Department of Computer Engineering · Sharif University of Technology
Machine Learning Laboratory (MLL)
Building machine learning systems that understand, reason, and generalize.
- Members
- 13
- Publications
- 40
- Alumni
- 36
About the lab
Welcome to MLL
The Machine Learning Lab (MLL), directed by Dr. Mahdieh Soleymani, is a research group at Sharif University of Technology. We investigate fundamental and applied questions across modern machine learning, from robust generalization to compositional intelligence.
- Generalization: learning systems that remain reliable beyond their training distributions.
- Compositional Learning: understanding and combining concepts, attributes, and relations.
- Multimodal Intelligence: studying vision-language models, LVLMs, and reinforcement learning agents.
- Generative Models: improving control, faithfulness, and reasoning in generative systems.
What we work on
Research Areas
Out-of-Distribution Generalization
Building models that generalize beyond training distributions.
Explore 02Large Vision-Language Models
Compositional understanding and visual reasoning.
Explore 03Interpretability
Tracing and explaining computations inside modern models.
Explore 04Large Language Models
Reasoning, agency, safety, and scientific discovery.
Explore 05Compositional Text-to-Image Generation
Faithfully composing objects, attributes, and relations.
ExploreLatest
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Interested in joining MLL?
We are always looking for motivated students and researchers.