Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data

Nicolò Botteghi, Mengwu Guo, Christoph Brune

This work proposes a Stochastic Variational Deep Kernel Learning method for the data-driven discovery of low-dimensional dynamical models from high-dimensional noisy data. The fram…