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News/In-span learning: adapting reduced-order models using their own predictions
arxiv
PublishedJuly 23, 2026 at 4:00 AM

In-span learning: adapting reduced-order models using their own predictions

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arXiv:2607.02937v2 Announce Type: replace Abstract: Reduced-order models compress high-dimensional dynamics into low-dimensional representations that can be evaluated rapidly, but they lose accuracy when online dynamics drift beyond the training data. Adaptive methods address this by updating the su

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