Jean-Charles Vialatte

12 papers Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2019 J jnl
A Unified Deep Learning Formalism For Processing Graph Signals.
CoRR
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2018 — conf
Matching Convolutional Neural Networks without Priors about Data.
DSW
Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2018 J jnl
Matching Convolutional Neural Networks without Priors about Data.
CoRR
Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2018 — —
On convolution of graph signals and deep learning on graph domains. (Convolution et apprentissage profond sur graphes).
Jean-Charles Vialatte
2017 J jnl
A Study of Deep Learning Robustness Against Computation Failures.
CoRR
Jean-Charles Vialatte, François Leduc-Primeau
2017 J jnl
Convolutional neural networks on irregular domains through approximate translations on inferred graphs.
CoRR
Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor
2017 J jnl
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs.
CoRR
Jean-Charles Vialatte, Vincent Gripon, Gilles Coppin
2017 — conf
Learning local receptive fields and their weight sharing scheme on graphs.
GlobalSIP
Jean-Charles Vialatte, Vincent Gripon, Gilles Coppin
2017 J jnl
Translations on graphs with neighborhood preservation.
CoRR
Bastien Pasdeloup, Vincent Gripon, Nicolas Grelier, Jean-Charles Vialatte, Dominique Pastor
2016 J jnl
Generalizing the Convolution Operator to Extend CNNs to Irregular Domains.
CoRR
Jean-Charles Vialatte, Vincent Gripon, Grégoire Mercier
2016 J jnl
Neighborhood-Preserving Translations on Graphs.
CoRR
Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon
2016 — conf
Neighborhood-preserving translations on graphs.
GlobalSIP
Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon