astro-ph.SR - 太阳和天体物理学恒星
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 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.NI - 网络和互联网体系结构 cs.RO - 机器人学 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.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-fin.PM - 投资组合管理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.SR]Modeling protoplanetary disk SEDs with artificial neural networks: Revisiting the viscous disk model and updated disk masses
• [cs.AI]A Hybrid Neuro-Symbolic Approach for Complex EventProcessing
• [cs.AI]Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning
• [cs.AI]Induction and Exploitation of Subgoal Automata for Reinforcement Learning
• [cs.AI]Linear Temporal Public Announcement Logic: a new perspective for reasoning the knowledge of multi-classifiers
• [cs.AI]Robust Conversational AI with Grounded Text Generation
• [cs.AI]TaBooN — Boolean Network Synthesis Based on Tabu Search
• [cs.CL]ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model
• [cs.CL]Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition
• [cs.CL]LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets
• [cs.CL]NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier
• [cs.CL]Simple is Better! Lightweight Data Augmentation for Low Resource Slot Filling and Intent Classification
• [cs.CL]kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification
• [cs.CR]Automatic Yara Rule Generation Using Biclustering
• [cs.CR]Detection of Anomalies and Faults in Industrial IoT Systems by Data Mining: Study of CHRIST Osmotron Water Purification System
• [cs.CR]Efficient Quantification of Profile Matching Risk in Social Networks
• [cs.CR]Randomness Concerns When Deploying Differential Privacy
• [cs.CR]SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications
• [cs.CR]Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy
• [cs.CV]A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition
• [cs.CV]A Residual Solver and Its Unfolding Neural Network for Total Variation Regularized Models
• [cs.CV]Adversarial Machine Learning in Image Classification: A Survey Towards the Defender’s Perspective
• [cs.CV]Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals
• [cs.CV]Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
• [cs.CV]Intraoperative Liver Surface Completion with Graph Convolutional VAE
• [cs.CV]LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
• [cs.CV]Rain rendering for evaluating and improving robustness to bad weather
• [cs.CV]Region Comparison Network for Interpretable Few-shot Image Classification
• [cs.CV]Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors
• [cs.CV]Understanding and Exploiting Dependent Variables with Deep Metric Learning
• [cs.CV]VisCode: Embedding Information in Visualization Images using Encoder-Decoder Network
• [cs.CV]ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
• [cs.CY]A First Look at Zoombombing
• [cs.CY]A Robotic Positive Psychology Coach to Improve College Students’ Wellbeing
• [cs.CY]Black Lives Matter discourse on US social media during COVID: polarised positions enacted in a new event
• [cs.CY]Energy Expenditure Estimation Through Daily Activity Recognition Using a Smart-phone
• [cs.CY]Procedural Generation of STEM Quizzes
• [cs.DB]Leam: An Interactive System for In-situ Visual Text Analysis
• [cs.DC]A Virtual Frame Buffer Abstraction for Parallel Rendering of Large Tiled Display Walls
• [cs.DC]Asynchronous Runtime with Distributed Manager for Task-based Programming Models
• [cs.DC]Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions
• [cs.DC]Self-Stabilizing Construction of a Minimal Weakly $\mathcal{ST}$-Reachable Directed Acyclic Graph
• [cs.DS]A Fast Randomized Algorithm for Finding the Maximal Common Subsequences
• [cs.DS]A Lightweight Algorithm to Uncover Deep Relationships in Data Tables
• [cs.GR]Computational Design of Cold Bent Glass Façades
• [cs.IR]IAI MovieBot: A Conversational Movie Recommender System
• [cs.IR]Proximity full-text searches of frequently occurring words with a response time guarantee
• [cs.IT]Composite Signalling for DFRC: Dedicated Probing Signal or Not?
