Surag Nair

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding

Diffusion models excel at capturing the natural design spaces of images, molecules, DNA, RNA, and protein sequences. However, rather than merely generating designs that are natural, we often aim to optimize downstream reward functions while preserving the naturalness of these design spaces. Existing…