| Learning generative models with Sinkhorn divergences A Genevay, G Peyré, M Cuturi International Conference on Artificial Intelligence and Statistics. 2018., 2018 | 242 | 2018 |
| Stochastic optimization for large-scale optimal transport G Aude, M Cuturi, G Peyré, F Bach arXiv preprint arXiv:1605.08527, 2016 | 237 | 2016 |
| Sample complexity of Sinkhorn divergences A Genevay, L Chizat, F Bach, M Cuturi, G Peyré International Conference on Artificial Intelligence and Statistics. 2018., 2019 | 92 | 2019 |
| GAN and VAE from an optimal transport point of view A Genevay, G Peyré, M Cuturi arXiv preprint arXiv:1706.01807, 2017 | 29 | 2017 |
| Sinkhorn-autodiff: Tractable wasserstein learning of generative models A Genevay, G Peyré, M Cuturi arXiv preprint arXiv:1706.00292, 2017 | 28 | 2017 |
| Transfer Learning for User Adaptation in Spoken Dialogue Systems. A Genevay, R Laroche AAMAS, 975-983, 2016 | 26 | 2016 |
| Entropy-Regularized Optimal Transport for Machine Learning A Genevay PhD thesis, PSL University., 2019 | 14 | 2019 |
| Wasserstein Measure Coresets S Claici, A Genevay, J Solomon arXiv preprint arXiv:1805.07412, 2018 | 9* | 2018 |
| Differentiable deep clustering with cluster size constraints A Genevay, G Dulac-Arnold, JP Vert arXiv preprint arXiv:1910.09036, 2019 | 8 | 2019 |
| Continuous regularized wasserstein barycenters L Li, A Genevay, M Yurochkin, J Solomon arXiv preprint arXiv:2008.12534, 2020 | 5 | 2020 |
| Improving Approximate Optimal Transport Distances using Quantization G Beugnot, A Genevay, K Greenewald, J Solomon arXiv preprint arXiv:2102.12731, 2021 | | 2021 |
| Transport Optimal pour l'Apprentissage Automatique A Genevay PSL Research University, 2019 | | 2019 |
| Entropy-Regularized Optimal Transport for Machine Learning.(Régularisation Entropique du Transport Optimal pour le Machine Learning). A Genevay | | 2019 |