• [cs.IT]Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery (iTWIST’20)
• [cs.IT]Joint Beam Training and Positioning For Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications
• [cs.IT]Primal-dual splitting scheme with backtracking for handling with epigraphic constraint and sparse analysis regularization
• [cs.IT]Second-Order Asymptotically Optimal Universal Outlying Sequence Detection with Reject Option
• [cs.IT]Tight List-Sizes for Oblivious AVCs under Constraints
• [cs.LG]A Real-time Contribution Measurement Method for Participants in Federated Learning
• [cs.LG]Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks
• [cs.LG]Adversarial Attack on Large Scale Graph
• [cs.LG]Approximate Multiplication of Sparse Matrices with Limited Space
• [cs.LG]Deep Active Inference for Partially Observable MDPs
• [cs.LG]Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment
• [cs.LG]Discovering Reliable Causal Rules
• [cs.LG]Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior
• [cs.LG]Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression
• [cs.LG]Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People
• [cs.LG]Generative Language Modeling for Automated Theorem Proving
• [cs.LG]Hierarchical Message-Passing Graph Neural Networks
• [cs.LG]High-throughput relation extraction algorithm development associating knowledge articles and electronic health records
• [cs.LG]Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption
• [cs.LG]Hyperparameter Optimization via Sequential Uniform Designs
• [cs.LG]Imbalanced Continual Learning with Partitioning Reservoir Sampling
• [cs.LG]Large-scale Neural Solvers for Partial Differential Equations
• [cs.LG]Learning Interpretable Feature Context Effects in Discrete Choice
• [cs.LG]Learning more expressive joint distributions in multimodal variational methods
• [cs.LG]Low-Rank Training of Deep Neural Networks for Emerging Memory Technology
• [cs.LG]Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care
• [cs.LG]Masked Label Prediction: Unified Massage Passing Model for Semi-Supervised Classification
• [cs.LG]Multivariable times series classification through an interpretable representation
• [cs.LG]On Training Neural Networks with Mixed Integer Programming
• [cs.LG]PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks
• [cs.LG]Refined approachability algorithms and application to regret minimization with global costs
• [cs.LG]Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks
• [cs.LG]Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition
• [cs.LG]Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
• [cs.LG]Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning
• [cs.LG]Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting
• [cs.LG]Trajectory Based Podcast Recommendation
• [cs.NE]Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search
• [cs.NE]GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning
• [cs.NE]On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs
• [cs.NE]TanhSoft — a family of activation functions combining Tanh and Softplus
• [cs.NI]5G NR-V2X: Towards Connected and Cooperative Autonomous Driving
• [cs.NI]Cross-layer Band Selection and Routing Design for Diverse Band-aware DSA Networks
• [cs.NI]LACO: A Latency-Driven Network Slicing Orchestration in Beyond-5G Networks
• [cs.RO]A Deep Learning-Based Autonomous RobotManipulator for Sorting Application
• [cs.RO]Adapted Pepper
• [cs.RO]Comparison of camera-based and 3D LiDAR-based loop closures across weather conditions
• [cs.RO]Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle Safety
• [cs.RO]Multi-Agent Collaboration for Building Construction
• [cs.RO]Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles
• [cs.RO]Safe Online Learning Tracking Control for Quadrotors under Wind Disturbances
• [cs.RO]Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation
• [cs.RO]Sensors, Safety Models and A System-Level Approach to Safe and Scalable Automated Vehicles
• [cs.SI]A Longitudinal Analysis of a Social Network of Intellectual History
• [cs.SI]HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process
• [cs.SI]QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection
• [eess.IV]Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method
• [eess.IV]Convolution Neural Networks for diagnosing colon and lung cancer histopathological images
• [eess.IV]Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
• [eess.IV]Going deeper with brain morphometry using neural networks
• [eess.IV]Unsupervised Change Detection in Satellite Images with Generative Adversarial Network
• [eess.SP]An IMM-based Decentralized Cooperative Localization with LoS and NLoS UWB Inter-agent Ranging
• [eess.SP]ECG Beats Fast Classification Base on Sparse Dictionaries
• [eess.SP]Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People
• [eess.SY]$\mathcal{RL}_1$-$\mathcal{GP}$: Safe Simultaneous Learning and Control
• [math.NA]The Seven-League Scheme: Deep learning for large time step Monte Carlo simulations of stochastic differential equations
• [math.OC]Alternating Direction Method of Multipliers for Quantization
• [math.OC]Attack-resilient observer pruning for path-tracking control of Wheeled Mobile Robot
• [math.OC]Dual optimal design and the Christoffel-Darboux polynomial
