109 citations · 367 across the 19 of their papers we have counts for
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cs.LG2026
Getting Your Guidance Weights Right in diffusion and flow-matching posterior sampling
Liam Moroy, Jean-François Giovannelli, Yoann Altmann +3
Training-free posterior sampling methods, also known as Plug-and-Play methods, leverage pretrained unconditional diffusion or flow-matching models to solve inverse problems. Most e…
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…