BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis

Zelin Ni, Hang Yu, Shizhan Liu +2

Bases have become an integral part of modern deep learning-based models for time series forecasting due to their ability to act as feature extractors or future references. To be ef…