• [math.ST]Controlled Drift Estimation in the Mixed Fractional Ornestein-Uhlenbeck Process
• [math.ST]Learning the smoothness of noisy curves with application to online curve estimation
• [math.ST]Modified estimator for the proportion of true null hypotheses under discrete setup with proven FDR control by the adaptive Benjamini-Hochberg procedure
• [math.ST]Permutation Testing for Dependence in Time Series
• [math.ST]Qualitative Robust Bayesianism and the Likelihood Principle
• [math.ST]Shannon entropy estimation for linear processes
• [math.ST]Universal Inference with Composite Likelihoods
• [physics.comp-ph]Physics-informed Gaussian Process for Online Optimization of Particle Accelerators
• [physics.soc-ph]The impact of COVID-19 on relative changes in aggregated mobility using mobile-phone data
• [q-bio.NC]Nonlinear computations in spiking neural networks through multiplicative synapses
• [q-bio.PE]Covid-19 Belgium: Extended SEIR-QD model with nursery homes and long-term scenarios-based forecasts from school opening
• [q-fin.PM]Topological Data Analysis for Portfolio Management of Cryptocurrencies
• [stat.AP]Can we trust the standardized mortality ratio? A formal analysis and evaluation based on axiomatic requirements
• [stat.AP]Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms
• [stat.AP]Graph Neural Networks for Model Recommendation using Time Series Data
• [stat.AP]Improving Crime Count Forecasts Using Twitter and Taxi Data
• [stat.AP]Modeling and Analysis of Dynamic Charging for EVs: A Stochastic Geometry Approach
• [stat.AP]Simulating normalised constants with referenced thermodynamic integration: application to COVID-19 model selection
• [stat.AP]Spatial Bayesian Hierarchical Modelling with Integrated Nested Laplace Approximation
• [stat.CO]Accelerating sequential Monte Carlo with surrogate likelihoods
• [stat.ME]Beyond unidimensional poverty analysis using distributional copula models for mixed ordered-continuous outcomes
• [stat.ME]Designing Transportable Experiments
• [stat.ME]Ensemble Riemannian Data Assimilation over the Wasserstein Space
• [stat.ME]Survival Analysis via Ordinary Differential Equations
• [stat.ML]Non-exponentially weighted aggregation: regret bounds for unbounded loss functions
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• [astro-ph.SR]Modeling protoplanetary disk SEDs with artificial neural networks: Revisiting the viscous disk model and updated disk masses
Á. Ribas, C. C. Espaillat, E. Macías, L. M. Sarro
http://arxiv.org/abs/2009.03323v1
• [cs.AI]A Hybrid Neuro-Symbolic Approach for Complex EventProcessing
Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimmig, Federico Cerutti
http://arxiv.org/abs/2009.03420v1
• [cs.AI]Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning
Manuel Camargo, Marlon Dumas, Oscar Gonzalez-Rojas
http://arxiv.org/abs/2009.03567v1
• [cs.AI]Induction and Exploitation of Subgoal Automata for Reinforcement Learning
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
http://arxiv.org/abs/2009.03855v1
• [cs.AI]Linear Temporal Public Announcement Logic: a new perspective for reasoning the knowledge of multi-classifiers
Amirhoshang Hoseinpour Dehkordi, Majid Alizadeh, Ali Movaghar
http://arxiv.org/abs/2009.03793v1
• [cs.AI]Robust Conversational AI with Grounded Text Generation
Jianfeng Gao, Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Heung-Yeung Shum
http://arxiv.org/abs/2009.03457v1
• [cs.AI]TaBooN — Boolean Network Synthesis Based on Tabu Search
Sara Sadat Aghamiri, Franck Delaplace
http://arxiv.org/abs/2009.03587v1
• [cs.CL]ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model
Zhengjie Huang, Shikun Feng, Weiyue Su, Xuyi Chen, Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Yu Sun
http://arxiv.org/abs/2009.03706v1
• [cs.CL]Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition
Gizem Soğancıoğlu, Oxana Verkholyak, Heysem Kaya, Dmitrii Fedotov, Tobias Cadèe, Albert Ali Salah, Alexey Karpov
http://arxiv.org/abs/2009.03432v1
• [cs.CL]LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets
Abhilasha Sancheti, Kushal Chawla, Gaurav Verma
http://arxiv.org/abs/2009.03849v1
• [cs.CL]NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier
Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo, Alexander Gelbukh
http://arxiv.org/abs/2009.03397v1
• [cs.CL]Simple is Better! Lightweight Data Augmentation for Low Resource Slot Filling and Intent Classification
Samuel Louvan, Bernardo Magnini
http://arxiv.org/abs/2009.03695v1
• [cs.CL]kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification
Jiaxiang Liu, Xuyi Chen, Shikun Feng, Shuohuan Wang, Xuan Ouyang, Yu Sun, Zhengjie Huang, Weiyue Su
http://arxiv.org/abs/2009.03673v1
• [cs.CR]Automatic Yara Rule Generation Using Biclustering
Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
http://arxiv.org/abs/2009.03779v1
• [cs.CR]Detection of Anomalies and Faults in Industrial IoT Systems by Data Mining: Study of CHRIST Osmotron Water Purification System
Mohammad Sadegh Sadeghi Garmaroodi, Faezeh Farivar, Mohammad Sayad Haghighi, Mahdi Aliyari Shoorehdeli, Alireza Jolfaei
http://arxiv.org/abs/2009.03645v1
• [cs.CR]Efficient Quantification of Profile Matching Risk in Social Networks
Anisa Halimi, Erman Ayday
