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Elsa Cazelles
Elsa Cazelles
CNRS, IRIT, Université de Toulouse
Verified email at irit.fr - Homepage
Title
Cited by
Cited by
Year
Geodesic PCA versus log-PCA of histograms in the Wasserstein space
E Cazelles, V Seguy, J Bigot, M Cuturi, N Papadakis
SIAM Journal on Scientific Computing 40 (2), B429-B456, 2018
492018
Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications
J Bigot, E Cazelles, N Papadakis
402019
Penalization of barycenters in the Wasserstein space
J Bigot, E Cazelles, N Papadakis
SIAM Journal on Mathematical Analysis 51 (3), 2261-2285, 2019
392019
Data-driven regularization of Wasserstein barycenters with an application to multivariate density registration
J Bigot, E Cazelles, N Papadakis
Information and Inference: A Journal of the IMA 8 (4), 719-755, 2019
352019
The Wasserstein-Fourier distance for stationary time series
E Cazelles, A Robert, F Tobar
IEEE Transactions on Signal Processing 69, 709-721, 2020
292020
Central limit theorems for sinkhorn divergence between probability distributions on finite spaces and statistical applications
J Bigot, E Cazelles, N Papadakis
arXiv preprint arXiv:1711.08947, 2017
182017
Log-PCA versus Geodesic PCA of histograms in the Wasserstein space
E Cazelles, V Seguy, J Bigot, M Cuturi, N Papadakis
arXiv preprint arXiv:1708.08143, 2017
152017
A novel notion of barycenter for probability distributions based on optimal weak mass transport
E Cazelles, F Tobar, J Fontbona
Advances in Neural Information Processing Systems 34, 13575-13586, 2021
122021
Regularized barycenters in the wasserstein space
E Cazelles, J Bigot, N Papadakis
International Conference on Geometric Science of Information, 83-90, 2017
62017
Statistical properties of barycenters in the Wasserstein space and fast algorithms for optimal transport of measures
E Cazelles
Bordeaux, 2018
12018
Machine learning and optimal transport: some statistical and algorithmic tools
E Cazelles
ESAIM: Proceedings and Surveys 74, 158-168, 2023
2023
Computationally-efficient initialisation of GPs: The generalised variogram method
F Tobar, E Cazelles, T de Wolff
arXiv preprint arXiv:2210.05394, 2022
2022
Propriétés statistiques du barycentre dans l’espace de Wasserstein
E Cazelles
Université de Bordeaux, 2018
2018
Regularized Wasserstein barycenter
E Cazelles, J Bigot, N Papadakis
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Articles 1–14