cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.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.DL - 数字图书馆 cs.DS - 数据结构与算法 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.PF - 计算性能 cs.RO - 机器人学 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.CO - 组合数学 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 q-fin.RM - 风险管理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Counterfactual thinking in cooperation dynamics
• [cs.AI]Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations
• [cs.AI]Understanding Human Judgments of Causality
• [cs.CE]Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming
• [cs.CL]An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification
• [cs.CL]Annotating and normalizing biomedical NEs with limited knowledge
• [cs.CL]CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
• [cs.CL]Discriminative Sentence Modeling for Story Ending Prediction
• [cs.CL]Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems
• [cs.CL]Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity
• [cs.CL]Identifying Adversarial Sentences by Analyzing Text Complexity
• [cs.CL]Multi-channel Reverse Dictionary Model
• [cs.CL]Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
• [cs.CL]Towards a Philological Metric through a Topological Data Analysis Approach
• [cs.CR]An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning
• [cs.CR]Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection
• [cs.CR]SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks
• [cs.CV]$n$-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers
• [cs.CV]AANet: Attribute Attention Network for Person Re-Identifications
• [cs.CV]Adaptive Loss-aware Quantization for Multi-bit Networks
• [cs.CV]Adversarial Perturbations on the Perceptual Ball
• [cs.CV]Ambient Lighting Generation for Flash Images with Guided Conditional Adversarial Networks
• [cs.CV]An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
• [cs.CV]Attention-Based Face AntiSpoofing of RGB Images, using a Minimal End-2-End Neural Network
• [cs.CV]Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection
• [cs.CV]Fashion Outfit Complementary Item Retrieval
• [cs.CV]FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
• [cs.CV]HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces
• [cs.CV]Instance-wise Depth and Motion Learning from Monocular Videos
• [cs.CV]Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
• [cs.CV]Learning Regional Attraction for Line Segment Detection
• [cs.CV]Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data
• [cs.CV]Learning a Spatio-Temporal Embedding for Video Instance Segmentation
• [cs.CV]Lower Dimensional Kernels for Video Discriminators
• [cs.CV]Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
• [cs.CV]Neural Design Network: Graphic Layout Generation with Constraints
• [cs.CV]One-Shot Weakly Supervised Video Object Segmentation
• [cs.CV]P$^2$GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation
• [cs.CV]PointPoseNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds
• [cs.CV]SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images
• [cs.CV]Scale-wise Convolution for Image Restoration
• [cs.CV]ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
• [cs.CV]Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks
• [cs.CV]Simulating Content Consistent Vehicle Datasets with Attribute Descent
• [cs.CV]Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks
• [cs.CV]Tangent Images for Mitigating Spherical Distortion
• [cs.CV]TextTubes for Detecting Curved Text in the Wild
• [cs.CV]The Spectral Bias of the Deep Image Prior
• [cs.CV]Towards automated mobile-phone-based plant pathology management
• [cs.CY]AI and Holistic Review: Informing Human Reading in College Admissions
• [cs.CY]Drifts and Shifts: Characterizing the Evolution of Users Interests on Reddit
• [cs.CY]Exploring AI Futures Through Role Play
• [cs.CY]Online route choice modeling for Mobility-as-a-Service networks with non-separable, congestible link capacity effects
• [cs.DC]A decentralized algorithm for network node counting
• [cs.DC]Extendable NFV-Integrated Control Method Using Reinforcement Learning
• [cs.DC]HDOT — an Approach Towards Productive Programming of Hybrid Applications
• [cs.DC]MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning
• [cs.DC]Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy
• [cs.DC]Scalable Resilience Against Node Failures for Communication-Hiding Preconditioned Conjugate Gradient and Conjugate Residual Methods
• [cs.DL]Research Frontiers in Transfer Learning — a systematic and bibliometric review
• [cs.DS]Energy Minimization in DAG Scheduling on MPSoCs at Run-Time: Theory and Practice
• [cs.DS]Imposing edges in Minimum Spanning Tree
• [cs.DS]Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics
• [cs.DS]The Planted Matching Problem: Phase Transitions and Exact Results
• [cs.DS]The power of synergy in differential privacy:Combining a small curator with local randomizers
• [cs.HC]Field Label Prediction for Autofill in Web Browsers
• [cs.IR]A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation
• [cs.IR]Collaborative Filtering vs. Content-Based Filtering: differences and similarities
• [cs.IR]Macaw: An Extensible Conversational Information Seeking Platform
