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Max Beier
Max Beier
Research Assistant, Chair of Information-oriented Control, Technical University of Munich
在 tum.de 的电子邮件经过验证 - 首页
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Diffeomorphically learning stable Koopman operators
P Bevanda, M Beier, S Kerz, A Lederer, S Sosnowski, S Hirche
IEEE Control Systems Letters 6, 3427-3432, 2022
31*2022
Koopman kernel regression
P Bevanda, M Beier, A Lederer, S Sosnowski, E Hüllermeier, S Hirche
Advances in Neural Information Processing Systems 36, 2024
122024
Towards Data-driven LQR with Koopmanizing Flows⋆
P Bevanda, M Beier, S Heshmati-Alamdari, S Sosnowski, S Hirche
IFAC-PapersOnLine 55 (15), 13-18, 2022
92022
Gaussian Process-Based Representation Learning via Timeseries Symmetries
P Bevanda, M Beier, A Lederer, A Capone, SG Sosnowski, S Hirche
ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 0
A Non-recurrence and Koopman Operator Theory
P Bevanda, M Beier, A Lederer, S Sosnowski, E Hüllermeier, S Hirche
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