Aude Genevay
Aude Genevay
Dirección de correo verificada de mit.edu - Página principal
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Learning generative models with Sinkhorn divergences
A Genevay, G Peyré, M Cuturi
International Conference on Artificial Intelligence and Statistics. 2018., 2018
2422018
Stochastic optimization for large-scale optimal transport
G Aude, M Cuturi, G Peyré, F Bach
arXiv preprint arXiv:1605.08527, 2016
2372016
Sample complexity of Sinkhorn divergences
A Genevay, L Chizat, F Bach, M Cuturi, G Peyré
International Conference on Artificial Intelligence and Statistics. 2018., 2019
922019
GAN and VAE from an optimal transport point of view
A Genevay, G Peyré, M Cuturi
arXiv preprint arXiv:1706.01807, 2017
292017
Sinkhorn-autodiff: Tractable wasserstein learning of generative models
A Genevay, G Peyré, M Cuturi
arXiv preprint arXiv:1706.00292, 2017
282017
Transfer Learning for User Adaptation in Spoken Dialogue Systems.
A Genevay, R Laroche
AAMAS, 975-983, 2016
262016
Entropy-Regularized Optimal Transport for Machine Learning
A Genevay
PhD thesis, PSL University., 2019
142019
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
82019
Continuous regularized wasserstein barycenters
L Li, A Genevay, M Yurochkin, J Solomon
arXiv preprint arXiv:2008.12534, 2020
52020
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
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Artículos 1–13