| Seeking Interpretability and Explainability in Binary Activated Neural Networks B Leblanc, P Germain World Conference on Explainable Artificial Intelligence, 2024, 2022 | 5* | 2022 |
| On the Relationship Between Interpretability and Explainability in Machine Learning B Leblanc, P Germain arXiv preprint arXiv:2311.11491, 2023 | 4* | 2023 |
| PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. L Fortier-Dubois, B Leblanc, G Letarte, F Laviolette, P Germain Canadian AI, 2023 | 3* | 2023 |
| Application of machine learning tools to study the synergistic impact of physicochemical properties of peptides and filtration membranes on peptide migration during … Z Sanchez-Reinoso, M Bazinet, B Leblanc, JP Clément, P Germain, ... Separation and Purification Technology, 130877, 2024 | 2 | 2024 |
| Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning B Leblanc, M Bazinet, N D'Amours, A Drouin, P Germain arXiv preprint arXiv:2410.13577, 2024 | | 2024 |
| A strongly dual approach for building interpretable binary activated neural networks B Leblanc | | 2022 |
Pascal GermainAssociate Professor, Université LavalE-mailová adresa ověřena na: ift.ulaval.ca