PILIR mitigates spectral bias in PINNs by encoding explicit spatial locality via a learnable grid and synthesizing continuous fields with a generative neural operator, yielding higher accuracy on high-frequency PDE features.
Score-based physics- informed neural networks for high-dimensional fokker– planck equations.SIAM Journal on Scientific Computing, 47(3):C680–C705
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PILIR: Physics-Informed Local Implicit Representation
PILIR mitigates spectral bias in PINNs by encoding explicit spatial locality via a learnable grid and synthesizing continuous fields with a generative neural operator, yielding higher accuracy on high-frequency PDE features.