Neighborhood-preserving translations on graphs. - Nicolas Grelier; Bastien Pasdeloup; Jean-Charles Vialatte; Vincent Gripon (GlobalSIP, 2016)

Generalizing the Convolution Operator to Extend CNNs to Irregular Domains. - Jean-Charles Vialatte; Vincent Gripon; Grégoire Mercier (CoRR, 2016)

Learning local receptive fields and their weight sharing scheme on graphs. - Jean-Charles Vialatte; Vincent Gripon; Gilles Coppin (GlobalSIP, 2017)

A Study of Deep Learning Robustness Against Computation Failures. - Jean-Charles Vialatte; François Leduc-Primeau (CoRR, 2017)

Translations on graphs with neighborhood preservation. - Bastien Pasdeloup; Vincent Gripon; Nicolas Grelier; Jean-Charles Vialatte; Dominique Pastor (CoRR, 2017)

Convolutional neural networks on irregular domains through approximate translations on inferred graphs. - Bastien Pasdeloup; Vincent Gripon; Jean-Charles Vialatte; Dominique Pastor (CoRR, 2017)

Matching Convolutional Neural Networks without Priors about Data. - Carlos Eduardo Rosar Kós Lassance; Jean-Charles Vialatte; Vincent Gripon (DSW, 2018)

On convolution of graph signals and deep learning on graph domains. (Convolution et apprentissage profond sur graphes). - Jean-Charles Vialatte (2018)

A Unified Deep Learning Formalism For Processing Graph Signals. - Myriam Bontonou; Carlos Eduardo Rosar Kós Lassance; Jean-Charles Vialatte; Vincent Gripon (CoRR, 2019)