| Optimal transport for domain adaptation N Courty, R Flamary, D Tuia, A Rakotomamonjy IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 | 523* | 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 | 148 | 2017 |
| POT Python Optimal Transport library R Flamary, N Courty https://github.com/PythonOT/POT, 2017 | 108* | 2017 |
| Domain adaptation with regularized optimal transport N Courty, R Flamary, D Tuia Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014 | 106 | 2014 |
| 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 | 95 | 2018 |
| 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 | 95 | 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 | 85 | 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 | 81 | 2018 |
| 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 | 81 | 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 | 80 | 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 | 61* | 2019 |
| Decoding finger movements from ECoG signals using switching linear models R Flamary, A Rakotomamonjy Frontiers in Neuroscience 6 (29), 2012 | 61 | 2012 |
| Mapping estimation for discrete optimal transport M Perrot, N Courty, R Flamary, A Habrard Proceedings of the 30th International Conference on Neural Information …, 2016 | 55 | 2016 |
| Wasserstein discriminant analysis R Flamary, M Cuturi, N Courty, A Rakotomamonjy Machine Learning, 2018 | 51 | 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 | 50 | 2011 |
| 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 | 46 | 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 | 39 | 2014 |
| Kernel LMS algorithm with Forward-Backward splitting for dictionnary learning W Gao, J Chen, C Richard, J Huang, R Flamary Acoustics Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013 | 33 | 2013 |
| DC Proximal Newton for Nonconvex Optimization Problems A Rakotomamonjy, R Flamary, G Gasso Neural Networks and Learning Systems, IEEE Transactions on, 2015 | 30 | 2015 |
| Learning Wasserstein Embeddings N Courty, R Flamary, M Ducoffe International Conference on Learning Representations (ICLR), 2018 | 29 | 2018 |
Nicolas CourtyFull Professor, Université de Bretagne Sud, laboratoire IRISA確認したメール アドレス: univ-ubs.fr
