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Max Beier
Max Beier
Research Assistant, Chair of Information-oriented Control, Technical University of Munich
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
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
24*2022
Koopman kernel regression
P Bevanda, M Beier, A Lederer, S Sosnowski, E Hüllermeier, S Hirche
Advances in Neural Information Processing Systems 36, 2024
82024
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
72022
A Non-recurrence and Koopman Operator Theory
P Bevanda, M Beier, A Lederer, S Sosnowski, E Hüllermeier, S Hirche
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Articles 1–4