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Books and Theses
- 2021
[b1]Myriam Bontonou:
Leveraging data structure to learn from few examples: applications to computer vision and neuroimaging. (Exploiter la structure des données pour apprendre à partir de quelques exemples : applications à la vision assistée par ordinateur et à la neuro-imagerie). IMT Atlantique Bretagne Pays de la Loire, Brest, France, 2021
Journal Articles
- 2021
- [j1]Myriam Bontonou
, Louis Béthune, Vincent Gripon:
Predicting the Generalization Ability of a Few-Shot Classifier. Inf. 12(1): 29 (2021)
Conference and Workshop Papers
- 2024
- [c5]Cécile Bastidon, Myriam Bontonou, Pierre Borgnat, Pablo Jensen, Patrice Abry, Antoine Parent:
Learning Smooth Graphs with Sparse Temporal Variations to Explore Long-Term Financial Trends. EUSIPCO 2024: 2487-2491 - 2021
- [c4]Myriam Bontonou, Nicolas Farrugia, Vincent Gripon:
Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps? ACSCC 2021: 1288-1291 - [c3]Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon:
Few-Shot Decoding of Brain Activation Maps. EUSIPCO 2021: 1326-1330 - 2020
- [c2]Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Deep Geometric Knowledge Distillation with Graphs. ICASSP 2020: 8484-8488 - 2019
- [c1]Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. DSW 2019: 160-164
Informal and Other Publications
- 2024
- [i12]Myriam Bontonou, Anaïs Haget, Maria Boulougouri, Benjamin Audit, Pierre Borgnat, Jean-Michel Arbona:
A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches. CoRR abs/2402.00926 (2024) - [i11]Alessio Xompero, Myriam Bontonou, Jean-Michel Arbona, Emmanouil Benetos, Andrea Cavallaro:
Explaining models relating objects and privacy. CoRR abs/2405.01646 (2024) - 2023
- [i10]Myriam Bontonou, Anaïs Haget, Maria Boulougouri, Jean-Michel Arbona, Benjamin Audit, Pierre Borgnat:
Studying Limits of Explainability by Integrated Gradients for Gene Expression Models. CoRR abs/2303.11336 (2023) - 2021
- [i9]Myriam Bontonou, Nicolas Farrugia, Vincent Gripon:
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification. CoRR abs/2108.10427 (2021) - [i8]Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon:
Graphs as Tools to Improve Deep Learning Methods. CoRR abs/2110.03999 (2021) - 2020
- [i7]Myriam Bontonou, Louis Béthune, Vincent Gripon:
Predicting the Accuracy of a Few-Shot Classifier. CoRR abs/2007.04238 (2020) - [i6]Myriam Bontonou, Nicolas Farrugia, Vincent Gripon:
Few-shot Learning for Decoding Brain Signals. CoRR abs/2010.12500 (2020) - [i5]Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon:
Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs. CoRR abs/2011.12737 (2020) - 2019
- [i4]Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. CoRR abs/1905.00301 (2019) - [i3]Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon:
A Unified Deep Learning Formalism For Processing Graph Signals. CoRR abs/1905.00496 (2019) - [i2]Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia:
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. CoRR abs/1908.06868 (2019) - [i1]Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Deep geometric knowledge distillation with graphs. CoRR abs/1911.03080 (2019)
Coauthor Index
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