Mathurin MASSIAS
Author's posts
Jun 20
New paper on convex neural networks accepted at JMIV!
The paper Convexity in ReLU Neural Networks: beyond ICNNs? by Anne Gagneux, Mathurin Massias, Emmanuel Soubies and Remi Gribonval, was accepted for publication at the Journal of Mathematical Image and Vision. https://arxiv.org/abs/2501.03017 In this paper, we develop a toolkit to characterize neural networks implementing convex functions, which play a prominent role in Optimal Transport and …
Apr 22
SenHub IA Summer school on generative models @Dakar
Mathurin Massias, Quentin Bertrand and Rémi Emonet (INRIA MALICE) had the pleasure to give a 2 day class on generative artificial intelligence during the SenHub IA summer school held in Dakar from April 7th to April 11th. Our material is available on Github: https://github.com/QB3/SenHubIA2025
Mar 13
2 papers and one blog post accepted at ICLR 2025!
The team is happy to announce two accepted works at ICLR 2025:– Can Pouliquen, Mathurin Massias, Titouan Vayer: Schur’s Positive-Definite Network: Deep Learning in the SPD cone with structure, https://arxiv.org/abs/2406.09023– Ségolène Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl: PnP-Flow: Plug-and-Play Image Restoration with Flow Matching, https://arxiv.org/abs/2410.02423 In addition, the blog post on Flow Matching models …
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, …
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