Efficient Training of Neural SDEs Using Stochastic Optimal Control

Rembert Daems, Manfred Opper, Guillaume Crevecoeur +1

We present a hierarchical, control theory inspired method for variational inference (VI) for neural stochastic differential equations (SDEs). While VI for neural SDEs is a promisin…