2 papers
cs.CV2026
Beyond Best-of-: Prior-Consistent DAPS for Ambiguous Nonlinear Inverse Problems
Merve Kocabas, Benjamin A. Burns, Andreas Geiger +2
Diffusion models have become strong priors for solving inverse problems. However, nonlinear inverse problems such as phase retrieval remain challenging when multiple measurement-co…
cs.LG2026
When, why, and how do diffusion posterior samplers fail? A finite-sample lens
Benjamin A. Burns, Sara Fridovich-Keil
Diffusion models have excellent capacity to model complex distributions of natural data, which has made them a popular and effective choice for posterior sampling in imaging invers…