Re-evaluating sample efficiency in de novo molecule generation
NeutralArtificial Intelligence
A recent study highlights the challenges of data inefficiency in de novo molecule generation, particularly when integrating deep generative models with costly molecule scoring functions. This research is significant as it aims to enhance sample efficiency, which could lead to more effective drug design processes and ultimately improve the development of new medications.
— Curated by the World Pulse Now AI Editorial System


