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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-ph - 高能物理现象学 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 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

    • [cs.AI]CraftAssist: A Framework for Dialogue-enabled Interactive Agents
    • [cs.AI]DeepProbLog: Neural Probabilistic Logic Programming
    • [cs.AI]Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation
    • [cs.AI]Enhancing magic sets with an application to ontological reasoning
    • [cs.AI]Interactive Learning of Environment Dynamics for Sequential Tasks
    • [cs.AI]Learning High-Level Planning Symbols from Intrinsically Motivated Experience
    • [cs.AI]Representation Learning for Classical Planning from Partially Observed Traces
    • [cs.CL]Exploring sentence informativeness
    • [cs.CL]Joint Learning of Named Entity Recognition and Entity Linking
    • [cs.CL]Multi-Granular Text Encoding for Self-Explaining Categorization
    • [cs.CL]Predicting Human Activities from User-Generated Content
    • [cs.CL]SLATE: A Super-Lightweight Annotation Tool for Experts
    • [cs.CR]An AI-based, Multi-stage detection system of banking botnets
    • [cs.CR]New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning
    • [cs.CV]Fast and robust detection of solar modules in electroluminescence images
    • [cs.CV]Interaction-and-Aggregation Network for Person Re-identification
    • [cs.CV]Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
    • [cs.CV]Only Time Can Tell: Discovering Temporal Data for Temporal Modeling
    • [cs.CV]Predicting Visual Memory Schemas with Variational Autoencoders
    • [cs.CV]VRSTC: Occlusion-Free Video Person Re-Identification
    • [cs.CY]A Total Error Framework for Digital Traces of Humans
    • [cs.DC]ASYNC: Asynchronous Machine Learning on Distributed Systems
    • [cs.DC]FBLAS: Streaming Linear Algebra on FPGA
    • [cs.DC]Fog Function: Serverless Fog Computing for Data Intensive IoT Services
    • [cs.DC]Optimizing Validation Phase of Hyperledger Fabric
    • [cs.DC]Parallel Algorithms for Butterfly Computations
    • [cs.IR]A Comparative Evaluation of Visual and Natural Language Question Answering Over Linked Data
    • [cs.IR]An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
    • [cs.IR]Greedy Optimized Multileaving for Personalization
    • [cs.IR]Neural Cross-Domain Collaborative Filtering with Shared Entities
    • [cs.IT]A Graph Neural Network Approach for Scalable Wireless Power Control
    • [cs.IT]End-to-end Learning for GMI Optimized Geometric Constellation Shape
    • [cs.IT]Multi-Objective Optimization for Energy-and Spectral-Efficiency Tradeoff in In-band Full-Duplex (IBFD) Communication
    • [cs.IT]Non-Orthogonal Multiple Access with Spatial Modulation in Downlink Coordinated Multipoint Transmission
    • [cs.IT]Performance evaluation of THz wireless systems under the joint impact of misalignment fading and phase noise
    • [cs.IT]Shaped On-Off Keying Using Polar Codes
    • [cs.LG]Automated Machine Learning in Practice: State of the Art and Recent Results
    • [cs.LG]Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling
    • [cs.LG]D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction
    • [cs.LG]DaiMoN: A Decentralized Artificial Intelligence Model Network
    • [cs.LG]Delegative Reinforcement Learning: learning to avoid traps with a little help
    • [cs.LG]Discrete Object Generation with Reversible Inductive Construction
    • [cs.LG]Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery
    • [cs.LG]GPU-Accelerated Atari Emulation for Reinforcement Learning
    • [cs.LG]Learning sparsity in reservoir computing through a novel bio-inspired algorithm
    • [cs.LG]Lookahead Optimizer: k steps forward, 1 step back
    • [cs.LG]MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
    • [cs.LG]Open Set Domain Adaptation: Theoretical Bound and Algorithm
    • [cs.LG]Post-synaptic potential regularization has potential
    • [cs.LG]Representational Capacity of Deep Neural Networks — A Computing Study
    • [cs.LG]Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
    • [cs.LG]SentiMATE: Learning to play Chess through Natural Language Processing
    • [cs.LG]Spectral Analysis of Latent Representations
