Mathurin MASSIAS
Author's posts
Apr 09
Best poster prize for Anne Gagneux @SMAI MODE
Anne Gagneux, PhD student in the team, won the best poster award at the SMAI MODE days 2024, for her M2 internship on “Automatic and unbiased coefficients clustering with non-convex SLOPE”. The poster is available here. Congratulations Anne!
Mar 19
One paper accepted at SIAM Journal on Imaging Sciences
The paper IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration, by Guillaume Lauga, Elisa Riccietti, Nelly Pustelnik and Paulo Gonçalves, was accepted for publication at SIAM Journal on Imaging Sciences! This work presents a multilevel framework for inertial and inexact proximal algorithms, that encompasses multilevel versions of classical algorithms …
Oct 03
Three papers accepted at NeurIPS 2023
Three papers will be presented this year at NeurIPS in New Orleans. Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows with Sibylle Marcotte, Rémi Gribonval and Gabriel Peyré. Oral presentation. The purpose of this article to expose the definition and basic properties of “conservation laws”, which are maximal sets of …
Jun 26
(Français) Lancement de l’équipe-projet Ockham
Sorry, this entry is only available in French.
Jun 16
6 papers accepted at GRETSI
The following papers will be presented by the team at the next GRETSI: “Sparsity in neural networks can improve their privacy“, Antoine Gonon, Léon Zheng, Clément Lalanne, Quoc-Tung Le, Guillaume Lauga, Can Pouliquen. https://hal.science/hal-04062317v2 “Implicit differentiation for hyperparameter tuning the weighted Graphical Lasso“, Can Pouliquen, Paulo Gonçalves, Mathurin Massias, Titouan Vayer. “Méthodes multi-niveaux pour la …
Oct 26
Three papers accepted at NeurIPS 2022
We are glad to announce that the following papers with contributions from the Dante team have been accepted for publication at the NeurIPS 2022 conference: – Template based Graph Neural Network with Optimal Transport Distances, C. Vincent-Cuaz, R. Flamary, M. Corneli, T. Vayer & N. Courty. – Benchopt: Reproducible, efficient and collaborative optimization benchmarks, T. Moreau, …
Log In
Please log into the site.
