Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. - Marien Renaud; Jiaming Liu 001; Valentin De Bortoli; Andrés Almansa; Ulugbek Kamilov (ICLR, 2024)

Plug-and-Play image restoration with Stochastic deNOising REgularization. - Marien Renaud; Jean Prost; Arthur Leclaire; Nicolas Papadakis (ICML, 2024)

Gradient correlation is a key ingredient to accelerate SGD with momentum. - Julien Hermant; Marien Renaud; Jean-François Aujol; Charles Dossal; Aude Rondepierre (ICLR, 2025)

Convergence Analysis of a Proximal Stochastic Denoising Regularization Algorithm. - Marien Renaud; Julien Hermant; Nicolas Papadakis (SSVM (2), 2025)

Equivariant Denoisers for Image Restoration. - Marien Renaud; Arthur Leclaire; Nicolas Papadakis (SSVM (1), 2025)

Audio signal interpolation using optimal transportation of spectrograms. - David Valdivia; Marien Renaud; Elsa Cazelles; Cédric Févotte (SSP, 2025)

From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling. - Marien Renaud; Valentin De Bortoli; Arthur Leclaire; Nicolas Papadakis (CoRR, 2025)