cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.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.NI - 网络和互联网体系结构 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.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.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-bio.TO - 组织和器官 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal
• [cs.AI]A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
• [cs.AI]AGI Agent Safety by Iteratively Improving the Utility Function
• [cs.AI]Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation
• [cs.AI]Current Advancements on Autonomous Mission Planning and Management Systems: an AUV and UAV perspective
• [cs.AI]Half-checking propagators
• [cs.AI]Impact of Legal Requirements on Explainability in Machine Learning
• [cs.AI]Intelligent Warehouse Allocator for Optimal Regional Utilization
• [cs.AI]MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System
• [cs.AI]Multi-Agent Routing Value Iteration Network
• [cs.AI]Program Synthesis with Pragmatic Communication
• [cs.AI]Solving the Clustered Traveling Salesman Problem via TSP methods
• [cs.CL]Advances of Transformer-Based Models for News Headline Generation
• [cs.CL]Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling
• [cs.CL]Learn to Use Future Information in Simultaneous Translation
• [cs.CL]Pragmatic information in translation: a corpus-based study of tense and mood in English and German
• [cs.CL]SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics
• [cs.CL]Topic Modeling on User Stories using Word Mover’s Distance
• [cs.CL]What Can We Learn From Almost a Decade of Food Tweets
• [cs.CR]”It’s Not Something We Have Talked to Our Team About”: Results From a Preliminary Investigation of Cybersecurity Challenges in Denmark
• [cs.CR]From Task Tuning to Task Assignment in Privacy-Preserving Crowdsourcing Platforms
• [cs.CR]Quantum Secured Internet Transport
• [cs.CR]Security in Wireless Sensor Networks: Issues and Challenges
• [cs.CR]Towards Tracking Data Flows in Cloud Architectures
• [cs.CV]$n$-Reference Transfer Learning for Saliency Prediction
• [cs.CV]A Benchmark for Inpainting of Clothing Images with Irregular Holes
• [cs.CV]AI Assisted Apparel Design
• [cs.CV]AViD Dataset: Anonymized Videos from Diverse Countries
• [cs.CV]Affine Non-negative Collaborative Representation Based Pattern Classification
• [cs.CV]Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels
• [cs.CV]Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data: A Machine Learning Approach
• [cs.CV]Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping
• [cs.CV]Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation
• [cs.CV]Continual Adaptation for Deep Stereo
• [cs.CV]DCANet: Learning Connected Attentions for Convolutional Neural Networks
• [cs.CV]Data-Efficient Ranking Distillation for Image Retrieval
• [cs.CV]Distillation Guided Residual Learning for Binary Convolutional Neural Networks
• [cs.CV]FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection
• [cs.CV]Geometric Style Transfer
• [cs.CV]Impression Space from Deep Template Network
• [cs.CV]Learnable Hollow Kernels for Anatomical Segmentation
• [cs.CV]Learning Representations that Support Extrapolation
• [cs.CV]Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection
• [cs.CV]Multimodal price prediction
• [cs.CV]Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
• [cs.CV]Progressive Point Cloud Deconvolution Generation Network
• [cs.CV]STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
• [cs.CV]Scientific Discovery by Generating Counterfactuals using Image Translation
• [cs.CV]SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
• [cs.CV]Using Machine Learning to Detect Ghost Images in Automotive Radar
• [cs.CV]VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users
• [cs.CV]Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
• [cs.CY]Algorithmic Fairness in Education
• [cs.CY]Machine Learning Explainability for External Stakeholders
• [cs.CY]On the Social and Technical Challenges of Web Search Autosuggestion Moderation
• [cs.CY]Reusable Learning Objects: An Agile Approach
• [cs.CY]Senior Living Communities: Made Safer by AI
• [cs.DC]On Distributed Listing of Cliques
• [cs.DC]Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU
• [cs.DC]Self-healing Dilemmas in Distributed Systems: Fault-correction vs. Fault-tolerance
• [cs.GT]Multi-objective Clustering Algorithm with Parallel Games
• [cs.HC]How An Automated Gesture Imitation Game Can Improve Social Interactions With Teenagers With ASD
• [cs.IR]BISON:BM25-weighted Self-Attention Framework for Multi-Fields Document Search
• [cs.IT]A tight uniform continuity bound for the Arimoto-Rényi conditional entropy and its extension to classical-quantum states
