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Koopman Kernel Regression
Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche (2023)
Advances in Neural Information Processing Systems, 36, 16207–16221
Paper Talk Slides/Poster/Video -
Koopman-Equivariant Gaussian Processes
Petar Bevanda, Max Beier, Alexandre Capone, Stefan Sosnowski, Sandra Hirche, Armin Lederer (2025)
Proceedings of the 28th International Conference on Artificial Intelligence and Statistics
Paper -
Nonparametric Control Koopman Operators
Petar Bevanda, Bas Driessen, Lucian Cristian Iacob, Stefan Sosnowski, Roland Toth, Sandra Hirche (2024)
arXiv preprint arXiv:2405.07312.
Paper Slides -
Kernel-Based Optimal Control: An Infinitesimal Generator Approach
Petar Bevanda, Nicolas Hosichen, Tobias Wittmann, Jan Brüdigam, Sandra Hirche, Boris Houska (2024)
To appear at 7th Annual Learning for Dynamics & Control Conference (L4DC 2025)
Paper Slides -
Diffeomorphically Learning Stable Koopman Operators
Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche (2022)
IEEE Control Systems Letters, 6, 3427–3432.
Paper Talk -
Gaussian Process-Based Representation Learning via Timeseries Symmetries
Petar Bevanda, Max Beier, Armin Lederer, Alexandre Capone, Stefan Sosnowski, Sandra Hirche (2024)
ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling
Paper