    • [cs.LG]Toxicity Prediction by Multimodal Deep Learning
    • [cs.LG]When can we improve on sample average approximation for stochastic optimization?
    • [cs.LG]Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model
    • [cs.LG]WriterForcing: Generating more interesting story endings
    • [cs.LG]XferNAS: Transfer Neural Architecture Search
    • [cs.NI]Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
    • [cs.PF]Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems
    • [cs.RO]Accurate IMU Preintegration Using Switched Linear Systems For Autonomous Systems
    • [cs.RO]Automatic mobility analysis of parallel mechanisms: an algorithm approach based on position and orientation characteristic equations
    • [cs.RO]Composing Diverse Policies for Temporally Extended Tasks
    • [cs.RO]Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
    • [cs.RO]Resilient Sensor Architecture Design and Tradespace Analysis for Autonomous Vehicle Localization and Mapping
    • [cs.RO]Robust Real-time RGB-D Visual Odometry in Dynamic Environments via Rigid Motion Model
    • [cs.RO]Topology design and analysis of a novel 3-translational parallel mechanism with analytical direct position solutions and partial motion decoupling
    • [cs.SD]Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
    • [cs.SE]Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation
    • [cs.SI]Computational Human Dynamics
    • [cs.SI]I Stand With You: Using Emojis to Study Solidarity in Crisis Events
    • [cs.SI]Message passing on networks with loops
    • [econ.EM]A Vine-copula extension for the HAR model
    • [eess.AS]Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds
    • [eess.AS]DNN-based Speaker Embedding Using Subjective Inter-speaker Similarity for Multi-speaker Modeling in Speech Synthesis
    • [eess.IV]A multiscale Laplacian of Gaussian (LoG) filtering approach to pulmonary nodule detection from whole-lung CT scans
    • [eess.IV]Deep Graph-Convolutional Image Denoising
    • [eess.IV]Deep Perceptual Compression
    • [eess.IV]Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
    • [eess.IV]Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN
    • [eess.SP]Rate Splitting with Finite Constellations: The Benefits of Interference Exploitation vs Suppression
    • [hep-ph]Neural Networks for Full Phase-space Reweighting and Parameter Tuning
    • [math.ST]Approximations for the boundary crossing probabilities of the maximum of moving sums of normal random variables
    • [math.ST]Minimizing the expected value of the asymmetric loss and an inequality of the variance of the loss
    • [math.ST]Statistical data analysis in the Wasserstein space
    • [physics.data-an]A geometric approach to the transport of discontinuous densities
    • [q-bio.GN]Genome-wide Causation Studies of Complex Diseases
    • [q-bio.NC]Universality and individuality in neural dynamics across large populations of recurrent networks
    • [quant-ph]An information-theoretic treatment of quantum dichotomies
    • [stat.AP]A Systematic Approach to Detect Hierarchical Healthcare Cost Drivers and Interpretable Change Patterns
    • [stat.AP]A state space approach to dynamic modeling of mouse-tracking data
    • [stat.AP]Interval estimators for inequality measures using grouped data
    • [stat.AP]Misplaced Confidence in Observed Power
    • [stat.ME]A general approach to the assessment of uncertainty in volumes by using the multi-Gaussian model
    • [stat.ME]An Approach to Efficient Fitting of Univariate and Multivariate Stochastic Volatility Models
    • [stat.ME]Bayesian Variable Selection for Gaussian copula regression models
    • [stat.ME]Clustering Higher Order Data: Finite Mixtures of Multidimensional Arrays
    • [stat.ME]Interventional Effect Models for Multiple Mediators
    • [stat.ME]Matrix Completion for Survey Data Prediction with Multivariate Missingness
    • [stat.ME]Reluctant Interaction Modeling
    • [stat.ML]Kernel Mode Decomposition and programmable/interpretable regression networks
    • [stat.ML]Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation
    • [stat.ML]On Linear Convergence of Weighted Kernel Herding
    • [stat.ML]Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs

    ·····································

    • [cs.AI]CraftAssist: A Framework for Dialogue-enabled Interactive Agents
    Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam
    http://arxiv.org/abs/1907.08584v1

    • [cs.AI]DeepProbLog: Neural Probabilistic Logic Programming
    Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, Thomas Demeester, Luc De Raedt
    http://arxiv.org/abs/1907.08194v1

    • [cs.AI]**Empowering A Search Algorithms with Neural Networks for Personalized Route Recommendation
    Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin
    http://arxiv.org/abs/1907.08489v1

    • [cs.AI]Enhancing magic sets with an application to ontological reasoning
    Mario Alviano, Nicola Leone, Pierfrancesco Veltri, Jessica Zangari
    http://arxiv.org/abs/1907.08424v1

    • [cs.AI]Interactive Learning of Environment Dynamics for Sequential Tasks
    Robert Loftin, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts
    http://arxiv.org/abs/1907.08478v1

    • [cs.AI]Learning High-Level Planning Symbols from Intrinsically Motivated Experience
    Angelo Oddi, Riccardo Rasconi, Emilio Cartoni, Gabriele Sartor, Gianluca Baldassarre, Vieri Giuliano Santucci
    http://arxiv.org/abs/1907.08313v1

    • [cs.AI]Representation Learning for Classical Planning from Partially Observed Traces
    Zhanhao Xiao, Hai Wan, Hankui Hankz Zhuo, Jinxia Lin, Yanan Liu
    http://arxiv.org/abs/1907.08352v1

    • [cs.CL]Exploring sentence informativeness
    Syrielle Montariol, Aina Garí Soler, Alexandre Allauzen
    http://arxiv.org/abs/1907.08469v1

    • [cs.CL]Joint Learning of Named Entity Recognition and Entity Linking
    Pedro Henrique Martins, Zita Marinho, André F. T. Martins
    http://arxiv.org/abs/1907.08243v1

    • [cs.CL]Multi-Granular Text Encoding for Self-Explaining Categorization
    Zhiguo Wang, Yue Zhang, Mo Yu, Wei Zhang, Lin Pan, Linfeng Song, Kun Xu, Yousef El-Kurdi
    http://arxiv.org/abs/1907.08532v1

    • [cs.CL]Predicting Human Activities from User-Generated Content
    Steven R. Wilson, Rada Mihalcea
    http://arxiv.org/abs/1907.08540v1

    • [cs.CL]SLATE: A Super-Lightweight Annotation Tool for Experts
    Jonathan K. Kummerfeld
    http://arxiv.org/abs/1907.08236v1

    • [cs.CR]An AI-based, Multi-stage detection system of banking botnets
    Li Ling, Zhiqiang Gao, Michael A Silas, Ian Lee, Erwan A Le Doeuff
    http://arxiv.org/abs/1907.08276v1

    • [cs.CR]New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning
    Shuqiang Lu, Lingyun Ying, Wenjie Lin, Yu Wang, Meining Nie, Kaiwen Shen, Lu Liu, Haixin Duan
    http://arxiv.org/abs/1907.08356v1

    • [cs.CV]Fast and robust detection of solar modules in electroluminescence images
    Mathis Hoffmann, Bernd Doll, Florian Talkenberg, Christoph J. Brabec, Andreas K. Maier, Vincent Christlein
    http://arxiv.org/abs/1907.08451v1

    • [cs.CV]Interaction-and-Aggregation Network for Person Re-identification
    Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/1907.08435v1

    • [cs.CV]Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
    Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
    http://arxiv.org/abs/1907.08511v1

    • [cs.CV]Only Time Can Tell: Discovering Temporal Data for Temporal Modeling
    Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
    http://arxiv.org/abs/1907.08340v1

    • [cs.CV]Predicting Visual Memory Schemas with Variational Autoencoders
    Cameron Kyle-Davidson, Adrian Bors, Karla Evans
    http://arxiv.org/abs/1907.08514v1

    • [cs.CV]VRSTC: Occlusion-Free Video Person Re-Identification
    Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/1907.08427v1

    • [cs.CY]A Total Error Framework for Digital Traces of Humans
    Indira Sen, Fabian Floeck, Katrin Weller, Bernd Weiss, Claudia Wagner
    http://arxiv.org/abs/1907.08228v1

