Titouan Vayer

Publications

Article dans une revue (7)

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues Van Assel,Cédric Vincent-Cuaz,Nicolas Courty,Rémi Flamary,Pascal Frossardet al. Transactions on Machine Learning Research Journal, 2025 Article dans une revue hal-04726195v1
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms Etienne Lasalle,Rémi Vaudaine,Titouan Vayer,Pierre Borgnat,Rémi Gribonvalet al. Machine Learning, 2025, 114, pp.212. ⟨10.1007/s10994-025-06837-7⟩ Article dans une revue hal-04837207v2
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning Titouan Vayer,Rémi Gribonval Journal of Machine Learning Research, 2023, 24 (149), pp.1--51 Article dans une revue hal-03461492v3
Time Series Alignment with Global Invariances Titouan Vayer,Romain Tavenard,Laetitia Chapel,Nicolas Courty,Rémi Flamaryet al. Transactions on Machine Learning Research Journal, 2022 Article dans une revue hal-02473959v1
POT : Python Optimal Transport Rémi Flamary,Nicolas Courty,Alexandre Gramfort,Mokhtar Zahdi Alaya,Aurélie Boisbunonet al. Journal of Machine Learning Research, 2021 Article dans une revue hal-03264013v1
Subspace Detours Meet Gromov-Wasserstein Clément Bonet,Titouan Vayer,Nicolas Courty,François Septier,Lucas Drumetz Algorithms, 2021, Special Issue Optimal Transport: Algorithms and Applications, 14 (12), pp.366. ⟨10.3390/a14120366⟩ Article dans une revue hal-03500536v1
Fused Gromov-Wasserstein Distance for Structured Objects Titouan Vayer,Laetitia Chapel,Rémi Flamary,Romain Tavenard,Nicolas Courty Algorithms, 2020, 13 (9), pp.212. ⟨10.3390/a13090212⟩ Article dans une revue hal-02971153v1

Communication dans un congrès (19)

Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Can Pouliquen,Mathurin Massias,Titouan Vayer International Conference on Learning Representations ICLR 2025, Apr 2025, Singapore, Singapore Communication dans un congrès hal-04726325v2
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity Pierre Houedry,Nicolas Courty,Florestan Martin-Baillon,Laetitia Chapel,Titouan Vayer NeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems, Dec 2025, San diego (Californie), United States Communication dans un congrès hal-05088161v2
En quête de précision : Un benchmark open-source et un solveur polyvalent pour le Graphical Lasso Can Pouliquen,Paulo Gonçalves,Titouan Vayer,Mathurin Massias GRETSI 2025 - XXXème Colloque Francophone de Traitement du Signal et des Images, Aug 2025, Strasboug, France. pp.1-3 Communication dans un congrès hal-05128230v1
Optimal Transport with Adaptive Regularisation Hugues Van Assel,Titouan Vayer,Remi Flamary,Nicolas Courty NeurIPS OTML Workshop, Dec 2023, New Orleans, France Communication dans un congrès hal-04229636v1
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues Van Assel,Cédric Vincent-Cuaz,Titouan Vayer,Rémi Flamary,Nicolas Courty NeurIPS OTML Workshop, Dec 2023, New Orleans, United States Communication dans un congrès hal-04356797v1
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities Hugues Van Assel,Titouan Vayer,Rémi Flamary,Nicolas Courty Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS), Dec 2023, New Orleans, United States Communication dans un congrès hal-04103326v2
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso Can Pouliquen,Paulo Gonçalves,Mathurin Massias,Titouan Vayer GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble (France), France. pp.1-4 Communication dans un congrès hal-04151796v1
Learning Graphical Factor Models with Riemannian Optimization Alexandre Hippert-Ferrer,Florent Bouchard,Ammar Mian,Titouan Vayer,Arnaud Breloy Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2023), Sep 2023, Torino, Italy. ⟨10.1007/978-3-031-43421-1_21⟩ Communication dans un congrès hal-04249001v1
Entropic Wasserstein component analysis Antoine Collas,Titouan Vayer,Rémi Flamary,Arnaud Breloy IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep 2023, Rome, Italy Communication dans un congrès hal-04022713v1
Optimisation Riemannienne pour l'apprentissage de graphes structurés Alexandre Hippert-Ferrer,Florent Bouchard,Ammar Mian,Titouan Vayer,Arnaud Breloy GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.585-588 Communication dans un congrès hal-04228029v1
Template based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz,Rémi Flamary,Marco Corneli,Titouan Vayer,Nicolas Courty NeurIPS 2022 – 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States Communication dans un congrès hal-03839517v1
Semi-relaxed Gromov-Wasserstein divergence for graphs classification Cédric Vincent-Cuaz,Rémi Flamary,Marco Corneli,Titouan Vayer,Nicolas Courty Colloque GRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France Communication dans un congrès hal-03839524v1
Semi-relaxed Gromov Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz,Rémi Flamary,Marco Corneli,Titouan Vayer,Nicolas Courty ICLR 2022 - 10th International Conference on Learning Representations, Apr 2022, Virtual, France. pp.1-28 Communication dans un congrès hal-03832589v1
Fast Multiscale Diffusion on Graphs Sibylle Marcotte,Amélie Barbe,Rémi Gribonval,Titouan Vayer,Marc Sebbanet al. ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore. ⟨10.1109/ICASSP43922.2022.9746802⟩ Communication dans un congrès hal-03212764v2
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation Amélie Barbe,Paulo Gonçalves,Marc Sebban,Pierre Borgnat,Rémi Gribonvalet al. ICTAI 2021 - 33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Virtual conference, France. pp.1-8, ⟨10.1109/ICTAI52525.2021.00125⟩ Communication dans un congrès hal-03353622v1
Online Graph Dictionary Learning Cédric Vincent-Cuaz,Titouan Vayer,Rémi Flamary,Marco Corneli,Nicolas Courty ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Virtual Conference, United States. ⟨10.48550/arXiv.2102.06555⟩ Communication dans un congrès hal-03140349v2
CO-Optimal Transport Ievgen Redko,Titouan Vayer,Rémi Flamary,Nicolas Courty Neural Information Processing Systems (NeurIPS), Dec 2020, Online, Canada Communication dans un congrès hal-02972087v1
Optimal Transport for structured data with application on graphs Titouan Vayer,Laetitia Chapel,Rémi Flamary,Romain Tavenard,Nicolas Courty ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.1-16 Communication dans un congrès hal-02174322v1
Sliced Gromov-Wasserstein Titouan Vayer,Rémi Flamary,Romain Tavenard,Laetitia Chapel,Nicolas Courty NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02174309v1

