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New PhD
Congrats Dr Antoine Guennec who defended is PhD thesis yesterday on “Sparse models and deep priors for image decomposition into structure and texture”. He gave very nice contributions with modern methods on a challenging ill-posed problem. antoineguennec.perso.math.cnrs.fr
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Talk at SMAI conference
I will be presenting my work on optimal low-dimensional recovery at SMAI 2025 (Thursday June 3rd).
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Paper accepted
Congrats to Ali Joundi for his paper Max-sparsity atomic autoencoders with application to inverse problems, A. Joundi, A. Newson, Y. Traonmilin, 2024. Accepted to SSVM 20025 . Abstratc: “An atomic autoencoder is a neural network architecture that decomposes an image as a sum of low dimensional atoms. While it is efficient for image datasets which…
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Workshop Mathématiques de l’IA
Le premier workshop de l’IMB “Mathématiques de l’IA” se déroulera le 26 mai 2025, à l’Institut de Mathématiques de Bordeaux en Salle de Conférence. Le programme complet est disponible :
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Paper acepted
Our paper Joint structure-texture low dimensional modeling for image decomposition with a plug and play framework, A. Guennec, J.- F. Aujol, Y. Traonmilin has been accepted for publication in Siam journal on Imaging Sciences.
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New preprint
We uploaded our new preprint: “Towards optimal algorithms for the recovery of low-dimensional models with linear rates” Y. Traonmilin , J.-F. Aujol, A. Guennec Abstract: We consider the problem of recovering elements of a low-dimensional model from linear measurements. From signal and image processing to inverse problems in data science, this question has been at…
Yann Traonmilin
I am a CNRS researcher in the IOP team of the Institut de Mathématiques de Bordeaux.