2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
NeurIPS 2023poster
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 effective, a basis must be tailored to the specific set of time series data and exhibit distinct correlation with each tim…