Amil Dravid
Scholar

Amil Dravid

Google Scholar ID: YZ8Y-sUAAAAJ
UC Berkeley
Deep LearningMachine LearningArtificial IntelligenceComputer Vision
Citations & Impact
All-time
Citations
346
 
H-index
7
 
i10-index
7
 
Publications
13
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Co-first authored paper 'Vision Transformers Don't Need Trained Registers' accepted as a Spotlight (top 3%) at NeurIPS 2025
  • Published 'Interpreting the Weight Space of Customized Diffusion Models' at NeurIPS 2024
  • Published 'Idempotent Generative Network' at ICLR 2024
  • Co-first authored 'Rosetta Neurons: Mining the Common Units in a Model Zoo' at ICCV 2023
  • Co-organized the 'Mechanistic Interpretability for Vision Workshop' at CVPR in June 2025