AINeutralarXiv – CS AI · 8h ago6/10
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Neural Operators as Efficient Function Interpolators
Researchers propose a novel application of neural operators (NOs) for finite-dimensional function interpolation, demonstrating they can outperform standard neural networks while using significantly fewer parameters. The approach is validated on synthetic benchmarks and applied to nuclear mass prediction, achieving competitive accuracy with high parameter efficiency.