Jean-Charles Vialatte
Jean-Charles Vialatte
IMT Atlantique, Senx
Verified email at imt-atlantique.fr
Title
Cited by
Cited by
Year
Generalizing the convolution operator to extend cnns to irregular domains
JC Vialatte, V Gripon, G Mercier
arXiv preprint arXiv:1606.01166, 2016
252016
Neighborhood-preserving translations on graphs
N Grelier, B Pasdeloup, JC Vialatte, V Gripon
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
152016
A Study of Deep Learning Robustness Against Computation Failures
JC Vialatte, F Leduc-Primeau
9th Int. Conf. on Advanced Cognitive Technologies and Applications, 2017
92017
Translations on graphs with neighborhood preservation
B Pasdeloup, V Gripon, N Grelier, JC Vialatte, D Pastor
arXiv preprint arXiv:1709.03859, 130-133, 2017
72017
Matching Convolutional Neural Networks without Priors about Data
CERK Lassance, JC Vialatte, V Gripon
2018 IEEE Data Science Workshop, 2018
62018
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
JC Vialatte, V Gripon, G Coppin
Signal and Information Processing (GlobalSIP), 2017 IEEE Global Conference on, 2017
62017
Convolutional neural networks on irregular domains through approximate translations on inferred graphs
B Pasdeloup, V Gripon, JC Vialatte, D Pastor
arXiv preprint arXiv:1710.10035, 45-131, 2017
52017
A unified deep learning formalism for processing graph signals
M Bontonou, C Lassance, JC Vialatte, V Gripon
arXiv preprint arXiv:1905.00496, 2019
12019
Un modèle unifié pour la classification de signaux sur graphe avec de l'apprentissage profond
M Bontonou, C Lassance, JC Vialatte, V Gripon
GRETSI, 2020
2020
Convolution et apprentissage profond sur graphes
JC Vialatte
Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2018
2018
On convolution of graph signals and deep learning on graph domains
JC Vialatte
2018
Matching Convolutional Neural Networks without Priors about Data
V Gripon, CERK Lassance, JC Vialatte
DSW 2018: IEEE Data Science Workshop, 2018
2018
Matching Convolutional Neural Networks without Priors about Data
CE Rosar Kos Lassance, JC Vialatte, V Gripon
arXiv, arXiv: 1802.09802, 2018
2018
Convolutional neural networks on irregular domains based on approximate vertex-domain translations
B Pasdeloup, V Gripon, JC Vialatte, D Pastor, P Frossard
arXiv preprint arXiv:1710.10035, 2017
2017
A neighborhood-preserving translation operator on graphs
B Pasdeloup, V Gripon, JC Vialatte, N Grelier, D Pastor
arXiv preprint arXiv:1709.03859, 2017
2017
PROCESSING GRAPH SIGNALS: A UNIFIED DEEP LEARNING FORMALISM
M Bontonou, C Lassance, JC Vialatte, V Gripon
An extension of convolutional neural networks to irregular domains through graph inference and translations identification
B Pasdeloup, JC Vialatte, V Gripon
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Articles 1–17