http://arxiv.org/abs/2009.03698v1
• [cs.CR]Randomness Concerns When Deploying Differential Privacy
Simson L. Garfinkel, Philip Leclerc
http://arxiv.org/abs/2009.03777v1
• [cs.CR]SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications
A K M Mubashwir Alam, Sagar Sharma, Keke Chen
http://arxiv.org/abs/2009.03518v1
• [cs.CR]Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy
Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro
http://arxiv.org/abs/2009.03561v1
• [cs.CV]A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition
Chaoxing Huang, Xuanying Zhu, Tom Gedeon
http://arxiv.org/abs/2009.02650v2
• [cs.CV]A Residual Solver and Its Unfolding Neural Network for Total Variation Regularized Models
Yuanhao Gong
http://arxiv.org/abs/2009.03477v1
• [cs.CV]Adversarial Machine Learning in Image Classification: A Survey Towards the Defender’s Perspective
Gabriel Resende Machado, Eugênio Silva, Ronaldo Ribeiro Goldschmidt
http://arxiv.org/abs/2009.03728v1
• [cs.CV]Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals
Giuseppe Placidi, Luigi Cinque, Matteo Polsinelli
http://arxiv.org/abs/2009.03696v1
• [cs.CV]Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
Shengjie Liu, Qian Shi, Liangpei Zhang
http://arxiv.org/abs/2009.03508v1
• [cs.CV]Intraoperative Liver Surface Completion with Graph Convolutional VAE
Simone Foti, Bongjin Koo, Thomas Dowrick, Joao Ramalhinho, Moustafa Allam, Brian Davidson, Danail Stoyanov, Matthew J. Clarkson
http://arxiv.org/abs/2009.03871v1
• [cs.CV]LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling
http://arxiv.org/abs/2009.03465v1
• [cs.CV]Rain rendering for evaluating and improving robustness to bad weather
Maxime Tremblay, Shirsendu Sukanta Halder, Raoul de Charette, Jean-François Lalonde
http://arxiv.org/abs/2009.03683v1
• [cs.CV]Region Comparison Network for Interpretable Few-shot Image Classification
Zhiyu Xue, Lixin Duan, Wen Li, Lin Chen, Jiebo Luo
http://arxiv.org/abs/2009.03558v1
• [cs.CV]Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors
Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Peter Bell, Andreas Maier, Vincent Christlein
http://arxiv.org/abs/2009.03807v1
• [cs.CV]Understanding and Exploiting Dependent Variables with Deep Metric Learning
Niall O’ Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Gustavo Velasco-Hernandez, Daniel Riordan, Joseph Walsh
http://arxiv.org/abs/2009.03820v1
• [cs.CV]VisCode: Embedding Information in Visualization Images using Encoder-Decoder Network
Peiying Zhang, Chenhui Li, Changbo Wang
http://arxiv.org/abs/2009.03817v1
• [cs.CV]ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
http://arxiv.org/abs/2009.03456v1
• [cs.CY]A First Look at Zoombombing
Chen Ling, Utkucan Balcı, Jeremy Blackburn, Gianluca Stringhini
http://arxiv.org/abs/2009.03822v1
• [cs.CY]A Robotic Positive Psychology Coach to Improve College Students’ Wellbeing
Sooyeon Jeong, Sharifa Alghowinem, Laura Aymerich-Franch, Kika Arias, Agata Lapedriza, Rosalind Picard, Hae Won Park, Cynthia Breazeal
http://arxiv.org/abs/2009.03829v1
• [cs.CY]Black Lives Matter discourse on US social media during COVID: polarised positions enacted in a new event
Gillian Bolsover
http://arxiv.org/abs/2009.03619v1
• [cs.CY]Energy Expenditure Estimation Through Daily Activity Recognition Using a Smart-phone
Maxime De Bois, Hamdi Amroun, Mehdi Ammi
http://arxiv.org/abs/2009.03681v1
• [cs.CY]Procedural Generation of STEM Quizzes
Carlos Andujar
http://arxiv.org/abs/2009.03868v1
• [cs.DB]Leam: An Interactive System for In-situ Visual Text Analysis
Sajjadur Rahman, Peter Griggs, Çağatay Demiralp
http://arxiv.org/abs/2009.03520v1
• [cs.DC]A Virtual Frame Buffer Abstraction for Parallel Rendering of Large Tiled Display Walls
Mengjiao Han, Ingo Wald, Will Usher, Nate Morrical, Aaron Knoll, Valerio Pascucci, Chris R. Johnson
http://arxiv.org/abs/2009.03368v1
• [cs.DC]Asynchronous Runtime with Distributed Manager for Task-based Programming Models
Jaume Bosch, Carlos Álvarez, Daniel Jiménez-González, Xavier Martorell, Eduard Ayguadé
http://arxiv.org/abs/2009.03066v2
• [cs.DC]Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions
Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, Rajkumar Buyya
http://arxiv.org/abs/2009.03598v1
• [cs.DC]Self-Stabilizing Construction of a Minimal Weakly $\mathcal{ST}$-Reachable Directed Acyclic Graph
Junya Nakamura, Masahiro Shibata, Yuichi Sudo, Yonghwan Kim
http://arxiv.org/abs/2009.03585v1
• [cs.DS]A Fast Randomized Algorithm for Finding the Maximal Common Subsequences
Jin Cao, Dewei Zhong
http://arxiv.org/abs/2009.03352v1
• [cs.DS]A Lightweight Algorithm to Uncover Deep Relationships in Data Tables
Jin Cao, Yibo Zhao, Linjun Zhang, Jason Li
http://arxiv.org/abs/2009.03358v1
• [cs.GR]Computational Design of Cold Bent Glass Façades
Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann, Bernd Bickel
http://arxiv.org/abs/2009.03667v1
• [cs.IR]IAI MovieBot: A Conversational Movie Recommender System
Javeria Habib, Shuo Zhang, Krisztian Balog
http://arxiv.org/abs/2009.03668v1
• [cs.IR]Proximity full-text searches of frequently occurring words with a response time guarantee
Alexander B. Veretennikov
http://arxiv.org/abs/2009.03679v1
• [cs.IT]Composite Signalling for DFRC: Dedicated Probing Signal or Not?
