11692v1
• [cs.LG]Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services
Charl Maree, Christian W. Omlin
http://arxiv.org/abs/2109.11871v1
• [cs.LG]Distributed Estimation of Sparse Inverse Covariance Matrices
Tong Yao, Shreyas Sundaram
http://arxiv.org/abs/2109.12020v1
• [cs.LG]Edge but not Least: Cross-View Graph Pooling
Xiaowei Zhou, Jie Yin, Ivor W. Tsang
http://arxiv.org/abs/2109.11796v1
• [cs.LG]GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong
http://arxiv.org/abs/2109.11730v1
• [cs.LG]Holistic Semi-Supervised Approaches for EEG Representation Learning
Guangyi Zhang, Ali Etemad
http://arxiv.org/abs/2109.11732v1
• [cs.LG]Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience
Chayan Banerjee, Zhiyong Chen, Nasimul Noman
http://arxiv.org/abs/2109.11767v1
• [cs.LG]Learning Multi-Layered GBDT Via Back Propagation
Zhendong Zhang
http://arxiv.org/abs/2109.11863v1
• [cs.LG]Learning to maximize global influence from local observations
Gábor Lugosi, Gergely Neu, Julia Olkhovskaya
http://arxiv.org/abs/2109.11909v1
• [cs.LG]Learning-Based Path Planning for Long-Range Autonomous Valet Parking
Muhammad Khalid, Liang Wang, Kezhi Wang, Cunhua Pan, Nauman Aslam, Yue Cao
http://arxiv.org/abs/2109.11661v1
• [cs.LG]Local Intrinsic Dimensionality Signals Adversarial Perturbations
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
http://arxiv.org/abs/2109.11803v1
• [cs.LG]Non-Euclidean Self-Organizing Maps
Dorota Celińska-Kopczyńska Eryk Kopczyński
http://arxiv.org/abs/2109.11769v1
• [cs.LG]Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model
Zhanhong Yang, Satoshi Masuda, Michiaki Tatsubori
http://arxiv.org/abs/2109.11720v1
• [cs.LG]Optimisation of MCTS Player for The Lord of the Rings: The Card Game
Konrad Godlewski, Bartosz Sawicki
http://arxiv.org/abs/2109.12001v1
• [cs.LG]Parameter-Free Deterministic Reduction of the Estimation Bias in Continuous Control
Baturay Saglam, Enes Duran, Dogan C. Cicek, Furkan B. Mutlu, Suleyman S. Kozat
http://arxiv.org/abs/2109.11788v1
• [cs.LG]Reduced-Lead ECG Classifier Model Trained with DivideMix and Model Ensemble
Hiroshi Seki, Takashi Nakano, Koshiro Ikeda, Shinji Hirooka, Takaaki Kawasaki, Mitsutomo Yamada, Shumpei Saito, Toshitaka Yamakawa, Shimpei Ogawa
http://arxiv.org/abs/2109.12063v1
• [cs.LG]Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
Aviv Tamar, Daniel Soudry, Ev Zisselman
http://arxiv.org/abs/2109.11792v1
• [cs.LG]Sample Efficient Model Evaluation
Emine Yilmaz, Peter Hayes, Raza Habib, Jordan Burgess, David Barber
http://arxiv.org/abs/2109.12043v1
• [cs.LG]Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts
Wouter Kool, Chris J. Maddison, Andriy Mnih
http://arxiv.org/abs/2109.11817v1
• [cs.NI]An algorithmic study in the vector model for Wireless Power Transfer maximization
Ioannis Katsidimas, Sotiris Nikoletseas, Theofanis P. Raptis, Christoforos Raptopoulos
http://arxiv.org/abs/2109.11791v1
• [cs.NI]Radiation-constrained algorithms for Wireless Energy Transfer in Ad hoc Networks
Sotiris Nikoletseas, Theofanis P. Raptis, Christoforos Raptopoulos
http://arxiv.org/abs/2109.11777v1
• [cs.NI]Wireless charging for weighted energy balance in populations of mobile peers
Sotiris Nikoletseas, Theofanis P. Raptis, Christoforos Raptopoulos
http://arxiv.org/abs/2109.11787v1
• [cs.RO]A Bayesian-Based Approach to Human Operator Intent Recognition in Remote Mobile Robot Navigation
Dimitris Panagopoulos, Giannis Petousakis, Rustam Stolkin, Grigoris Nikolaou, Manolis Chiou
http://arxiv.org/abs/2109.12045v1
• [cs.RO]A Brain Inspired Learning Algorithm for the Perception of a Quadrotor in Wind
Ajith Anil Meera, Martijn Wisse
http://arxiv.org/abs/2109.11971v1
• [cs.RO]A Learned Stereo Depth System for Robotic Manipulation in Homes
