We just had the following papers accepted ! Congrats to everyone especially Phd students (S. Houache and A; Joundi)
From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent, A. Joundi, Y. Traonmilin, J.-F. Aujol, Accepted to Conference on Parsimony and Learning, 2026.
A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm, O. Leong, Y. Traonmilin, accepted to AISTATS 2026.
On the impact of the parametrization of deep convolutional neural networks on post-training quantization, S Houache, J.-F. Aujol, Y. Traonmilin, To appear in Transactions of machine learning research, 2026.