Kilian Fatras
Kilian Fatras
PostDoctoral Fellow
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Cited by
Cited by
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
Learning with minibatch Wasserstein: asymptotic and gradient properties
K Fatras, Y Zine, R Flamary, R Gribonval, N Courty
the 23nd International Conference on Artificial Intelligence and Statistics 108, 2020
Unbalanced minibatch optimal transport; applications to domain adaptation
K Fatras, T Séjourné, R Flamary, N Courty
International Conference on Machine Learning, 3186-3197, 2021
Minibatch optimal transport distances; analysis and applications
K Fatras, Y Zine, S Majewski, R Flamary, R Gribonval, N Courty
arXiv preprint arXiv:2101.01792, 2021
Wasserstein Adversarial Regularization for learning with label noise
K Fatras, BB Damodaran, S Lobry, R Flamary, D Tuia, N Courty
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Proximal Splitting Meets Variance Reduction
F Pedregosa, K Fatras, M Casotto
The 22nd International Conference on Artificial Intelligence and Statistics …, 2018
Generating natural adversarial Remote Sensing Images
JC Burnel, K Fatras, R Flamary, N Courty
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021
On making optimal transport robust to all outliers
K Fatras
arXiv preprint arXiv:2206.11988, 2022
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation
K Fatras, H Naganuma, I Mitliagkas
arXiv preprint arXiv:2206.11180, 2022
Deep learning and optimal transport: learning from one another
K Fatras
Université de Bretagne Sud, 2021
Generating natural adversarial hyperspectral examples with a modified wasserstein GAN
JC Burnel, K Fatras, N Courty
arXiv preprint arXiv:2001.09993, 2020
Awesome Open Source Awesome Open Source
SO Twitter
International Journal of Corpus Linguistics 8 (2), 209-243, 2020
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