Deep operator learning for efficient sampling from invariant measures of stochastic differential equations

Ling Guo, Lei Li, Jingtong Zhang

We introduce an amortized neural sampler that combines operator learning with flow methods for sampling. It maps SDE coefficient functions to pushforwards from a reference measure…