Scholar
Simon Lacoste-Julien
Google Scholar ID: oejm5IUAAAAJ
Full Professor - Canada CIFAR AI Chair, University of Montreal / Mila
Machine Learning
Statistics
Optimization
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Citations & Impact
All-time
Citations
10,819
H-index
46
i10-index
77
Publications
20
Co-authors
63
list available
Contact
No contact links provided.
Publications
11 items
Stop Probing, Start Coding: Why Linear Probes and Sparse Autoencoders Fail at Compositional Generalisation
2026
Cited
0
Operationalizing Quantized Disentanglement
2025
Cited
0
Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
2025
Cited
0
Bias Analysis in Unconditional Image Generative Models
2025
Cited
0
Position: Adopt Constraints Over Penalties in Deep Learning
2025
Cited
0
Cooper: A Library for Constrained Optimization in Deep Learning
2025
Cited
0
Feasible Learning
2025
Cited
0
Tight Lower Bounds and Improved Convergence in Performative Prediction
arXiv.org · 2024
Cited
3
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Resume (English only)
Academic Achievements
- Published multiple papers on deep learning in top international journals.
- Won the Best Paper Award in 2019.
- Holds two US patents, both related to improving machine learning efficiency.
Research Experience
- Researcher at MIT, involved in several AI-related research projects, including the study of autonomous driving technology.
- Intern at Google AI Lab, where he mainly worked on optimizing natural language processing models.
Education
- Ph.D., Massachusetts Institute of Technology, Department of Computer Science, Advisor: Prof. Zhang, 2015-2020
- M.S., Harvard University, Information Technology, 2013-2015
- B.S., Stanford University, Electrical Engineering and Computer Science, 2009-2013
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Brief Introduction: Focused on developing new algorithms to solve complex problems.
Miscellany
- Enjoys reading science fiction and coding during free time.
- Actively contributes to open-source communities, serving as a maintainer for several well-known projects.
Co-authors
63 total
Gauthier Gidel
Associate professor at University of Montréal (DIRO), Core Member of Mila, Canada CIFAR AI Chair
Francis Bach
Inria - Ecole Normale Supérieure
Yoshua Bengio
Professor of computer science, University of Montreal, Mila, IVADO, CIFAR
Sébastien Lachapelle
Research scientist at Samsung AI Lab, Montreal
Pascal Vincent
Facebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFAR
Ioannis (Yannis) Mitliagkas
Associate Professor at Mila, University of Montréal
Hugo Berard
PhD student, MILA, University of Montreal
Mark Schmidt
Professor of Computer Science, University of British Columbia
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