Scholar
Elvis Dohmatob
Google Scholar ID: FDWgJY8AAAAJ
Associate Professor at Concordia University and Mila Quebec AI Institute
machine learning
deep learning
neural scaling laws
learning theory
adversarial examples
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Citations & Impact
All-time
Citations
1,407
H-index
19
i10-index
24
Publications
20
Co-authors
25
list available
Contact
Email
elvis.dohmatob@concordia.ca
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Publications
6 items
Efficient Refusal Ablation in LLM through Optimal Transport
2026
Cited
0
Why Less is More (Sometimes): A Theory of Data Curation
2025
Cited
0
Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking
2025
Cited
0
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory
2025
Cited
0
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
2025
Cited
0
An Effective Theory of Bias Amplification
arXiv.org · 2024
Cited
0
Resume (English only)
Co-authors
25 total
Bertrand Thirion
Inria
Gaël Varoquaux
Research director, INRIA
Danilo Bzdok
Canada CIFAR AI Chair at McGill University & Mila Quebec AI Institute, Montreal
Mike Gartrell
Lead AI Research Scientist, Sigma Nova
Co-author 5
Co-author 6
JB Poline
MNI, McGill University and UC Berkeley
Jeremie MARY
Criteo AI Lab
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