Stefan Klus
Stefan Klus
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On the numerical approximation of the Perron-Frobenius and Koopman operator
S Klus, P Koltai, C Schütte
arXiv preprint arXiv:1512.05997, 2015
On the numerical approximation of the Perron-Frobenius and Koopman operator
S Klus, P Koltai, C Schütte
arXiv preprint arXiv:1512.05997, 2015
Data-driven model reduction and transfer operator approximation
S Klus, F Nüske, P Koltai, H Wu, I Kevrekidis, C Schütte, F Noé
Journal of Nonlinear Science 28 (3), 985-1010, 2018
Koopman operator-based model reduction for switched-system control of PDEs
S Peitz, S Klus
Automatica 106, 184-191, 2019
Variational Koopman models: slow collective variables and molecular kinetics from short off-equilibrium simulations
H Wu, F Nüske, F Paul, S Klus, P Koltai, F Noé
The Journal of chemical physics 146 (15), 154104, 2017
Tensor-based dynamic mode decomposition
S Klus, P Gelß, S Peitz, C Schütte
Nonlinearity 31 (7), 3359, 2018
Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces
S Klus, I Schuster, K Muandet
Journal of Nonlinear Science 30 (1), 283-315, 2020
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
S Klus, F Nüske, S Peitz, JH Niemann, C Clementi, C Schütte
Physica D: Nonlinear Phenomena 406, 132416, 2020
Transition manifolds of complex metastable systems
A Bittracher, P Koltai, S Klus, R Banisch, M Dellnitz, C Schütte
Journal of nonlinear science 28 (2), 471-512, 2018
Multidimensional approximation of nonlinear dynamical systems
P Gelß, S Klus, J Eisert, C Schütte
Journal of Computational and Nonlinear Dynamics 14 (6), 2019
Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives
S Hanke, S Peitz, O Wallscheid, S Klus, J Böcker, M Dellnitz
arXiv preprint arXiv:1804.00854, 2018
A kernel-based approach to molecular conformation analysis
S Klus, A Bittracher, I Schuster, C Schütte
The Journal of chemical physics 149 (24), 244109, 2018
A set-oriented numerical approach for dynamical systems with parameter uncertainty
M Dellnitz, S Klus, A Ziessler
SIAM Journal on Applied Dynamical Systems 16 (1), 120-138, 2017
Tensor-based algorithms for image classification
S Klus, P Gelß
Algorithms 12 (11), 240, 2019
Kernel methods for detecting coherent structures in dynamical data
S Klus, BE Husic, M Mollenhauer, F Noé
Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 123112, 2019
Nearest-neighbor interaction systems in the tensor-train format
P Gelß, S Klus, S Matera, C Schütte
Journal of Computational Physics 341, 140-162, 2017
An efficient algorithm for the parallel solution of high-dimensional differential equations
S Klus, T Sahai, C Liu, M Dellnitz
Journal of computational and applied mathematics 235 (9), 3053-3062, 2011
Singular value decomposition of operators on reproducing kernel Hilbert spaces
M Mollenhauer, I Schuster, S Klus, C Schütte
Proceedings of the Workshop on Dynamics, Optimization and Computation held …, 2020
Kernel conditional density operators
I Schuster, M Mollenhauer, S Klus, K Muandet
International Conference on Artificial Intelligence and Statistics, 993-1004, 2020
Kernel-based approximation of the Koopman generator and Schrödinger operator
S Klus, F Nüske, B Hamzi
Entropy 22 (7), 722, 2020
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