• [cs.IT]A Dimension Reduction-Based Joint Activity Detection and Channel Estimation Algorithm for Massive Access
• [cs.IT]Cache-Aided Content Delivery in Fog-RAN Systems with Topological Information and no CSI
• [cs.IT]Deep Learning-based Limited Feedback Designs for MIMO Systems
• [cs.IT]Information-Theoretic Analysis of D2D-Aided Pipelined Content Delivery in Fog-RAN
• [cs.IT]Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO
• [cs.IT]On existence of perfect bitrades in Hamming graphs
• [cs.IT]On the algebraic structure of quasi group codes
• [cs.IT]Polar Codes’ Simplicity, Random Codes’ Durability
• [cs.LG]Adaptive Granularity in Tensors: A Quest for Interpretable Structure
• [cs.LG]Adversarial VC-dimension and Sample Complexity of Neural Networks
• [cs.LG]Bounded Manifold Completion
• [cs.LG]CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization
• [cs.LG]Continuous Meta-Learning without Tasks
• [cs.LG]Continuous Speech Recognition using EEG and Video
• [cs.LG]Cost-Sensitive Feature-Value Acquisition Using Feature Relevance
• [cs.LG]Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks
• [cs.LG]Deep Reinforcement Learning Designed RF Pulse: $DeepRF_{SLR}$
• [cs.LG]Enabling Smartphone-based Estimation of Heart Rate
• [cs.LG]Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales
• [cs.LG]Extreme Learning Tree
• [cs.LG]FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences
• [cs.LG]FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference
• [cs.LG]Gradient-based training of Gaussian Mixture Models in High-Dimensional Spaces
• [cs.LG]Incorporating Unlabeled Data into Distributionally Robust Learning
• [cs.LG]Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents’ Capabilities and Limitations
• [cs.LG]Interleaved Composite Quantization for High-Dimensional Similarity Search
• [cs.LG]Mean field theory for deep dropout networks: digging up gradient backpropagation deeply
• [cs.LG]Meta Decision Trees for Explainable Recommendation Systems
• [cs.LG]Mislabel Detection of Finnish Publication Ranks
• [cs.LG]Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
• [cs.LG]Multilevel Initialization for Layer-Parallel Deep Neural Network Training
• [cs.LG]Normalizing flows for deep anomaly detection
• [cs.LG]On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition
• [cs.LG]Optimization for deep learning: theory and algorithms
• [cs.LG]Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
• [cs.LG]Per-sample Prediction Intervals for Extreme Learning Machines
• [cs.LG]Practical applicability of deep neural networks for overlapping speaker separation
• [cs.LG]Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
• [cs.LG]Pseudo-Encoded Stochastic Variational Inference
• [cs.LG]PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI
• [cs.LG]Quantifying the effect of representations on task complexity
• [cs.LG]Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation
• [cs.LG]Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines
• [cs.LG]Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection
• [cs.LG]Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices
• [cs.LG]TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
• [cs.LG]Tangent Space Separability in Feedforward Neural Networks
• [cs.LG]Topic subject creation using unsupervised learning for topic modeling
• [cs.LG]TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
• [cs.LG]VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets
• [cs.NE]Benchmarking Discrete Optimization Heuristics with IOHprofiler
• [cs.NE]One-Sh ot Decision-Making with and without Surrogates
• [cs.PF]Is Big Data Performance Reproducible in Modern Cloud Networks?
• [cs.RO]Deep Reinforcement Learning for Motion Planning of Mobile Robots
• [cs.RO]Online Path Generation and Navigation for Swarms of UAVs
• [cs.RO]RF Backscatter-based State Estimation for Micro Aerial Vehicles
• [cs.RO]Real-time data muling using a team of heterogeneous unmanned aerial vehicles
• [cs.RO]Safe Adaptation Using Energy Functions
• [cs.SI]An Adaptive Similarity Measure to Tune Trust Influence in Memory-Based Collaborative Filtering
• [cs.SI]Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection
• [cs.SI]Subgraph Classification, Clustering and Centrality for a Degree Asymmetric Twitter Based Graph Case Study: Suicidality
• [eess.AS]LSTM-TDNN with convolutional front-end for Dialect Identification in the 2019 Multi-Genre Broadcast Challenge
• [eess.IV]$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
• [eess.IV]Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation
• [eess.IV]Image Restoration using Plug-and-Play CNN MAP Denoisers
• [eess.IV]Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging
• [eess.IV]Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
• [eess.IV]The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method
• [eess.SP]Deep Radar Waveform Design for Efficient Automotive Radar Sensing
• [eess.SP]Location Forensics Analysis Using ENF Sequences Extracted from Power and Audio Recordings
• [eess.SP]Sum Rate Maximization for Multiuser MISO Downlink with Intelligent Reflecting Surface
• [eess.SY]Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
• [math.CO]LinCode — computer classification of linear codes
