Cécile Mattrand

Unsupervised Representation Learning in Multivariate Time Series with Simulated Data

2023

Multivariate time-series data contains valuable information, but are challenging to analyze and model. This study uses unsupervised representation learning approaches to extract meaningful representations from unlabeled data, which are used to identify patterns of underlying …