Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs

Kevin Course, Prasanth B. Nair

We consider the problem of inferring latent stochastic differential equations (SDEs) with a time and memory cost that scales independently with the amount of data, the total length…