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, ...)
Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning [paper][preprint]
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain (Compression Workshop, NeurIPS24)
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
