274 citations · 1.8k across the 48 of their papers we have counts for
4 papers · 1 filter
Transfer operators on graphs: Spectral clustering and beyond
Stefan Klus, Maia Trower
Graphs and networks play an important role in modeling and analyzing complex interconnected systems such as transportation networks, integrated circuits, power grids, citation grap…
Feature space approximation for kernel-based supervised learning
Patrick Gelß, Stefan Klus, Ingmar Schuster +1
We propose a method for the approximation of high- or even infinite-dimensional feature vectors, which play an important role in supervised learning. The goal is to reduce the size…
Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions
Stefan Klus, Sebastian Peitz, Ingmar Schuster
Kernel transfer operators, which can be regarded as approximations of transfer operators such as the Perron-Frobenius or Koopman operator in reproducing kernel Hilbert spaces, are…
Variational Koopman models: slow collective variables and molecular kinetics from short off-equilibrium simulations
Hao Wu, Feliks Nüske, Fabian Paul +3
Markov state models (MSMs) and Master equation models are popular approaches to approximate molecular kinetics, equilibria, metastable states, and reaction coordinates in terms of…