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Nicolas Courty
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Publications
- 2024
- [i50]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) - 2023
- [c64]Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh:
Unbalanced CO-optimal Transport. AAAI 2023: 10006-10016 - [c60]Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. NeurIPS 2023 - [i45]Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. CoRR abs/2305.13797 (2023) - [i40]Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
Optimal Transport with Adaptive Regularisation. CoRR abs/2310.02925 (2023) - [i39]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) - 2022
- [j30]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty:
Optimal transport for conditional domain matching and label shift. Mach. Learn. 111(5): 1651-1670 (2022) - [j29]Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7296-7306 (2022) - [j27]Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty:
Generating Natural Adversarial Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j25]Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard:
Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. 2022 (2022) - [c56]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. ICLR 2022 - [c55]Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion:
Aligning individual brains with fused unbalanced Gromov Wasserstein. NeurIPS 2022 - [c54]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Template based Graph Neural Network with Optimal Transport Distances. NeurIPS 2022 - [i37]Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh:
Unbalanced CO-Optimal Transport. CoRR abs/2205.14923 (2022) - [i36]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) - 2021
- [j23]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) - [c53]Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty:
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. ICML 2021: 3186-3197 - [c52]Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. ICML 2021: 10564-10574 - [i32]Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Minibatch optimal transport distances; analysis and applications. CoRR abs/2101.01792 (2021) - [i31]Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. CoRR abs/2102.06555 (2021) - [i29]Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary:
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. CoRR abs/2103.03606 (2021) - [i28]Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty:
Factored couplings in multi-marginal optimal transport via difference of convex programming. CoRR abs/2110.00629 (2021) - [i27]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) - 2020
- [j22]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 13(9): 212 (2020) - [j21]Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty:
An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Comput. Vis. Image Underst. 191: 102863 (2020) - [c51]Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. ACCV (4) 2020: 351-368 - [c50]Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS 2020: 2131-2141 - [c48]Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty:
CO-Optimal Transport. NeurIPS 2020 - [i23]Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty:
CO-Optimal Transport. CoRR abs/2002.03731 (2020) - [i22]Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard:
Time Series Alignment with Global Invariances. CoRR abs/2002.03848 (2020) - [i20]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty:
Match and Reweight Strategy for Generalized Target Shift. CoRR abs/2006.08161 (2020) - [i19]Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou:
Representation Transfer by Optimal Transport. CoRR abs/2007.06737 (2020) - [i18]Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. CoRR abs/2009.08720 (2020) - 2019
- [c47]Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia:
Optimal Transport for Multi-source Domain Adaptation under Target Shift. AISTATS 2019: 849-858 - [c46]Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary:
Optimal Transport for structured data with application on graphs. ICML 2019: 6275-6284 - [c45]Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel:
Sliced Gromov-Wasserstein. NeurIPS 2019: 14726-14736 - [i16]Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR abs/1904.03936 (2019) - [i15]Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty:
Sliced Gromov-Wasserstein. CoRR abs/1905.10124 (2019) - [i14]Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR abs/1910.04091 (2019) - 2018
- [j17]Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy:
Wasserstein discriminant analysis. Mach. Learn. 107(12): 1923-1945 (2018) - [c44]Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty:
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) 2018: 467-483 - [c43]Nicolas Courty, Rémi Flamary, Mélanie Ducoffe:
Learning Wasserstein Embeddings. ICLR (Poster) 2018 - [c42]Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel:
Large Scale Optimal Transport and Mapping Estimation. ICLR (Poster) 2018 - [i13]Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty:
Wasserstein Distance Measure Machines. CoRR abs/1803.00250 (2018) - [i12]Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty:
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR abs/1803.10081 (2018) - [i11]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Optimal Transport for structured data. CoRR abs/1805.09114 (2018) - [i10]Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty:
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. CoRR abs/1810.01163 (2018) - [i9]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) - 2017
- [j16]Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy:
Optimal Transport for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1853-1865 (2017) - [c38]Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy:
Joint distribution optimal transportation for domain adaptation. NIPS 2017: 3730-3739 - [i8]Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy:
Joint Distribution Optimal Transportation for Domain Adaptation. CoRR abs/1705.08848 (2017) - [i7]Nicolas Courty, Rémi Flamary, Mélanie Ducoffe:
Learning Wasserstein Embeddings. CoRR abs/1710.07457 (2017) - 2016
- [c36]Nicolas Courty, Rémi Flamary, Devis Tuia, Thomas Corpetti:
Optimal transport for data fusion in remote sensing. IGARSS 2016: 3571-3574 - [c34]Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya:
Optimal spectral transportation with application to music transcription. NIPS 2016: 703-711 - [c33]Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard:
Mapping Estimation for Discrete Optimal Transport. NIPS 2016: 4197-4205 - [c32]Sina Nakhostin, Nicolas Courty, Rémi Flamary, Thomas Corpetti:
Supervised planetary unmixing with optimal transport. WHISPERS 2016: 1-5 - [i5]Devis Tuia, Rémi Flamary, Nicolas Courty:
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. CoRR abs/1606.07279 (2016) - [i4]Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy:
Wasserstein Discriminant Analysis. CoRR abs/1608.08063 (2016) - [i3]Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya:
Optimal spectral transportation with application to music transcription. CoRR abs/1609.09799 (2016) - 2015
- [c31]Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty:
Multitemporal classification without new labels: A solution with optimal transport. MultiTemp 2015: 1-4 - [i2]Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy:
Optimal Transport for Domain Adaptation. CoRR abs/1507.00504 (2015) - [i1]Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty:
Generalized conditional gradient: analysis of convergence and applications. CoRR abs/1510.06567 (2015) - 2014
- [c28]Nicolas Courty, Rémi Flamary, Devis Tuia:
Domain Adaptation with Regularized Optimal Transport. ECML/PKDD (1) 2014: 274-289
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last updated on 2024-05-08 23:39 CEST by the dblp team
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