Jean-Charles Vialatte
Jean-Charles Vialatte
IMT Atlantique, Senx
Adresse e-mail validée de imt-atlantique.fr
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Generalizing the convolution operator to extend cnns to irregular domains
JC Vialatte, V Gripon, G Mercier
arXiv preprint arXiv:1606.01166, 2016
262016
Neighborhood-preserving translations on graphs
N Grelier, B Pasdeloup, JC Vialatte, V Gripon
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
162016
A Study of Deep Learning Robustness Against Computation Failures
JC Vialatte, F Leduc-Primeau
9th Int. Conf. on Advanced Cognitive Technologies and Applications, 2017
112017
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
On convolution of graph signals and deep learning on graph domains
JC Vialatte
12018
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
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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