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arXiv Machine Learning By Lipai Huang, Adithi Srinath, Manas Singh, Junwei Ma, Ali Mostafavi

Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models

Read the original on arXiv Machine Learning →

arXiv:2606. 05265v1 Announce Type: new Abstract: Near-real-time flood depth prediction demands surrogate models that are accurate, fast, and transferable across watersheds.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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