most citedVariance representations and convergence rates for data-driven approximations of Koopman operators

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces

Septimus Boshoff, Sebastian Peitz, Stefan Klus

The Koopman operator, as a linear representation of a nonlinear dynamical system, has been attracting attention in many fields of science. Recently, Koopman operator theory has bee…

math.DS2024★ 2 cited

Variance representations and convergence rates for data-driven approximations of Koopman operators

Friedrich M. Philipp, Manuel Schaller, Septimus Boshoff +3

We rigorously derive novel error bounds for extended dynamic mode decomposition (EDMD) to approximate the Koopman operator for discrete- and continuous time (stochastic) systems; b…