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2020 – today
- 2024
[i20]Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer:
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. CoRR abs/2402.02239 (2024)- [i19]Can Pouliquen, Mathurin Massias, Titouan Vayer:
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure. CoRR abs/2406.09023 (2024) - 2023
- [j5]Titouan Vayer, Rémi Gribonval:
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning. J. Mach. Learn. Res. 24: 149:1-149:51 (2023) - [c11]Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy:
Entropic Wasserstein Component Analysis. MLSP 2023: 1-6 - [c10]Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. NeurIPS 2023 - [c9]Alexandre Hippert-Ferrer
, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy:
Learning Graphical Factor Models with Riemannian Optimization. ECML/PKDD (4) 2023: 349-366 - [i18]Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy:
Entropic Wasserstein Component Analysis. CoRR abs/2303.05119 (2023) - [i17]Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. CoRR abs/2305.13797 (2023) - [i16]Can Pouliquen, Paulo Gonçalves, Mathurin Massias, Titouan Vayer:
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso. CoRR abs/2307.02130 (2023) - [i15]Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
Optimal Transport with Adaptive Regularisation. CoRR abs/2310.02925 (2023) - [i14]Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty:
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. CoRR abs/2310.03398 (2023) - [i13]Titouan Vayer, Etienne Lasalle, Rémi Gribonval, Paulo Gonçalves:
Compressive Recovery of Sparse Precision Matrices. CoRR abs/2311.04673 (2023) - 2022
- [j4]Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard:
Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. 2022 (2022) - [c8]Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves:
Fast Multiscale Diffusion On Graphs. ICASSP 2022: 5627-5631 - [c7]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. ICLR 2022 - [c6]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Template based Graph Neural Network with Optimal Transport Distances. NeurIPS 2022 - [i12]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Template based Graph Neural Network with Optimal Transport Distances. CoRR abs/2205.15733 (2022) - [i11]Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy:
Learning Graphical Factor Models with Riemannian Optimization. CoRR abs/2210.11950 (2022) - 2021
- [j3]Clément Bonet, Titouan Vayer, Nicolas Courty, François Septier, Lucas Drumetz:
Subspace Detours Meet Gromov-Wasserstein. Algorithms 14(12): 366 (2021) - [j2]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:
POT: Python Optimal Transport. J. Mach. Learn. Res. 22: 78:1-78:8 (2021) - [c5]Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. ICML 2021: 10564-10574 - [c4]Amélie Barbe, Paulo Gonçalves, Marc Sebban, Pierre Borgnat, Rémi Gribonval, Titouan Vayer:
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. ICTAI 2021: 786-790 - [i10]Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. CoRR abs/2102.06555 (2021) - [i9]Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves:
Fast Multiscale Diffusion on Graphs. CoRR abs/2104.14652 (2021) - [i8]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Semi-relaxed Gromov Wasserstein divergence with applications on graphs. CoRR abs/2110.02753 (2021) - [i7]Titouan Vayer, Rémi Gribonval:
Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning. CoRR abs/2112.00423 (2021) - 2020
- [b1]Titouan Vayer:
A contribution to Optimal Transport on incomparable spaces. (Une contribution au Transport Optimal sur des espaces incomparables). University of Southern Brittany, Vannes, Morbihan, France, 2020 - [j1]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 13(9): 212 (2020) - [c3]Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty:
CO-Optimal Transport. NeurIPS 2020 - [i6]Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty:
CO-Optimal Transport. CoRR abs/2002.03731 (2020) - [i5]Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard:
Time Series Alignment with Global Invariances. CoRR abs/2002.03848 (2020) - [i4]Titouan Vayer:
A contribution to Optimal Transport on incomparable spaces. CoRR abs/2011.04447 (2020)
2010 – 2019
- 2019
- [c2]Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary:
Optimal Transport for structured data with application on graphs. ICML 2019: 6275-6284 - [c1]Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel:
Sliced Gromov-Wasserstein. NeurIPS 2019: 14726-14736 - [i3]Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty:
Sliced Gromov-Wasserstein. CoRR abs/1905.10124 (2019) - 2018
- [i2]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Optimal Transport for structured data. CoRR abs/1805.09114 (2018) - [i1]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR abs/1811.02834 (2018)
Coauthor Index
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last updated on 2024-09-13 00:44 CEST by the dblp team
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