astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 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.NE - 神经与进化计算 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 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.ST - 统计理论 physics.optics - 光学 q-bio.BM - 生物分子 q-bio.QM - 定量方法 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]Real-Time Likelihood-free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation
• [cs.AI]A Metamodel and Framework for Artificial General Intelligence From Theory to Practice
• [cs.AI]Proof Artifact Co-training for Theorem Proving with Language Models
• [cs.AI]Sufficiently Accurate Model Learning for Planning
• [cs.CE]Brain Modelling as a Service: The Virtual Brain on EBRAINS
• [cs.CL]An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
• [cs.CL]Customizing Contextualized Language Models forLegal Document Reviews
• [cs.CL]Differentiable Generative Phonology
• [cs.CL]Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
• [cs.CL]Generating Coherent and Diverse Slogans with Sequence-to-Sequence Transformer
• [cs.CL]Sequential Sentence Classification in Research Papers using Cross-Domain Multi-Task Learning
• [cs.CL]Text Compression-aided Transformer Encoding
• [cs.CV]A Topological Approach for Motion Track Discrimination
• [cs.CV]A fully automated method for 3D individual tooth identification and segmentation in dental CBCT
• [cs.CV]A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering
• [cs.CV]ABOShips — An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations
• [cs.CV]AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognit
808
ion
• [cs.CV]Adversarial Segmentation Loss for Sketch Colorization
• [cs.CV]Adversarially robust deepfake media detection using fused convolutional neural network predictions
• [cs.CV]Audiovisual Highlight Detection in Videos
• [cs.CV]Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches
• [cs.CV]Deep Photo Scan: Semi-supervised learning for dealing with the real-world degradation in smartphone photo scanning
• [cs.CV]Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification
• [cs.CV]Explainability in CNN Models By Means of Z-Scores
• [cs.CV]Frame Difference-Based Temporal Loss for Video Stylization
• [cs.CV]High-Performance Large-Scale Image Recognition Without Normalization
• [cs.CV]HyperPocket: Generative Point Cloud Completion
• [cs.CV]L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
• [cs.CV]Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling
• [cs.CV]Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
• [cs.CV]Neural Re-rendering for Full-frame Video Stabilization
• [cs.CV]SWAGAN: A Style-based Wavelet-driven Generative Model
• [cs.CV]Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels
• [cs.CV]Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
• [cs.CV]Shelf-Supervised Mesh Prediction in the Wild
• [cs.CV]The Barrier of meaning in archaeological data science
• [cs.CV]UAV Localization Using Autoencoded Satellite Images
• [cs.CV]Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
• [cs.CV]ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media
• [cs.CY]An electric vehicle charging station access equilibrium model with M/D/C queueing
• [cs.CY]The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media
• [cs.DC]A Continuized View on Nesterov Acceleration
• [cs.DC]Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs
• [cs.DC]Effectively Testing System Configurations of Critical IoT Analytics Pipelines
• [cs.DC]Temporal Parallelization of Inference in Hidden Markov Models
• [cs.DC]Terminating grid exploration with myopic luminous robots
• [cs.DL]Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies
• [cs.DS]Runtime Analysis of RLS and the (1+1) EA for the Chance-constrained Knapsack Problem with Correlated Uniform Weights
• [cs.GR]Neural BRDF Representation and Importance Sampling
• [cs.GT]A Logic for Conditional Local Strategic Reasoning
• [cs.HC]A Survey on Synchronous Augmented, Virtual and Mixed Reality Remote Collaboration Systems
• [cs.HC]Artificial intelligence in communication impacts language and social relationships
• [cs.IR]An Affective Aware Pseudo Association Method to Connect Disjoint Users Across Multiple Datasets — An Enhanced Validation Method for Text-based Emotion Aware Recommender
• [cs.IR]Auctus: A Dataset Search Engine for Data Augmentation
• [cs.IR]ELSKE: Efficient Large-Scale Keyphrase Extraction
• [cs.IR]Information Extraction From Co-Occurring Similar Entities
• [cs.IR]Personalized Embedding-based e-Commerce Recommendations at eBay
• [cs.IT]Fisher Information and Mutual Information Constraints
• [cs.IT]Learning under Distribution Mismatch and Model Misspecification
• [cs.IT]Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls
• [cs.IT]Near-field Tracking with Large Antenna Arrays: Fundamental Limits and Practical Algorithms
• [cs.IT]On the Performance of the Primary and Secondary Links in a 3-D Underlay Cognitive Molecular Communication