Pré-publication, Document de travail (6)

Path-conditioned training: a principled way to rescale ReLU neural networks Arthur Lebeurrier,Titouan Vayer,Remi Gribonval 2026 Pré-publication, Document de travail hal-05519191v2
On sparsity, extremal structure, and monotonicity properties of Wasserstein and Gromov-Wasserstein optimal transport plans Titouan Vayer 2026 Pré-publication, Document de travail hal-05515773v2
A note on the relations between mixture models, maximum-likelihood and entropic optimal transport Titouan Vayer,Etienne Lasalle 2025 Pré-publication, Document de travail hal-04901607v2
Compressive Recovery of Sparse Precision Matrices Titouan Vayer,Etienne Lasalle,Rémi Gribonval,Paulo Gonçalves 2023 Pré-publication, Document de travail hal-04275341v3
Semi-relaxed Gromov Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz,Rémi Flamary,Marco Corneli,Titouan Vayer,Nicolas Courty 2021 Pré-publication, Document de travail hal-03376923v1
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties Titouan Vayer,Laetitia Chapel,Rémi Flamary,Romain Tavenard,Nicolas Courty 2019 Pré-publication, Document de travail hal-02174316v1

Thèse (1)

Une contribution au transport optimal sur des espaces incomparables Titouan Vayer Optimization and Control [math.OC]. Université de Bretagne Sud, 2020. English. ⟨NNT : 2020LORIS576⟩ Thèse tel-03102632v2

Logiciel (2)

PASCO Etienne Lasalle,Rémi Vaudaine,Titouan Vayer 2025, ⟨swh:1:dir:18c931d98f790cdbd1dcfba6e2e03ff4427a8c24;origin=https://hal.archives-ouvertes.fr/hal-05086352;visit=swh:1:snp:369c0877aee64505a50b80345742b519c9ddbd7b;anchor=swh:1:rel:45b059a3bd793f910f722c5822c3bf5f69462f89;path=/⟩ Logiciel hal-05086352v1
Code for reproducible research - Fast Multiscale Diffusion on Graphs Sibylle Marcotte,Amélie Barbe,Rémi Gribonval,Titouan Vayer,Marc Sebbanet al. 2022 Logiciel hal-03576498v1