Li Chen, Fan Liu, Jun Liu, Christos Masouros
http://arxiv.org/abs/2009.03528v1
• [cs.IT]Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery (iTWIST’20)
Martin Genzel, Maximilian März, Robert Seidel
http://arxiv.org/abs/2009.03694v1
• [cs.IT]Joint Beam Training and Positioning For Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications
Wei Wang, Wei Zhang
http://arxiv.org/abs/2009.03536v1
• [cs.IT]Primal-dual splitting scheme with backtracking for handling with epigraphic constraint and sparse analysis regularization
Laurence Denneulin, Nelly Pustelnik, Maud Langlois, Ignace Loris, Éric Thiébaut
http://arxiv.org/abs/2009.03576v1
• [cs.IT]Second-Order Asymptotically Optimal Universal Outlying Sequence Detection with Reject Option
Lin Zhou, Yun Wei, Alfred Hero
http://arxiv.org/abs/2009.03505v1
• [cs.IT]Tight List-Sizes for Oblivious AVCs under Constraints
Yihan Zhang, Sidharth Jaggi, Amitalok J. Budkuley
http://arxiv.org/abs/2009.03788v1
• [cs.LG]A Real-time Contribution Measurement Method for Participants in Federated Learning
Boyi Liu, Bingjie Yan, Yize Zhou, Jun Wang, Li Liu, Yuhan Zhang, Xiaolan Nie
http://arxiv.org/abs/2009.03510v1
• [cs.LG]Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks
Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev
http://arxiv.org/abs/2009.03455v1
• [cs.LG]Adversarial Attack on Large Scale Graph
Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng
http://arxiv.org/abs/2009.03488v1
• [cs.LG]Approximate Multiplication of Sparse Matrices with Limited Space
Yuanyu Wan, Lijun Zhang
http://arxiv.org/abs/2009.03527v1
• [cs.LG]Deep Active Inference for Partially Observable MDPs
Otto van der Himst, Pablo Lanillos
http://arxiv.org/abs/2009.03622v1
• [cs.LG]Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment
Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin
http://arxiv.org/abs/2009.03349v1
• [cs.LG]Discovering Reliable Causal Rules
Kailash Budhathoki, Mario Boley, Jilles Vreeken
http://arxiv.org/abs/2009.02728v2
• [cs.LG]Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior
Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang
http://arxiv.org/abs/2009.03714v1
• [cs.LG]Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression
Eunho Koo, Hyungjun Kim
http://arxiv.org/abs/2009.03534v1
• [cs.LG]Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People
Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi
http://arxiv.org/abs/2009.03732v1
• [cs.LG]Generative Language Modeling for Automated Theorem Proving
Stanislas Polu, Ilya Sutskever
http://arxiv.org/abs/2009.03393v1
• [cs.LG]Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
http://arxiv.org/abs/2009.03717v1
• [cs.LG]High-throughput relation extraction algorithm development associating knowledge articles and electronic health records
Yucong Lin, Keming Lu, Yulin Chen, Chuan Hong, Sheng Yu
http://arxiv.org/abs/2009.03506v1
• [cs.LG]Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption
Takumi Ishiyama, Takuya Suzuki, Hayato Yamana
http://arxiv.org/abs/2009.03727v1
• [cs.LG]Hyperparameter Optimization via Sequential Uniform Designs
Zebin Yang, Aijun Zhang
http://arxiv.org/abs/2009.03586v1
• [cs.LG]Imbalanced Continual Learning with Partitioning Reservoir Sampling
Chris Dongjoo Kim, Jinseo Jeong, Gunhee Kim
http://arxiv.org/abs/2009.03632v1
• [cs.LG]Large-scale Neural Solvers for Partial Differential Equations
Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann
http://arxiv.org/abs/2009.03730v1
• [cs.LG]Learning Interpretable Feature Context Effects in Discrete Choice
Kiran Tomlinson, Austin R. Benson
http://arxiv.org/abs/2009.03417v1
• [cs.LG]Learning more expressive joint distributions in multimodal variational methods
Sasho Nedelkoski, Mihail Bogojeski, Odej Kao
http://arxiv.org/abs/2009.03651v1
• [cs.LG]Low-Rank Training of Deep Neural Networks for Emerging Memory Technology
