Benjamin Leblanc

According to our database, Benjamin Leblanc authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers.

Julien Bastian, Benjamin Leblanc, Pascal Germain, Amaury Habrard, Christine Largeron, Guillaume Metzler, Emilie Morvant, Paul Viallard

CoRR, February, 2026

2025

A Framework for Bounding Deterministic Risk with PAC-Bayes: Applications to Majority Votes.

Benjamin Leblanc, Pascal Germain

CoRR, October, 2025

Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks.

Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning.

Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain

CoRR, 2024

Seeking Interpretability and Explainability in Binary Activated Neural Networks.

Benjamin Leblanc, Pascal Germain

Proceedings of the Explainable Artificial Intelligence, 2024

2023

Interpretability in Machine Learning: on the Interplay with Explainability, Predictive Performances and Models.

Benjamin Leblanc, Pascal Germain

CoRR, 2023

PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations.

Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

A Greedy Algorithm for Building Compact Binary Activated Neural Networks.

Benjamin Leblanc, Pascal Germain

CoRR, 2022

2021

Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations.

Louis Fortier-Dubois, Gaël Letarte, Benjamin Leblanc, François Laviolette, Pascal Germain

CoRR, 2021