292 citations · 292 across the 2 of their papers we have counts for
2 papers
cs.CR2022
Encrypted machine learning of molecular quantum properties
Jan Weinreich, Guido Falk von Rudorff, O. Anatole von Lilienfeld
Large machine learning models with improved predictions have become widely available in the chemical sciences. Unfortunately, these models do not protect the privacy necessary with…
physics.chem-ph2022★ 292 cited
SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel +28
Artificial intelligence (AI) and machine learning (ML) are expanding in popularity for broad applications to challenging tasks in chemistry and materials science. Examples include…