MetaKoopman: Bayesian meta-learning of Koopman operators for modeling nonlinear dynamics under distribution shifts
Read the original at arxiv.org→arXiv:2607.26345v1 Announce Type: new Abstract: Modeling and forecasting nonlinear dynamics under distribution shifts is essential for robust decision-making in real-world systems. In this work, we propose...
Original headline: "MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts"
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- Jul 30, 04:00 UTC arXiv cs.LG lead source MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts