Gongyu Chen

Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures

This work proposes a generalized score-based diffusion framework for learning multivariate Gaussian mixture models with homoscedastic or heteroscedastic noise and introduces a score-based objective that explicitly models the latent distribution and accommodates observation-specific noise covariances.