| Generalizing the convolution operator to extend cnns to irregular domains JC Vialatte, V Gripon, G Mercier arXiv preprint arXiv:1606.01166, 2016 | 32 | 2016 |
| A Study of Deep Learning Robustness Against Computation Failures JC Vialatte, F Leduc-Primeau 9th Int. Conf. on Advanced Cognitive Technologies and Applications, 2017 | 23 | 2017 |
| Neighborhood-preserving translations on graphs N Grelier, B Pasdeloup, JC Vialatte, V Gripon 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 21 | 2016 |
| 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 | 11 | 2017 |
| Matching Convolutional Neural Networks without Priors about Data CERK Lassance, JC Vialatte, V Gripon 2018 IEEE Data Science Workshop, 2018 | 9 | 2018 |
| Translations on graphs with neighborhood preservation B Pasdeloup, V Gripon, N Grelier, JC Vialatte, D Pastor arXiv preprint arXiv:1709.03859, 130-133, 2017 | 8 | 2017 |
| 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 | 5 | 2017 |
| A unified deep learning formalism for processing graph signals M Bontonou, C Lassance, JC Vialatte, V Gripon arXiv preprint arXiv:1905.00496, 2019 | 3 | 2019 |
| On convolution of graph signals and deep learning on graph domains JC Vialatte Ecole nationale supérieure Mines-Télécom Atlantique, 2018 | 2 | 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 | 2 | 2017 |
| A neighborhood-preserving translation operator on graphs B Pasdeloup, V Gripon, JC Vialatte, N Grelier, D Pastor arXiv preprint arXiv:1709.03859, 2017 | 2 | 2017 |
| 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 e-prints, arXiv: 1802.09802, 2018 | | 2018 |
| PROCESSING GRAPH SIGNALS: A UNIFIED DEEP LEARNING FORMALISM M Bontonou, C Lassance, JC Vialatte, V Gripon | | |
Vincent GriponIMT Atlantique and Lab-STICCVerified email at imt-atlantique.fr
