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Learnable Splines for Unstructured Neural Operators

This story is from 2026-10-20. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2610.22446v1 Announce Type: new Abstract: Neural operators approximate solution operators of partial differential equations at a fraction of the cost of numerical solvers. Efficient grid-based architectures such as the Fourier neural operator (FNO) assume uniform rectangular grids, whereas en…

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  1. 2026-10-20 04:00 · arXiv cs.AI
    Learnable Splines for Unstructured Neural Operators

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