Neural operators reframed via an auxiliary base-space act as efficient interpolators for finite-dimensional functions, matching or exceeding MLPs and KANs in accuracy with fewer parameters on analytic benchmarks and achieving 198 keV RMSE on nuclear mass corrections.
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Neural Operators as Efficient Function Interpolators
Neural operators reframed via an auxiliary base-space act as efficient interpolators for finite-dimensional functions, matching or exceeding MLPs and KANs in accuracy with fewer parameters on analytic benchmarks and achieving 198 keV RMSE on nuclear mass corrections.