• [cs.IT]Accurate Closed-Form Approximations to Channel Distributions of RIS-Aided Wireless Systems
• [cs.IT]Age-Limited Capacity of Massive MIMO
• [cs.IT]An Upper Bound on the Error Induced by Saddlepoint Approximations — Applications to Information Theory
• [cs.IT]Battery Recharging Time Models for Reconfigurable Intelligent Surface-Assisted Wireless Power Transfer Systems
• [cs.IT]Convolutional Polar Coded Modulation
• [cs.IT]Design and Practical Decoding of Full-Diversity Construction A Lattices for Block-Fading Channels
• [cs.IT]Design of Puncturing for Length-Compatible Polar Codes Using Differential Evolution
• [cs.IT]List Viterbi Decoding of PAC Codes
• [cs.IT]Mechanisms for Hiding Sensitive Genotypes with Information-Theoretic Privacy
• [cs.IT]Power Minimization for Age of Information Constrained Dynamic Control in Wireless Sensor Networks
• [cs.IT]Third-Order Asymptotics of Variable-Length Compression Allowing Errors
• [cs.LG]A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
• [cs.LG]AdaScale SGD: A User-Friendly Algorithm for Distributed Training
• [cs.LG]Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
• [cs.LG]Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
• [cs.LG]Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
• [cs.LG]Boundary thickness and robustness in learning models
• [cs.LG]Characteristics of Monte Carlo Dropout in Wide Neural Networks
• [cs.LG]Detecting Malicious Accounts in Permissionless Blockchains using Temporal Graph Properties
• [cs.LG]Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images
• [cs.LG]Differentially Private Simple Linear Regression
• [cs.LG]EVO-RL: Evolutionary-Driven Reinforcement Learning
• [cs.LG]ExpertNet: Adversarial Learning and Recovery Against Noisy Labels
• [cs.LG]Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games
• [cs.LG]Generating Adversarial Inputs Using A Black-box Differential Technique
• [cs.LG]Improved Analysis of UCRL2 with Empirical Bernstein Inequality
• [cs.LG]Improving Adversarial Robustness by Enforcing Local and Global Compactness
• [cs.LG]Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing
• [cs.LG]Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference
• [cs.LG]Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss
• [cs.LG]Learning to Play Sequential Games versus Unknown Opponents
• [cs.LG]Learning to plan with uncertain topological maps
• [cs.LG]Multi-future Merchant Transaction Prediction
• [cs.LG]New Oracle-Efficient Algorithms for Private Synthetic Data Release
• [cs.LG]Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing
• [cs.LG]Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning
• [cs.LG]Predicting Illegal Fishing on the Patagonia Shelf from Oceanographic Seascapes
• [cs.LG]Price Optimization in Fashion E-commerce
• [cs.LG]Product age based demand forecast model for fashion retail
• [cs.LG]Reactive Soft Prototype Computing for Concept Drift Streams
• [cs.LG]Representations for Stable Off-Policy Reinforcement Learning
• [cs.LG]Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks
• [cs.LG]Robust Classification under Class-Dependent Domain Shift
• [cs.LG]SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
• [cs.LG]Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization
• [cs.LG]Self-Reflective Variational Autoencoder
• [cs.LG]Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products
• [cs.LG]TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification
• [cs.LG]The Trade-Offs of Private Prediction
• [cs.NE]Artificial Neural Network Approach for the Identification of Clove Buds Origin Based on Metabolites Composition
• [cs.NE]Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters
• [cs.NI]Prediction of Traffic Flow via Connected Vehicles
• [cs.SD]Conditioned Time-Dilated Convolutions for Sound Event Detection
• [cs.SE]Neural Knowledge Extraction From Cloud Service Incidents
• [cs.SI]Emergence of Hierarchy in Networked Endorsement Dynamics
• [cs.SI]Preventing active re-identification attacks on social graphs via sybil subgraph obfuscation
• [eess.AS]ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
• [eess.IV]A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
• [eess.IV]Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks
• [eess.IV]Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
• [eess.IV]Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
• [eess.IV]Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision
• [eess.IV]Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma
• [eess.IV]Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging
• [eess.IV]Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques
• [eess.IV]OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN
• [eess.IV]ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
