Aude Genevay
Aude Genevay
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Learning generative models with Sinkhorn divergences
A Genevay, G Peyré, M Cuturi
International Conference on Artificial Intelligence and Statistics. 2018., 2018
3482018
Stochastic optimization for large-scale optimal transport
G Aude, M Cuturi, G Peyré, F Bach
arXiv preprint arXiv:1605.08527, 2016
3242016
Sample complexity of Sinkhorn divergences
A Genevay, L Chizat, F Bach, M Cuturi, G Peyré
International Conference on Artificial Intelligence and Statistics. 2018., 2019
1312019
GAN and VAE from an optimal transport point of view
A Genevay, G Peyré, M Cuturi
arXiv preprint arXiv:1706.01807, 2017
372017
Transfer Learning for User Adaptation in Spoken Dialogue Systems.
A Genevay, R Laroche
AAMAS, 975-983, 2016
332016
Sinkhorn-autodiff: Tractable wasserstein learning of generative models
A Genevay, G Peyré, M Cuturi
arXiv preprint arXiv:1706.00292, 2017
312017
Entropy-Regularized Optimal Transport for Machine Learning
A Genevay
PhD thesis, PSL University., 2019
202019
Wasserstein measure coresets
S Claici, A Genevay, J Solomon
arXiv preprint arXiv:1805.07412, 2018
13*2018
Continuous regularized Wasserstein barycenters
L Li, A Genevay, M Yurochkin, J Solomon
arXiv preprint arXiv:2008.12534, 2020
102020
Differentiable deep clustering with cluster size constraints
A Genevay, G Dulac-Arnold, JP Vert
arXiv preprint arXiv:1910.09036, 2019
102019
Improving Approximate Optimal Transport Distances using Quantization
G Beugnot, A Genevay, K Greenewald, J Solomon
arXiv preprint arXiv:2102.12731, 2021
22021
Large-Scale Wasserstein Gradient Flows
P Mokrov, A Korotin, L Li, A Genevay, J Solomon, E Burnaev
arXiv preprint arXiv:2106.00736, 2021
12021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
A Korotin, L Li, A Genevay, J Solomon, A Filippov, E Burnaev
arXiv preprint arXiv:2106.01954, 2021
2021
Transport Optimal pour l'Apprentissage Automatique
A Genevay
Université Paris sciences et lettres, 2019
2019
Entropy-Regularized Optimal Transport for Machine Learning.(Régularisation Entropique du Transport Optimal pour le Machine Learning).
A Genevay
2019
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Articles 1–15