Myriam Bontonou

According to our database, Myriam Bontonou authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explaining models relating objects and privacy.

Alessio Xompero, Myriam Bontonou, Jean-Michel Arbona, Emmanouil Benetos, Andrea Cavallaro

CoRR, 2024

A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches.

Myriam Bontonou, Anaïs Haget, Maria Boulougouri, Benjamin Audit, Pierre Borgnat, Jean-Michel Arbona

CoRR, 2024

2023

Studying Limits of Explainability by Integrated Gradients for Gene Expression Models.

Myriam Bontonou, Anaïs Haget, Maria Boulougouri, Jean-Michel Arbona, Benjamin Audit, Pierre Borgnat

CoRR, 2023

2021

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).

Myriam Bontonou

PhD thesis, 2021

Predicting the Generalization Ability of a Few-Shot Classifier.

Myriam Bontonou, Louis Béthune, Vincent Gripon

Inf., 2021

Graphs as Tools to Improve Deep Learning Methods.

Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon

CoRR, 2021

Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification.

Myriam Bontonou, Nicolas Farrugia, Vincent Gripon

CoRR, 2021

Few-Shot Decoding of Brain Activation Maps.

Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon

Proceedings of the 29th European Signal Processing Conference, 2021

Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps?

Myriam Bontonou, Nicolas Farrugia, Vincent Gripon

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs.

Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon

CoRR, 2020

Few-shot Learning for Decoding Brain Signals.

Myriam Bontonou, Nicolas Farrugia, Vincent Gripon

CoRR, 2020

Predicting the Accuracy of a Few-Shot Classifier.

Myriam Bontonou, Louis Béthune, Vincent Gripon

CoRR, 2020

Deep Geometric Knowledge Distillation with Graphs.

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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Comparing linear structure-based and data-driven latent spatial representations for sequence prediction.

Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia

CoRR, 2019

A Unified Deep Learning Formalism For Processing Graph Signals.

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

CoRR, 2019

Introducing Graph Smoothness Loss for Training Deep Learning Architectures.

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

Proceedings of the IEEE Data Science Workshop, 2019