Follow
Nicolas Courty
Nicolas Courty
Full Professor, Université Bretagne Sud, laboratoire IRISA
Verified email at univ-ubs.fr - Homepage
Title
Cited by
Cited by
Year
Optimal transport for domain adaptation
N Courty, R Flamary, D Tuia, A Rakotomamonjy
IEEE transactions on pattern analysis and machine intelligence 39 (9), 1853-1865, 2016
11862016
Pot: Python optimal transport
R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ...
Journal of Machine Learning Research 22 (78), 1-8, 2021
10642021
Joint distribution optimal transportation for domain adaptation
N Courty, R Flamary, A Habrard, A Rakotomamonjy
Advances in neural information processing systems 30, 2017
721*2017
Deepjdot: Deep joint distribution optimal transport for unsupervised domain adaptation
BB Damodaran, B Kellenberger, R Flamary, D Tuia, N Courty
Proceedings of the European conference on computer vision (ECCV), 447-463, 2018
5592018
Optimal transport for structured data with application on graphs
V Titouan, N Courty, R Tavenard, R Flamary
International Conference on Machine Learning, 6275-6284, 2019
316*2019
Domain adaptation with regularized optimal transport
N Courty, R Flamary, D Tuia
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
2762014
Large-scale optimal transport and mapping estimation
V Seguy, BB Damodaran, R Flamary, N Courty, A Rolet, M Blondel
arXiv preprint arXiv:1711.02283, 2017
2732017
Optimal transport for multi-source domain adaptation under target shift
I Redko, N Courty, R Flamary, D Tuia
The 22nd International Conference on artificial intelligence and statistics …, 2019
1852019
Unbalanced minibatch optimal transport; applications to domain adaptation
K Fatras, T Séjourné, R Flamary, N Courty
International Conference on Machine Learning, 3186-3197, 2021
1692021
Mapping estimation for discrete optimal transport
M Perrot, N Courty, R Flamary, A Habrard
Advances in Neural Information Processing Systems 29, 2016
1462016
Fused Gromov-Wasserstein distance for structured objects
T Vayer, L Chapel, R Flamary, R Tavenard, N Courty
Algorithms 13 (9), 212, 2020
1422020
Wasserstein discriminant analysis
R Flamary, M Cuturi, N Courty, A Rakotomamonjy
Machine Learning 107, 1923-1945, 2018
1422018
Motion compression using principal geodesics analysis
M Tournier, X Wu, N Courty, E Arnaud, L Reveret
Computer Graphics Forum 28 (2), 355-364, 2009
1122009
Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions
D Tuia, R Flamary, N Courty
ISPRS Journal of Photogrammetry and Remote Sensing 105, 272-285, 2015
1082015
End-to-end learned early classification of time series for in-season crop type mapping
M Rußwurm, N Courty, R Emonet, S Lefèvre, D Tuia, R Tavenard
ISPRS Journal of Photogrammetry and Remote Sensing 196, 445-456, 2023
101*2023
Learning with minibatch Wasserstein: asymptotic and gradient properties
K Fatras, Y Zine, R Flamary, R Gribonval, N Courty
arXiv preprint arXiv:1910.04091, 2019
962019
The SignCom system for data-driven animation of interactive virtual signers: Methodology and Evaluation
S Gibet, N Courty, K Duarte, TL Naour
ACM Transactions on Interactive Intelligent Systems (TiiS) 1 (1), 1-23, 2011
952011
Sliced gromov-wasserstein
T Vayer, R Flamary, R Tavenard, L Chapel, N Courty
arXiv preprint arXiv:1905.10124, 2019
892019
Sparse Hilbert Schmidt independence criterion and surrogate-kernel-based feature selection for hyperspectral image classification
BB Damodaran, N Courty, S Lefèvre
IEEE Transactions on Geoscience and Remote Sensing 55 (4), 2385-2398, 2017
842017
Co-optimal transport
V Titouan, I Redko, R Flamary, N Courty
Advances in neural information processing systems 33, 17559-17570, 2020
83*2020
The system can't perform the operation now. Try again later.
Articles 1–20