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
242016
Neighborhood-preserving translations on graphs
N Grelier, B Pasdeloup, JC Vialatte, V Gripon
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
132016
Translations on graphs with neighborhood preservation
B Pasdeloup, V Gripon, N Grelier, JC Vialatte, D Pastor
arXiv preprint arXiv:1709.03859, 2017
62017
A Study of Deep Learning Robustness Against Computation Failures
JC Vialatte, F Leduc-Primeau
9th Int. Conf. on Advanced Cognitive Technologies and Applications, 2017
62017
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
52017
Matching Convolutional Neural Networks without Priors about Data
CERK Lassance, JC Vialatte, V Gripon
2018 IEEE Data Science Workshop, 2018
42018
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, 2017
42017
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
2018
Matching Convolutional Neural Networks without Priors about Data
V Gripon, CERK Lassance, JC Vialatte
2018
Matching Convolutional Neural Networks without Priors about Data
CE Rosar Kos Lassance, JC Vialatte, V Gripon
arXiv preprint 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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