A Neural ODE framework with sparse thresholding and Stiefel-manifold coordinate learning recovers moment-closure ODEs from sparse, irregular PDE observation data, and outperforms an analytic closure model on Fisher-KPP extrapolation.
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Robust Moment Identification for Nonlinear PDEs via a Neural ODE Approach
A Neural ODE framework with sparse thresholding and Stiefel-manifold coordinate learning recovers moment-closure ODEs from sparse, irregular PDE observation data, and outperforms an analytic closure model on Fisher-KPP extrapolation.