Mes publications

Vous pouvez trouver tous mes articles sur mon profil Google Scholar.
Pour citer ces papiers, veuillez utiliser les citations qui se trouvent dans ce fichier.

Articles

Impact of hydrolysis duration and discoloration on peptide profiles and antimicrobial properties in chicken cruor hydrolysates: Identification of five novel antifungal peptides

Delasa Rahimi, Mathieu Bazinet, Zain Sanchez-Reinoso, Sara García-Vela, Juan de Toro-Martín, Sergey Mikaylin, Laurent Bazinet

Food Chemistry, Mar 2026

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Identification of antihypertensive, antidiabetic, and antioxidant peptides derived from hydrolysates of dairy white wastewaters containing milk proteins using machine learning insights

Diala Damen, Hairati Aboubacar, Aurore Cournoyer, Mathieu Bazinet, Juan de Toro-Martín, Sami Gaaloul, Safia Hamoudi, Benoit Cudennec, Laurent Bazinet

Food Research International, Jan 2026

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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

Version longue du papier Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning.

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Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses

Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain

AISTATS 2025

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Application of machine learning tools to study the synergistic impact of physicochemical properties.

Zain Sanchez-Reinoso, Mathieu Bazinet, Benjamin Leblanc, Jean-Pierre Clément, Pascal Germain, Laurent Bazinet

Separation and Purification Technology, Dec 2024

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How peptide migration and fraction bioactivity are modulated by applied electrical current conditions during electromembrane process separation: A comprehensive machine learning-based peptidomic approach

Aurore Cournoyer, Mathieu Bazinet, Jean-Pierre Clément, Pier-Luc Plante, Ismail Fliss, Laurent Bazinet

Food Research International, Nov 2024

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Preprints et articles en soumission

Bound to Disagree : Generalization Bounds via Certifiable Surrogates

Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain

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Effects of Pulsed Electric Field Pulse/Pause Combination on Anionic Peptide Migration During Electromembrane Separation of a Whey Protein Hydrolysate: A Machine Learning-Based Comprehensive Study.

Leonel Cedrick Mafotang Tasgue, Mathieu Bazinet, Aurore Cournoyer, Marcello Fidaleo, Laurent Bazinet

En soumission dans Food Research International.

Identification of novel antifungal peptides using an integrated peptidomics and machine learning approach on raw and discolored turkey cruor hydrolysates

Houssine Fliss, Mathieu Bazinet, Sara García-Vela, Jacinthe Thibodeau, Laurent Bazinet, Sergey Mikhaylin

En révision dans Food Chemistry

Sample Compression for Self-Certified Continual Learning

Jacob Comeau*, Mathieu Bazinet*, Pascal Germain, Cem Subakan

* indique une contribution égale.

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Wavelet-Based Feature Map for Kernel Approximation.

Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain

Cet article a été soumis en 2023, mais n'a jamais été publié.

Articles de workshop

Sample Compression Unleashed : New Generalization Bounds for Real Valued Losses.

Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain

Workshop on Mathematics of Modern Machine Learning of NeurIPS 2024

OpenReview Poster

Sample Compression Unleashed : New Generalization Bounds for Real Valued Losses.

Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain

Workshop on Machine Learning and Compression of NeurIPS 2024

OpenReview forum Poster

Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning.

Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain

Workshop on Machine Learning and Compression of NeurIPS 2024

OpenReview Poster