Krishna Shankar, Mark Tjersland, Jeremy Ma, Kevin Stone, Max Bajracharya
http://arxiv.org/abs/2109.11644v1
• [cs.RO]CLIPort: What and Where Pathways for Robotic Manipulation
Mohit Shridhar, Lucas Manuelli, Dieter Fox
http://arxiv.org/abs/2109.12098v1
• [cs.RO]Free Energy Principle for State and Input Estimation of a Quadcopter Flying in Wind
Fred Bos, Ajith Anil Meera, Dennis Benders, Martijn Wisse
http://arxiv.org/abs/2109.12052v1
• [cs.RO]Improving Standing Balance Performance through the Assistance of a Mobile Collaborative Robot
Francisco J. Ruiz-Ruiz, Alberto Giammarino, Marta Lorenzini, Juan M. Gandarias, Jesus M. Gomez-de-Gabriel, Arash Ajoudani
http://arxiv.org/abs/2109.12038v1
• [cs.RO]Indoor Navigation Algorithm Based on a Smartphone Inertial Measurement Unit and Map Matching
Taewon Kang, Younghoon Shin
http://arxiv.org/abs/2109.11706v1
• [cs.RO]Learning Relative Interactions through Imitation
Giorgia Adorni, Elia Cereda
http://arxiv.org/abs/2109.12013v1
• [cs.RO]Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter
http://arxiv.org/abs/2109.11978v1
• [cs.RO]RMPs for Safe Impedance Control in Contact-Rich Manipulation
Seiji Shaw, Ben Abbatematteo, George Konidaris
http://arxiv.org/abs/2109.12103v1
• [cs.RO]SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation
Theo Jaunet, Guillaume Bono, Romain Vuillemot, Christian Wolf
http://arxiv.org/abs/2109.11801v1
• [cs.RO]Toward Efficient and Robust Multiple Camera Visual-inertial Odometry
Yao He, Huai Yu, Wen Yang, Sebastian Scherer
http://arxiv.org/abs/2109.12030v1
• [cs.RO]Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields
Alireza Ahmadi, Michael Halstead, Chris McCool
http://arxiv.org/abs/2109.11936v1
• [cs.SD]A data acquisition setup for data driven acoustic design
Romana Rust, Achilleas Xydis, Kurt Heutschi, Nathanaël Perraudin, Gonzalo Casas, Chaoyu Du, Jürgen Strauss, Kurt Eggenschwiler, Fernando Perez-Cruz, Fabio Gramazio, Matthias Kohler
http://arxiv.org/abs/2109.12014v1
• [cs.SD]Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification
Xuechen Liu, Md Sahidullah, Tomi Kinnunen
http://arxiv.org/abs/2109.12058v1
• [cs.SD]Parameterized Channel Normalization for Far-field Deep Speaker Verification
Xuechen Liu, Md Sahidullah, Tomi Kinnunen
http://arxiv.org/abs/2109.12056v1
• [cs.SI]A Unified Graph-Based Approach to Disinformation Detection using Contextual and Semantic Relations
Marius Paraschiv, Nikos Salamanos, Costas Iordanou, Nikolaos Laoutaris, Michael Sirivianos
http://arxiv.org/abs/2109.11781v1
• [cs.SI]Bayesian Inference of a Social Graph with Trace Feasibility Guarantees
Effrosyni Papanastasiou, Anastasios Giovanidis
http://arxiv.org/abs/2109.11642v1
• [cs.SI]Community Formation and Detection on GitHub Collaboration Networks
Behnaz Moradi-Jamei, Brandon L. Kramer, J. Bayoan Santiago Calderon, Gizem Korkmaz
http://arxiv.org/abs/2109.11587v1
• [cs.SI]Discrete Hyperbolic Random Graph Model
Dorota Celińska-Kopczyńska, Eryk Kopczyński
http://arxiv.org/abs/2109.11772v1
• [cs.SI]Longitudinal change in language behaviour during protests: A case study of Euromaidan in Ukraine
Ivan Slobozhan, Tymofii Brik, Rajesh Sharma
http://arxiv.org/abs/2109.11623v1
• [econ.EM]Treatment Effects in Market Equilibrium
Evan Munro, Stefan Wager, Kuang Xu
http://arxiv.org/abs/2109.11647v1
• [eess.IV]Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation
Mert Asim Karaoglu, Nikolas Brasch, Marijn Stollenga, Wolfgang Wein, Nassir Navab, Federico Tombari, Alexander Ladikos
http://arxiv.org/abs/2109.11798v1
• [eess.IV]Few-shot Learning Based on Multi-stage Transfer and Class-Balanced Loss for Diabetic Retinopathy Grading
Lei Shi, Junxing Zhang
http://arxiv.org/abs/2109.11806v1
