2024
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
ICLR 2024poster
Recently, diffusion probabilistic models have attracted attention in generative time series forecasting due to their remarkable capacity to generate high-fidelity samples. However, the effective utilization of their strong modeling ability in the probabilistic time series forecasting task remains an…