Scholar
Salem Lahlou
Google Scholar ID: xLSkCrIAAAAJ
MBZUAI
Citations & Impact
Citations
1,606
H-index
9
i10-index
8
Publications
20
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Core contributor to Generative Flow Networks (GFlowNets); designed new techniques for crucial problems like uncertainty estimation (DEUP) and efficient curriculum learning; created the torchgfn library; co-led the development of benchmarks like BabyAI, FinChain, and LLM-BabyBench; gave multiple invited talks at international conferences.
Research Experience
- Currently an Assistant Professor at the Machine Learning department of MBZUAI; worked as a Senior Researcher at TII in 2024.
Education
- Obtained a PhD in 2023 from Mila and UdeM, under the supervision of Yoav Goldberg.
Background
- Research interests include LLM reasoning, GFlowNets, uncertainty estimation, reinforcement learning sample complexity, and more broadly, on designing better 'AI for science' tools.
Miscellany
- Driven by a deep interest in understanding and defining intelligence, whether it's in animals or artificial systems.
