A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting

Francisco Caldas, Sahil Kumar, Cláudia Soares

We introduce a model-agnostic forward diffusion process for time-series forecasting that decomposes signals into spectral components, preserving structured temporal patterns such a…