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
Co-authors
12 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
JB Poline
MNI, McGill University and UC Berkeley
Jeremie MARY
Criteo AI Lab
Christophe Pallier
CNRS Staff Scientist (Directeur de Recherches 1)
Dimitris Samaras
Stony Brook University
