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 …
Category: Headlines
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 …
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 …
Mar 15
Paper accepted at ICLR 2023
We are glad to announce that the paper “Self-supervised learning with rotation-invariant kernels” (Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval) has been accepted at the 11th Interanational Conference on Representation Learning (Kigali, May 2023). This project is a collaboration betwen OCKHAM team and valeo.ai.
Oct 27
One paper accepted at Transaction of Machine Learning Research
We are glad to announce that the following paper with contributions from the Dante team have been accepted for publication in the Transaction of Machine Learning Research (TMLR) journal: Time Series Alignment with Global Invariances. Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
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, …