Probing the Robustness of Time-series Forecasting Models with CounterfacTS

1 code implementation • 6 Mar 2024 • Håkon Hanisch Kjærnli, Lluis Mas-Ribas, Aida Ashrafi, Gleb Sizov, Helge Langseth, Odd Erik Gundersen

Because most of the training data does not reflect such changes, the models present poor performance on the new out-of-distribution scenarios and, therefore, the impact of such events cannot be reliably anticipated ahead of time.

Time Series Time Series Forecasting