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Gelß, Patrick and Klus, Stefan and Schuster, Ingmar and Schütte, Christof (2021) Feature space approximation for kernel-based supervised learning. Knowledge-Based Systems, 221 .

Niemann, Jan-Hendrik and Klus, Stefan and Schütte, Christof (2021) Data-driven model reduction of agent-based systems using the Koopman generator. PLOS ONE, 16 (5).

Bittracher, Andreas and Klus, Stefan and Hamzi, Boumediene and Koltai, Péter and Schütte, Christof (2020) Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds. Journal of Nonlinear Science, 31 (3).

Klus, Stefan and Nüske, Felix and Hamzi, Boumediene (2020) Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator. entropy, 22 .

Klus, Stefan (2020) Data-driven analysis of complex dynamical systems. Refubium . pp. 1-174.

Klus, Stefan and Nüske, Feliks and Peitz, Sebastian and Niemann, Jan-Hendrik and Clementi, Cecilia and Schütte, Christof (2020) Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Physica D: Nonlinear Phenomena, 406 (132416).

Mollenhauer, Mattes and Schuster, Ingmar and Klus, Stefan and Schütte, Christof (2020) Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces. Advances in Dynamics, Optimization and Computation . pp. 109-131.

Klus, Stefan and Husic, Brooke E. and Mollenhauer, Mattes and Noé, Frank (2019) Kernel methods for detecting coherent structures in dynamical data. Chaos, 29 (12).

Klus, S. and Schuster, I. and Muandet, K. (2019) Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces. Journal of Nonlinear Science, 30 . pp. 283-315.

Klus, Stefan and Bittracher, Andreas and Schuster, Ingmar and Schütte, Christof (2018) A kernel-based approach to molecular conformation analysis. Journal of Chemical Physics, 149 (244109).