Development of Machine Learning Models for Domain Generalization in the Chemical Space

Invited talk at Boehringer Ingelheim presenting an overview of my PhD research on machine learning for domain generalization in chemical space, including task-hardness quantification for transfer learning and robust evaluation of molecular property prediction models on out-of-distribution data.

Authors: Hosein Fooladi and Johannes Kirchmair.