Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Zhe Li, Zhongwen Rao, Lujia Pan +2

Multivariate Time Series forecasting has been an increasingly popular topic in various applications and scenarios. Recently, contrastive learning and Transformer-based models have…