Albert Gural, Phillip Nadeau, Mehul Tikekar, Boris Murmann
http://arxiv.org/abs/2009.03887v1
• [cs.LG]Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care
Joshua D. Cardosi, Herman Shen, Jonathan I. Groner, Megan Armstrong, Henry Xiang
http://arxiv.org/abs/2009.03873v1
• [cs.LG]Masked Label Prediction: Unified Massage Passing Model for Semi-Supervised Classification
Yunsheng Shi, Zhengjie Huang, Shikun Feng, Yu Sun
http://arxiv.org/abs/2009.03509v1
• [cs.LG]Multivariable times series classification through an interpretable representation
Francisco J. Baldán, José M. Benítez
http://arxiv.org/abs/2009.03614v1
• [cs.LG]On Training Neural Networks with Mixed Integer Programming
Tómas Thorbjarnarson, Neil Yorke-Smith
http://arxiv.org/abs/2009.03825v1
• [cs.LG]PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks
Qing Ye, Yuxuan Han, Yanan sun, JIancheng Lv
http://arxiv.org/abs/2009.03816v1
• [cs.LG]Refined approachability algorithms and application to regret minimization with global costs
Joon Kwon
http://arxiv.org/abs/2009.03831v1
• [cs.LG]Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks
Mohammed Sharafath Abdul Hameed, Andreas Schwung
http://arxiv.org/abs/2009.03836v1
• [cs.LG]Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
http://arxiv.org/abs/2009.03543v1
• [cs.LG]Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin
http://arxiv.org/abs/2009.03376v1
• [cs.LG]Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning
Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi
http://arxiv.org/abs/2009.02909v2
• [cs.LG]Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting
Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev
http://arxiv.org/abs/2009.03661v1
• [cs.LG]Trajectory Based Podcast Recommendation
Greg Benton, Ghazal Fazelnia, Alice Wang, Ben Carterette
http://arxiv.org/abs/2009.03859v1
• [cs.NE]Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search
Hu Zhang, Peng Yang, Yanglong Yu, Mingjia Li, Ke Tang
http://arxiv.org/abs/2009.03603v1
• [cs.NE]GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning
Lyes Khacef, Vincent Gripon, Benoit Miramond
http://arxiv.org/abs/2009.03665v1
• [cs.NE]On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs
Mehul Rastogi, Sen Lu, Abhronil Sengupta
http://arxiv.org/abs/2009.03473v1
• [cs.NE]TanhSoft — a family of activation functions combining Tanh and Softplus
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
http://arxiv.org/abs/2009.03863v1
• [cs.NI]5G NR-V2X: Towards Connected and Cooperative Autonomous Driving
Hamidreza Bagheri, Md Noor-A-Rahim, Zilong Liu, Haeyoung Lee, Dirk Pesch, Klaus Moessner, Pei Xiao
http://arxiv.org/abs/2009.03638v1
• [cs.NI]Cross-layer Band Selection and Routing Design for Diverse Band-aware DSA Networks
Pratheek S. Upadhyaya, Vijay K. Shah, Jeffrey H. Reed
http://arxiv.org/abs/2009.03821v1
• [cs.NI]LACO: A Latency-Driven Network Slicing Orchestration in Beyond-5G Networks
Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Hans D. Schotten, Xavier Costa-Perez
http://arxiv.org/abs/2009.03771v1
• [cs.RO]A Deep Learning-Based Autonomous RobotManipulator for Sorting Application
Hoang-Dung Bui, Hai Nguyen, Hung Manh La, Shuai Li
http://arxiv.org/abs/2009.03565v1
• [cs.RO]Adapted Pepper
Maxime Caniot, Vincent Bonnet, Maxime Busy, Thierry Labaye, Michel Besombes, Sebastien Courtois, Edouard Lagrue
http://arxiv.org/abs/2009.03648v1
• [cs.RO]Comparison of camera-based and 3D LiDAR-based loop closures across weather conditions
Kamil Żywanowski, Adam Banaszczyk, Michał Nowicki
http://arxiv.org/abs/2009.03705v1
• [cs.RO]Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle Safety
Sanjay Seshan
http://arxiv.org/abs/2009.03458v1
• [cs.RO]Multi-Agent Collaboration for Building Construction
Kumar Ankit, Lima Agnel Tony, Shuvrangshu Jana, Debasish Ghose
http://arxiv.org/abs/2009.03584v1
