2026
Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting
ICML 2026poster
Diffusion models have achieved remarkable success in generative modeling, yet their application to time series forecasting remains suboptimal. Existing approaches apply uniform Gaussian noise across all time steps, assuming all frequency components should be corrupted at the same rate. However, ener…