• [math.OC]Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems
• [math.OC]Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs
• [math.PR]Central limit theorems for stochastic gradient descent with averaging for stable manifolds
• [math.ST]Bayesian high-dimensional linear regression with generic spike-and-slab priors
• [math.ST]Estimation of Smooth Functionals in Normal Models: Bias Reduction and Asymptotic Efficiency
• [math.ST]Infinite Diameter Confidence Sets in a Model for Publication Bias
• [math.ST]QANOVA: Quantile-based Permutation Methods For General Factorial Designs
• [math.ST]Regularized Estimation of High-Dimensional Vector AutoRegressions with Weakly Dependent Innovations
• [physics.comp-ph]Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models
• [physics.comp-ph]Temporal Normalizing Flows
• [q-fin.RM]Pay-As-You-Drive Insurance Pricing Model
• [stat.AP]A statistical approach for robust tolerance design
• [stat.AP]Heteroscedastic Gaussian Process Regression on the Alkenone over Sea Surface Temperatures
• [stat.AP]Source-specific contributions of particulate matter to asthma-related pediatric emergency department utilization
• [stat.CO]Causal statistical modeling and calculation of distribution functions of classification features
• [stat.ME]Adjusted Win Ratio with Stratification: Calculation Methods and Interpretation
• [stat.ME]Integrated Emulators for Systems of Computer Models
• [stat.ME]Large-scale inference of correlation among mixed-type biological traits with Phylogenetic multivariate probit models
• [stat.ML]A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records
• [stat.ML]A Maximum Entropy approach to Massive Graph Spectra
• [stat.ML]Balancing the Tradeoff Between Clustering Value and Interpretability
• [stat.ML]Boltzmann Exploration Expectation-Maximisation
• [stat.ML]Feature-wise change detection and robust indoor positioning using RANSAC-like approach
• [stat.ML]Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
·····································
• [cs.AI]Counterfactual thinking in cooperation dynamics
Luis Moniz Pereira, Francisco C. Santos
http://arxiv.org/abs/1912.08946v1
• [cs.AI]Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations
Andreas Holzinger, André Carrington, Heimo Müller
http://arxiv.org/abs/1912.09024v1
• [cs.AI]Understanding Human Judgments of Causality
Masahiro Kazama, Yoshihiko Suhara, Andrey Bogomolov, Alex `Sandy’ Pentland
http://arxiv.org/abs/1912.08998v1
• [cs.CE]Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming
Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler
http://arxiv.org/abs/1912.08810v1
• [cs.CL]An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification
Yue Ma, Zengfeng Zeng, Dawei Zhu, Xuan Li, Yiying Yang, Xiaoyuan Yao, Kaijie Zhou, Jianping Shen
http://arxiv.org/abs/1912.09297v1
• [cs.CL]Annotating and normalizing biomedical NEs with limited knowledge
Fernando Sánchez León, Ana González Ledesma
http://arxiv.org/abs/1912.09152v1
• [cs.CL]CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu
http://arxiv.org/abs/1912.09156v1
• [cs.CL]Discriminative Sentence Modeling for Story Ending Prediction
Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu
http://arxiv.org/abs/1912.09008v1
• [cs.CL]Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems
Nick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney
http://arxiv.org/abs/1912.09257v1
• [cs.CL]Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity
Huiyuan Xie, Tom Sherborne, Alexander Kuhnle, Ann Copestake
http://arxiv.org/abs/1912.08960v1
• [cs.CL]Identifying Adversarial Sentences by Analyzing Text Complexity
Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano, Shinsaku Kiyomoto
http://arxiv.org/abs/1912.08981v1
• [cs.CL]Multi-channel Reverse Dictionary Model
Lei Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun
http://arxiv.org/abs/1912.08441v2
• [cs.CL]Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
Jiali Zeng, Linfeng Song, Jinsong Su, Jun Xie, Wei Song, Jiebo Luo
http://arxiv.org/abs/1912.09084v1
• [cs.CL]Towards a Philological Metric through a Topological Data Analysis Approach
Eduardo Paluzo-Hidalgo, Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo
http://arxiv.org/abs/1912.09253v1
• [cs.CR]An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning
Zhiying Xu, Shuyu Shi, Alex X. Liu, Jun Zhao, Lin Chen
http://arxiv.org/abs/1912.09150v1
• [cs.CR]Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection
Mahmood Sharif, Keane Lucas, Lujo Bauer, Michael K. Reiter, Saurabh Shintre
http://arxiv.org/abs/1912.09064v1
• [cs.CR]SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks
Simon Msika, Alejandro Quintero, Foutse Khomh
http://arxiv.org/abs/1912.09303v1
• [cs.CV]$n$-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers
Mahmood Sharif, Lujo Bauer, Michael K. Reiter
http://arxiv.org/abs/1912.09059v1
• [cs.CV]AANet: Attribute Attention Network for Person Re-Identifications
Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap
http://arxiv.org/abs/1912.09021v1
• [cs.CV]Adaptive Loss-aware Quantization for Multi-bit Networks
Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele
http://arxiv.org/abs/1912.08883v1
• [cs.CV]Adversarial Perturbations on the Perceptual Ball
