Byungseung Kong

Mean-Field Neural Differential Equations: A Game-Theoretic Approach to Sequence Prediction

We propose a novel class of neural differential equation models called mean-field continuous sequence predictors (MFPs) for efficiently generating continuous sequences with potentially infinite-order complexity. To address complex inductive biases in time-series data, we employ mean-field dynamics s…