Benjamin Leblanc

Joined

May 2021

Names

Benjamin Leblanc (Preferred)

Emails

****@ulaval.ca (Confirmed)

Personal Links

Career & Education History

PhD student

Laval university (ulaval.ca)

2022 – 2025

Advisors, Relations & Conflicts

Coauthor

Mathieu Bazinet

2024 – Present

Coauthor

Alexandre Drouin

2024 – Present

Coauthor

Nathaniel D'Amours

2024 – Present

Coauthor

Louis Fortier-Dubois

2021 – Present

Coauthor

Gaël Letarte

2021 – Present

Coauthor

2020 – Present

Coauthor

François Laviolette

2020 – Present

Expertise

No areas of expertise listed

Publications

Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain
- ICML 2025 poster
- Readers: Everyone
On the Relationship Between Interpretability and Explainability in Machine Learning
Benjamin Leblanc
- OpenReview Archive Direct Upload
- Readers: Everyone
Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations
Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain
- Published: 01 Jan 2023, Last Modified: 29 Sept 2023
- Canadian AI 2023
- Readers: Everyone
A Greedy Algorithm for Building Compact Binary Activated Neural Networks
Benjamin Leblanc, Pascal Germain
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations
Louis Fortier-Dubois, Gaël Letarte, Benjamin Leblanc, François Laviolette, Pascal Germain
- 2021 (modified: 24 Apr 2023)
- CoRR 2021
- Readers: Everyone

Co-Authors