• [cs.IT]Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels
• [cs.IT]Rate-Splitting Multiple Access for Multigateway Multibeam Satellite Systems with Feeder Link Interference
• [cs.LG]Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
• [cs.LG]Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors
• [cs.LG]An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids
• [cs.LG]Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems
• [cs.LG]AutoScore: An Automated Warning Score Model for the Early Prediction of Clinical Events
• [cs.LG]Causal Inference for Time series Analysis: Problems, Methods and Evaluation
• [cs.LG]Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
• [cs.LG]Defense Against Reward Poisoning Attacks in Reinforcement Learning
• [cs.LG]Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy
• [cs.LG]Derivative-Free Reinforcement Learning: A Review
• [cs.LG]Development of Crop Yield Estimation Model using Soil and Environmental Parameters
• [cs.LG]Differentiable Implicit Soft-Body Physics
• [cs.LG]Disentangled Representations from Non-Disentangled Models
• [cs.LG]Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
• [cs.LG]Early Performance Prediction using Interpretable Patterns in Programming Process Data
• [cs.LG]Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub
• [cs.LG]EvoSplit: An evolutionary approach to split a multi-label data set into disjoint subset
• [cs.LG]Fairness Through Regularization for Learning to Rank
• [cs.LG]Fairness-Aware Learning from Corrupted Data
• [cs.LG]Feature Selection for Multivariate Time Series via Network Pruning
• [cs.LG]Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks
• [cs.LG]Meta-Thompson Sampling
• [cs.LG]Multi-Task Reinforcement Learning with Context-based Representations
• [cs.LG]Novel Techniques to Assess Predictive Systems and Reduce Their Alarm Burden
• [cs.LG]On Deep Learning with Label Differential Privacy
• [cs.LG]Online Deterministic Annealing for Classification and Clustering
• [cs.LG]OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking
• [cs.LG]Partially Observed Exchangeable Modeling
• [cs.LG]PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification
• [cs.LG]Predicting Clinical Deterioration in Hospitals
• [cs.LG]Predicting Customer Lifetime Values — ecommerce use case
• [cs.LG]Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data
• [cs.LG]Private Prediction Sets
• [cs.LG]Quadric hypersurface intersection for manifold learning in feature space
• [cs.LG]Representation Matters: Offline Pretraining for Sequential Decision Making
• [cs.LG]Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning
• [cs.LG]Risk-Averse Bayes-Adaptive Reinforcement Learning
• [cs.LG]Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank
• [cs.LG]Robust Policy Gradient against Strong Data Corruption
• [cs.LG]SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing
• [cs.LG]Self-supervised learning for fast and scalable time series hyper-parameter tuning
• [cs.LG]SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
• [cs.LG]Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets
• [cs.LG]Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model
• [cs.LG]Testing Framework for Black-box AI Models
• [cs.LG]The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms
• [cs.LG]Uncertainty Propagation in Convolutional Neural Networks: Technical Report
• [cs.NE]Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems
• [cs.NE]Searching for Designs in-between
• [cs.RO]Data-Driven MPC for Quadrotors
• [cs.RO]Search Planning of a UAV/UGV Team with Localization Uncertainty in a Subterranean Environment
• [cs.RO]Speeding up Routing Schedules on Aisle-Graphs with Single Access
• [cs.RO]Toward Safe and Efficient Human-Robot Interaction via Behavior-Driven Danger Signaling
• [cs.RO]Transfer Reinforcement Learning across Homotopy Classes
• [cs.RO]VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments
• [cs.SD]A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
• [cs.SD]CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions
• [cs.SD]Language Independent Emotion Quantification using Non linear Modelling of Speech
• [cs.SD]Self-Supervised VQ-VAE For One-Shot Music Style Transfer
• [cs.SD]Speech enhancement with mixture-of-deep-experts with clean clustering pre-training
• [cs.SE]DirectDebug: Automated Testing and Debugging of Feature Models
• [cs.SE]Using Machine Intelligence to Prioritise Code Review Requests
• [cs.SI]Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach
• [eess.IV]COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
• [eess.IV]Learning local regularization for variational image restoration
• [eess.IV]Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features
• [eess.SP]Millimeter Wave MIMO based Depth Maps for Wireless Virtual and Augmented Reality
• [eess.SY]A Geometric Nonlinear Stochastic Filter for Simultaneous Localization and Mapping