• [eess.IV]Rain Streak Removal in a Video to Improve Visibility by TAWL Algorithm
• [eess.IV]Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
• [eess.IV]SIMBA: Specific Identity Markers for Bone Age Assessment
• [eess.SP]Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems
• [eess.SP]Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers
• [eess.SY]Approximate Time-Optimal Trajectories for Damped Double Integrator in 2D Obstacle Environments under Bounded Inputs
• [math.NA]Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions
• [math.OC]A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
• [math.PR]High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin
• [math.ST]A concise modification of Marshall-Olkin family of distributions for reliability analysis
• [math.ST]Principal Loading Analysis
• [physics.chem-ph]Machine learning for electronically excited states of molecules
• [physics.comp-ph]Deep Surrogate Models for Multi-dimensional Regression of Reactor Power
• [physics.soc-ph]A message-passing approach to epidemic tracing and mitigation with apps
• [physics.soc-ph]Fixed-time descriptive statistics underestimate extremes of epidemic curve ensembles
• [physics.soc-ph]Games of Social Distancing during an Epidemic: Local vs Statistical Information
• [physics.soc-ph]Percolation framework reveals limits of privacy in Conspiracy, Dark Web, and Blockchain networks
• [q-bio.NC]Biological credit assignment through dynamic inversion of feedforward networks
• [q-bio.PE]Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ$α$ Model
• [q-bio.TO]Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves
• [stat.AP]A Causal Inference Approach to Measure the Vulnerability of Urban Metro Systems
• [stat.AP]ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes
• [stat.AP]Evaluating Fairness Using Permutation Tests
• [stat.AP]Space-Time Smoothing of Demographic and Health Indicators using the R Package SUMMER
• [stat.AP]To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
• [stat.ME]Analyzing the Effects of Observation Function Selection in Ensemble Kalman Filtering for Epidemic Models
• [stat.ME]Community Network Auto-Regression for High-Dimensional Time Series
• [stat.ME]High heritability does not imply accurate prediction under the small additive effects hypothesis
• [stat.ME]Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
• [stat.ML]Generalized Maximum Entropy for Supervised Classification
• [stat.ML]Next Waves in Veridical Network Embedding
• [stat.ML]Robust Geodesic Regression
• [stat.ML]Variational Inference with Continuously-Indexed Normalizing Flows
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• [cs.AI]A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal
Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
http://arxiv.org/abs/2007.05516v1
• [cs.AI]A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
Xuan Di, Rongye Shi
http://arxiv.org/abs/2007.05156v1
• [cs.AI]AGI Agent Safety by Iteratively Improving the Utility Function
Koen Holtman
http://arxiv.org/abs/2007.05411v1
• [cs.AI]Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation
Guilherme Paulino-Passos, Francesca Toni
http://arxiv.org/abs/2007.05284v1
• [cs.AI]Current Advancements on Autonomous Mission Planning and Management Systems: an AUV and UAV perspective
Adham Atyabi, Somaiyeh MahmoudZadeh, Samia Nefti-Meziani
http://arxiv.org/abs/2007.05179v1
• [cs.AI]Half-checking propagators
Mikael Zayenz Lagerkvist, Magnus Rattfeldt
http://arxiv.org/abs/2007.05423v1
• [cs.AI]Impact of Legal Requirements on Explainability in Machine Learning
Adrien Bibal, Michael Lognoul, Alexandre de Streel, Benoît Frénay
http://arxiv.org/abs/2007.05479v1
• [cs.AI]Intelligent Warehouse Allocator for Optimal Regional Utilization
Girish Sathyanarayana, Arun Patro
http://arxiv.org/abs/2007.05081v1
• [cs.AI]MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System
Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang
http://arxiv.org/abs/2007.05402v1
• [cs.AI]Multi-Agent Routing Value Iteration Network
Quinlan Sykora, Mengye Ren, Raquel Urtasun
http://arxiv.org/abs/2007.05096v1
• [cs.AI]Program Synthesis with Pragmatic Communication
Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama
http://arxiv.org/abs/2007.05060v1
• [cs.AI]Solving the Clustered Traveling Salesman Problem via TSP methods
Yongliang Lu, Jin-Kao Hao, Qinghua Wu
http://arxiv.org/abs/2007.05254v1
• [cs.CL]Advances of Transformer-Based Models for News Headline Generation
Alexey Bukhtiyarov, Ilya Gusev
http://arxiv.org/abs/2007.05044v1
• [cs.CL]Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling
Leonard K. M. Poon, Nevin L. Zhang, Haoran Xie, Gary Cheng
http://arxiv.org/abs/2007.05163v1
• [cs.CL]Learn to Use Future Information in Simultaneous Translation
Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu
http://arxiv.org/abs/2007.05290v1
• [cs.CL]Pragmatic information in translation: a corpus-based study of tense and mood in English and German
Anita Ramm, Ekaterina Lapshinova-Koltunski, Alexander Fraser
http://arxiv.org/abs/2007.05234v1
• [cs.CL]SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics
Daniel Deutsch, Dan Roth
http://arxiv.org/abs/2007.05374v1
• [cs.CL]Topic Modeling on User Stories using Word Mover’s Distance
Kim Julian Gülle, Nicholas Ford, Patrick Ebel, Florian Brokhausen, Andreas Vogelsang
http://arxiv.org/abs/2007.05302v1
• [cs.CL]What Can We Learn From Almost a Decade of Food Tweets
Uga Sproģis, Matīss Rikters
http://arxiv.org/abs/2007.05194v1
• [cs.CR]“It’s Not Something We Have Talked to Our Team About”: Results From a Preliminary Investigation of Cybersecurity Challenges in Denmark
Camilla Nadja Fleron, Jonas Kofod Jørgensen, Oksana Kulyk, Elda Paja
http://arxiv.org/abs/2007.05259v1
• [cs.CR]From Task Tuning to Task Assignment in Privacy-Preserving Crowdsourcing Platforms
Joris Duguépéroux, Tristan Allard
http://arxiv.org/abs/2007.05373v1
• [cs.CR]Quantum Secured Internet Transport
Bernardo Huberman, Bob Lund, Jing Wang
http://arxiv.org/abs/2007.05522v1
• [cs.CR]Security in Wireless Sensor Networks: Issues and Challenges
Mahsa Teymourzadeh, Roshanak Vahed, Soulmaz Alibeygi, Narges Dastanpour
http://arxiv.org/abs/2007.05111v1
• [cs.CR]Towards Tracking Data Flows in Cloud Architectures
Immanuel Kunz, Valentina Casola, Angelika Schneider, Christian Banse, Julian Schütte
http://arxiv.org/abs/2007.05212v1
• [cs.CV]$n$-Reference Transfer Learning for Saliency Prediction
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
http://arxiv.org/abs/2007.05104v1
• [cs.CV]A Benchmark for Inpainting of Clothing Images with Irregular Holes
Furkan Kınlı, Barış Özcan, Furkan Kıraç
http://arxiv.org/abs/2007.05080v1
• [cs.CV]AI Assisted Apparel Design
Alpana Dubey, Nitish Bhardwaj, Kumar Abhinav, Suma Mani Kuriakose, Sakshi Jain, Veenu Arora
http://arxiv.org/abs/2007.04950v2
• [cs.CV]AViD Dataset: Anonymized Videos from Diverse Countries
AJ Piergiovanni, Michael S. Ryoo
http://arxiv.org/abs/2007.05515v1
• [cs.CV]Affine Non-negative Collaborative Representation Based Pattern Classification
He-Feng Yin, Xiao-Jun Wu, Zhen-Hua Feng, Josef Kittler
http://arxiv.org/abs/2007.05175v1
• [cs.CV]Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels
Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas Maier, Robert Klopfleisch, Marc Aubreville
http://arxiv.org/abs/2007.05351v1
• [cs.CV]Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data: A Machine Learning Approach
Sanaz Aliari, Kaveh F. Sadabadi
http://arxiv.org/abs/2007.05079v1
• [cs.CV]Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping
Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo Nebot
http://arxiv.org/abs/2007.05490v1
• [cs.CV]Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation
Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang
http://arxiv.org/abs/2007.05393v1
• [cs.CV]Continual Adaptation for Deep Stereo
Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
http://arxiv.org/abs/2007.05233v1
• [cs.CV]DCANet: Learning Connected Attentions for Convolutional Neural Networks
Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu
http://arxiv.org/abs/2007.05099v1
• [cs.CV]Data-Efficient Ranking Distillation for Image Retrieval
Zakaria Laskar, Juho Kannala
http://arxiv.org/abs/2007.05299v1
• [cs.CV]Distillation Guided Residual Learning for Binary Convolutional Neural Networks
Jianming Ye, Shiliang Zhang, Jingdong Wang
http://arxiv.org/abs/2007.05223v1
• [cs.CV]FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection
Xugong Qin, Yu Zhou, Dayan Wu, Yinliang Yue, Weiping Wang
http://arxiv.org/abs/2007.05113v1
• [cs.CV]Geometric Style Transfer
Xiao-Chang Liu, Xuan-Yi Li, Ming-Ming Cheng, Peter Hall
http://arxiv.org/abs/2007.05471v1
• [cs.CV]Impression Space from Deep Template Network
Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song
http://arxiv.org/abs/2007.05441v1
• [cs.CV]Learnable Hollow Kernels for Anatomical Segmentation
Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov
http://arxiv.org/abs/2007.05103v1
• [cs.CV]Learning Representations that Support Extrapolation
Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O’Reilly, Jonathan D. Cohen
http://arxiv.org/abs/2007.05059v1
• [cs.CV]Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection
Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou
http://arxiv.org/abs/2007.05225v1
• [cs.CV]Multimodal price prediction
Aidin Zehtab-Salmasi, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Saeideh Nabipour
http://arxiv.org/abs/2007.05056v1