• [cs.RO]Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles
Junhong Xu, Kai Yin, Lantao Liu
http://arxiv.org/abs/2009.03733v1
• [cs.RO]Safe Online Learning Tracking Control for Quadrotors under Wind Disturbances
Lei Zheng, Rui Yang, Jiesen Pan, Hui Cheng, Haifeng Hu
http://arxiv.org/abs/2009.01992v2
• [cs.RO]Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation
Brandon Wagstaff, Jonathan Kelly
http://arxiv.org/abs/2009.03787v1
• [cs.RO]Sensors, Safety Models and A System-Level Approach to Safe and Scalable Automated Vehicles
Jack Weast
http://arxiv.org/abs/2009.03301v1
• [cs.SI]A Longitudinal Analysis of a Social Network of Intellectual History
Cindarella Petz, Raji Ghawi, Jürgen Pfeffer
http://arxiv.org/abs/2009.03604v1
• [cs.SI]HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process
Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
http://arxiv.org/abs/2009.02548v2
• [cs.SI]QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection
Tian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang, Binxing Fang
http://arxiv.org/abs/2009.03823v1
• [eess.IV]Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method
Michal Byra, Grzegorz Styczynski, Cezary Szmigielski, Piotr Kalinowski, Lukasz Michalowski, Rafal Paluszkiewicz, Bogna Ziarkiewicz-Wroblewska, Krzysztof Zieniewicz, Andrzej Nowicki
http://arxiv.org/abs/2009.03364v1
• [eess.IV]Convolution Neural Networks for diagnosing colon and lung cancer histopathological images
Sanidhya Mangal, Aanchal Chaurasia, Ayush Khajanchi
http://arxiv.org/abs/2009.03878v1
• [eess.IV]Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
Rao Muhammad Umer, Christian Micheloni
http://arxiv.org/abs/2009.03693v1
• [eess.IV]Going deeper with brain morphometry using neural networks
Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado
http://arxiv.org/abs/2009.03303v1
• [eess.IV]Unsupervised Change Detection in Satellite Images with Generative Adversarial Network
Caijun Ren, Xiangyu Wang, Jian Gao, Huanhuan Chen
http://arxiv.org/abs/2009.03630v1
• [eess.SP]An IMM-based Decentralized Cooperative Localization with LoS and NLoS UWB Inter-agent Ranging
Jianan Zhu, Solmaz S. Kia
http://arxiv.org/abs/2009.03538v1
• [eess.SP]ECG Beats Fast Classification Base on Sparse Dictionaries
Nanyu Li, Yujuan Si, Di Wang, Tong Liu, Jinrun Yu
http://arxiv.org/abs/2009.03792v1
• [eess.SP]Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People
Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi
http://arxiv.org/abs/2009.03722v1
• [eess.SY]$\mathcal{RL}_1$-$\mathcal{GP}$: Safe Simultaneous Learning and Control
Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos Theodorou
http://arxiv.org/abs/2009.03864v1
• [math.NA]The Seven-League Scheme: Deep learning for large time step Monte Carlo simulations of stochastic differential equations
Shuaiqiang Liu, Lech A. Grzelak, Cornelis W. Oosterlee
http://arxiv.org/abs/2009.03202v2
• [math.OC]Alternating Direction Method of Multipliers for Quantization
Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn
http://arxiv.org/abs/2009.03482v1
• [math.OC]Attack-resilient observer pruning for path-tracking control of Wheeled Mobile Robot
Yu Zheng, Olugbenga Moses Anubi
http://arxiv.org/abs/2009.03414v1
• [math.OC]Dual optimal design and the Christoffel-Darboux polynomial
Yohann de Castro, Fabrice Gamboa, Didier Henrion, Jean Lasserre
http://arxiv.org/abs/2009.03546v1
• [math.ST]Controlled Drift Estimation in the Mixed Fractional Ornestein-Uhlenbeck Process
Chunhao Cai, Min Zhang
http://arxiv.org/abs/2009.03757v1
• [math.ST]Learning the smoothness of noisy curves with application to online curve estimation
Steven Golovkine, Nicolas Klutchnikoff, Valentin Patilea
http://arxiv.org/abs/2009.03652v1
• [math.ST]Modified estimator for the proportion of true null hypotheses under discrete setup with proven FDR control by the adaptive Benjamini-Hochberg procedure
