Myriam Bontonou

20 papers Misc 1Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches. CoRR Myriam Bontonou, Anaïs Haget, Maria Boulougouri, Benjamin Audit, Pierre Borgnat, Jean-Michel Arbona
2024	—	`conf`	Explaining Models Relating Objects and Privacy. XAI4CV Alessio Xompero, Myriam Bontonou, Jean-Michel Arbona, Emmanouil Benetos, Andrea Cavallaro
2024	J	`jnl`	Explaining models relating objects and privacy. CoRR Alessio Xompero, Myriam Bontonou, Jean-Michel Arbona, Emmanouil Benetos, Andrea Cavallaro
2024	—	`conf`	Learning Smooth Graphs with Sparse Temporal Variations to Explore Long-Term Financial Trends. EUSIPCO Cécile Bastidon, Myriam Bontonou, Pierre Borgnat, Pablo Jensen, Patrice Abry, Antoine Parent
2023	J	`jnl`	Studying Limits of Explainability by Integrated Gradients for Gene Expression Models. CoRR Myriam Bontonou, Anaïs Haget, Maria Boulougouri, Jean-Michel Arbona, Benjamin Audit, Pierre Borgnat
2021	—	`conf`	Few-Shot Decoding of Brain Activation Maps. EUSIPCO Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon
2021	J	`jnl`	Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification. CoRR Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2021	J	`jnl`	Graphs as Tools to Improve Deep Learning Methods. CoRR Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon
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
2021	J	`jnl`	Predicting the Generalization Ability of a Few-Shot Classifier. Inf. Myriam Bontonou, Louis Béthune, Vincent Gripon
2021	—	`conf`	Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps? ACSCC Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2020	Misc	`conf`	Deep Geometric Knowledge Distillation with Graphs. ICASSP Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2020	J	`jnl`	Few-shot Learning for Decoding Brain Signals. CoRR Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2020	J	`jnl`	Predicting the Accuracy of a Few-Shot Classifier. CoRR Myriam Bontonou, Louis Béthune, Vincent Gripon
2020	J	`jnl`	Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs. CoRR Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon
2019	J	`jnl`	A Unified Deep Learning Formalism For Processing Graph Signals. CoRR Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2019	J	`jnl`	Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. CoRR Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia
2019	J	`jnl`	Deep geometric knowledge distillation with graphs. CoRR Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	—	`conf`	Introducing Graph Smoothness Loss for Training Deep Learning Architectures. DSW Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	J	`jnl`	Introducing Graph Smoothness Loss for Training Deep Learning Architectures. CoRR Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega