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Benjamin Leblanc

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
2024 · Zain Sanchez-Reinoso, Mathieu Bazinet, et al. · Separation and Purification Technology · 11
Seeking Interpretability and Explainability in Binary Activated Neural Networks
2024 · Benjamin Leblanc, Pascal Germain · Communications in computer and information science · 3
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On the Relationship Between Interpretability and Explainability in Machine Learning
2023 · Leblanc, Benjamin, Germain, Pascal · arXiv (Cornell University) · 3
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PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations
2023 · Louis Fortier-Dubois, Benjamin Leblanc, et al. · 1
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On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm
2026 · Bastian, Julien, Leblanc, Benjamin, et al. · arXiv (Cornell University)
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Simplicity Suffices for Parameter Noise Injection in Stochastic Gradient Descent
2026 · Leblanc, Benjamin, Lebel, Louis-Jacob, et al. · arXiv (Cornell University)
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PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers
2026 · Bastian, Julien, Leblanc, Benjamin, et al. · arXiv (Cornell University)
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Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning
2024 · Benjamin Leblanc, Mathieu Bazinet, et al. · Qeios
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
2024 · Leblanc, Benjamin, Bazinet, Mathieu, et al. · arXiv (Cornell University)
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Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations
2021 · Louis Fortier-Dubois, Gaël Letarte, et al. · arXiv (Cornell University)
Works count: 11
Citation count: 18
H-index: 3
I10-index: 1
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