248 citations · 771 across the 28 of their papers we have counts for
3 papers · 1 filter
A Plug-and-Play Method with Inpainting Network for Bayesian Uncertainty Quantification in Imaging
Xiaoyu Wang, Michael Tang, Audrey Repetti
We contribute to an uncertainty quantification problem in imaging that evaluates a hypothesis test questioning the existence of local "artefacts" appearing in the maximum a posteri…
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
Sampling-based algorithms are classical approaches to perform Bayesian inference in inverse problems. They provide estimators with the associated credibility intervals to quantify…
Scalable Bayesian uncertainty quantification in imaging inverse problems via convex optimization
Audrey Repetti, Marcelo Pereyra, Yves Wiaux
We propose a Bayesian uncertainty quantification method for large-scale imaging inverse problems. Our method applies to all Bayesian models that are log-concave, where maximum-a-po…