• [cs.CV]Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu
http://arxiv.org/abs/2007.05146v1
• [cs.CV]Progressive Point Cloud Deconvolution Generation Network
Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang
http://arxiv.org/abs/2007.05361v1
• [cs.CV]STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
Pierre Godet, Alexandre Boulch, Aurélien Plyer, Guy Le Besnerais
http://arxiv.org/abs/2007.05481v1
• [cs.CV]Scientific Discovery by Generating Counterfactuals using Image Translation
Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Michael Brenner, Philip Nelson, Avinash V. Varadarajan
http://arxiv.org/abs/2007.05500v1
• [cs.CV]SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak
http://arxiv.org/abs/2007.05168v1
• [cs.CV]Using Machine Learning to Detect Ghost Images in Automotive Radar
Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
http://arxiv.org/abs/2007.05280v1
• [cs.CV]VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users
Adithya Ranga, Filippo Giruzzi, Jagdish Bhanushali, Emilie Wirbel, Patrick Pérez, Tuan-Hung Vu, Xavier Perrotton
http://arxiv.org/abs/2007.05397v1
• [cs.CV]Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas
http://arxiv.org/abs/2007.05448v1
• [cs.CY]Algorithmic Fairness in Education
René F. Kizilcec, Hansol Lee
http://arxiv.org/abs/2007.05443v1
• [cs.CY]Machine Learning Explainability for External Stakeholders
Umang Bhatt, McKane Andrus, Adrian Weller, Alice Xiang
http://arxiv.org/abs/2007.05408v1
• [cs.CY]On the Social and Technical Challenges of Web Search Autosuggestion Moderation
Timothy J. Hazen, Alexandra Olteanu, Gabriella Kazai, Fernando Diaz, Michael Golebiewski
http://arxiv.org/abs/2007.05039v1
• [cs.CY]Reusable Learning Objects: An Agile Approach
R. Pito Salas
http://arxiv.org/abs/2007.05075v1
• [cs.CY]Senior Living Communities: Made Safer by AI
Ashutosh Saxena, David Cheriton
http://arxiv.org/abs/2007.05129v1
• [cs.DC]On Distributed Listing of Cliques
Keren Censor-Hillel, François Le Gall, Dean Leitersdorf
http://arxiv.org/abs/2007.05316v1
• [cs.DC]Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU
Filippo Mantovani, Marta Garcia-Gasulla, José Gracia, Esteban Stafford, Fabio Banchelli, Marc Josep-Fabrego, Joel Criado-Ledesma, Mathias Nachtmann
http://arxiv.org/abs/2007.04868v2
• [cs.DC]Self-healing Dilemmas in Distributed Systems: Fault-correction vs. Fault-tolerance
Jovan Nikolic, Nursultan Jubatyrov, Evangelos Pournaras
http://arxiv.org/abs/2007.05261v1
• [cs.GT]Multi-objective Clustering Algorithm with Parallel Games
Dalila Kessira, Mohand-Tahar Kechadi
http://arxiv.org/abs/2007.05119v1
• [cs.HC]How An Automated Gesture Imitation Game Can Improve Social Interactions With Teenagers With ASD
Linda Nanan Vallée, Sao Mai Nguyen, Christophe Lohr, Ioannis Kanellos, Olivier Asseu
http://arxiv.org/abs/2007.05394v1
• [cs.IR]BISON:BM25-weighted Self-Attention Framework for Multi-Fields Document Search
Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Angen Luo, Yuxiang Luo
http://arxiv.org/abs/2007.05186v1
• [cs.IT]A tight uniform continuity bound for the Arimoto-Rényi conditional entropy and its extension to classical-quantum states
Michael G. Jabbour, Nilanjana Datta
http://arxiv.org/abs/2007.05049v1
• [cs.IT]Accurate Closed-Form Approximations to Channel Distributions of RIS-Aided Wireless Systems
Liang Yang, Fanxu Meng, Qingqing Wu, Daniel Benevides da Costa, Mohamed-Slim Alouini
http://arxiv.org/abs/2007.05221v1
• [cs.IT]Age-Limited Capacity of Massive MIMO
Bamelak Tadele, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani
http://arxiv.org/abs/2007.05071v1
• [cs.IT]An Upper Bound on the Error Induced by Saddlepoint Approximations — Applications to Information Theory
Dadja Anade, Jean-Marie Gorce, Philippe Mary, Samir Perlaza
http://arxiv.org/abs/2007.05319v1
• [cs.IT]Battery Recharging Time Models for Reconfigurable Intelligent Surface-Assisted Wireless Power Transfer Systems
Lina Mohjazi, Sami Muhaidat, Qammer H. Abbasi, Muhammad Ali Imran, Octavia A. Dobre, Marco Di Renzo
http://arxiv.org/abs/2007.05227v1
• [cs.IT]Convolutional Polar Coded Modulation
Kangjian Qin, Zhaoyang Zhang
http://arxiv.org/abs/2007.05272v1
• [cs.IT]Design and Practical Decoding of Full-Diversity Construction A Lattices for Block-Fading Channels
Hassan Khodaiemehr, Daniel Panario, Mohammad-Reza Sadeghi
http://arxiv.org/abs/2007.05370v1
• [cs.IT]Design of Puncturing for Length-Compatible Polar Codes Using Differential Evolution
Kuntal Deka, Sanjeev Sharma
http://arxiv.org/abs/2007.05012v1
• [cs.IT]List Viterbi Decoding of PAC Codes
Mohammad Rowshan, Emanuele Viterbo
http://arxiv.org/abs/2007.05353v1
• [cs.IT]Mechanisms for Hiding Sensitive Genotypes with Information-Theoretic Privacy
Fangwei Ye, Hyunghoon Cho, Salim El Rouayheb
http://arxiv.org/abs/2007.05139v1
