A hybrid variational inference method for neural SDEs that initializes the control function with the closed-form optimal linear control, then learns a neural residual.
Amortized reparametrization: efficient and scalable variational inference for latent sdes
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Efficient Training of Neural SDEs Using Stochastic Optimal Control
A hybrid variational inference method for neural SDEs that initializes the control function with the closed-form optimal linear control, then learns a neural residual.