Learning to Difference: Adaptive Reversible Differencing (AdaRDiff) for Time Series Forecasting

Morad Laglil, Younes Hlal, Marouane El Hadari +2

Reliable long-horizon time series forecasting is an important yet difficult problem. Trends and seasonality introduce complex temporal structure that challenges learning-based fore…