• [eess.SY]Optimal adaptive inspection and maintenance planning for deteriorating structural systems
• [math.NA]Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinous Galerkin and Virtual Element methods
• [math.OC]Diffusion of new products with heterogeneous consumers
• [math.OC]Faster Maximum Feasible Subsystem Solutions for Dense Constraint Matrices
• [math.OC]Graph-Based Equilibrium Metrics for Dynamic Supply-Demand Systems with Applications to Ride-sourcing Platforms
• [math.OC]SLS (Single Selection): a new greedy algorithm with an
-norm selection rule
• [math.ST]Multiplier U-processes: sharp bounds and applications
• [math.ST]On high-dimensional wavelet eigenanalysis
• [math.ST]Optimality of Graph Scanning Statistic for Online Community Detection
• [math.ST]Some parametric tests based on sample spacings
• [math.ST]The Bernstein-von Mises theorem for the Pitman-Yor process of nonnegative type
• [physics.optics]Nonlocal metasurfaces for spectrally decoupled wavefront manipulation and eye tracking
• [q-bio.BM]Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM
• [q-bio.QM]Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder
• [quant-ph]Focusing on the Hybrid Quantum Computing — Tabu Search Algorithm: new results on the Asymmetric Salesman Problem
• [quant-ph]Mixed State Entanglement Classification using Artificial Neural Networks
• [quant-ph]Theoretical and Experimental Perspectives of Quantum Verification
• [stat.AP]A Bayesian cohort component projection model to estimate adult populations at the subnational level in data-sparse settings
• [stat.AP]Rethinking Representations in P&C Actuarial Science with Deep Neural Networks
• [stat.ME]Clarifying causal mediation analysis: From simple to more robust strategies for estimation of marginal natural (in)direct effects
• [stat.ME]Continuum centroid classifier for functional data
• [stat.ME]Generalized Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses
• [stat.ME]On quantile oriented sensitivity analysis
• [stat.ML]A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries
• [stat.ML]BoMb-OT: On Batch of Mini-batches Optimal Transport
• [stat.ML]Causal Discovery of a River Network from its Extremes
• [stat.ML]Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak
• [stat.ML]Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
• [stat.ML]Lenient Regret and Good-Action Identification in Gaussian Process Bandits
• [stat.ML]Sequential change-point detection for mutually exciting point processes over networks
• [stat.ML]Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation
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• [astro-ph.IM]Real-Time Likelihood-free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation
Keming Zhang, Joshua S. Bloom, B. Scott Gaudi, Francois Lanusse, Casey Lam, Jessica Lu
http://arxiv.org/abs/2102.05673v1
• [cs.AI]A Metamodel and Framework for Artificial General Intelligence From Theory to Practice
Hugo Latapie, Ozkan Kilic, Gaowen Liu, Yan Yan, Ramana Kompella, Pei Wang, Kristinn R. Thorisson, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa
http://arxiv.org/abs/2102.06112v1
• [cs.AI]Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han, Jason Rute, Yuhuai Wu, Edward W. Ayers, Stanislas Polu
http://arxiv.org/abs/2102.06203v1
• [cs.AI]Sufficiently Accurate Model Learning for Planning
Clark Zhang, Santiago Paternain, Alejandro Ribeiro
http://arxiv.org/abs/2102.06099v1
• [cs.CE]Brain Modelling as a Service: The Virtual Brain on EBRAINS
Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Popa, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid, Jan G. Bjaalie, Katrin Amunts, Jochen Mersmann, Viktor Jirsa, Petra Ritter
http://arxiv.org/abs/2102.05888v1
• [cs.CL]An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
Markus Eberts, Adrian Ulges
http://arxiv.org/abs/2102.05980v1
• [cs.CL]Customizing Contextualized Language Models forLegal Document Reviews
Shohreh Shaghaghian, Luna, Feng, Borna Jafarpour, Nicolai Pogrebnyakov
http://arxiv.org/abs/2102.05757v1
• [cs.CL]Differentiable Generative Phonology
Shijie Wu, Edoardo Maria Ponti, Ryan Cotterell
http://arxiv.org/abs/2102.05717v1
• [cs.CL]Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
Renjie Zheng, Junkun Chen, Mingbo Ma, Liang Huang
http://arxiv.org/abs/2102.05766v1
• [cs.CL]Generating Coherent and Diverse Slogans with Sequence-to-Sequence Transformer
Yiping Jin, Akshay Bhatia, Dittaya Wanvarie, Phu T. V. Le
http://arxiv.org/abs/2102.05924v1
• [cs.CL]Sequential Sentence Classification in Research Papers using Cross-Domain Multi-Task Learning
Arthur Brack, Anett Hoppe, Pascal Buschermöhle, Ralph Ewerth
http://arxiv.org/abs/2102.06008v1
• [cs.CL]Text Compression-aided Transformer Encoding
Zuchao Li, Zhuosheng Zhang, Hai Zhao, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita
http://arxiv.org/abs/2102.05951v1
• [cs.CV]A Topological Approach for Motion Track Discrimination
