Rémi Flamary
Cited by
Cited by
Optimal transport for domain adaptation
N Courty, R Flamary, D Tuia, A Rakotomamonjy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
Joint distribution optimal transportation for domain adaptation
N Courty, R Flamary, A Habrard, A Rakotomamonjy
Advances in Neural Information Processing Systems, 3730-3739, 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
POT Python Optimal Transport library
R Flamary, N Courty
https://github.com/PythonOT/POT, 2017
Domain adaptation with regularized optimal transport
N Courty, R Flamary, D Tuia
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
Large-Scale Optimal Transport and Mapping Estimation
V Seguy, BB Damodaran, R Flamary, N Courty, A Rolet, M Blondel
International Conference on Learning Representations (ICLR), 2018
Mixed-norm regularization for brain decoding
R Flamary, N Jrad, R Phlypo, M Congedo, A Rakotomamonjy
Computational and mathematical methods in medicine 2014, 2014
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
Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM
L Laporte, R Flamary, S Canu, S Déjean, J Mothe
IEEE transactions on Neural Networks and Learning Systems 25 (6), 1118 - 1130, 2014
Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM
D Tuia, M Volpi, M Dalla Mura, A Rakotomamonjy, R Flamary
IEEE Transactions on Geoscience and Remote Sensing, 1-13, 2014
lp-lq penalty for sparse linear and sparse multiple kernel multi-task learning
A Rakotomamonjy, R Flamary, G Gasso, S Canu
IEEE Transactions on Neural Networks 22 (8), 1307-1320, 2011
Optimal Transport for structured data with application on graphs
T Vayer, N Courty, R Tavenard, R Flamary
International Conference on Machine Learning, 6275-6284, 2019
Mapping estimation for discrete optimal transport
M Perrot, N Courty, R Flamary, A Habrard
Advances in Neural Information Processing Systems 29, 4197-4205, 2016
Optimal transport for multi-source domain adaptation under target shift
I Redko, N Courty, R Flamary, D Tuia
International Conference on Artificial Intelligence and Statistics (AISTAT), 2019
Decoding finger movements from ECoG signals using switching linear models
R Flamary, A Rakotomamonjy
Frontiers in Neuroscience 6 (29), 2012
Wasserstein discriminant analysis
R Flamary, M Cuturi, N Courty, A Rakotomamonjy
Machine Learning, 2018
sw-SVM: sensor weighting support vector machines for EEG-based brain–computer interfaces
N Jrad, M Congedo, R Phlypo, S Rousseau, R Flamary, F Yger, ...
Journal of neural engineering 8 (5), 056004, 2011
The strong gravitational lens finding challenge
RB Metcalf, M Meneghetti, C Avestruz, F Bellagamba, CR Bom, E Bertin, ...
Astronomy & Astrophysics 625, A119, 2019
Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging
E Niaf, R Flamary, O Rouviere, C Lartizien, S Canu
IEEE Transactions on Image Processing 3 (23), 979-991, 2014
Sliced Gromov-Wasserstein
T Vayer, R Flamary, R Tavenard, L Chapel, N Courty
Neural Information Processing Systems (NeurIPS), 2019
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