Hermite-NGP stores derivatives in multi-resolution hash encodings and uses curriculum training to enable analytic differential operators, reporting up to 20x lower error and 2-10x faster convergence than prior neural PDE methods.
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Hermite-NGP: Gradient-Augmented Hash Encoding for Learning PDEs
Hermite-NGP stores derivatives in multi-resolution hash encodings and uses curriculum training to enable analytic differential operators, reporting up to 20x lower error and 2-10x faster convergence than prior neural PDE methods.