Tegan Emerson, Sarah Tymochko, George Stantchev, Jason A. Edelberg, Michael Wilson, Colin C. Olson
http://arxiv.org/abs/2102.05705v1
• [cs.CV]A fully automated method for 3D individual tooth identification and segmentation in dental CBCT
Tae Jun Jang, Kang Cheol Kim, Hyun Cheol Cho, Jin Keun Seo
http://arxiv.org/abs/2102.06060v1
• [cs.CV]A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering
Shih-Yang Su, Frank Yu, Michael Zollhoefer, Helge Rhodin
http://arxiv.org/abs/2102.06199v1
• [cs.CV]ABOShips — An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations
Bogdan Iancu, Valentin Soloviev, Luca Zelioli, Johan Lilius
http://arxiv.org/abs/2102.05869v1
• [cs.CV]AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognit
808
ion
Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogerio Feris
http://arxiv.org/abs/2102.05775v1
• [cs.CV]Adversarial Segmentation Loss for Sketch Colorization
Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
http://arxiv.org/abs/2102.06192v1
• [cs.CV]Adversarially robust deepfake media detection using fused convolutional neural network predictions
Sohail Ahmed Khan, Alessandro Artusi, Hang Dai
http://arxiv.org/abs/2102.05950v1
• [cs.CV]Audiovisual Highlight Detection in Videos
Karel Mundnich, Alexandra Fenster, Aparna Khare, Shiva Sundaram
http://arxiv.org/abs/2102.05811v1
• [cs.CV]Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches
Jasmin Breitenstein, Jan-Aike Termöhlen, Daniel Lipinski, Tim Fingscheidt
http://arxiv.org/abs/2102.05897v1
• [cs.CV]Deep Photo Scan: Semi-supervised learning for dealing with the real-world degradation in smartphone photo scanning
Man M. Ho, Jinjia Zhou
http://arxiv.org/abs/2102.06120v1
• [cs.CV]Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification
Sobhan Moosavi, Pravar D. Mahajan, Srinivasan Parthasarathy, Colleen Saunders-Chukwu, Rajiv Ramnath
http://arxiv.org/abs/2102.05843v1
• [cs.CV]Explainability in CNN Models By Means of Z-Scores
David Malmgren-Hansen, Allan Aasbjerg Nielsen, Leif Toudal Pedersen
http://arxiv.org/abs/2102.05874v1
• [cs.CV]Frame Difference-Based Temporal Loss for Video Stylization
Jianjin Xu, Zheyang Xiong, Xiaolin Hu
http://arxiv.org/abs/2102.05822v1
• [cs.CV]High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan
http://arxiv.org/abs/2102.06171v1
• [cs.CV]HyperPocket: Generative Point Cloud Completion
Przemysław Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Sławomir Tadeja, Łukasz Struski, Jacek Tabor, Tomasz Trzciński
http://arxiv.org/abs/2102.05973v1
• [cs.CV]L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo
http://arxiv.org/abs/2102.05971v1
• [cs.CV]Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling
Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu
http://arxiv.org/abs/2102.06183v1
• [cs.CV]Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
Przemysław Spurek, Sebastian Winczowski, Maciej Zięba, Tomasz Trzciński, Kacper Kania
http://arxiv.org/abs/2102.05984v1
• [cs.CV]Neural Re-rendering for Full-frame Video Stabilization
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang
http://arxiv.org/abs/2102.06205v1
• [cs.CV]SWAGAN: A Style-based Wavelet-driven Generative Model
Rinon Gal, Dana Cohen, Amit Bermano, Daniel Cohen-Or
http://arxiv.org/abs/2102.06108v1
• [cs.CV]Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels
Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
http://arxiv.org/abs/2102.06164v1
• [cs.CV]Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yunhsuan Sung, Zhen Li, Tom Duerig
http://arxiv.org/abs/2102.05918v1
• [cs.CV]Shelf-Supervised Mesh Prediction in the Wild
Yufei Ye, Shubham Tulsiani, Abhinav Gupta
http://arxiv.org/abs/2102.06195v1
• [cs.CV]The Barrier of meaning in archaeological data science
Luca Casini, Marco Roccetti, Giovanni Delnevo, Nicolo’ Marchetti, Valentina Orru’
http://arxiv.org/abs/2102.06022v1
• [cs.CV]UAV Localization Using Autoencoded Satellite Images
Mollie Bianchi, Timothy D. Barfoot
http://arxiv.org/abs/2102.05692v1
• [cs.CV]Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
http://arxiv.org/abs/2102.06191v1
• [cs.CV]ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media
Zheng Shi, Ethan Tseng, Mario Bijelic, Werner Ritter, Felix Heide
http://arxiv.org/abs/2102.05847v1
• [cs.CY]An electric vehicle charging station access equilibrium model with M/D/C queueing
Bingqing Liu, Theodoros P. Pantelidis, Stephanie Tam, Joseph Y. J. Chow
http://arxiv.org/abs/2102.05851v1
• [cs.CY]The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media
Claire Leibowicz, Sean McGregor, Aviv Ovadya
http://arxiv.org/abs/2102.06109v1
• [cs.DC]A Continuized View on Nesterov Acceleration
Raphaël Berthier, Francis Bach, Nicolas Flammarion, Pierre Gaillard, Adrien Taylor
http://arxiv.org/abs/2102.06035v1
• [cs.DC]Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs
Morgan Geldenhuys, Lauritz Thamsen, Odej Kao
http://arxiv.org/abs/2102.06170v1
