Denis C. Shields

A new framework for evaluating model out-of-distribution generalisation for the biochemical domain

Quantifying model generalization to out-of-distribution data has been a longstanding challenge in machine learning. Addressing this issue is crucial for leveraging machine learning in scientific discovery, where models must generalize to new molecules or materials. Current methods typically split da…