Research

Compute-optimal data scaling for neural surrogates via multi-fidelity training

Single source1 source14 Oct 2026

arXiv:2610.17221v1 Announce Type: cross Abstract: Neural surrogates for Partial Differential Equations (PDEs) are usually trained on synthetic data from numerical simulators.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.17221

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