Short bio
After completing my undergraduate studies in actuarial sciences, I reoriented myself. I am currently doing a Ph.D. in computer science (machine learning) at Université Laval, under the supervision of Pascal Germain.Interests of research
- Interpretability
- Explainability
- Ethics
- Artificial neural networks
- Machine learning theory
- Generalization bounds
Publications
Peer-Reviewed Works (conferences, journals, workshops, ...)
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks [paper]
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain (ICML 2025; NeurIPS 2024, Compression Workshop)
Application of machine learning tools to study the synergistic impact of physicochemical properties of peptides and filtration membranes on peptide migration during electrodialysis with filtration membranes [paper]
Zain Sanchez-Reinoso, Mathieu Bazinet, Benjamin Leblanc, Jean-Pierre Clément, Pascal Germain, Laurent Bazinet (Journal of Separation and Purification Technology 2024)
Seeking Interpretability and Explainability in Binary Activated Neural Networks [paper][preprint]
Benjamin Leblanc, Pascal Germain (xAI 2024)
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations [paper][preprint]
Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain (CANAI 2023)
Selected reports
On the Relationship Between Interpretability and Explainability in Machine Learning [ArXiv]
Benjamin Leblanc, Pascal Germain (2023)
Selected Talks and Presentations
Seeking Interpretability and Explainability in Binary Activated Neural Networks [slides]
IJCAI 2023 Workshop on Explainable Artificial Intelligence (XAI)
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations [slides]
Teaching
Mathématiques pour informaticiens (2023, 2024) - Université Laval, Département d'informatique et de génie logiciel
Affiliations
