Titouan Vayer

35
Documents

Publications

Publications

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein

Hugues Van Assel , Cédric Vincent-Cuaz , Nicolas Courty , Rémi Flamary , Pascal Frossard et al.

Transactions on Machine Learning Research Journal, 2025

Article dans une revue hal-04726195v1
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PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms

Etienne Lasalle , Rémi Vaudaine , Titouan Vayer , Pierre Borgnat , Rémi Gribonval et al.

Machine Learning, 2025, 114, pp.212. ⟨10.1007/s10994-025-06837-7⟩

Article dans une revue hal-04837207v2
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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
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Time Series Alignment with Global Invariances

Titouan Vayer , Romain Tavenard , Laetitia Chapel , Nicolas Courty , Rémi Flamary et al.

Transactions on Machine Learning Research Journal, 2022

Article dans une revue hal-02473959v1
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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
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POT : Python Optimal Transport

Rémi Flamary , Nicolas Courty , Alexandre Gramfort , Mokhtar Zahdi Alaya , Aurélie Boisbunon et al.

Journal of Machine Learning Research, 2021

Article dans une revue hal-03264013v1
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Fast Multiscale Diffusion on Graphs

Sibylle Marcotte , Amélie Barbe , Rémi Gribonval , Titouan Vayer , Marc Sebban et 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
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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
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Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation

Amélie Barbe , Paulo Gonçalves , Marc Sebban , Pierre Borgnat , Rémi Gribonval et 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

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
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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