Vayer, Titouan

14 publications

NeurIPS 2025 Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon, Laetitia Chapel, Titouan Vayer

TMLR 2025 Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer

MLJ 2025 Pasco (PArallel Structured COarsening): An Overlay to Speed up Graph Clustering Algorithms Etienne Lasalle, Rémi Vaudaine, Titouan Vayer, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai

ICLR 2025 Schur's Positive-Definite Network: Deep Learning in the SPD Cone with Structure Can Pouliquen, Mathurin Massias, Titouan Vayer

JMLR 2023 Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning Titouan Vayer, Rémi Gribonval

NeurIPSW 2023 Interpolating Between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty

ECML-PKDD 2023 Learning Graphical Factor Models with Riemannian Optimization Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy

NeurIPSW 2023 Optimal Transport with Adaptive Regularisation Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

NeurIPS 2023 SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

ICLR 2022 Semi-Relaxed Gromov-Wasserstein Divergence and Applications on Graphs Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

NeurIPS 2022 Template Based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

TMLR 2022 Time Series Alignment with Global Invariances Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard

ICML 2021 Online Graph Dictionary Learning Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty

MLOSS 2021 POT: Python Optimal Transport Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T.H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer