フォロー
Myriam Bontonou
Myriam Bontonou
確認したメール アドレス: ens-lyon.fr
タイトル
引用先
引用先
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
472020
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
172019
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
92020
Few-shot learning for decoding brain signals
M Bontonou, N Farrugia, V Gripon
arXiv preprint arXiv:2010.12500 111, 2020
92020
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
72021
Predicting the accuracy of a few-shot classifier
M Bontonou, L Béthune, V Gripon
arXiv preprint arXiv:2007.04238, 2020
62020
Predicting the generalization ability of a few-shot classifier
M Bontonou, L Béthune, V Gripon
Information 12 (1), 29, 2021
32021
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, 306-314, 2019
32019
A unified deep learning formalism for processing graph signals
M Bontonou, C Lassance, JC Vialatte, V Gripon
arXiv preprint arXiv:1905.00496, 2019
32019
Studying Limits of Explainability by Integrated Gradients for Gene Expression Models
M Bontonou, A Haget, M Boulougouri, JM Arbona, B Audit, P Borgnat
arXiv preprint arXiv:2303.11336, 2023
12023
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
12021
Explaining models relating objects and privacy
A Xompero, M Bontonou, JM Arbona, E Benetos, A Cavallaro
arXiv preprint arXiv:2405.01646, 2024
2024
A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches
M Bontonou, A Haget, M Boulougouri, B Audit, P Borgnat, JM Arbona
arXiv preprint arXiv:2402.00926, 2024
2024
Expliquer la classification d'expression de gènes par la méthode des gradients intégrés
M Bontonou, JM Arbona, B Audit, P Borgnat
GRETSI, 29e Colloque sur le traitement du signal et des images, 1233-1236, 2023
2023
Leveraging data structure to learn from few examples: applications to computer vision and neuroimaging
M Bontonou
Ecole nationale supérieure Mines-Télécom Atlantique, 2021
2021
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, 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
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
PROCESSING GRAPH SIGNALS: A UNIFIED DEEP LEARNING FORMALISM
M Bontonou, C Lassance, JC Vialatte, V Gripon
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論文 1–19