Jean-Charles Vialatte

According to our database, Jean-Charles Vialatte authored at least 9 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

A Unified Deep Learning Formalism For Processing Graph Signals.

Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon

CoRR, 2019

2018

On convolution of graph signals and deep learning on graph domains. (Convolution et apprentissage profond sur graphes).

Jean-Charles Vialatte

PhD thesis, 2018

Matching Convolutional Neural Networks without Priors about Data.

Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Convolutional neural networks on irregular domains through approximate translations on inferred graphs.

Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor

CoRR, 2017

Translations on graphs with neighborhood preservation.

Bastien Pasdeloup, Vincent Gripon, Nicolas Grelier, Jean-Charles Vialatte, Dominique Pastor

CoRR, 2017

A Study of Deep Learning Robustness Against Computation Failures.

Jean-Charles Vialatte, François Leduc-Primeau

CoRR, 2017

Learning local receptive fields and their weight sharing scheme on graphs.

Jean-Charles Vialatte, Vincent Gripon, Gilles Coppin

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Generalizing the Convolution Operator to Extend CNNs to Irregular Domains.

Jean-Charles Vialatte, Vincent Gripon, Grégoire Mercier

CoRR, 2016

Neighborhood-preserving translations on graphs.

Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016