arxiv
PublishedNovember 14, 2026 at 5:00 AM
GenPFN: An In-Context Tabular Foundation Model Approach for Augmenting Small Datasets in Engineering
Publisher summary· verbatim
arXiv:2611.14804v1 Announce Type: new Abstract: Costly simulations and experiments limit the data available for engineering design. This paper proposes GenPFN, a training-free candidate generator guided by a pretrained tabular Prior-Data Fitted Network (TabPFN) classifier with fixed weights. The con
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Originally published on arxiv ↗