• [cs.IT]Power Minimization for Age of Information Constrained Dynamic Control in Wireless Sensor Networks
Mohammad Moltafet, Markus Leinonen, Marian Codreanu, Nikolaos Pappas
http://arxiv.org/abs/2007.05364v1
• [cs.IT]Third-Order Asymptotics of Variable-Length Compression Allowing Errors
Yuta Sakai, Vincent Y. F. Tan
http://arxiv.org/abs/2007.05147v1
• [cs.LG]A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
http://arxiv.org/abs/2007.05078v1
• [cs.LG]AdaScale SGD: A User-Friendly Algorithm for Distributed Training
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
http://arxiv.org/abs/2007.05105v1
• [cs.LG]Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh K. Jeewajee, Leslie P. Kaelbling
http://arxiv.org/abs/2007.05033v1
• [cs.LG]Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos
http://arxiv.org/abs/2007.05084v1
• [cs.LG]Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
Shafi Goldwasser, Adam Tauman Kalai, Yael Tauman Kalai, Omar Montasser
http://arxiv.org/abs/2007.05145v1
• [cs.LG]Boundary thickness and robustness in learning models
Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
http://arxiv.org/abs/2007.05086v1
• [cs.LG]Characteristics of Monte Carlo Dropout in Wide Neural Networks
Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer
http://arxiv.org/abs/2007.05434v1
• [cs.LG]Detecting Malicious Accounts in Permissionless Blockchains using Temporal Graph Properties
Rachit Agarwal, Shikhar Barve, Sandeep Kuman Shukla
http://arxiv.org/abs/2007.05169v1
• [cs.LG]Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images
Joshua Bridge, Simon P. Harding, Yalin Zheng
http://arxiv.org/abs/2007.05120v1
• [cs.LG]Differentially Private Simple Linear Regression
Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam Smith, Salil Vadhan
http://arxiv.org/abs/2007.05157v1
• [cs.LG]EVO-RL: Evolutionary-Driven Reinforcement Learning
Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid
http://arxiv.org/abs/2007.04725v2
• [cs.LG]ExpertNet: Adversarial Learning and Recovery Against Noisy Labels
Amirmasoud Ghiassi, Robert Birk, Rui Han, Lydia Y. Chen
http://arxiv.org/abs/2007.05305v1
• [cs.LG]Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games
Amit Kadan, Hu Fu
http://arxiv.org/abs/2007.05477v1
• [cs.LG]Generating Adversarial Inputs Using A Black-box Differential Technique
João Batista Pereira Matos Juúnior, Lucas Carvalho Cordeiro, Marcelo d’Amorim, Xiaowei Huang
http://arxiv.org/abs/2007.05315v1
• [cs.LG]Improved Analysis of UCRL2 with Empirical Bernstein Inequality
Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
http://arxiv.org/abs/2007.05456v1
• [cs.LG]Improving Adversarial Robustness by Enforcing Local and Global Compactness
Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung
http://arxiv.org/abs/2007.05123v1
• [cs.LG]Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp
http://arxiv.org/abs/2007.05292v1
• [cs.LG]Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference
Hang Miao, Kui Zhao, Zhun Wang, Linbo Jiang, Quanhui Jia, Yanming Fang, Quan Yu
http://arxiv.org/abs/2007.05188v1
• [cs.LG]Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss
Kamil Nar, Yuan Xue, Andrew M. Dai
http://arxiv.org/abs/2007.05189v1
• [cs.LG]Learning to Play Sequential Games versus Unknown Opponents
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
http://arxiv.org/abs/2007.05271v1
• [cs.LG]Learning to plan with uncertain topological maps
Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf
http://arxiv.org/abs/2007.05270v1
• [cs.LG]Multi-future Merchant Transaction Prediction
Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang
http://arxiv.org/abs/2007.05303v1
• [cs.LG]New Oracle-Efficient Algorithms for Private Synthetic Data Release
Giuseppe Vietri, Grace Tian, Mark Bun, Thomas Steinke, Zhiwei Steven Wu
http://arxiv.org/abs/2007.05453v1
• [cs.LG]Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing
Begum Taskazan, Jiri Navratil, Matthew Arnold, Anupama Murthi, Ganesh Venkataraman, Benjamin Elder
http://arxiv.org/abs/2007.05499v1
• [cs.LG]Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
http://arxiv.org/abs/2007.05196v1
• [cs.LG]Predicting Illegal Fishing on the Patagonia Shelf from Oceanographic Seascapes
A. John Woodill, Maria Kavanaugh, Michael Harte, James R. Watson
http://arxiv.org/abs/2007.05470v1
• [cs.LG]Price Optimization in Fashion E-commerce
Sajan Kedia, Samyak Jain, Abhishek Sharma
http://arxiv.org/abs/2007.05216v1
• [cs.LG]Product age based demand forecast model for fashion retail
Rajesh Kumar Vashishtha, Vibhati Burman, Rajan Kumar, Srividhya Sethuraman, Abhinaya R Sekar, Sharadha Ramanan
http://arxiv.org/abs/2007.05278v1
• [cs.LG]Reactive Soft Prototype Computing for Concept Drift Streams
Christoph Raab, Moritz Heusinger, Frank-Michael Schleif