Andrew Elliott, Stephen Law, Chris Russell
http://arxiv.org/abs/1912.09405v1
• [cs.CV]Ambient Lighting Generation for Flash Images with Guided Conditional Adversarial Networks
José Chávez, Rensso Mora, Edward Cayllahua-Cahuina
http://arxiv.org/abs/1912.08813v1
• [cs.CV]An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin
http://arxiv.org/abs/1912.08954v1
• [cs.CV]Attention-Based Face AntiSpoofing of RGB Images, using a Minimal End-2-End Neural Network
Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie
http://arxiv.org/abs/1912.08870v1
• [cs.CV]Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection
Srikrishna Varadarajan, Sonaal Kant, Muktabh Mayank Srivastava
http://arxiv.org/abs/1912.09476v1
• [cs.CV]Fashion Outfit Complementary Item Retrieval
Yen-Liang Lin, Son Tran, Larry S. Davis
http://arxiv.org/abs/1912.08967v1
• [cs.CV]FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
Georg Krispel, Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof
http://arxiv.org/abs/1912.08487v2
• [cs.CV]HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces
Yang Liu, Xu Tang, Xiang Wu, Junyu Han, Jingtuo Liu, Errui Ding
http://arxiv.org/abs/1912.09231v1
• [cs.CV]Instance-wise Depth and Motion Learning from Monocular Videos
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
http://arxiv.org/abs/1912.09351v1
• [cs.CV]Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiao Xiang Zhu
http://arxiv.org/abs/1912.08847v1
• [cs.CV]Learning Regional Attraction for Line Segment Detection
Nan Xue, Song Bai, Fu-Dong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang, Philip H. S. Torr
http://arxiv.org/abs/1912.09344v1
• [cs.CV]Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data
Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Jian Kang, Xiao Xiang Zhu
http://arxiv.org/abs/1912.08837v1
• [cs.CV]Learning a Spatio-Temporal Embedding for Video Instance Segmentation
Anthony Hu, Alex Kendall, Roberto Cipolla
http://arxiv.org/abs/1912.08969v1
• [cs.CV]Lower Dimensional Kernels for Video Discriminators
Emmanuel Kahembwe, Subramanian Ramamoorthy
http://arxiv.org/abs/1912.08860v1
• [cs.CV]Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Luca Bertinetto, Romain Mueller, Konstantinos Tertikas, Sina Samangooei, Nicholas A. Lord
http://arxiv.org/abs/1912.09393v1
• [cs.CV]Neural Design Network: Graphic Layout Generation with Constraints
Hsin-Ying Lee, Weilong Yang, Lu Jiang, Madison Le, Irfan Essa, Haifeng Gong, Ming-Hsuan Yang
http://arxiv.org/abs/1912.09421v1
• [cs.CV]One-Shot Weakly Supervised Video Object Segmentation
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jagersand
http://arxiv.org/abs/1912.08936v1
• [cs.CV]P$^2$GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation
Peiyu Yu, Yongming Rao, Jiwen Lu, Jie Zhou
http://arxiv.org/abs/1912.09316v1
• [cs.CV]PointPoseNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds
Frederik Hagelskjær, Anders Glent Buch
http://arxiv.org/abs/1912.09057v1
• [cs.CV]SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images
Haifeng Li, Kaijian Qiu, Li Chen, Xiaoming Mei, Liang Hong, Chao Tao
http://arxiv.org/abs/1912.09121v1
• [cs.CV]Scale-wise Convolution for Image Restoration
Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang
http://arxiv.org/abs/1912.09028v1
• [cs.CV]ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner
http://arxiv.org/abs/1912.08830v1
• [cs.CV]Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks
Bodhiswatta Chatterjee, Charalambos Poullis
http://arxiv.org/abs/1912.09216v1
• [cs.CV]Simulating Content Consistent Vehicle Datasets with Attribute Descent
Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon
http://arxiv.org/abs/1912.08855v1
• [cs.CV]Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks
Ziyun Wang, Volkan Isler, Daniel D. Lee
http://arxiv.org/abs/1912.08852v1
• [cs.CV]Tangent Images for Mitigating Spherical Distortion
Marc Eder, Mykhailo Shvets, John Lim, Jan-Michael Frahm
http://arxiv.org/abs/1912.09390v1
• [cs.CV]TextTubes for Detecting Curved Text in the Wild
Joël Seytre, Jon Wu, Alessandro Achille
http://arxiv.org/abs/1912.08990v1
• [cs.CV]The Spectral Bias of the Deep Image Prior
Prithvijit Chakrabarty, Subhransu Maji
http://arxiv.org/abs/1912.08905v1
• [cs.CV]Towards automated mobile-phone-based plant pathology management
Nantheera Anantrasirichai, Sion Hannuna, Nishan Canagarajah
http://arxiv.org/abs/1912.09239v1
• [cs.CY]AI and Holistic Review: Informing Human Reading in College Admissions
AJ Alvero, Noah Arthurs, anthony lising antonio, Benjamin W. Domingue, Ben Gebre-Medhin, Sonia Giebel, Mitchell L. Stevens
http://arxiv.org/abs/1912.09318v1
• [cs.CY]Drifts and Shifts: Characterizing the Evolution of Users Interests on Reddit
Carlo Michele Valensise, Matteo Cinelli, Alessandro Galeazzi, Walter Quattrociocchi
http://arxiv.org/abs/1912.09210v1
• [cs.CY]Exploring AI Futures Through Role Play
Shahar Avin, Ross Gruetzemacher, James Fox
http://arxiv.org/abs/1912.08964v1
• [cs.CY]Online route choice modeling for Mobility-as-a-Service networks with non-separable, congestible link capacity effects
Susan Jia Xu, Joseph Y. J. Chow
http://arxiv.org/abs/1912.09004v1
• [cs.DC]A decentralized algorithm for network node counting
Arindam Saha, James A. R. Marshall, Andreagiovanni Reina
