CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
Published in ICML 2024 (Poster), PMLR 235: 32990–33006, 2024
A modular approach that augments original series with ATS to model cross‑series structure efficiently, yielding strong accuracy/complexity trade‑offs.