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Ezekiel Williams

Doctorat - UdeM
Superviseur⋅e principal⋅e
Guillaume Lajoie
Sujets de recherche
Neurosciences computationnelles
Réseaux de neurones récurrents
Systèmes dynamiques
Théorie de l'information
Site web
Google Scholar
GitHub

Publications

Expressivity of Neural Networks with Random Weights and Learned Biases
Ezekiel Williams
Avery Hee-Woon Ryoo
Thomas Jiralerspong
Alexandre Payeur
Matt Perich
Luca Mazzucato
Guillaume Lajoie
2025-01-22
ICLR.cc/2025/Conference (poster)
doi.org
openreview.net
Expressivity of Neural Networks with Fixed Weights and Learned Biases
Ezekiel Williams
Avery Hee-Woon Ryoo
Thomas Jiralerspong
Alexandre Payeur
Matt Perich
Luca Mazzucato
Guillaume Lajoie
2024-06-16
ICML.cc/2024/Workshop/HiLD (poster)
openreview.net
openreview.net
Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
Ezekiel Williams
Colin Bredenberg
Guillaume Lajoie
2023-07-03
Proceedings of the 40th International Conference on Machine Learning (publié)
doi.org
openreview.net
Formalizing locality for normative synaptic plasticity models
Colin Bredenberg
Ezekiel Williams
Cristina Savin
Blake Richards
Guillaume Lajoie
openreview.net