In this paper, we introduce a new class of score-based generative models (SGMs) designed
to handle high-cardinality data distributions by leveraging concepts from mean-field theory …

We propose a novel class of neural differential equation models called mean-field
continuous sequence predictors (MFPs) for efficiently generating continuous sequences with …