Aniket Biswas, Gaurangadeb Chattopadhyay
http://arxiv.org/abs/2009.03803v1
• [math.ST]Permutation Testing for Dependence in Time Series
Joseph P. Romano, Marius A. Tirlea
http://arxiv.org/abs/2009.03170v2
• [math.ST]Qualitative Robust Bayesianism and the Likelihood Principle
Conor Mayo-Wilson, Aditya Saraf
http://arxiv.org/abs/2009.03879v1
• [math.ST]Shannon entropy estimation for linear processes
Timothy Fortune, Hailin Sang
http://arxiv.org/abs/2009.03472v1
• [math.ST]Universal Inference with Composite Likelihoods
Hien Duy Nguyen
http://arxiv.org/abs/2009.00848v2
• [physics.comp-ph]Physics-informed Gaussian Process for Online Optimization of Particle Accelerators
Adi Hanuka, X. Huang, J. Shtalenkova, D. Kennedy, A. Edelen, V. R. Lalchand, D. Ratner, J. Duris
http://arxiv.org/abs/2009.03566v1
• [physics.soc-ph]The impact of COVID-19 on relative changes in aggregated mobility using mobile-phone data
Georg Heiler, Allan Hanbury, Peter Filzmoser
http://arxiv.org/abs/2009.03798v1
• [q-bio.NC]Nonlinear computations in spiking neural networks through multiplicative synapses
Michele Nardin, James W Phillips, William F Podlaski, Sander W Keemink
http://arxiv.org/abs/2009.03857v1
• [q-bio.PE]Covid-19 Belgium: Extended SEIR-QD model with nursery homes and long-term scenarios-based forecasts from school opening
Nicolas Franco
http://arxiv.org/abs/2009.03450v1
• [q-fin.PM]Topological Data Analysis for Portfolio Management of Cryptocurrencies
Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev
http://arxiv.org/abs/2009.03362v1
• [stat.AP]Can we trust the standardized mortality ratio? A formal analysis and evaluation based on axiomatic requirements
Martin Roessler, Jochen Schmitt, Olaf Schoffer
http://arxiv.org/abs/2009.03650v1
• [stat.AP]Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms
Chaouki Ben Issaid, Mohamed-Slim Alouini, and Raul Tempone
http://arxiv.org/abs/2009.03677v1
• [stat.AP]Graph Neural Networks for Model Recommendation using Time Series Data
Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev
http://arxiv.org/abs/2009.03474v1
• [stat.AP]Improving Crime Count Forecasts Using Twitter and Taxi Data
Lara Vomfell, Wolfgang Karl Härdle, Stefan Lessmann
http://arxiv.org/abs/2009.03703v1
• [stat.AP]Modeling and Analysis of Dynamic Charging for EVs: A Stochastic Geometry Approach
Duc Minh Nguyen, Mustafa A. Kishk, Mohamed-Slim Alouini
http://arxiv.org/abs/2009.03726v1
• [stat.AP]Simulating normalised constants with referenced thermodynamic integration: application to COVID-19 model selection
Iwona Hawryluk, Swapnil Mishra, Seth Flaxman, Samir Bhatt, Thomas A. Mellan
http://arxiv.org/abs/2009.03851v1
• [stat.AP]Spatial Bayesian Hierarchical Modelling with Integrated Nested Laplace Approximation
Nicoletta D’Angelo, Antonino Abbruzzo, Giada Adelfio
http://arxiv.org/abs/2009.03712v1
• [stat.CO]Accelerating sequential Monte Carlo with surrogate likelihoods
Joshua J Bon, Anthony Lee, Christopher Drovandi
http://arxiv.org/abs/2009.03699v1
• [stat.ME]Beyond unidimensional poverty analysis using distributional copula models for mixed ordered-continuous outcomes
Maike Hohberg, Francesco Donat, Giampiero Marra, Thomas Kneib
http://arxiv.org/abs/2009.03646v1
• [stat.ME]Designing Transportable Experiments
My Phan, David Arbour, Drew Dimmery, Anup B. Rao
http://arxiv.org/abs/2009.03860v1
• [stat.ME]Ensemble Riemannian Data Assimilation over the Wasserstein Space
Sagar K. Tamang, Ardeshir Ebtehaj, Peter J. Van Leeuwen, Dongmian Zou, Gilad Lerman
http://arxiv.org/abs/2009.03443v1
• [stat.ME]Survival Analysis via Ordinary Differential Equations
Weijing Tang, Kevin He, Gongjun Xu, Ji Zhu
http://arxiv.org/abs/2009.03449v1
• [stat.ML]Non-exponentially weighted aggregation: regret bounds for unbounded loss functions
Pierre Alquier
http://arxiv.org/abs/2009.03017v2
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