- 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.