• [cs.DC]Effectively Testing System Configurations of Critical IoT Analytics Pipelines
Morgan Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao
http://arxiv.org/abs/2102.06094v1
• [cs.DC]Temporal Parallelization of Inference in Hidden Markov Models
Sakira Hassan, Simo Särkkä, Ángel F. García-Fernández
http://arxiv.org/abs/2102.05743v1
• [cs.DC]Terminating grid exploration with myopic luminous robots
Shota Nagahama, Fukuhito Ooshita, Michiko Inoue
http://arxiv.org/abs/2102.06006v1
• [cs.DL]Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies
Arthur Brack, Anett Hoppe, Markus Stocker, Sören Auer, Ralph Ewerth
http://arxiv.org/abs/2102.06021v1
• [cs.DS]Runtime Analysis of RLS and the (1+1) EA for the Chance-constrained Knapsack Problem with Correlated Uniform Weights
Yue Xie, Aneta Neumann, Frank Neumann, Andrew M. Sutton
http://arxiv.org/abs/2102.05778v1
• [cs.GR]Neural BRDF Representation and Importance Sampling
Alejandro Sztrajman, Gilles Rainer, Tobias Ritschel, Tim Weyrich
http://arxiv.org/abs/2102.05963v1
• [cs.GT]A Logic for Conditional Local Strategic Reasoning
Valentin Goranko, Fengkui Ju
http://arxiv.org/abs/2102.06148v1
• [cs.HC]A Survey on Synchronous Augmented, Virtual and Mixed Reality Remote Collaboration Systems
Alexander Schäfer, Gerd Reis, Didier Stricker
http://arxiv.org/abs/2102.05998v1
• [cs.HC]Artificial intelligence in communication impacts language and social relationships
Jess Hohenstein, Dominic DiFranzo, Rene F. Kizilcec, Zhila Aghajari, Hannah Mieczkowski, Karen Levy, Mor Naaman, Jeff Hancock, Malte Jung
http://arxiv.org/abs/2102.05756v1
• [cs.IR]An Affective Aware Pseudo Association Method to Connect Disjoint Users Across Multiple Datasets — An Enhanced Validation Method for Text-based Emotion Aware Recommender
John Kalung Leung, Igor Griva, William G. Kennedy
http://arxiv.org/abs/2102.05719v1
• [cs.IR]Auctus: A Dataset Search Engine for Data Augmentation
Fernando Chirigati, Rémi Rampin, Aécio Santos, Aline Bessa, Juliana Freire
http://arxiv.org/abs/2102.05716v1
• [cs.IR]ELSKE: Efficient Large-Scale Keyphrase Extraction
Johannes Knittel, Steffen Koch, Thomas Ertl
http://arxiv.org/abs/2102.05700v1
• [cs.IR]Information Extraction From Co-Occurring Similar Entities
Nicolas Heist, Heiko Paulheim
http://arxiv.org/abs/2102.05444v2
• [cs.IR]Personalized Embedding-based e-Commerce Recommendations at eBay
Tian Wang, Yuri M. Brovman, Sriganesh Madhvanath
http://arxiv.org/abs/2102.06156v1
• [cs.IT]Fisher Information and Mutual Information Constraints
Leighton Pate Barnes, Ayfer Ozgur
http://arxiv.org/abs/2102.05802v1
• [cs.IT]Learning under Distribution Mismatch and Model Misspecification
Mohammad Saeed Masiha, Amin Gohari, Mohammad Hossein Yassaee, Mohammad Reza Aref
http://arxiv.org/abs/2102.05695v1
• [cs.IT]Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls
Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Björn Ottersten, Merouane Debbah
http://arxiv.org/abs/2102.05711v1
• [cs.IT]Near-field Tracking with Large Antenna Arrays: Fundamental Limits and Practical Algorithms
Anna Guerra, Francesco Guidi, Davide Dardari, Petar M. Djuric
http://arxiv.org/abs/2102.05890v1
• [cs.IT]On the Performance of the Primary and Secondary Links in a 3-D Underlay Cognitive Molecular Communication
Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta
http://arxiv.org/abs/2102.05812v1
• [cs.IT]Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels
Wael Alghamdi, Flavio P. Calmon
http://arxiv.org/abs/2102.05970v1
• [cs.IT]Rate-Splitting Multiple Access for Multigateway Multibeam Satellite Systems with Feeder Link Interference
Zhi Wen Si, Longfei Yin, Bruno Clerckx
http://arxiv.org/abs/2102.05792v1
• [cs.LG]Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang
http://arxiv.org/abs/2102.05858v1
• [cs.LG]Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors
Pooya Tavallali, Vahid Behzadan, Peyman Tavallali, Mukesh Singhal
http://arxiv.org/abs/2102.05867v1
• [cs.LG]An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids
Hossein Mohammadi Rouzbahani, Hadis Karimipour, Lei Lei
http://arxiv.org/abs/2102.06039v1
• [cs.LG]Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems
Mustafa Abdallah, Wo Jae Lee, Nithin Raghunathan, Charilaos Mousoulis, John W. Sutherland, Saurabh Bagchi
http://arxiv.org/abs/2102.05814v1
• [cs.LG]AutoScore: An Automated Warning Score Model for the Early Prediction of Clinical Events
Ibrahim Hammoud, Prateek Prasanna, IV Ramakrishnan, Adam Singer, Mark Henry, Henry Thode
http://arxiv.org/abs/2102.05958v1
• [cs.LG]Causal Inference for Time series Analysis: Problems, Methods and Evaluation
Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
http://arxiv.org/abs/2102.05829v1
• [cs.LG]Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
Vojtěch Vančura, Pavel Kordík
http://arxiv.org/abs/2102.05774v1
• [cs.LG]Defense Against Reward Poisoning Attacks in Reinforcement Learning
Kiarash Banihashem, Adish Singla, Goran Radanovic
