2018
Multivariate Time Series Imputation with Generative Adversarial Networks
NeurIPS 2018poster
Multivariate time series usually contain a large number of missing values, which hinders the application of advanced analysis methods on multivariate time series data. Conventional approaches to addressing the challenge of missing values, including mean/zero imputation, case deletion, and matrix fac…