| 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 | 863 | 2021 |
| Optimal Transport for structured data with application on graphs T Vayer, L Chapel, R Flamary, R Tavenard, N Courty International Conference on Machine Learning 97, 2019 | 304* | 2019 |
| Partial Optimal Transport with applications on Positive-Unlabeled Learning L Chapel, M Akaya, G Gasso Advances in Neural Information Processing Systems 33, 2020 | 128 | 2020 |
| Fused gromov-wasserstein distance for structured objects T Vayer, L Chapel, R Flamary, R Tavenard, N Courty Algorithms 13 (9), 212, 2020 | 125 | 2020 |
| Sliced Gromov-Wasserstein T Vayer, R Flamary, R Tavenard, L Chapel, N Courty Advances in Neural Information Processing Systems, 14726-14736, 2019 | 115* | 2019 |
| Approximating viability kernels with support vector machines G Deffuant, L Chapel, S Martin IEEE transactions on automatic control 52 (5), 933-937, 2007 | 93 | 2007 |
| Defining yield policies in a viability approach L Chapel, G Deffuant, S Martin, C Mullon Ecological Modelling 212 (1-2), 10-15, 2008 | 45 | 2008 |
| Unbalanced Optimal Transport through Non-negative Penalized Linear Regression L Chapel, R Flamary, H Wu, C Févotte, G Gasso Advances in Neural Information Processing Systems, 2021 | 39 | 2021 |
| Dense Bag-of-Temporal-SIFT-Words for Time Series Classification A Bailly, S Malinowski, R Tavenard, L Chapel, T Guyet International Workshop on Advanced Analytics and Learning on Temporal Data …, 2015 | 39 | 2015 |
| Streamflow scaling properties: investigating characteristic scales from different statistical approaches E Sauquet, MH Ramos, L Chapel, P Bernardara Hydrological Processes: An International Journal 22 (17), 3462-3475, 2008 | 37 | 2008 |
| Viability and resilience of languages in competition L Chapel, X Castelló, C Bernard, G Deffuant, VM Eguíluz, S Martin, ... Plos one 5 (1), e8681, 2010 | 33 | 2010 |
| Bag-of-Temporal-SIFT-Words for Time Series Classification A Bailly, S Malinowski, R Tavenard, T Guyet, L Chapel ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, 2015 | 24 | 2015 |
| Maintenir la viabilité ou la résilience d'un système: les machines à vecteurs de support pour rompre la malédiction de la dimensionnalité? L Chapel Université Blaise Pascal-Clermont-Ferrand II, 2007 | 24 | 2007 |
| Hyperspectral image classification from multiscale description with constrained connectivity and metric learning S Lefevre, L Chapel, F Merciol IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014 | 22 | 2014 |
| PerTurbo manifold learning algorithm for weakly labeled hyperspectral image classification L Chapel, T Burger, N Courty, S Lefèvre IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 16 | 2014 |
| Nonlinear Time-Series Adaptation for Land Cover Classification A Bailly, L Chapel, R Tavenard, G Camps-Valls IEEE Geoscience and Remote Sensing Letters 14 (6), 896-900, 2017 | 14 | 2017 |
| SVM viability controller active learning L Chapel, G Deffuant Kernel machines for reinforcement learning workshop, Pittsburgh, PA, 2006 | 14 | 2006 |
| Time series alignment with global invariances T Vayer, R Tavenard, L Chapel, N Courty, R Flamary, Y Soullard Transactions on Machine Learning Research, 2022 | 13 | 2022 |
| Anomaly detection with score functions based on the reconstruction error of the kernel PCA L Chapel, C Friguet Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014 | 13 | 2014 |
| Efficient Temporal Kernels between Feature Sets for Time Series Classification R Tavenard, S Malinowski, L Chapel, A Bailly, H Sanchez, B Bustos Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 12 | 2017 |
Romain TavenardUniv. Rennes 2Verified email at univ-rennes2.fr
