2 papers
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.LG2025
Safe machine learning model release from Trusted Research Environments: The SACRO-ML package
Jim Smith, Richard J. Preen, Andrew McCarthy +8
We present SACRO-ML, an integrated suite of open source Python tools to facilitate the statistical disclosure control (SDC) of machine learning (ML) models trained on confidential…