2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
ICLR 2023poster
We propose an efficient design of Transformer-based models for multivariate time series forecasting and self-supervised representation learning. It is based on two key components: (i) segmentation of time series into subseries-level patches which are served as input tokens to Transformer; (ii) chann…