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Mireille El Gheche
Mireille El Gheche
Senior Research Scientist at Sony AI, Zurich
在 sony.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
FGOT: Graph distances based on filters and optimal transport
HP Maretic, M El Gheche, G Chierchia, P Frossard
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7710-7718, 2022
152022
Distributed graph learning with smooth data priors
ICM Nobre, M El Gheche, P Frossard
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
12022
Wasserstein-based graph alignment
HP Maretic, M El Gheche, M Minder, G Chierchia, P Frossard
IEEE Transactions on Signal and Information Processing over Networks 8, 353-363, 2022
232022
FGOT: Graph Distances based on Filters and Optimal Transport
H Petric Maretic, M El Gheche, G Chierchia, P Frossard
arXiv e-prints, arXiv: 2109.04442, 2021
2021
Yapa: Accelerated Proximal Algorithm for Convex Composite Problems
G Chierchia, M El Gheche
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
2021
Figlearn: Filter and graph learning using optimal transport
M Minder, Z Farsijani, D Shah, M El Gheche, P Frossard
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
22021
Multilayer Graph Clustering with Optimized Node Embedding
M El Gheche, P Frossard
2021 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2021
12021
Multilayer clustered graph learning
ME Gheche, P Frossard
arXiv preprint arXiv:2010.15456, 2020
42020
Forward-backward splitting for optimal transport based problems
G Ortiz-Jiménez, M El Gheche, E Simou, HP Maretić, P Frossard
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
62020
OrthoNet: multilayer network data clustering
M El Gheche, G Chierchia, P Frossard
IEEE Transactions on Signal and Information Processing over Networks 6, 152-162, 2020
262020
Joint graph-based depth refinement and normal estimation
M Rossi, ME Gheche, A Kuhn, P Frossard
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
232020
Cdot: Continuous domain adaptation using optimal transport
G Ortiz-Jimenez, ME Gheche, E Simou, HP Maretic, P Frossard
arXiv preprint arXiv:1909.11448, 2019
182019
Multilayer Network Data Clustering
M El Gheche, G Chierchia, P Frossard
2019
Stochastic gradient descent for spectral embedding with implicit orthogonality constraint
M El Gheche, G Chierchia, P Frossard
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
72019
Graph heat mixture model learning
H Petric Maretic, M El Gheche, P Frossard
arXiv e-prints, arXiv: 1901.08585, 2019
2019
GOT: an optimal transport framework for graph comparison
H Petric Maretic, M El Gheche, G Chierchia, P Frossard
Advances in Neural Information Processing Systems 32, 2019
1172019
Une approche basée incertitude pour transporter un signal d’un graphe à un autre
B Pasdeloup, HP MARETIC, M El Gheche, P Frossard
[Proceedings of GRETSI 2019], 2019
2019
Robust and adaptive approaches for relative geologic time estimation
MM Arouna, M El Gheche, M Donias, S Guillon, Y Berthoumieu
Journal of Applied Geophysics 159, 157-172, 2018
22018
Graph heat mixture model learning
HP Maretic, M El Gheche, P Frossard
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1003-1007, 2018
62018
A nonsmooth graph-based approach to light field super-resolution
M Rossi, M El Gheche, P Frossard
2018 25th IEEE International Conference on Image Processing (ICIP), 2590-2594, 2018
72018
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