140 citations · 148 across the 9 of their papers we have counts for
3 papers · 1 filter
FastGuide: Accelerating Reward Guidance for Diffusion Large Language Models
Darshan Thaker, Lachlan Ewen MacDonald, René Vidal
Gradient-based reward guidance provides a flexible way to use downstream reward models to control masked diffusion language models at inference time. However, its computational cos…
ANaLOG: Anisotropic Native-Latent Operator Guidance for Solving Inverse Problems
Darshan Thaker, Lachlan Ewen MacDonald, René Vidal
Native-latent guidance is a recent paradigm for solving inverse problems with latent diffusion models. It replaces repeated evaluations of the image-space forward model, each requi…
Scale-Cascaded Diffusion Models for Super-Resolution in Medical Imaging
Darshan Thaker, Mahmoud Mostapha, Radu Miron +2
Diffusion models have been increasingly used as strong generative priors for solving inverse problems such as super-resolution in medical imaging. However, these approaches typical…