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Sparse discovery of differential equations based on multi-fidelity Gaussian process
Sparse identification of differential equations aims to compute the analytic expressions from the observed data explicitly.
Koopman operator learning using invertible neural networks
In Koopman operator theory, a finite-dimensional nonlinear system is transformed into an infinite but linear system using a set of observable functions.
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