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News/Into the danger zone: stable extrapolation in high-dimensional function and operator learning
arxiv
PublishedOctober 1, 2026 at 4:00 AM

Into the danger zone: stable extrapolation in high-dimensional function and operator learning

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arXiv:2609.36709v1 Announce Type: cross Abstract: Out-of-distribution (OOD) generalization is a central challenge in scientific machine learning. We study regression problems in which the test distribution differs from the training distribution and ask: under what assumptions on the target function

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