Machine Learning, Diffusion Models, Drug Discovery.
Previously, deep generative models for small molecules typically fell into two categories: all-at-once and atom-by-atom generation. The former assumes atom independence during generation, which is unrealistic given molecule stability hinges on specific configurations. Conversely, atom-by-atom