Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation
arXiv:2411.05472v2 Announce Type: replace
Abstract: The paradigm shift toward structure-driven molecule generation has been propelled by advances in deep generative models, such as variational auto-encoders and diffusion models. However, these generat…