http://arxiv.org/abs/2007.05432v1
• [cs.LG]Representations for Stable Off-Policy Reinforcement Learning
Dibya Ghosh, Marc G. Bellemare
http://arxiv.org/abs/2007.05520v1
• [cs.LG]Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks
Shreyas Padhy, Zachary Nado, Jie Ren, Jeremiah Liu, Jasper Snoek, Balaji Lakshminarayanan
http://arxiv.org/abs/2007.05134v1
• [cs.LG]Robust Classification under Class-Dependent Domain Shift
Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
http://arxiv.org/abs/2007.05335v1
• [cs.LG]SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding
http://arxiv.org/abs/2007.05100v1
• [cs.LG]Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization
Yunho Jeon, Yongseok Choi, Jaesun Park, Subin Yi, Dongyeon Cho, Jiwon Kim
http://arxiv.org/abs/2007.05181v1
• [cs.LG]Self-Reflective Variational Autoencoder
Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski
http://arxiv.org/abs/2007.05166v1
• [cs.LG]Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products
Kai Bergermann, Martin Stoll, Toni Volkmer
http://arxiv.org/abs/2007.05239v1
• [cs.LG]TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification
Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner
http://arxiv.org/abs/2007.05307v1
• [cs.LG]The Trade-Offs of Private Prediction
Laurens van der Maaten, Awni Hannun
http://arxiv.org/abs/2007.05089v1
• [cs.NE]Artificial Neural Network Approach for the Identification of Clove Buds Origin Based on Metabolites Composition
Rustam, Agus Yodi Gunawan, Made Tri Ari Penia Kresnowati
http://arxiv.org/abs/2007.05125v1
• [cs.NE]Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters
Antoine Cully
http://arxiv.org/abs/2007.05352v1
• [cs.NI]Prediction of Traffic Flow via Connected Vehicles
Ranwa Al Mallah, Bilal Farooq, Alejandro Quintero
http://arxiv.org/abs/2007.05460v1
• [cs.SD]Conditioned Time-Dilated Convolutions for Sound Event Detection
Konstantinos Drossos, Stylianos I. Mimilakis, Tuomas Virtanen
http://arxiv.org/abs/2007.05183v1
• [cs.SE]Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann
http://arxiv.org/abs/2007.05505v1
• [cs.SI]Emergence of Hierarchy in Networked Endorsement Dynamics
Mari Kawakatsu, Philip S. Chodrow, Nicole Eikmeier, Daniel B. Larremore
http://arxiv.org/abs/2007.04448v2
• [cs.SI]Preventing active re-identification attacks on social graphs via sybil subgraph obfuscation
Sjouke Mauw, Yunior Ramírez-Cruz, Rolando Trujillo-Rasua
http://arxiv.org/abs/2007.05312v1
• [eess.AS]ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
Sławomir Kapka
http://arxiv.org/abs/2007.05314v1
• [eess.IV]A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern Menze
http://arxiv.org/abs/2007.05324v1
• [eess.IV]Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks
Zhongqiang Liu
http://arxiv.org/abs/2007.05224v1
• [eess.IV]Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu
http://arxiv.org/abs/2007.05230v1
• [eess.IV]Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Elbrich M. Postma, Paul A. M. Smeets, Richard A. P. Takx, Tim Leiner, Max A. Viergever, Ivana Išgum
http://arxiv.org/abs/2007.05295v1
• [eess.IV]Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision
Chen Liu, Jiaqi Fan, Guosheng Yin
http://arxiv.org/abs/2007.05220v1
• [eess.IV]Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma
Prasitthichai Naronglerdrit, Iosif Mporas
http://arxiv.org/abs/2007.05446v1
• [eess.IV]Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging
Duong-Hung Pham, Adrian Basarab, Ilyess Zemmoura, Jean-Pierre Remenieras, Denis Kouame
http://arxiv.org/abs/2007.05428v1
• [eess.IV]Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques
Yijun Zhao, Jacek Ossowski, Xuming Wang, Shangjin Li, Orrin Devinsky, Samantha P. Martin, Heath R. Pardoe
http://arxiv.org/abs/2007.05149v1
• [eess.IV]OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN
Jaeyoung Huh, Shujaat Khan, Jong Chul Ye
http://arxiv.org/abs/2007.05205v1
• [eess.IV]ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Yuhui Ma, Huaying Hao, Huazhu Fu, Jiong Zhang, Jianlong Yang, Jiang Liu, Yalin Zheng, Yitian Zhao
http://arxiv.org/abs/2007.05201v1
• [eess.IV]Rain Streak Removal in a Video to Improve Visibility by TAWL Algorithm
Muhammad Rafiqul Islam, Manoranjan Paul
http://arxiv.org/abs/2007.05167v1
• [eess.IV]Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy
http://arxiv.org/abs/2007.05405v1
• [eess.IV]SIMBA: Specific Identity Markers for Bone Age Assessment
Cristina González, María Escobar, Laura Daza, Felipe Torres, Gustavo Triana, Pablo Arbeláez
http://arxiv.org/abs/2007.05454v1
• [eess.SP]Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems
Pengxia Wu, Julian Cheng
http://arxiv.org/abs/2007.05177v1
• [eess.SP]Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers
Tom Lovett, Mark Briers, Marcos Charalambides, Radka Jersakova, James Lomax, Chris Holmes
http://arxiv.org/abs/2007.05057v1
• [eess.SY]Approximate Time-Optimal Trajectories for Damped Double Integrator in 2D Obstacle Environments under Bounded Inputs
Vishnu S. Chipade
http://arxiv.org/abs/2007.05155v1
• [math.NA]Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions
Philipp Grohs, Lukas Herrmann
http://arxiv.org/abs/2007.05384v1
• [math.OC]A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
http://arxiv.org/abs/2007.05170v1
• [math.PR]High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin
Pierre Monmarché
http://arxiv.org/abs/2007.05455v1
• [math.ST]A concise modification of Marshall-Olkin family of distributions for reliability analysis
Mueen-ud-Din Azad, Muhammad Mohsin
http://arxiv.org/abs/2007.05176v1
• [math.ST]Principal Loading Analysis
Jan O. Bauer, Bernhard Drabant
http://arxiv.org/abs/2007.05215v1
• [physics.chem-ph]Machine learning for electronically excited states of molecules
Julia Westermayr, Philipp Marquetand
http://arxiv.org/abs/2007.05320v1
• [physics.comp-ph]Deep Surrogate Models for Multi-dimensional Regression of Reactor Power
Akshay J. Dave, Jarod Wilson, Kaichao Sun
http://arxiv.org/abs/2007.05435v1
• [physics.soc-ph]A message-passing approach to epidemic tracing and mitigation with apps
Ginestra Bianconi, Hanlin Sun, Giacomo Rapisardi, Alex Arenas
http://arxiv.org/abs/2007.05277v1
• [physics.soc-ph]Fixed-time descriptive statistics underestimate extremes of epidemic curve ensembles
Jonas L. Juul, Kaare Græsbøll, Lasse Engbo Christiansen, Sune Lehmann
http://arxiv.org/abs/2007.05035v1
• [physics.soc-ph]Games of Social Distancing during an Epidemic: Local vs Statistical Information
A. -R. Lagos, I. Kordonis, G. P. Papavassilopoulos
http://arxiv.org/abs/2007.05185v1
• [physics.soc-ph]Percolation framework reveals limits of privacy in Conspiracy, Dark Web, and Blockchain networks
Louis M Shekhtman, Alon Sela, Shlomo Havlin
http://arxiv.org/abs/2007.05466v1
• [q-bio.NC]Biological credit assignment through dynamic inversion of feedforward networks
William F. Podlaski, Christian K. Machens
http://arxiv.org/abs/2007.05112v1
• [q-bio.PE]Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ$α$ Model
Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna
http://arxiv.org/abs/2007.05180v1
• [q-bio.TO]Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves
Manoranjan Paul, Sourabhi Debnath, Tanmoy Debnath, Suzy Rogiers, Tintu Baby, DM Motiur Rahaman, Lihong Zheng, Leigh Schmidtke
http://arxiv.org/abs/2007.05197v1
• [stat.AP]A Causal Inference Approach to Measure the Vulnerability of Urban Metro Systems
Nan Zhang, Daniel J. Graham, Daniel Hörcher, Prateek Bansal
http://arxiv.org/abs/2007.05276v1
• [stat.AP]ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes
Prashant Shekhar, Beata Csatho, Tony Schenk, Carolyn Roberts, Abani Patra
http://arxiv.org/abs/2007.05010v1
• [stat.AP]Evaluating Fairness Using Permutation Tests
Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal
http://arxiv.org/abs/2007.05124v1
• [stat.AP]Space-Time Smoothing of Demographic and Health Indicators using the R Package SUMMER
Zehang Richard Li, Bryan D Martin, Tracy Qi Dong, Geir-Arne Fuglstad, John Paige, Andrea Riebler, Samuel Clark, Jon Wakefield
http://arxiv.org/abs/2007.05117v1
• [stat.AP]To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja
http://arxiv.org/abs/2007.05304v1
• [stat.ME]Analyzing the Effects of Observation Function Selection in Ensemble Kalman Filtering for Epidemic Models
Leah Mitchell, Andrea Arnold
http://arxiv.org/abs/2007.05114v1
• [stat.ME]Community Network Auto-Regression for High-Dimensional Time Series
Elynn Y. Chen, Jianqing Fan, Xuening Zhu
http://arxiv.org/abs/2007.05521v1
• [stat.ME]High heritability does not imply accurate prediction under the small additive effects hypothesis
Arthur Frouin, Claire Dandine-Roulland, Morgane Pierre-Jean, Jean-François Deleuze, Christophe Ambroise, Edith Le Floch
http://arxiv.org/abs/2007.05424v1
• [stat.ME]Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
Zachary F. Fisher, Younghoon Kim, Barbara Fredrickson, Vladas Pipiras
http://arxiv.org/abs/2007.05052v1
• [stat.ML]Generalized Maximum Entropy for Supervised Classification
Santiago Mazuelas, Yuan Shen, Aritz Pérez
http://arxiv.org/abs/2007.05447v1
• [stat.ML]Next Waves in Veridical Network Embedding
Owen G. Ward, Zhen Huang, Andrew Davison, Tian Zheng
http://arxiv.org/abs/2007.05385v1
• [stat.ML]Robust Geodesic Regression
Ha-Young Shin, Hee-Seok Oh
http://arxiv.org/abs/2007.04518v2
• [stat.ML]Variational Inference with Continuously-Indexed Normalizing Flows
Anthony Caterini, Rob Cornish, Dino Sejdinovic, Arnaud Doucet
http://arxiv.org/abs/2007.05426v1