2025
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
AISTATS 2025poster
We consider an operator-based latent Markov representation of a stochastic nonlinear dynamical system, where the stochastic evolution of the latent state embedded in a reproducing kernel Hilbert space is described with the corresponding transfer operator, and develop a spectral method to learn this…