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 written by Anne Gagneux, Ségolène Martin, Rémi Emonet, Quentin Bertrand and Mathurin Massias was accepted at the blog post track. Its quality was greatly appreciated when advertised over social networks. A preprint version is available at https://dl.heeere.com/cfm/