http://arxiv.org/abs/2102.05776v1
• [cs.LG]Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy
Dylan Slack, Nathalie Rauschmayr, Krishnaram Kenthapadi
http://arxiv.org/abs/2102.06162v1
• [cs.LG]Derivative-Free Reinforcement Learning: A Review
Hong Qian, Yang Yu
http://arxiv.org/abs/2102.05710v1
• [cs.LG]Development of Crop Yield Estimation Model using Soil and Environmental Parameters
Nisar Ahmed, Hafiz Muhammad Shahzad Asif, Gulshan Saleem, Muhammad Usman Younus
http://arxiv.org/abs/2102.05755v1
• [cs.LG]Differentiable Implicit Soft-Body Physics
Junior Rojas, Eftychios Sifakis, Ladislav Kavan
http://arxiv.org/abs/2102.05791v1
• [cs.LG]Disentangled Representations from Non-Disentangled Models
Valentin Khrulkov, Leyla Mirvakhabova, Ivan Oseledets, Artem Babenko
http://arxiv.org/abs/2102.06204v1
• [cs.LG]Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
http://arxiv.org/abs/2102.05714v1
• [cs.LG]Early Performance Prediction using Interpretable Patterns in Programming Process Data
Ge Gao, Samiha Marwan, Thomas W. Price
http://arxiv.org/abs/2102.05765v1
• [cs.LG]Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub
Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Xuanzhe Liu, Qiaozhu Mei
http://arxiv.org/abs/2102.05737v1
• [cs.LG]EvoSplit: An evolutionary approach to split a multi-label data set into disjoint subset
Francisco Florez-Revuelta
http://arxiv.org/abs/2102.06154v1
• [cs.LG]Fairness Through Regularization for Learning to Rank
Nikola Konstantinov, Christoph H. Lampert
http://arxiv.org/abs/2102.05996v1
• [cs.LG]Fairness-Aware Learning from Corrupted Data
Nikola Konstantinov, Christoph H. Lampert
http://arxiv.org/abs/2102.06004v1
• [cs.LG]Feature Selection for Multivariate Time Series via Network Pruning
Kang Gu, Soroush Vosoughi, Temiloluwa Prioleau
http://arxiv.org/abs/2102.06024v1
• [cs.LG]Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks
Marlotte Pannekoek, Giacomo Spigler
http://arxiv.org/abs/2102.05975v1
• [cs.LG]Meta-Thompson Sampling
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvari
http://arxiv.org/abs/2102.06129v1
• [cs.LG]Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani, Amy Zhang, Joelle Pineau
http://arxiv.org/abs/2102.06177v1
• [cs.LG]Novel Techniques to Assess Predictive Systems and Reduce Their Alarm Burden
Jonathan A. Handler, Craig F. Feied, Michael T. Gillam
http://arxiv.org/abs/2102.05691v1
• [cs.LG]On Deep Learning with Label Differential Privacy
Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang
http://arxiv.org/abs/2102.06062v1
• [cs.LG]Online Deterministic Annealing for Classification and Clustering
Christos Mavridis, John Baras
http://arxiv.org/abs/2102.05836v1
• [cs.LG]OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking
Glenn Dawson, Robi Polikar
http://arxiv.org/abs/2102.05884v1
• [cs.LG]Partially Observed Exchangeable Modeling
Yang Li, Junier B. Oliva
http://arxiv.org/abs/2102.06083v1
• [cs.LG]PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification
Dominique Mercier, Andreas Dengel, Sheraz Ahmed
http://arxiv.org/abs/2102.05917v1
• [cs.LG]Predicting Clinical Deterioration in Hospitals
Laleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein, Joaqun Alvarez Rodrguez
http://arxiv.org/abs/2102.05856v1
• [cs.LG]Predicting Customer Lifetime Values — ecommerce use case
Ziv Pollak
http://arxiv.org/abs/2102.05771v1
• [cs.LG]Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data
Kai-Fung Chu, Lintao Zhang
http://arxiv.org/abs/2102.05883v1
• [cs.LG]Private Prediction Sets
Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan
http://arxiv.org/abs/2102.06202v1
• [cs.LG]Quadric hypersurface intersection for manifold learning in feature space
Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeny Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko
http://arxiv.org/abs/2102.06186v1
• [cs.LG]Representation Matters: Offline Pretraining for Sequential Decision Making
Mengjiao Yang, Ofir Nachum
http://arxiv.org/abs/2102.05815v1
• [cs.LG]Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning
Joel Joseph, Alex Gu
http://arxiv.org/abs/2102.05824v1
• [cs.LG]Risk-Averse Bayes-Adaptive Reinforcement Learning
Marc Rigter, Bruno Lacerda, Nick Hawes
http://arxiv.org/abs/2102.05762v1
• [cs.LG]Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank
Harrie Oosterhuis, Maarten de Rijke
http://arxiv.org/abs/2102.05990v1
• [cs.LG]Robust Policy Gradient against Strong Data Corruption
Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun
http://arxiv.org/abs/2102.05800v1
• [cs.LG]SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing
Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson
http://arxiv.org/abs/2102.05713v1
• [cs.LG]Self-supervised learning for fast and scalable time series hyper-parameter tuning
Peiyi Zhang, Xiaodong Jiang, Ginger M Holt, Nikolay Pavlovich Laptev, Caner Komurlu, Peng Gao, Yang Yu
http://arxiv.org/abs/2102.05740v1
