In many scientific problems such as video surveillance, modern genomics, and finance, data are often collected from diverse measurements across time that exhibit time-dependent heterogeneous properties. Thus, it is important to not only integrate data from multiple sources (called multi-view data), but also to incorporate time dependency for deep understanding of the underlying system. We propose a generative model based on variational autoencoder and a recurrent neural network to infer the latent dynamics for multi-view temporal data. This approach allows us to identify the disentangled latent embeddings across views while accounting for the time factor. We invoke our proposed model for analyzing three datasets on which we demonstrate the effectiveness and the interpretability of the model.
dCMF: Learning interpretable evolving patterns from temporal multiway data
Simula Metropolitan Center for Digital Engineering（西穆拉都市数字工程中心）；OsloMet（奥斯陆城市大学）；Univ Lyon, INSA-Lyon, UCBL, UJM, CNRS（里昂大学、里昂国立应用科学学院、里昂第一大学、让·莫内大学、法国国家科学研究中心）
DRIMV_TSK: An Interpretable Surgical Evaluation Model for Incomplete Multi-View Rectal Cancer Data
Nantong University（南通大学）；Jiangnan University（江南大学）；Affiliated Hospital of Jiangnan University（江南大学附属医院）；University of Nottingham（诺丁汉大学）；Hong Kong Polytechnic University（香港理工大学）
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
University of Exeter（埃克塞特大学）；University of Trento（特伦托大学）；University of Tübingen（蒂宾根大学）；MPI for Informatics（马克斯·普朗克信息学研究所）；The Alan Turing Institute（艾伦·图灵研究所）；University of Surrey（萨里大学）
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
Interpretable Generative and Discriminative Learning for Multimodal and Incomplete Clinical Data
Department of Health Sciences and Technology (DHEST), ETH Zurich（健康科学与技术系，苏黎世联邦理工学院）；Department of Signal Theory and Communications, Universidad Carlos III de Madrid（信号理论与通信系，卡洛斯三世大学）；UCL Hawkes Institute, Department of Computer Science, University College London（UCL Hawkes研究所，伦敦大学学院计算机科学系）；Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid（Gregorio Marañón卫生研究所（IiSGM），马德里）
Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting
organization= School of Science, Engineering \& Technology, East Delta University , addressline = Abdullah Al Noman Road, Noman Society , city= Chattagram , postcode= 4209 , country= Bangladesh
Clustering and Recognition of Spatiotemporal Features through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks
Department of Electrical & Computer Engineering（电气与计算机工程系）；Department of Applied Mathematics（应用数学系）；University of Washington（华盛顿大学）；Seattle, WA 98195（西雅图, WA 98195（注意：地址信息按要求不应提取，此处仅为示例说明））
Unsupervised discovery of the shared and private geometry in multi-view data
Department of Biomedical Engineering（生物医学工程系）；Johns Hopkins University（约翰霍普金斯大学）；Princeton Neuroscience Institute（普林斯顿神经科学研究所）；Princeton University（普林斯顿大学）；Department of Psychology and Brain Sciences（心理学与脑科学系）；University of Delaware（德雷塞尔大学）；Center for Imaging Science（成像科学中心）；Kavli Neurodiscovery Institute（Kavli神经发现研究所）
