New preprint
We have uploaded a new preprint « Sketched learning for image denoising« , Hui Shi, Yann Traonmilin and Jean-François Aujol. Abstract: The Expected Patch Log-Likelihood algorithm (EPLL) and its extensions have shown good performances for image denoising. It estimates a Gaussian mixture model (GMM) from a training database of image patches and it uses the GMM as […]
Talk at iTWIST 2020
I will give a talk about our work on « Projected gradient descent for non-convex sparse spike estimation » at iTWIST 2020 in Nantes.
New preprint
We upload a new preprint on non-convex methods for linear inverse problems with low-dimensional models with Jean-François Aujol and Arthur Leclaire : « The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension » Abstract: « Non-convex methods for linear inverse problems with low-dimensional models have emerged as an alternative […]
Chargement en cours…
Un problème est survenu. Veuillez actualiser la page et/ou essayer à nouveau.
Yann Traonmilin
I am a CNRS researcher in the IOP team of the Institut de Mathématiques de Bordeaux.
Follow my research