http://arxiv.org/abs/1912.06802v2
• [cs.DC]Extendable NFV-Integrated Control Method Using Reinforcement Learning
Akito Suzuki, Ryoichi Kawahara, Masahiro Kobayashi, Shigeaki Harada, Yousuke Takahashi, Keisuke Ishibashi
http://arxiv.org/abs/1912.09022v1
• [cs.DC]HDOT — an Approach Towards Productive Programming of Hybrid Applications
Jan Ciesko, Pedro J. Martínez-Ferrer, Raúl Peñacoba Veigas, Xavier Teruel, Vicenç Beltran
http://arxiv.org/abs/1912.08464v2
• [cs.DC]MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning
Shaohuai Shi, Xiaowen Chu, Bo Li
http://arxiv.org/abs/1912.09268v1
• [cs.DC]Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy
Ben Blamey, Ida-Maria Sintorn, Andreas Hellander, Salman Toor
http://arxiv.org/abs/1912.09088v1
• [cs.DC]Scalable Resilience Against Node Failures for Communication-Hiding Preconditioned Conjugate Gradient and Conjugate Residual Methods
Markus Levonyak, Christina Pacher, Wilfried N. Gansterer
http://arxiv.org/abs/1912.09230v1
• [cs.DL]Research Frontiers in Transfer Learning — a systematic and bibliometric review
Frederico Guth, Teofilo Emidio de-Campos
http://arxiv.org/abs/1912.08812v1
• [cs.DS]Energy Minimization in DAG Scheduling on MPSoCs at Run-Time: Theory and Practice
Bertrand Simon, Joachim Falk, Nicole Megow, Jürgen Teich
http://arxiv.org/abs/1912.09170v1
• [cs.DS]Imposing edges in Minimum Spanning Tree
Nicolas Isoart, Jean-Charles Régin
http://arxiv.org/abs/1912.09360v1
• [cs.DS]Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics
Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler
http://arxiv.org/abs/1912.08950v1
• [cs.DS]The Planted Matching Problem: Phase Transitions and Exact Results
Mehrdad Moharrami, Cristopher Moore, Jiaming Xu
http://arxiv.org/abs/1912.08880v1
• [cs.DS]The power of synergy in differential privacy:Combining a small curator with local randomizers
Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer
http://arxiv.org/abs/1912.08951v1
• [cs.HC]Field Label Prediction for Autofill in Web Browsers
Joy Bose
http://arxiv.org/abs/1912.08809v1
• [cs.IR]A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation
Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yangping Zhang, Jie Tang
http://arxiv.org/abs/1912.08976v1
• [cs.IR]Collaborative Filtering vs. Content-Based Filtering: differences and similarities
Rafael Glauber, Angelo Loula
http://arxiv.org/abs/1912.08932v1
• [cs.IR]Macaw: An Extensible Conversational Information Seeking Platform
Hamed Zamani, Nick Craswell
http://arxiv.org/abs/1912.08904v1
• [cs.IT]A Dimension Reduction-Based Joint Activity Detection and Channel Estimation Algorithm for Massive Access
Xiaodan Shao, Xiaoming Chen, Rundong Jia
http://arxiv.org/abs/1912.08952v1
• [cs.IT]Cache-Aided Content Delivery in Fog-RAN Systems with Topological Information and no CSI
Wei-Ting Chang, Ravi Tandon, Osvaldo Simeone
http://arxiv.org/abs/1912.09467v1
• [cs.IT]Deep Learning-based Limited Feedback Designs for MIMO Systems
Jeonghyeon Jang, Hoon Lee, Sangwon Hwang, Haibao Ren, Inkyu Lee
http://arxiv.org/abs/1912.09043v1
• [cs.IT]Information-Theoretic Analysis of D2D-Aided Pipelined Content Delivery in Fog-RAN
Roy Karasik, Osvaldo Simeone, Shlomo Shamai
http://arxiv.org/abs/1912.09262v1
• [cs.IT]Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO
Hang Liu, Xiaojun Yuan, Ying Jun, Zhang
http://arxiv.org/abs/1912.09025v1
• [cs.IT]On existence of perfect bitrades in Hamming graphs
I. Yu. Mogilnykh, F. I. Solov’eva
http://arxiv.org/abs/1912.09089v1
• [cs.IT]On the algebraic structure of quasi group codes
Martino Borello, Wolfgang Willems
http://arxiv.org/abs/1912.09167v1
• [cs.IT]Polar Codes’ Simplicity, Random Codes’ Durability
Hsin-Po Wang, Iwan Duursma
http://arxiv.org/abs/1912.08995v1
• [cs.LG]Adaptive Granularity in Tensors: A Quest for Interpretable Structure
Ravdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis
http://arxiv.org/abs/1912.09009v1
• [cs.LG]Adversarial VC-dimension and Sample Complexity of Neural Networks
Zetong Qi, T. J. Wilder
http://arxiv.org/abs/1912.08865v1
• [cs.LG]Bounded Manifold Completion
Kelum Gajamannage, Randy Paffenroth
http://arxiv.org/abs/1912.09026v1
• [cs.LG]CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization
Jeroen Zegers, Hugo Van hamme
http://arxiv.org/abs/1912.09254v1
• [cs.LG]Continuous Meta-Learning without Tasks
James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone
http://arxiv.org/abs/1912.08866v1
• [cs.LG]Continuous Speech Recognition using EEG and Video
Gautam Krishna, Mason Carnahan, Co Tran, Ahmed H Tewfik
http://arxiv.org/abs/1912.07730v2
• [cs.LG]Cost-Sensitive Feature-Value Acquisition Using Feature Relevance
Kimmo Kärkkäinen, Mohammad Kachuee, Orpaz Goldstein, Majid Sarrafzadeh
http://arxiv.org/abs/1912.08281v2
• [cs.LG]Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks
Nicholas Roberts, Dian Ang Yap, Vinay Uday Prabhu
http://arxiv.org/abs/1912.08986v1
• [cs.LG]Deep Reinforcement Learning Designed RF Pulse: $DeepRF_{SLR}$
Dongmyung Shin, Sooyeon Ji, Doohee Lee, Jieun Lee, Se-Hong Oh, Jongho Lee
http://arxiv.org/abs/1912.09015v1
• [cs.LG]Enabling Smartphone-based Estimation of Heart Rate
Nutta Homdee, Mehdi Boukhechba, Yixue W. Feng, Natalie Kramer, John Lach, Laura E. Barnes
