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ORCIDMireille El Gheche
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2020 – today
- 2022
[j7]Hermina Petric Maretic
, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard:
Wasserstein-Based Graph Alignment. IEEE Trans. Signal Inf. Process. over Networks 8: 353-363 (2022)- [c15]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
fGOT: Graph Distances Based on Filters and Optimal Transport. AAAI 2022: 7710-7718 - [c14]Isabela Cunha Maia Nobre, Mireille El Gheche, Pascal Frossard:
Distributed Graph Learning With Smooth Data Priors. ICASSP 2022: 5852-5856 - 2021
- [c13]Matthias Minder, Zahra Farsijani, Dhruti Shah, Mireille El Gheche, Pascal Frossard:
Figlearn: Filter and Graph Learning Using Optimal Transport. ICASSP 2021: 5415-5419 - [c12]Giovanni Chierchia, Mireille El Gheche:
Yapa: Accelerated Proximal Algorithm for Convex Composite Problems. ICASSP 2021: 5534-5538 - [i13]Mireille El Gheche, Pascal Frossard:
Multilayer Graph Clustering with Optimized Node Embedding. CoRR abs/2103.16534 (2021) - [i12]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
FGOT: Graph Distances based on Filters and Optimal Transport. CoRR abs/2109.04442 (2021) - [i11]Isabela Cunha Maia Nobre, Mireille El Gheche, Pascal Frossard:
Distributed Graph Learning with Smooth Data Priors. CoRR abs/2112.05887 (2021) - 2020
- [j6]Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
OrthoNet: Multilayer Network Data Clustering. IEEE Trans. Signal Inf. Process. over Networks 6: 152-162 (2020) - [c11]Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard:
Joint Graph-Based Depth Refinement and Normal Estimation. CVPR 2020: 12151-12160 - [c10]Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard:
Forward-Backward Splitting for Optimal Transport Based Problems. ICASSP 2020: 5405-5409 - [i10]Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard:
Wasserstein-based Graph Alignment. CoRR abs/2003.06048 (2020) - [i9]Mireille El Gheche, Pascal Frossard:
Multilayer Clustered Graph Learning. CoRR abs/2010.15456 (2020) - [i8]Matthias Minder, Zahra Farsijani, Dhruti Shah, Mireille El Gheche, Pascal Frossard:
FiGLearn: Filter and Graph Learning using Optimal Transport. CoRR abs/2010.15457 (2020)
2010 – 2019
- 2019
- [c9]Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. ICASSP 2019: 3567-3571 - [c8]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
GOT: An Optimal Transport framework for Graph comparison. NeurIPS 2019: 13876-13887 - [i7]Hermina Petric Maretic, Mireille El Gheche, Pascal Frossard:
Graph heat mixture model learning. CoRR abs/1901.08585 (2019) - [i6]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
GOT: An Optimal Transport framework for Graph comparison. CoRR abs/1906.02085 (2019) - [i5]Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard:
CDOT: Continuous Domain Adaptation using Optimal Transport. CoRR abs/1909.11448 (2019) - [i4]Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard:
Joint Graph-based Depth Refinement and Normal Estimation. CoRR abs/1912.01306 (2019) - 2018
- [j5]Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet:
Proximity Operators of Discrete Information Divergences. IEEE Trans. Inf. Theory 64(2): 1092-1104 (2018) - [c7]Hermina Petric Maretic, Mireille El Gheche, Pascal Frossard:
Graph Heat Mixture Model Learning. ACSSC 2018: 1003-1007 - [c6]Mattia Rossi, Mireille El Gheche, Pascal Frossard:
A Nonsmooth Graph-Based Approach to Light Field Super-Resolution. ICIP 2018: 2590-2594 - [i3]Mireille El Gheche, Pascal Frossard:
Multilayer Graph Signal Clustering. CoRR abs/1811.00821 (2018) - [i2]Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. CoRR abs/1812.05721 (2018) - 2017
- [j4]Giovanni Chierchia, Mireille El Gheche, Giuseppe Scarpa, Luisa Verdoliva:
Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering. IEEE Trans. Geosci. Remote. Sens. 55(10): 5467-5480 (2017) - [j3]Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle:
Texture Reconstruction Guided by a High-Resolution Patch. IEEE Trans. Image Process. 26(2): 549-560 (2017) - 2016
- [j2]Moncef Hidane, Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle:
Image Zoom Completion. IEEE Trans. Image Process. 25(8): 3505-3517 (2016) - [c5]Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, Ronan Fablet:
Texture synthesis guided by a low-resolution image. IVMSP 2016: 1-5 - [i1]Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet:
Proximity Operators of Discrete Information Divergences. CoRR abs/1606.09552 (2016) - 2013
- [j1]Caroline Chaux, Mireille El Gheche, Joumana Farah, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation. J. Math. Imaging Vis. 47(3): 167-178 (2013) - [c4]Mireille El Gheche, Anna Jezierska, Jean-Christophe Pesquet, Joumana Farah:
A proximal approach for signal recovery based on information measures. EUSIPCO 2013: 1-5 - [c3]Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah:
A proximal approach for optimization problems involving kullback divergences. ICASSP 2013: 5984-5988 - 2011
- [c2]Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah, Mounir Kaaniche, Béatrice Pesquet-Popescu:
Proximal splitting methods for depth estimation. ICASSP 2011: 853-856 - [c1]Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah, Caroline Chaux, Béatrice Pesquet-Popescu:
Disparity map estimation under convex constraints using proximal algorithms. SiPS 2011: 293-298
Coauthor Index
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