    • [cs.DC]ASYNC: Asynchronous Machine Learning on Distributed Systems
    Saeed Soori, Bugra Can, Mert Gurbuzbalaba, Maryam Mehri Dehnavi
    http://arxiv.org/abs/1907.08526v1

    • [cs.DC]FBLAS: Streaming Linear Algebra on FPGA
    Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler
    http://arxiv.org/abs/1907.07929v2

    • [cs.DC]Fog Function: Serverless Fog Computing for Data Intensive IoT Services
    Bin Cheng, Jonathan Fürst, Gurkan Solmaz, Takuya Sanada
    http://arxiv.org/abs/1907.08278v1

    • [cs.DC]Optimizing Validation Phase of Hyperledger Fabric
    Haris Javaid, Chengchen Hu, Gordon Brebner
    http://arxiv.org/abs/1907.08367v1

    • [cs.DC]Parallel Algorithms for Butterfly Computations
    Jessica Shi, Julian Shun
    http://arxiv.org/abs/1907.08607v1

    • [cs.IR]A Comparative Evaluation of Visual and Natural Language Question Answering Over Linked Data
    Gerhard Wohlgenannt, Dmitry Mouromtsev, Dmitry Pavlov, Yury Emelyanov, Alexey Morozov
    http://arxiv.org/abs/1907.08501v1

    • [cs.IR]An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
    Matteo Manica, Christoph Auer, Valery Weber, Federico Zipoli, Michele Dolfi, Peter Staar, Teodoro Laino, Costas Bekas, Akihiro Fujita, Hiroki Toda, Shuichi Hirose, Yasumitsu Orii
    http://arxiv.org/abs/1907.08400v1

    • [cs.IR]Greedy Optimized Multileaving for Personalization
    Kojiro Iizuka, Takeshi Yoneda, Yoshifumi Seki
    http://arxiv.org/abs/1907.08346v1

    • [cs.IR]Neural Cross-Domain Collaborative Filtering with Shared Entities
    Vijaikumar M, Shirish Shevade, M N Murty
    http://arxiv.org/abs/1907.08440v1

    • [cs.IT]A Graph Neural Network Approach for Scalable Wireless Power Control
    Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief
    http://arxiv.org/abs/1907.08487v1

    • [cs.IT]End-to-end Learning for GMI Optimized Geometric Constellation Shape
    Rasmus T. Jones, Metodi P. Yankov, Darko Zibar
    http://arxiv.org/abs/1907.08535v1

    • [cs.IT]Multi-Objective Optimization for Energy-and Spectral-Efficiency Tradeoff in In-band Full-Duplex (IBFD) Communication
    Ata Khalili, Sheyda Zarandi, Mehdi Rasti, Ekram Hossain
    http://arxiv.org/abs/1907.08250v1

    • [cs.IT]Non-Orthogonal Multiple Access with Spatial Modulation in Downlink Coordinated Multipoint Transmission
    Denny Kusuma Hendraningrat, Bhaskara Narottama, Soo Young Shin
    http://arxiv.org/abs/1907.08381v1

    • [cs.IT]Performance evaluation of THz wireless systems under the joint impact of misalignment fading and phase noise
    Evangelos N. Papsotiriou, Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou
    http://arxiv.org/abs/1907.08494v1

    • [cs.IT]Shaped On-Off Keying Using Polar Codes
    Thomas Wiegart, Fabian Steiner, Patrick Schulte, Peihong Yuan
    http://arxiv.org/abs/1907.08468v1

    • [cs.LG]Automated Machine Learning in Practice: State of the Art and Recent Results
    Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
    http://arxiv.org/abs/1907.08392v1

    • [cs.LG]Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling
    Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing
    http://arxiv.org/abs/1907.08456v1

    • [cs.LG]D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction
    Divya Saxena, Jiannong Cao
    http://arxiv.org/abs/1907.08556v1

    • [cs.LG]DaiMoN: A Decentralized Artificial Intelligence Model Network
    Surat Teerapittayanon, H. T. Kung
    http://arxiv.org/abs/1907.08377v1