• [cs.LG]SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Soren Brage, Nick Wareham, Cecilia Mascolo
http://arxiv.org/abs/2102.06073v1
• [cs.LG]Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets
Sai Aparna Aketi, Amandeep Singh, Jan Rabaey
http://arxiv.org/abs/2102.05715v1
• [cs.LG]Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model
Gustavo Oliveira, Leandro Minku, Adriano Oliveira
http://arxiv.org/abs/2102.05983v1
• [cs.LG]Testing Framework for Black-box AI Models
Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha
http://arxiv.org/abs/2102.06166v1
• [cs.LG]The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms
Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo
http://arxiv.org/abs/2102.05956v1
• [cs.LG]Uncertainty Propagation in Convolutional Neural Networks: Technical Report
Christos Tzelepis, Ioannis Patras
http://arxiv.org/abs/2102.06064v1
• [cs.NE]Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems
Kaiwen Li, Tao Zhang, Rui Wang Yuheng Wang, Yi Han
http://arxiv.org/abs/2102.05875v1
• [cs.NE]Searching for Designs in-between
Camilo Cruz Gambardella, Jon McCormack
http://arxiv.org/abs/2102.05864v1
• [cs.RO]Data-Driven MPC for Quadrotors
Guillem Torrente, Elia Kaufmann, Philipp Foehn, Davide Scaramuzza
http://arxiv.org/abs/2102.05773v1
• [cs.RO]Search Planning of a UAV/UGV Team with Localization Uncertainty in a Subterranean Environment
Matteo De Petrillo, Jared Beard, Yu Gu, Jason N. Gross
http://arxiv.org/abs/2102.06069v1
• [cs.RO]Speeding up Routing Schedules on Aisle-Graphs with Single Access
Francesco Betti Sorbelli, Stefano Carpin, Federico Coro, Sajal K. Das, Alfredo Navarra, Cristina M. Pinotti
http://arxiv.org/abs/2102.05733v1
• [cs.RO]Toward Safe and Efficient Human-Robot Interaction via Behavior-Driven Danger Signaling
Mehdi Hosseinzadeh, Bruno Sinopoli, Aaron F. Bobick
http://arxiv.org/abs/2102.05144v2
• [cs.RO]Transfer Reinforcement Learning across Homotopy Classes
Zhangjie Cao, Minae Kwon, Dorsa Sadigh
http://arxiv.org/abs/2102.05207v2
• [cs.RO]VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments
Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi
http://arxiv.org/abs/2102.05965v1
• [cs.SD]A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
Sayan Nag, Uddalok Sarkar, Shankha Sanyal, Archi Banerjee, Souparno Roy, Samir Karmakar, Ranjan Sengupta, Dipak Ghosh
http://arxiv.org/abs/2102.06038v1
• [cs.SD]CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions
Ali Bou Nassif, Ismail Shahin, Shibani Hamsa, Nawel Nemmour, Keikichi Hirose
http://arxiv.org/abs/2102.05894v1
• [cs.SD]Language Independent Emotion Quantification using Non linear Modelling of Speech
Uddalok Sarkar, Sayan Nag, Chirayata Bhattacharya, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh
http://arxiv.org/abs/2102.06003v1
• [cs.SD]Self-Supervised VQ-VAE For One-Shot Music Style Transfer
Ondřej Cífka, Alexey Ozerov, Umut Şimşekli, Gaël Richard
http://arxiv.org/abs/2102.05749v1
• [cs.SD]Speech enhancement with mixture-of-deep-experts with clean clustering pre-training
Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
http://arxiv.org/abs/2102.06034v1
• [cs.SE]DirectDebug: Automated Testing and Debugging of Feature Models
Viet-Man Le, Alexander Felfernig, Mathias Uta, David Benavides, José Galindo, Thi Ngoc Trang Tran
http://arxiv.org/abs/2102.05949v1
• [cs.SE]Using Machine Intelligence to Prioritise Code Review Requests
Nishrith Saini, Ricardo Britto
http://arxiv.org/abs/2102.05916v1
• [cs.SI]Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach
Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
http://arxiv.org/abs/2102.05954v1
• [eess.IV]COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
Md. Kamrul Hasan, Md. Tasnim Jawad, Kazi Nasim Imtiaz Hasan, Sajal Basak Partha, Md. Masum Al Masba
http://arxiv.org/abs/2102.06169v1
• [eess.IV]Learning local regularization for variational image restoration
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
http://arxiv.org/abs/2102.06155v1
• [eess.IV]Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features
Antonio Sze-To, Abtin Riasatian, Hamid R. Tizhoosh
http://arxiv.org/abs/2102.06096v1
• [eess.SP]Millimeter Wave MIMO based Depth Maps for Wireless Virtual and Augmented Reality
Abdelrahman Taha, Qi Qu, Sam Alex, Ping Wang, Bill Abbott, Ahmed Alkhateeb
http://arxiv.org/abs/2102.06198v1
• [eess.SY]A Geometric Nonlinear Stochastic Filter for Simultaneous Localization and Mapping
Hashim A. Hashim
http://arxiv.org/abs/2102.06150v1
• [eess.SY]Optimal adaptive inspection and maintenance planning for deteriorating structural systems
Elizabeth Bismut, Daniel Straub
http://arxiv.org/abs/2102.06016v1
• [math.NA]Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinous Galerkin and Virtual Element methods
P. F. Antonietti, E. Manuzzi
http://arxiv.org/abs/2102.05738v1
• [math.OC]Diffusion of new products with heterogeneous consumers
Gadi Fibich, Amit Golan
http://arxiv.org/abs/2102.05926v1
