Vincent Gripon

Electronics Department, Télécom Bretagne, Brest, France

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Graph Filtering for Improving the Accuracy of Classification problems

Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz,Bastien Pasdeloup,Vincent Gripon

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Representing Deep Neural Networks Latent Space Geometries with Graphs

Carlos Lassance,Vincent Gripon,Antonio Ortega

Algorithms, no. 2 (2021): 39

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DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems

Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene

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Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay

Hugo Tessier,Vincent Gripon, Mathieu Léonardon,Matthieu Arzel, Thomas Hannagan, David Bertrand

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Few-shot Learning for Decoding Brain Signals

Myriam Bontonou,Nicolas Farrugia,Vincent Gripon

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Gradients of Connectivity as Graph Fourier Bases of Brain Activity

Giulia Lioi,Vincent Gripon, Abdelbasset Brahim, François Rousseau,Nicolas Farrugia

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Transfer Learning with Sparse Associative Memories

Quentin Jodelet,Vincent Gripon, Masafumi Hagiwara

arXiv: Learning, (2019)

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Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories

Ghouthi Boukli Hacene,Vincent Gripon,Nicolas Farrugia,Matthieu Arzel,Michel Jezequel

Journal of Signal Processing Systems, no. 9 (2019): 1063-1073

Cited by8Bibtex

Transfer Learning with Sparse Associative Memories

Quentin Jodelet,Vincent Gripon, Masafumi Hagiwara

ICANN (1), pp.497-512, (2019)

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Deep geometric knowledge distillation with graphs

Lassance Carlos, Bontonou Myriam, Hacene Ghouthi Boukli,Gripon Vincent,Tang Jian,Ortega Antonio

ICASSP, pp.8484-8488, (2019)

Cited by1EIBibtex

Efficient Hardware Implementation of Incremental Learning and Inference on Chip

Ghouthi B. Hacene,Vincent Gripon,Nicolas Farrugia,Matthieu Arzel,Michel Jézéquel

NEWCAS, pp.1-4, (2019)

EIBibtex

Attention Based Pruning for Shift Networks

Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance,Vincent Gripon,Matthieu Courbariaux,Yoshua Bengio

arXiv: Neural and Evolutionary Computing, (2019)

EIBibtex

A Unified Deep Learning Formalism For Processing Graph Signals

Myriam Bontonou, Carlos Lassance, Jean-Charles Vialatte,Vincent Gripon

arXiv: Learning, (2019)

EIBibtex

Introducing Graph Smoothness Loss for Training Deep Learning Architectures

Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene,Vincent Gripon,Jian Tang,Antonio Ortega

DSW, pp.160-164, (2019)

Cited by3EIBibtex

Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation

Vincent Gripon, Ghouthi B. Hacene,Matthias Löwe,Franck Vermet

international conference on acoustics, speech, and signal processing, (2018)

Cited by3EIBibtex

Convolutional neural networks on irregular domains based on approximate vertex-domain translations

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

arXiv: Discrete Mathematics, (2018)

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An Inside Look at Deep Neural Networks Using Graph Signal Processing

Vincent Gripon,Antonio Ortega, Benjamin Girault

ITA, pp.1-9, (2018)

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A neighborhood-preserving translation operator on graphs

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

arXiv: Discrete Mathematics, (2018)

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Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness

Carlos Eduardo Rosar Kos Lassance,Vincent Gripon, Antonio Ortega

arXiv: Learning, (2018)

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Matching Convolutional Neural Networks without Priors about Data

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

DSW, (2018): 234-238

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Papers74 papers

Vincent Gripon