    • [cs.LG]Delegative Reinforcement Learning: learning to avoid traps with a little help
    Vanessa Kosoy
    http://arxiv.org/abs/1907.08461v1

    • [cs.LG]Discrete Object Generation with Reversible Inductive Construction
    Ari Seff, Wenda Zhou, Farhan Damani, Abigail Doyle, Ryan P. Adams
    http://arxiv.org/abs/1907.08268v1

    • [cs.LG]Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery
    Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja, Sergey Levine
    http://arxiv.org/abs/1907.08225v1

    • [cs.LG]GPU-Accelerated Atari Emulation for Reinforcement Learning
    Steven Dalton, Iuri Frosio, Michael Garland
    http://arxiv.org/abs/1907.08467v1

    • [cs.LG]Learning sparsity in reservoir computing through a novel bio-inspired algorithm
    Luca Manneschi, Andrew C. Lin, Eleni Vasilaki
    http://arxiv.org/abs/1907.08600v1

    • [cs.LG]Lookahead Optimizer: k steps forward, 1 step back
    Michael R. Zhang, James Lucas, Geoffrey Hinton, Jimmy Ba
    http://arxiv.org/abs/1907.08610v1

    • [cs.LG]MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
    Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Michael C. Hughes, Tristan Naumann, Marzyeh Ghassemi
    http://arxiv.org/abs/1907.08322v1

    • [cs.LG]Open Set Domain Adaptation: Theoretical Bound and Algorithm
    Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang
    http://arxiv.org/abs/1907.08375v1

    • [cs.LG]Post-synaptic potential regularization has potential
    Enzo Tartaglione, Daniele Perlo, Marco Grangetto
    http://arxiv.org/abs/1907.08544v1

    • [cs.LG]Representational Capacity of Deep Neural Networks — A Computing Study
    Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
    http://arxiv.org/abs/1907.08475v1

    • [cs.LG]Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
    Shusen Liu, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom, Jim Gaffney, Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer
    http://arxiv.org/abs/1907.08325v1

    • [cs.LG]SentiMATE: Learning to play Chess through Natural Language Processing
    Isaac Kamlish, Isaac Bentata Chcoron, Nicholas McCarthy
    http://arxiv.org/abs/1907.08321v1

    • [cs.LG]Spectral Analysis of Latent Representations
    Justin Shenk, Mats L. Richter, Anders Arpteg, Mikael Huss
    http://arxiv.org/abs/1907.08589v1

    • [cs.LG]Toxicity Prediction by Multimodal Deep Learning
    Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar
    http://arxiv.org/abs/1907.08333v1

    • [cs.LG]When can we improve on sample average approximation for stochastic optimization?
    Eddie Anderson, Harrison Nguyen
    http://arxiv.org/abs/1907.08334v1

    • [cs.LG]Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model
    Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová
    http://arxiv.org/abs/1907.08226v1

    • [cs.LG]WriterForcing: Generating more interesting story endings
    Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani, Alan W Black
    http://arxiv.org/abs/1907.08259v1

    • [cs.LG]XferNAS: Transfer Neural Architecture Search
    Martin Wistuba
    http://arxiv.org/abs/1907.08307v1

    • [cs.NI]Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
    Yiwen Han, Xiaofei Wang, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen
    http://arxiv.org/abs/1907.08349v1

    • [cs.PF]Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems
    Guenter Hesse, Christoph Matthies, Kelvin Glass, Johannes Huegle, Matthias Uflacker
    http://arxiv.org/abs/1907.08302v1

    • [cs.RO]Accurate IMU Preintegration Using Switched Linear Systems For Autonomous Systems
    John Henawy, Zhengguo Li, Wei Yun Yau, Gerald Seet, Kong Wah Wan
    http://arxiv.org/abs/1907.08434v1

    • [cs.RO]Automatic mobility analysis of parallel mechanisms: an algorithm approach based on position and orientation characteristic equations
    Xiaorong Zhu, Huiping Shen, Chengqi Wu, Damien Chablat, Tingli Yang
    http://arxiv.org/abs/1907.08428v1

