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Myriam Bontonou
Myriam Bontonou
IMT Atlantique, Lab-STICC
Verified email at imt-atlantique.fr
Title
Cited by
Cited by
Year
Deep geometric knowledge distillation with graphs
C Lassance, M Bontonou, GB Hacene, V Gripon, J Tang, A Ortega
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
222020
Introducing graph smoothness loss for training deep learning architectures
M Bontonou, C Lassance, GB Hacene, V Gripon, J Tang, A Ortega
2019 IEEE Data Science Workshop (DSW), 160-164, 2019
122019
Few-shot learning for decoding brain signals
M Bontonou, N Farrugia, V Gripon
arXiv e-prints, arXiv: 2010.12500, 2020
52020
Ranking deep learning generalization using label variation in latent geometry graphs
C Lassance, L Béthune, M Bontonou, M Hamidouche, V Gripon
arXiv preprint arXiv:2011.12737, 2020
32020
Predicting the accuracy of a few-shot classifier
M Bontonou, L Béthune, V Gripon
arXiv preprint arXiv:2007.04238, 2020
32020
A unified deep learning formalism for processing graph signals
M Bontonou, C Lassance, JC Vialatte, V Gripon
arXiv preprint arXiv:1905.00496, 2019
32019
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction
M Bontonou, C Lassance, V Gripon, N Farrugia
Wavelets and Sparsity XVIII 11138, 111380Z, 2019
22019
Few-Shot Decoding of Brain Activation Maps
M Bontonou, G Lioi, N Farrugia, V Gripon
2021 29th European Signal Processing Conference (EUSIPCO), 1326-1330, 2021
12021
Leveraging data structure to learn from few examples: applications to computer vision and neuroimaging
M Bontonou
Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2021
2021
Graphs as Tools to Improve Deep Learning Methods
C Lassance, M Bontonou, M Hamidouche, B Pasdeloup, L Drumetz, ...
arXiv preprint arXiv:2110.03999, 2021
2021
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification
M Bontonou, N Farrugia, V Gripon
arXiv preprint arXiv:2108.10427, 2021
2021
Predicting the Generalization Ability of a Few-Shot Classifier
M Bontonou, L Béthune, V Gripon
Information 12 (1), 29, 2021
2021
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
Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps?
M Bontonou, N Farrugia, V Gripon
2021 55th Asilomar Conference on Signals, Systems, and Computers, 1288-1291, 0
PROCESSING GRAPH SIGNALS: A UNIFIED DEEP LEARNING FORMALISM
M Bontonou, C Lassance, JC Vialatte, V Gripon
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