• [math.OC]Faster Maximum Feasible Subsystem Solutions for Dense Constraint Matrices
Fereshteh Fakhar Firouzeh, John W. Chinneck, Sreeraman Rajan
http://arxiv.org/abs/2102.05744v1
• [math.OC]Graph-Based Equilibrium Metrics for Dynamic Supply-Demand Systems with Applications to Ride-sourcing Platforms
Fan Zhou, Shikai Luo, Xiaohu Qie, Jieping Ye, Hongtu Zhu
http://arxiv.org/abs/2102.05805v1
• [math.OC]SLS (Single Selection): a new greedy algorithm with an
-norm selection rule
Ramzi Ben Mhenni, Sébastien Bourguignon, Jérôme Idier
http://arxiv.org/abs/2102.06058v1
• [math.ST]Multiplier U-processes: sharp bounds and applications
Qiyang Han
http://arxiv.org/abs/2102.05764v1
• [math.ST]On high-dimensional wavelet eigenanalysis
Patrice Abry, B. Cooper Boniece, Gustavo Didier, Herwig Wendt
http://arxiv.org/abs/2102.05761v1
• [math.ST]Optimality of Graph Scanning Statistic for Online Community Detection
Liyan Xie, Yao Xie
http://arxiv.org/abs/2102.05821v1
• [math.ST]Some parametric tests based on sample spacings
Rahul Singh, Neeraj Misra
http://arxiv.org/abs/2102.05832v1
• [math.ST]The Bernstein-von Mises theorem for the Pitman-Yor process of nonnegative type
S. E. M. P. Franssen, A. W. van der Vaart
http://arxiv.org/abs/2102.06059v1
• [physics.optics]Nonlocal metasurfaces for spectrally decoupled wavefront manipulation and eye tracking
Jung-Hwan Song, Jorik van de Groep, Soo Jin Kim, Mark L. Brongersma
http://arxiv.org/abs/2102.05790v1
• [q-bio.BM]Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM
Dong Si, Andrew Nakamura, Runbang Tang, Haowen Guan, Jie Hou, Ammaar Firozi, Renzhi Cao, Kyle Hippe, Minglei Zhao
http://arxiv.org/abs/2102.06125v1
• [q-bio.QM]Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder
Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred Hamprecht
http://arxiv.org/abs/2102.05892v1
• [quant-ph]Focusing on the Hybrid Quantum Computing — Tabu Search Algorithm: new results on the Asymmetric Salesman Problem
Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, Aitor Moreno-Fernandez-de-Leceta
http://arxiv.org/abs/2102.05919v1
• [quant-ph]Mixed State Entanglement Classification using Artificial Neural Networks
Cillian Harney, Mauro Paternostro, Stefano Pirandola
http://arxiv.org/abs/2102.06053v1
• [quant-ph]Theoretical and Experimental Perspectives of Quantum Verification
Jose Carrasco, Andreas Elben, Christian Kokail, Barbara Kraus, Peter Zoller
http://arxiv.org/abs/2102.05927v1
• [stat.AP]A Bayesian cohort component projection model to estimate adult populations at the subnational level in data-sparse settings
Monica Alexander, Leontine Alkema
http://arxiv.org/abs/2102.06121v1
• [stat.AP]Rethinking Representations in P&C Actuarial Science with Deep Neural Networks
Christopher Blier-Wong, Jean-Thomas Baillargeon, Hélène Cossette, Luc Lamontagne, Etienne Marceau
http://arxiv.org/abs/2102.05784v1
• [stat.ME]Clarifying causal mediation analysis: From simple to more robust strategies for estimation of marginal natural (in)direct effects
Trang Quynh Nguyen, Elizabeth B. Sarker, Ian Schmid, Noah Greifer, Elizabeth L. Ogburn, Ina M. Koning, Elizabeth A. Stuart
http://arxiv.org/abs/2102.06048v1
• [stat.ME]Continuum centroid classifier for functional data
Zhiyang Zhou, Peijun Sang
http://arxiv.org/abs/2102.06130v1
• [stat.ME]Generalized Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses
Harris Quach, Bing Li
http://arxiv.org/abs/2102.06002v1
• [stat.ME]On quantile oriented sensitivity analysis
Kevin Elie-Dit-Cosaque, Véronique Maume-Deschamps
http://arxiv.org/abs/2102.05895v1
• [stat.ML]A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries
Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
http://arxiv.org/abs/2102.06137v1
• [stat.ML]BoMb-OT: On Batch of Mini-batches Optimal Transport
Khai Nguyen, Quoc Nguyen, Nhat Ho, Tung Pham, Hung Bui, Dinh Phung, Trung Le
http://arxiv.org/abs/2102.05912v1
• [stat.ML]Causal Discovery of a River Network from its Extremes
Ngoc Mai Tran, Johannes Buck, Claudia Klüppelberg
http://arxiv.org/abs/2102.06197v1
• [stat.ML]Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak
Muhammad Naeem, Jian Yu, Muhammad Aamir, Sajjad Ahmad Khan, Olayinka Adeleye, Zardad Khan
http://arxiv.org/abs/2102.05960v1
• [stat.ML]Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
Rishav Chourasia, Jiayuan Ye, Reza Shokri
http://arxiv.org/abs/2102.05855v1
• [stat.ML]Lenient Regret and Good-Action Identification in Gaussian Process Bandits
Xu Cai, Selwyn Gomes, Jonathan Scarlett
http://arxiv.org/abs/2102.05793v1
• [stat.ML]Sequential change-point detection for mutually exciting point processes over networks
Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
http://arxiv.org/abs/2102.05724v1
• [stat.ML]Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation
Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos, Sotirios Chatzis, Dimitris N. Metaxas
http://arxiv.org/abs/2102.06143v1
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