    • [cs.RO]Composing Diverse Policies for Temporally Extended Tasks
    Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy
    http://arxiv.org/abs/1907.08199v1

    • [cs.RO]Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
    Bruna G. Maciel-Pearson, Samet Akcay, Amir Atapour-Abarghouei, Christopher Holder, Toby P. Breckon
    http://arxiv.org/abs/1907.08320v1

    • [cs.RO]Resilient Sensor Architecture Design and Tradespace Analysis for Autonomous Vehicle Localization and Mapping
    Anne Collin, Antonio Terán Espinoza
    http://arxiv.org/abs/1907.08541v1

    • [cs.RO]Robust Real-time RGB-D Visual Odometry in Dynamic Environments via Rigid Motion Model
    Sangil Lee, Clark Youngdong Son, H. Jin Kim
    http://arxiv.org/abs/1907.08388v1

    • [cs.RO]Topology design and analysis of a novel 3-translational parallel mechanism with analytical direct position solutions and partial motion decoupling
    Boxiong Zeng, Ting-Li Yang, Huiping Shen, Damien Chablat
    http://arxiv.org/abs/1907.08432v1

    • [cs.SD]Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
    Konstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen
    http://arxiv.org/abs/1907.08506v1

    • [cs.SE]Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation
    Giovanni Grano, Christoph Laaber, Annibale Panichella, Sebastiano Panichella
    http://arxiv.org/abs/1907.08578v1

    • [cs.SI]Computational Human Dynamics
    Márton Karsai
    http://arxiv.org/abs/1907.07475v2

    • [cs.SI]I Stand With You: Using Emojis to Study Solidarity in Crisis Events
    Sashank Santhanam, Vidhushini Srinivasan, Shaina Glass, Samira Shaikh
    http://arxiv.org/abs/1907.08326v1

    • [cs.SI]Message passing on networks with loops
    George T. Cantwell, M. E. J. Newman
    http://arxiv.org/abs/1907.08252v1

    • [econ.EM]A Vine-copula extension for the HAR model
    Martin Magris
    http://arxiv.org/abs/1907.08522v1

    • [eess.AS]Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds
    Yuma Koizumi, Shoichiro Saito, Masataka Yamaguchi, Shin Murata, Noboru Harada
    http://arxiv.org/abs/1907.08338v1

    • [eess.AS]DNN-based Speaker Embedding Using Subjective Inter-speaker Similarity for Multi-speaker Modeling in Speech Synthesis
    Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari
    http://arxiv.org/abs/1907.08294v1

    • [eess.IV]A multiscale Laplacian of Gaussian (LoG) filtering approach to pulmonary nodule detection from whole-lung CT scans
    Sergei V. Fotin, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves
    http://arxiv.org/abs/1907.08328v1

    • [eess.IV]Deep Graph-Convolutional Image Denoising
    Diego Valsesia, Giulia Fracastoro, Enrico Magli
    http://arxiv.org/abs/1907.08448v1

    • [eess.IV]Deep Perceptual Compression
    Yash Patel, Srikar Appalaraju, R. Manmatha
    http://arxiv.org/abs/1907.08310v1

    • [eess.IV]Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
    Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball
    http://arxiv.org/abs/1907.08303v1

    • [eess.IV]Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN
    David Abramian, Anders Eklund
    http://arxiv.org/abs/1907.08533v1

    • [eess.SP]Rate Splitting with Finite Constellations: The Benefits of Interference Exploitation vs Suppression
    Abdelhamid Salem, Christos Masouros, Bruno Clerckx
    http://arxiv.org/abs/1907.08457v1

    • [hep-ph]Neural Networks for Full Phase-space Reweighting and Parameter Tuning
    Anders Andreassen, Benjamin Nachman
    http://arxiv.org/abs/1907.08209v1

    • [math.ST]Approximations for the boundary crossing probabilities of the maximum of moving sums of normal random variables
    Jack Noonan, Anatoly Zhigljavsky
    http://arxiv.org/abs/1907.08201v1