• [eess.IV]ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation
Pak-Hei Yeung, Linde Hesse, Moska Aliasi, Monique Haak, the INTERGROWTH-21st Consortium, Weidi Xie, Ana I. L. Namburete
http://arxiv.org/abs/2109.12108v1
• [eess.IV]Learning-based Noise Component Map Estimation for Image Denoising
Sheyda Ghanbaralizadeh Bahnemiri, Mykola Ponomarenko, Karen Egiazarian
http://arxiv.org/abs/2109.11877v1
• [eess.IV]Quantitative Matching of Forensic Evidence Fragments Utilizing 3D Microscopy Analysis of Fracture Surface Replicas
Bishoy Dawood, Carlos Llosa-Vite, Geoffrey Z. Thompson, Barbara K. Lograsso, Lauren K. Claytor, John Vanderkolk, William Meeker, Ranjan Maitra, Ashraf Bastawros
http://arxiv.org/abs/2109.11972v1
• [eess.SP]Distributed Deep Reinforcement Learning for Adaptive Medium Access and Modulation in Shared Spectrum
Akash Doshi, Jeffrey G. Andrews
http://arxiv.org/abs/2109.11723v1
• [eess.SP]Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM
Mingyang Zhang, Jie Jia, Jian Chen
http://arxiv.org/abs/2109.11750v1
• [eess.SP]Predicting pigging operations in oil pipelines
Riccardo Angelo Giro, Giancarlo Bernasconi, Giuseppe Giunta, Simone Cesari
http://arxiv.org/abs/2109.11812v1
• [eess.SP]Sequential TOA-Based Moving Target Localization in Multi-Agent Networks
Qin Shi, Xiaowei Cui, Sihao Zhao, Mingquan Lu
http://arxiv.org/abs/2109.12027v1
• [eess.SY]A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways
Sai Krishna Sumanth Nakka, Behdad Chalaki, Andreas Malikopoulos
http://arxiv.org/abs/2109.11672v1
• [math.NA]Adaptive Clustering-based Reduced-Order Modeling Framework: Fast and accurate modeling of localized history-dependent phenomena
Bernardo P. Ferreira, F. M. Andrade Pires, Miguel A. Bessa
http://arxiv.org/abs/2109.11897v1
• [math.NA]Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics
Rüdiger Frey, Verena Köck
http://arxiv.org/abs/2109.11403v2
• [math.OC]A multiple criteria approach for constructing a pandemic impact assessment composite indicator: The case of Covid-19 in Portugal
José Rui Figueira, Henrique M. Oliveira, Ana Paula Serro, Rogério Colaço, Filipe Froes, Carlos Robalo Cordeiro, António Diniz, Miguel Guimarães
http://arxiv.org/abs/2109.11828v1
• [math.OC]Sinkhorn Distributionally Robust Optimization
Jie Wang, Rui Gao, Yao Xie
http://arxiv.org/abs/2109.11926v1
• [math.PR]Approximations of Piecewise Deterministic Markov Processes and their convergence properties
Andrea Bertazzi, Joris Bierkens, Paul Dobson
http://arxiv.org/abs/2109.11827v1
• [math.ST]Bahadur Efficiency in Tensor Curie-Weiss Models
Somabha Mukherjee, Swarnadip Ghosh, Jaesung Son, Sourav Mukherjee
http://arxiv.org/abs/2109.11764v1
• [math.ST]Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian, Jonathan Niles-Weed
http://arxiv.org/abs/2109.12004v1
• [math.ST]On Statistical Inference with High Dimensional Sparse CCA
Nilanjana Laha, Nathan Huey, Brent Coull, Rajarshi Mukherjee
http://arxiv.org/abs/2109.11997v1
• [physics.chem-ph]Equivariant representations for molecular Hamiltonians and N-center atomic-scale properties
Jigyasa Nigam, Michael Willatt, Michele Ceriotti
http://arxiv.org/abs/2109.12083v1
• [physics.med-ph]A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging
Loizos Koutsantonis, Ayman Makki, Tiago Carneiro, Emmanuel Kieffer, Pascal Bouvry
http://arxiv.org/abs/2109.11920v1
• [q-bio.BM]MLIMC: Machine learning-based implicit-solvent Monte Carlo
Jiahui Chen, Weihua Geng, Guo-Wei Wei
http://arxiv.org/abs/2109.12100v1
• [q-bio.NC]Towards a Governance Framework for Brain Data
Marcello Ienca, Joseph J. Fins, Ralf J. Jox, Fabrice Jotterand, Silja Voeneky, Roberto Andorno, Tonio Ball, Claude Castelluccia, Ricardo Chavarriaga, Hervé Chneiweiss, Agata Ferretti, Orsolya Friedrich, Samia Hurst, Grischa Merkel, Fruzsina Molnar-Gabor, Jean-Marc Rickli, James Scheibner, Effy Vayena, Rafael Yuste Philipp Kellmeyer
