Vivek Ramanujan
Scholar

Vivek Ramanujan

Google Scholar ID: yXFPyNMAAAAJ
University of Washington
Machine LearningOptimizationComputer Vision
Citations & Impact
All-time
Citations
2,346
 
H-index
12
 
i10-index
14
 
Publications
17
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - When Worse is Better: Navigating the Compression-Generation Tradeoff in Visual Tokenization
  • - From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos
  • - The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
  • - On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
  • - DataComp: In Search of the Next Generation of Multimodal Datasets
Research Experience
  • Worked as a predoctoral researcher at the Allen Institute for Artificial Intelligence, contributing to various research projects.
Education
  • PhD: University of Washington, Advisors: Ali Farhadi and Ludwig Schmidt; Predoctoral Researcher: Allen Institute for Artificial Intelligence, Advised by: Mohammad Rastegari and Aniruddha Kembhavi.
Background
  • Currently a PhD student at the University of Washington, working on problems related to robust machine learning. Previously, he was a predoctoral researcher on the PRIOR (vision) group at the Allen Institute for Artificial Intelligence (AI2).
Miscellany
  • Information about personal interests and hobbies not provided.
Co-authors
0 total
Co-authors: 0 (list not available)