Scholar
Eugene Belilovsky
Google Scholar ID: CffJDoEAAAAJ
Associate Professor, Concordia University and Mila Quebec AI Institute
Distributed Learning
Continual Learning
Federated Learning
Learned Optimizers
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Citations & Impact
All-time
Citations
3,850
H-index
29
i10-index
44
Publications
20
Co-authors
28
list available
Contact
Email
Belilovsky.Eugene@gmail.com
GitHub
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Publications
27 items
Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
2026
Cited
0
Efficient Refusal Ablation in LLM through Optimal Transport
2026
Cited
0
Celo2: Towards Learned Optimization Free Lunch
2026
Cited
0
Stabilizing Native Low-Rank LLM Pretraining
2026
Cited
0
Understanding and Exploiting Weight Update Sparsity for Communication-Efficient Distributed RL
2026
Cited
0
Heterogeneous Low-Bandwidth Pre-Training of LLMs
arXiv.org · 2026
Cited
0
When Data Falls Short: Grokking Below the Critical Threshold
2025
Cited
0
Test Time Adaptation Using Adaptive Quantile Recalibration
2025
Cited
0
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Resume (English only)
Academic Achievements
Recipient of FRQNT New Scholar grant
Co-PI on two FRQNT team grants
Two PhD students (Benjamin Therien and Abhinav Moudgil) awarded FRQNT Doctoral Scholarships
Three papers accepted at ICLR 2025
Two papers accepted at NeurIPS 2023 on Federated Transfer Learning and Decentralized Learning
Three papers accepted at ICML 2023
MS student Amir Sarfi had a paper accepted at CVPR 2023
ClipMesh accepted at SIGGRAPH Asia 2022
MS students Nasir Khalid, Nader Asadi, and Amir Sarfi successfully defended their theses with 'outstanding' grades
Co-organizing the 'Localized Learning' workshop at ICML 2023
Co-authors
28 total
Edouard Oyallon
CNRS, Sorbonne University
Lucas Caccia
Microsoft Research
Matthew Blaschko
KU Leuven
Guy Wolf
Université de Montréal; Mila
Rahaf Aljundi
Senior Researcher at Toyota Motor Europe
Benjamin Thérien
Ph.D. Student, Université de Montréal
Irina Rish
University of Montreal / Mila -Quebec AI Institute
Boris Knyazev
Research Scientist, Samsung - SAIT AI Lab
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