3 papers
stat.ML2026
Estimation of instrument and noise parameters for inverse problem based on prior diffusion model
Jean-François Giovannelli
This article addresses the issue of estimating observation parameters (response and error parameters) in inverse problems. The focus is on cases where regularization is introduced…
stat.ML2026
A Gibbs posterior sampler for inverse problem based on prior diffusion model
Jean-François Giovannelli
This paper addresses the issue of inversion in cases where (1) the observation system is modeled by a linear transformation and additive error, (2) the problem is ill-posed and reg…
eess.IV2025
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT
Liam Moroy, Guillaume Bourmaud, Frédéric Champagnat +1
Plug&Play (PnP) diffusion models are state-of-the-art methods in computed tomography (CT) reconstruction. Such methods usually consider applications where the sinogram contains a s…