3 papers
stat.ME2026
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…
math.OC2025
Learning truly monotone operators with applications to nonlinear inverse problems
Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti +1
This article introduces a novel approach to learning monotone neural networks through a newly defined penalization loss. The proposed method is particularly effective in solving cl…
astro-ph.IM2024
Africanus III. pfb-imaging -- a flexible radio interferometric imaging suite
Hertzog L. Bester, Jonathan S. Kenyon, Audrey Repetti +8
The popularity of the CLEAN algorithm in radio interferometric imaging stems from its maturity, speed, and robustness. While many alternatives have been proposed in the literature,…