http://arxiv.org/abs/1912.08910v1
• [cs.LG]Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales
Dapeng Feng, Kuai Fang, Chaopeng Shen
http://arxiv.org/abs/1912.08949v1
• [cs.LG]Extreme Learning Tree
Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Amaury Lendasse
http://arxiv.org/abs/1912.09087v1
• [cs.LG]FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences
S. Mohammad Mirbagheri, Howard J. Hamilton
http://arxiv.org/abs/1912.09445v1
• [cs.LG]FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference
Bram-Ernst Verhoef, Nathan Laubeuf, Stefan Cosemans, Peter Debacker, Ioannis Papistas, Arindam Mallik, Diederik Verkest
http://arxiv.org/abs/1912.09356v1
• [cs.LG]Gradient-based training of Gaussian Mixture Models in High-Dimensional Spaces
Alexander Gepperth, Benedikt Pfülb
http://arxiv.org/abs/1912.09379v1
• [cs.LG]Incorporating Unlabeled Data into Distributionally Robust Learning
Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon
http://arxiv.org/abs/1912.07729v2
• [cs.LG]Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents’ Capabilities and Limitations
Pedro Sequeira, Melinda Gervasio
http://arxiv.org/abs/1912.09007v1
• [cs.LG]Interleaved Composite Quantization for High-Dimensional Similarity Search
Soroosh Khoram, Stephen J Wright, Jing Li
http://arxiv.org/abs/1912.08756v2
• [cs.LG]Mean field theory for deep dropout networks: digging up gradient backpropagation deeply
Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao
http://arxiv.org/abs/1912.09132v1
• [cs.LG]Meta Decision Trees for Explainable Recommendation Systems
Eyal Shulman, Lior Wolf
http://arxiv.org/abs/1912.09140v1
• [cs.LG]Mislabel Detection of Finnish Publication Ranks
Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse
http://arxiv.org/abs/1912.09094v1
• [cs.LG]Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
Nicholas Roberts, Vinay Uday Prabhu, Matthew McAteer
http://arxiv.org/abs/1912.08987v1
• [cs.LG]Multilevel Initialization for Layer-Parallel Deep Neural Network Training
Eric C. Cyr, Stefanie Günther, Jacob B. Schroder
http://arxiv.org/abs/1912.08974v1
• [cs.LG]Normalizing flows for deep anomaly detection
Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach
http://arxiv.org/abs/1912.09323v1
• [cs.LG]On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition
István Ketykó, Ferenc Kovács
http://arxiv.org/abs/1912.08914v1
• [cs.LG]Optimization for deep learning: theory and algorithms
Ruoyu Sun
http://arxiv.org/abs/1912.08957v1
• [cs.LG]Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
Jian Peng Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li
http://arxiv.org/abs/1912.09091v1
• [cs.LG]Per-sample Prediction Intervals for Extreme Learning Machines
Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
http://arxiv.org/abs/1912.09090v1
• [cs.LG]Practical applicability of deep neural networks for overlapping speaker separation
Pieter Appeltans, Jeroen Zegers, Hugo Van hamme
http://arxiv.org/abs/1912.09261v1
• [cs.LG]Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
http://arxiv.org/abs/1912.08881v1
• [cs.LG]Pseudo-Encoded Stochastic Variational Inference
Amir Zadeh, Smon Hessner, Yao-Chong Lim, Louis-Phlippe Morency
http://arxiv.org/abs/1912.09423v1
• [cs.LG]PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
http://arxiv.org/abs/1912.09322v1
• [cs.LG]Quantifying the effect of representations on task complexity
Julian Zilly, Lorenz Hetzel, Andrea Censi, Emilio Frazzoli
http://arxiv.org/abs/1912.09399v1
• [cs.LG]Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation
Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner
http://arxiv.org/abs/1912.09040v1
• [cs.LG]Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines
Giancarlo Fissore, Aurélien Decelle, Cyril Furtlehner, Yufei Han
http://arxiv.org/abs/1912.09382v1
• [cs.LG]Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection
Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang
http://arxiv.org/abs/1912.09147v1
• [cs.LG]Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices
Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse
http://arxiv.org/abs/1912.09083v1
• [cs.LG]TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
Soroosh Khoram, Jing Li
http://arxiv.org/abs/1912.08792v2
• [cs.LG]Tangent Space Separability in Feedforward Neural Networks
Bálint Daróczy, Rita Aleksziev, András Benczúr
http://arxiv.org/abs/1912.09306v1
• [cs.LG]Topic subject creation using unsupervised learning for topic modeling
Rashid Mehdiyev, Jean Nava, Karan Sodhi, Saurav Acharya, Annie Ibrahim Rana
http://arxiv.org/abs/1912.08868v1
• [cs.LG]TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Zhongjie Yu, Lin Chen, Zhongwei Cheng, Jiebo Luo
http://arxiv.org/abs/1912.09033v1
• [cs.LG]VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets
Nilavra Bhattacharya, Danna Gurari
http://arxiv.org/abs/1912.09336v1
• [cs.NE]Benchmarking Discrete Optimization Heuristics with IOHprofiler
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
http://arxiv.org/abs/1912.09237v1
• [cs.NE]One-Sh ot Decision-Making with and without Surrogates
Jakob Bossek, Pascal Kerschke, Aneta Neumann, Frank Neumann, Carola Doerr
http://arxiv.org/abs/1912.08956v1
• [cs.PF]Is Big Data Performance Reproducible in Modern Cloud Networks?
