Weihua Deng

DEEP LEARNING FOR HIGH-DIMENSIONAL SYSTEMS GOVERNING ANOMALOUS DIFFUSION*

A novel deep learning framework based on backward stochastic differential equations (BSDEs) to solve high-dimensional anomalous Fokker-Planck equations with numerous internal states in an unbounded domain is developed, providing a unified approach to a broad class of anomalous diffusion problems.