Myriam Bontonou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Graph Structure

Brain Activation

Significantly Improves The Accuracy

Top Venues

Publications

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 (2024)
Alessio Xompero, Myriam Bontonou, Jean-Michel Arbona, Emmanouil Benetos, Andrea Cavallaro
Explaining models relating objects and privacy. CoRR (2024)
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 (2023)
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)
Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon
Graphs as Tools to Improve Deep Learning Methods. CoRR (2021)
Myriam Bontonou, Louis Béthune, Vincent Gripon
Predicting the Generalization Ability of a Few-Shot Classifier. Inf. 12 (1) (2021)
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification. CoRR (2021)
Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon
Few-Shot Decoding of Brain Activation Maps. EUSIPCO (2021)
Myriam Bontonou, Louis Béthune, Vincent Gripon
Predicting the Accuracy of a Few-Shot Classifier. CoRR (2020)
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
Few-shot Learning for Decoding Brain Signals. CoRR (2020)
Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon
Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs. CoRR (2020)
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Deep Geometric Knowledge Distillation with Graphs. ICASSP (2020)
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 (2019)
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 (2019)
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)
Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Deep geometric knowledge distillation with graphs. CoRR (2019)
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
A Unified Deep Learning Formalism For Processing Graph Signals. CoRR (2019)