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
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• [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