Alexandru Uta, Alexandru Custura, Dmitry Duplyakin, Ivo Jimenez, Jan Rellermeyer, Carlos Maltzahn, Robert Ricci, Alexandru Iosup
http://arxiv.org/abs/1912.09256v1
• [cs.RO]Deep Reinforcement Learning for Motion Planning of Mobile Robots
Leonid Butyrev, Thorsten Edelhäußer, Christopher Mutschler
http://arxiv.org/abs/1912.09260v1
• [cs.RO]Online Path Generation and Navigation for Swarms of UAVs
Adnan Ashraf, Amin Majd, Elena Troubitsyna
http://arxiv.org/abs/1912.09288v1
• [cs.RO]RF Backscatter-based State Estimation for Micro Aerial Vehicles
Shengkai Zhang, Wei Wang, Ning Zhang, Tao Jiang
http://arxiv.org/abs/1912.08655v2
• [cs.RO]Real-time data muling using a team of heterogeneous unmanned aerial vehicles
Emmanuel Tuyishimire, Antoine Bagula, Slim Rekhis, Noureddine Boudriga
http://arxiv.org/abs/1912.08846v1
• [cs.RO]Safe Adaptation Using Energy Functions
Charles Noren, Changliu Liu
http://arxiv.org/abs/1912.09095v1
• [cs.SI]An Adaptive Similarity Measure to Tune Trust Influence in Memory-Based Collaborative Filtering
Mohammad Reza Zarei, Mohammad R. Moosavi
http://arxiv.org/abs/1912.08934v1
• [cs.SI]Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection
Artem Lutov, Dingqi Yang, Philippe Cudré-Mauroux
http://arxiv.org/abs/1912.08808v1
• [cs.SI]Subgraph Classification, Clustering and Centrality for a Degree Asymmetric Twitter Based Graph Case Study: Suicidality
Keith Andrew, Eric Steinfelds, Karla M. Andrew, Kay Opalenik
http://arxiv.org/abs/1912.08909v1
• [eess.AS]LSTM-TDNN with convolutional front-end for Dialect Identification in the 2019 Multi-Genre Broadcast Challenge
Xiaoxiao Miao, Ian McLoughlin
http://arxiv.org/abs/1912.09003v1
• [eess.IV]$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert
http://arxiv.org/abs/1912.09278v1
• [eess.IV]Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation
Minh H. Vu, Guus Grimbergen, Tufve Nyholm, Tommy Löfstedt
http://arxiv.org/abs/1912.09287v1
• [eess.IV]Image Restoration using Plug-and-Play CNN MAP Denoisers
Siavash Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar
http://arxiv.org/abs/1912.09299v1
• [eess.IV]Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging
Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Marc Kachelrieß, Marc Dewey, Christian Wald, Christoph Kolbitsch
http://arxiv.org/abs/1912.09395v1
• [eess.IV]Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood
http://arxiv.org/abs/1912.08937v1
• [eess.IV]The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method
YeongHyeon Park, Il Dong Yun, Si-Hyuck Kang
http://arxiv.org/abs/1912.08375v2
• [eess.SP]Deep Radar Waveform Design for Efficient Automotive Radar Sensing
Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian
http://arxiv.org/abs/1912.08180v2
• [eess.SP]Location Forensics Analysis Using ENF Sequences Extracted from Power and Audio Recordings
Dhiman Chowdhury, Mrinmoy Sarkar
http://arxiv.org/abs/1912.09428v1
• [eess.SP]Sum Rate Maximization for Multiuser MISO Downlink with Intelligent Reflecting Surface
Qiang Li, Xiaoyi Cui, Sissi Xiaoxiao Wu, Jingran Lin
http://arxiv.org/abs/1912.09315v1
• [eess.SY]Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li, Yujie Tang, Runyu Zhang, Na Li
http://arxiv.org/abs/1912.09135v1
• [math.CO]LinCode — computer classification of linear codes
Sascha Kurz
http://arxiv.org/abs/1912.09357v1
• [math.OC]Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems
Julie Sliwak, Miguel Anjos, Lucas Létocart, Jean Maeght, Emiliano Traversi
http://arxiv.org/abs/1912.09232v1
• [math.OC]Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs
Karina Koval, Alen Alexanderian, Georg Stadler
http://arxiv.org/abs/1912.08915v1
• [math.PR]Central limit theorems for stochastic gradient descent with averaging for stable manifolds
