most citedGRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

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cs.LG2025

Uncertainty-Guided Model Selection for Tabular Foundation Models in Biomolecule Efficacy Prediction

Jie Li, Andrew McCarthy, Zhizhuo Zhang +1

In-context learners like TabPFN are promising for biomolecule efficacy prediction, where established molecular feature sets and relevant experimental results can serve as powerful…

cs.LG2022★ 2 cited

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

Emily Jefferson, James Liley, Maeve Malone +16

TREs are widely, and increasingly used to support statistical analysis of sensitive data across a range of sectors (e.g., health, police, tax and education) as they enable secure a…