Research Focus: Week of July 15, 2024
NEW RESEARCH
MG-TSD: Advancing time series analysis with multi-granularity guided diffusion model
Diffusion probabilistic models have the capacity to generate high-fidelity samples for generative time series forecasting. However, they also present issues of instability due to their stochastic nature. In a recent article: MG-TSD: Advancing time series analysis with multi-granularity