    • [math.ST]Minimizing the expected value of the asymmetric loss and an inequality of the variance of the loss
    Naoya Yamaguchi, Yuka Yamaguchi, Ryuei Nishii
    http://arxiv.org/abs/1907.08369v1

    • [math.ST]Statistical data analysis in the Wasserstein space
    Jérémie Bigot
    http://arxiv.org/abs/1907.08417v1

    • [physics.data-an]A geometric approach to the transport of discontinuous densities
    Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis
    http://arxiv.org/abs/1907.08260v1

    • [q-bio.GN]Genome-wide Causation Studies of Complex Diseases
    Rong Jiao, Xiangning Chen, Eric Boerwinkle, Momiao Xiong
    http://arxiv.org/abs/1907.07789v1

    • [q-bio.NC]Universality and individuality in neural dynamics across large populations of recurrent networks
    Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
    http://arxiv.org/abs/1907.08549v1

    • [quant-ph]An information-theoretic treatment of quantum dichotomies
    Francesco Buscemi, David Sutter, Marco Tomamichel
    http://arxiv.org/abs/1907.08539v1

    • [stat.AP]A Systematic Approach to Detect Hierarchical Healthcare Cost Drivers and Interpretable Change Patterns
    Ta-Hsin Li, Huijing Jiang, Kevin Tran, Gigi Yuen-Reed, Bob Kelley, Thomas Halvorson
    http://arxiv.org/abs/1907.08237v1

    • [stat.AP]A state space approach to dynamic modeling of mouse-tracking data
    Antonio Calcagnì, Luigi Lombardi, Marco D’Alessandro
    http://arxiv.org/abs/1907.08387v1

    • [stat.AP]Interval estimators for inequality measures using grouped data
    Dilanka S. Dedduwakumara, Luke A. Prendergast
    http://arxiv.org/abs/1907.07850v2

    • [stat.AP]Misplaced Confidence in Observed Power
    Zad R. Chow
    http://arxiv.org/abs/1907.08242v1

    • [stat.ME]A general approach to the assessment of uncertainty in volumes by using the multi-Gaussian model
    Alvaro I. Riquelme, Julian M. Ortiz
    http://arxiv.org/abs/1907.08264v1

    • [stat.ME]An Approach to Efficient Fitting of Univariate and Multivariate Stochastic Volatility Models
    Chen Gong, David S. Stoffer
    http://arxiv.org/abs/1907.08372v1

    • [stat.ME]Bayesian Variable Selection for Gaussian copula regression models
    Angelos Alexopoulos, Leonardo Bottolo
    http://arxiv.org/abs/1907.08245v1

    • [stat.ME]Clustering Higher Order Data: Finite Mixtures of Multidimensional Arrays
    Peter A. Tait, Paul D. McNicholas
    http://arxiv.org/abs/1907.08566v1

    • [stat.ME]Interventional Effect Models for Multiple Mediators
    Wen Wei Loh, Beatrijs Moerkerke, Tom Loeys, Stijn Vansteelandt
    http://arxiv.org/abs/1907.08415v1

    • [stat.ME]Matrix Completion for Survey Data Prediction with Multivariate Missingness
    Xiaojun Mao, Zhonglei Wang, Shu Yang
    http://arxiv.org/abs/1907.08360v1

    • [stat.ME]Reluctant Interaction Modeling
    Guo Yu, Jacob Bien, Ryan Tibshirani
    http://arxiv.org/abs/1907.08414v1

    • [stat.ML]Kernel Mode Decomposition and programmable/interpretable regression networks
    Houman Owhadi, Clint Scovel, Gene Ryan Yoo
    http://arxiv.org/abs/1907.08592v1

    • [stat.ML]Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation
    Abdelaali Hassaine, Dexter Canoy, Jose Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Kazem Rahimi, Gholamreza Salimi-Khorshidi
    http://arxiv.org/abs/1907.08577v1

    • [stat.ML]On Linear Convergence of Weighted Kernel Herding
    Rajiv Khanna, Michael W. Mahoney
    http://arxiv.org/abs/1907.08410v1

    • [stat.ML]Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
    Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

    http://arxiv.org/abs/1907.08350v1