About
The McGill Machine Learning Reading Group is a student-run reading group for machine learning at McGill University.
We meet weekly to discuss recent research papers in machine learning, and to learn about the latest developments in the field. We also discuss topics that may not necessarily be the most popular, but could perhaps lead to developments in society. These topics could be impactful, lucrative, or just plain interesting.
We are mainly a group of thinkers. Sometimes, we implement machine learning algorithms. Our current members encompasses students in Computer Science, Mathematics & Statistics, Biology, and Business & Finance. We welcome students from all backgrounds and levels of experience.
Recent Presentations
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Q&A on Steering LLMs in Sparse Spaces
Reza Bayat
Mila
2026-01-21
World Models
Dani
Université de Montréal
2025-11-17
Tiny Recursive Model
Dani
Université de Montréal
2025-11-10
Workshop on LLM Alignment
Dani
Université de Montréal
2025-11-03
Z1: Efficient Test-time Scaling with Code
Laurence Liang
McGill University
2025-10-27
Diffusion and Flow Matching
Mark Chiu
University of Waterloo
2025-10-20
Team
Tommy
Elian
Edmund
Elliot
Roko
Gabrielle
Anton
Tianyi
Shiyan
Moeez
Louis
Anthony
Santosh
Vincent
Jade
Laurence
Antonio
Latest Posts
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Contact
We're a small, bootstrapped, student-run organization. If you'd like to get involved, please join our Discord and stay tuned for updates.