http://arxiv.org/abs/2109.11960v1
• [q-bio.PE]On the parametrization of epidemiologic models — lessons from modelling COVID-19 epidemic
Yuri Kheifetz, Holger Kirsten, Markus Scholz
http://arxiv.org/abs/2109.11916v1
• [quant-ph]Theory of overparametrization in quantum neural networks
Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, M. Cerezo
http://arxiv.org/abs/2109.11676v1
• [stat.AP]A comprehensive review of variable selection in high-dimensional regression for molecular biology
Perrine Lacroix, Mélina Gallopin, Marie-Laure Martin
http://arxiv.org/abs/2109.12006v1
• [stat.ME]Analysis of Ordinal Populations from Judgment Post-Stratification
Amirhossein Alvandi, Armin Hatefi
http://arxiv.org/abs/2109.11717v1
• [stat.ME]Correcting Conditional Mean Imputation for Censored Covariates and Improving Usability
Sarah C. Lotspeich, Kyle F. Grosser, Tanya P. Garcia
http://arxiv.org/abs/2109.11989v1
• [stat.ME]Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
Yuqi Gu, Elena A. Erosheva, Gongjun Xu, David B. Dunson
http://arxiv.org/abs/2109.11705v1
• [stat.ME]Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes
Xu Wang, Ali Shojaie
http://arxiv.org/abs/2109.11634v1
• [stat.ME]Optimization-based Causal Estimation from Heterogenous Environments
Mingzhang Yin, Yixin Wang, David M. Blei
http://arxiv.org/abs/2109.11990v1
• [stat.ME]Proximal mediation analysis
Oliver Dukes, Ilya Shpitser, Eric J. Tchetgen Tchetgen
http://arxiv.org/abs/2109.11904v1
• [stat.ME]Quantification of empirical determinacy: the impact of likelihood weighting on posterior location and spread in Bayesian meta-analysis estimated with JAGS and INLA
Sona Hunanyan, Håvard Rue, Martyn Plummer, Małgorzata Roos
http://arxiv.org/abs/2109.11870v1
• [stat.ME]Scalable Bayesian high-dimensional local dependence learning
Kyoungjae Lee, Lizhen Lin
http://arxiv.org/abs/2109.11795v1
• [stat.ME]Sequentially valid tests for forecast calibration
Sebastian Arnold, Alexander Henzi, Johanna F. Ziegel
http://arxiv.org/abs/2109.11761v1
• [stat.ME]Smoothing splines approximation using Hilbert curve basis selection
Cheng Meng, Jun Yu, Yongkai Chen, Wenxuan Zhong, Ping Ma
http://arxiv.org/abs/2109.11727v1
• [stat.ME]Towards a Paradigmatic Shift in Pre-election Polling Adequately Including Still Undecided Voters — Some Ideas Based on Set-Valued Data for the 2021 German Federal Election
Dominik Kreiss, Thomas Augustin
http://arxiv.org/abs/2109.12069v1
• [stat.ML]A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States
Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh
http://arxiv.org/abs/2109.12094v1
• [stat.ML]Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance
Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira
http://arxiv.org/abs/2109.12042v1
• [stat.ML]Dimension Reduction for Data with Heterogeneous Missingness
Yurong Ling, Zijing Liu, Jing-Hao Xue
http://arxiv.org/abs/2109.11765v1
• [stat.ML]Discovering PDEs from Multiple Experiments
Georges Tod, Gert-Jan Both, Remy Kusters
http://arxiv.org/abs/2109.11939v1
• [stat.ML]Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones
Trey McNeely, Galen Vincent, Rafael Izbicki, Kimberly M. Wood, Ann B. Lee
http://arxiv.org/abs/2109.12029v1
• [stat.ML]Is the Number of Trainable Parameters All That Actually Matters?
Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay, Iacopo Poli
http://arxiv.org/abs/2109.11928v1
• [stat.ML]Optimal policy evaluation using kernel-based temporal difference methods
Yaqi Duan, Mengdi Wang, Martin J. Wainwright
http://arxiv.org/abs/2109.12002v1
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