Scholar
Setareh Cohan
Google Scholar ID: P73-vsoAAAAJ
PhD student, University of British Columbia
Citations & Impact
Citations
103
H-index
4
i10-index
2
Publications
6
Co-authors
8
list available
Resume
Academic Achievements
- Published several papers in conferences such as ICLR 2025, ICML 2024, SIGGRAPH 2024, and NeurIPS 2022.
Research Experience
- Research Intern at Borealis AI, investigated the advantages of integrating probabilistic prediction and selective prediction (or prediction with reject option) for regression tasks; served as a Teaching Assistant for multiple courses.
Education
- 2020 - Present: Ph.D. in Computer Science at the University of British Columbia, Supervisor: Michiel van de Panne; 2017 - 2019: M.Sc. in Computer Science at the University of British Columbia, Supervisors: Jim Little, Leonid Sigal; 2012 - 2017: B.Sc. in Computer Engineering at Sharif University of Technology.
Background
- Research interests include learning-based control methods such as reinforcement learning and generative models. The goal is to study machine learning for efficient decision making.
Miscellany
- Involved in multiple projects, including research on using diffusion models for motion synthesis; also participated in course projects on visual question answering, regularizing deep networks, active learning, and more.
