Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning.
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain
ArXiv version of the paper
Publications
You can also find my articles on my Google Scholar profile.
Articles
Sample Compression Unleashed : New Generalization Bounds for Real Valued Losses.
Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain
ArXiv version of the paper Code for the paper
Wavelet-Based Feature Map for Kernel Approximation.
Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain
This article was submitted at a conference in 2023, but was never published.
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
Zain Sanchez-Reinoso, Mathieu Bazinet, Benjamin Leblanc, Jean-Pierre Clément, Pascal Germain, Laurent Bazinet.
Currently under review.
Code for the paper
How peptide migration and fraction bioactivity are modulated by electrical current modes during separation by an electromembrane process: A comprehensive machine learning-based peptidomic approach.
Aurore Cournoyer, Mathieu Bazinet, Jean-Pierre Clément, Pier-Luc Plante, Ismail Fliss, Laurent Bazinet.
Present in Aurore Cournoyer's thesis. Currently under review.
Code for the paper
Workshop papers
Sample Compression Unleashed : New Generalization Bounds for Real Valued Losses.
Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain
Paper accepted at the Workshop on Mathematics of Modern Machine Learning of NeurIPS 2024.
Sample Compression Unleashed : New Generalization Bounds for Real Valued Losses.
Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain
Paper accepted at the Workshop on Machine Learning and Compression of NeurIPS 2024.
Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning.
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain
Paper accepted at the Workshop on Machine Learning and Compression of NeurIPS 2024.