Bartosz Zambroń

Introduction Machine Learning, ML, methods are having transformative impact on fields as diverse as language models,1 image2 and speech recognition,3 games of strategy,4 protein folding,5 and more,6 and are also being actively studied in synthetic chemistry,7 albeit with mixed outcomes.8 On one hand, in synthesis planning, the all-data-driven models9 suffer from low quality of data and lack of negative examples and, as such, are not on par with hybrid models combining expert-coded rules with...