2026
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction
ICML 2026poster
Score-based generative models (SGMs) are powerful tools to sample from complex data distributions. Their underlying idea is to \emph{(i)} run a forward process for time $T_1$ by adding noise to the data, \emph{(ii)} estimate its score function, and \emph{(iii)} use such estimate to run a reverse pro…