2025
HAR-former: Hybrid Transformer with an Adaptive Time-Frequency Representation Matrix for Long-Term Series Forecasting
AISTATS 2025poster
Time series forecasting is crucial across various fields such as economics, energy, transportation planning, and weather prediction. Nevertheless, accurately modeling real-world systems is challenging due to their inherent complexity and non-stationarity. Traditional methods, which often depend on h…