A meta-network learns to adapt Gaussian basis geometry across parametric PDE families, which a physics-informed least-squares corrector then refines for improved accuracy.
Extreme learning machine collocation for the numerical solution of elliptic pdes with sharp gradients.Computer Methods in Applied Mechanics and Engineering, 387:114188, 2021
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Meta-Learned Basis Adaptation for Parametric Linear PDEs
A meta-network learns to adapt Gaussian basis geometry across parametric PDE families, which a physics-informed least-squares corrector then refines for improved accuracy.