Steffen Dereich, Sebastian Kassing
http://arxiv.org/abs/1912.09187v1
• [math.ST]Bayesian high-dimensional linear regression with generic spike-and-slab priors
Bai Jiang, Qiang Sun
http://arxiv.org/abs/1912.08993v1
• [math.ST]Estimation of Smooth Functionals in Normal Models: Bias Reduction and Asymptotic Efficiency
Vladimir Koltchinskii, Mayya Zhilova
http://arxiv.org/abs/1912.08877v1
• [math.ST]Infinite Diameter Confidence Sets in a Model for Publication Bias
Jonas Moss
http://arxiv.org/abs/1912.09180v1
• [math.ST]QANOVA: Quantile-based Permutation Methods For General Factorial Designs
Marc Ditzhaus, Roland Fried, Markus Pauly
http://arxiv.org/abs/1912.09146v1
• [math.ST]Regularized Estimation of High-Dimensional Vector AutoRegressions with Weakly Dependent Innovations
Ricardo P. Masini, Marcelo C. Medeiros, Eduardo F. Mendes
http://arxiv.org/abs/1912.09002v1
• [physics.comp-ph]Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models
Sheroze Sheriffdeen, Jean C. Ragusa, Jim E. Morel, Marvin L. Adams, Tan Bui-Thanh
http://arxiv.org/abs/1912.08864v1
• [physics.comp-ph]Temporal Normalizing Flows
Gert-Jan Both, Remy Kusters
http://arxiv.org/abs/1912.09092v1
• [q-fin.RM]Pay-As-You-Drive Insurance Pricing Model
Safoora Zarei, Ali R. Fallahi
http://arxiv.org/abs/1912.09273v1
• [stat.AP]A statistical approach for robust tolerance design
Ambre Diet, Nicolas Couellan, Xavier Gendre, Julien Martin
http://arxiv.org/abs/1912.09365v1
• [stat.AP]Heteroscedastic Gaussian Process Regression on the Alkenone over Sea Surface Temperatures
Taehee Lee, Charles E. Lawrence
http://arxiv.org/abs/1912.08843v1
• [stat.AP]Source-specific contributions of particulate matter to asthma-related pediatric emergency department utilization
Mohammad Alfrad Nobel Bhuiyan, Patrick Ryan, Farzan Oroumyeh, Yajna Jathan, Madhumitaa Roy, Siv Balachandran, Cole Brokamp
http://arxiv.org/abs/1912.09472v1
• [stat.CO]Causal statistical modeling and calculation of distribution functions of classification features
Uwe Petersohn, Thomas Dedek, Sandra Zimmer, Hans Biskupski
http://arxiv.org/abs/1912.09334v1
• [stat.ME]Adjusted Win Ratio with Stratification: Calculation Methods and Interpretation
Samvel B. Gasparyan, Folke Folkvaljon, Olof Bengtsson, Joan Buenconsejo, Gary G. Koch
http://arxiv.org/abs/1912.09204v1
• [stat.ME]Integrated Emulators for Systems of Computer Models
Deyu Ming, Serge Guillas
http://arxiv.org/abs/1912.09468v1
• [stat.ME]Large-scale inference of correlation among mixed-type biological traits with Phylogenetic multivariate probit models
Zhenyu Zhang, Akihiko Nishimura, Paul Bastide, Xiang Ji, Rebecca P. Payne, Philip Goulder, Philippe Lemey, Marc A. Suchard
http://arxiv.org/abs/1912.09185v1
• [stat.ML]A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records
Alexis Bellot, Mihaela van der Schaar
http://arxiv.org/abs/1912.09086v1
• [stat.ML]A Maximum Entropy approach to Massive Graph Spectra
Diego Granziol, Robin Ru, Stefan Zohren, Xiaowen Dong, Michael Osborne, Stephen Roberts
http://arxiv.org/abs/1912.09068v1
• [stat.ML]Balancing the Tradeoff Between Clustering Value and Interpretability
Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
http://arxiv.org/abs/1912.07820v2
• [stat.ML]Boltzmann Exploration Expectation-Maximisation
Mathias Edman, Neil Dhir
http://arxiv.org/abs/1912.08869v1
• [stat.ML]Feature-wise change detection and robust indoor positioning using RANSAC-like approach
Caifa Zhou
http://arxiv.org/abs/1912.09301v1
• [stat.ML]Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim, Sercan O. Arik, Nicolas Loeff, Tomas Pfister
http://arxiv.org/abs/1912.09363v1
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