| Computational optimal transport: With applications to data science G Peyré, M Cuturi Foundations and Trends® in Machine Learning 11 (5-6), 355-607, 2019 | 3800 | 2019 |
| Iterative Bregman projections for regularized transportation problems JD Benamou, G Carlier, M Cuturi, L Nenna, G Peyré SIAM Journal on Scientific Computing 37 (2), A1111-A1138, 2015 | 897 | 2015 |
| Wasserstein barycenter and its application to texture mixing J Rabin, G Peyré, J Delon, M Bernot Scale Space and Variational Methods in Computer Vision: Third International …, 2012 | 786 | 2012 |
| Convolutional wasserstein distances: Efficient optimal transportation on geometric domains J Solomon, F De Goes, G Peyré, M Cuturi, A Butscher, A Nguyen, T Du, ... ACM Transactions on Graphics (ToG) 34 (4), 1-11, 2015 | 749 | 2015 |
| Learning generative models with sinkhorn divergences A Genevay, G Peyré, M Cuturi International Conference on Artificial Intelligence and Statistics, 1608-1617, 2018 | 722 | 2018 |
| Interpolating between optimal transport and mmd using sinkhorn divergences J Feydy, T Séjourné, FX Vialard, S Amari, A Trouvé, G Peyré The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 593 | 2019 |
| Sliced and radon wasserstein barycenters of measures N Bonneel, J Rabin, G Peyré, H Pfister Journal of Mathematical Imaging and Vision 51, 22-45, 2015 | 593 | 2015 |
| Stochastic optimization for large-scale optimal transport A Genevay, M Cuturi, G Peyré, F Bach Advances in neural information processing systems 29, 2016 | 539 | 2016 |
| Non-local regularization of inverse problems G Peyré, S Bougleux, L Cohen Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 471 | 2008 |
| A generalized forward-backward splitting H Raguet, J Fadili, G Peyré SIAM Journal on Imaging Sciences 6 (3), 1199-1226, 2013 | 449 | 2013 |
| Gromov-wasserstein averaging of kernel and distance matrices G Peyré, M Cuturi, J Solomon International conference on machine learning, 2664-2672, 2016 | 424 | 2016 |
| Scaling algorithms for unbalanced optimal transport problems L Chizat, G Peyré, B Schmitzer, FX Vialard Mathematics of Computation 87 (314), 2563-2609, 2018 | 377 | 2018 |
| Exact support recovery for sparse spikes deconvolution V Duval, G Peyré Foundations of Computational Mathematics 15 (5), 1315-1355, 2015 | 337 | 2015 |
| Unbalanced optimal transport: Dynamic and Kantorovich formulations L Chizat, G Peyré, B Schmitzer, FX Vialard Journal of Functional Analysis 274 (11), 3090-3123, 2018 | 332* | 2018 |
| Universal invariant and equivariant graph neural networks N Keriven, G Peyré Advances in Neural Information Processing Systems 32, 2019 | 319 | 2019 |
| Sample complexity of Sinkhorn divergences A Genevay, L Chizat, F Bach, M Cuturi, G Peyré The 22nd international conference on artificial intelligence and statistics …, 2019 | 316 | 2019 |
| Surface compression with geometric bandelets G Peyré, S Mallat ACM Transactions on Graphics (TOG) 24 (3), 601-608, 2005 | 289 | 2005 |
| Geodesic remeshing using front propagation G Peyré, LD Cohen International Journal of Computer Vision 69, 145-156, 2006 | 286 | 2006 |
| Manifold models for signals and images G Peyré Computer vision and image understanding 113 (2), 249-260, 2009 | 279 | 2009 |
| Regularized discrete optimal transport S Ferradans, N Papadakis, G Peyré, JF Aujol SIAM Journal on Imaging Sciences 7 (3), 1853-1882, 2014 | 265 | 2014 |
Jalal FadiliCNRS-ENSICAEN-Université Caen在 greyc.ensicaen.fr 的电子邮件经过验证
