I'm a PhD student in Computer Science at the University of Toronto, supervised by Babak Taati.
I am also a Faculty Affiliate Researcher at the Vector Institute and currently a Research Intern at Samsung AI Center Toronto.
My research focuses on generative modeling, particularly diffusion and flow-matching models, and developing methods for inference-time scaling and guidance to improve generation quality and controllability.
- Generative Models (Diffusion & Flow Matching)
- Image / Video / 3D Generation
- Inference-Time Scaling
- Guidance and Sampling Methods
- Optimization for Generative Models
- Machine Learning & Computer Vision
- Personal Website: https://www.cs.toronto.edu/~rajabi/
- Google Scholar: https://scholar.google.com/citations?hl=en&user=nJAyYVYAAAAJ
- Twitter: https://twitter.com/rajabi2001
- GitHub: https://github.com/rajabi2001
- LinkedIn: https://www.linkedin.com/in/rajabi2001/
📫 Email: mj.rajabi2001@gmail.com
⭐ If you find my work interesting, feel free to explore my repositories!