עקוב אחר
Aude Genevay
Aude Genevay
Applied Scientist, Amazon
כתובת אימייל מאומתת בדומיין amazon.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Learning generative models with Sinkhorn divergences
A Genevay, G Peyré, M Cuturi
International Conference on Artificial Intelligence and Statistics. 2018., 2018
6312018
Stochastic optimization for large-scale optimal transport
A Genevay, M Cuturi, G Peyré, F Bach
Advances in neural information processing systems 29, 2016
4892016
Sample complexity of Sinkhorn divergences
A Genevay, L Chizat, F Bach, M Cuturi, G Peyré
International Conference on Artificial Intelligence and Statistics. 2018., 2019
2792019
GAN and VAE from an optimal transport point of view
A Genevay, G Peyré, M Cuturi
arXiv preprint arXiv:1706.01807, 2017
662017
Do neural optimal transport solvers work? a continuous wasserstein-2 benchmark
A Korotin, L Li, A Genevay, JM Solomon, A Filippov, E Burnaev
Advances in neural information processing systems 34, 14593-14605, 2021
612021
Large-scale wasserstein gradient flows
P Mokrov, A Korotin, L Li, A Genevay, JM Solomon, E Burnaev
Advances in Neural Information Processing Systems 34, 15243-15256, 2021
592021
Entropy-Regularized Optimal Transport for Machine Learning
A Genevay
PhD thesis, PSL University., 2019
472019
Continuous regularized wasserstein barycenters
L Li, A Genevay, M Yurochkin, JM Solomon
Advances in Neural Information Processing Systems 33, 17755-17765, 2020
442020
Differentiable deep clustering with cluster size constraints
A Genevay, G Dulac-Arnold, JP Vert
arXiv preprint arXiv:1910.09036, 2019
352019
Sinkhorn-autodiff: Tractable wasserstein learning of generative models
A Genevay, G Peyré, M Cuturi
arXiv preprint arXiv:1706.00292 7 (8), 2017
332017
Transfer Learning for User Adaptation in Spoken Dialogue Systems.
A Genevay, R Laroche
AAMAS, 975-983, 2016
332016
Wasserstein measure coresets
S Claici, A Genevay, J Solomon
arXiv preprint arXiv:1805.07412, 2018
22*2018
Improving approximate optimal transport distances using quantization
G Beugnot, A Genevay, K Greenewald, J Solomon
Uncertainty in artificial intelligence, 290-300, 2021
102021
Entropy-Regularized Optimal Transport for Machine Learning.(Régularisation Entropique du Transport Optimal pour le Machine Learning).
A Genevay
PSL Research University, Paris, France, 2019
22019
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–14