Scholar
Kushagra Pandey
Google Scholar ID: Vzcz2WwAAAAJ
PhD Student, University of California, Irvine
Citations & Impact
Citations
338
H-index
7
i10-index
7
Publications
11
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Contributed to several research projects on designing efficient integrators for diffusion generative models, accelerating inverse problem solving using diffusion models, and heavy-tailed diffusion models, which have been accepted or will be presented at ICLR'24 and NeurIPS'24.
Research Experience
- Recently completed a summer internship at the GenAIR group at NVIDIA, working with Arash Vahdat and Morteza Mardani.
Education
- Pursuing a PhD in Computer Science from the University of California, Irvine, advised by Stephan Mandt; previously, was a graduate student in Computer Science at the Indian Institute of Technology, Kanpur, advised by Piyush Rai, and collaborated with Abhishek Kumar and Hamim Zafar.
Background
- Currently a third-year PhD student in Computer Science at the University of California, Irvine. Broadly interested in the study of Deep Generative Models, with a primary focus on the theory and applications of iterative refinement models (diffusion/interpolants/flow matching models) for diverse practical and scientific applications.
