DOODL learns a dictionary of spectral dynamics to approximate a manifold of related dynamical systems, enabling compact representations and improved operator estimation from short or partial trajectories.
Since the problem is not convex, we use an initialization of based on proximity to dictionary atoms, i.e
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Geometric Dictionary Learning of Dynamical Systems with Optimal Transport
DOODL learns a dictionary of spectral dynamics to approximate a manifold of related dynamical systems, enabling compact representations and improved operator estimation from short or partial trajectories.