Ruchika Chavhan
Scholar

Ruchika Chavhan

Google Scholar ID: vWDTlWoAAAAJ
PhD student, University of Edinburgh
Generative ModelsDiffusion ModelsRepresentation Learning
Citations & Impact
All-time
Citations
154
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
29
list available
Resume (English only)
Academic Achievements
  • Published multiple papers including 'Localizing Memorization in Diffusion Models' (preprint June 2024), 'Adversarial Attacks on Vision-Language Models' (accepted to ICML 2023), 'Quality Diversity for Visual Pre-Training' (accepted in ICCV 2023), 'Meta-Omnium' (accepted in CVPR 2023), 'Amortising Invariances for Contrastive Learning' (accepted in ICLR 2023); Presented research at international conferences such as WACV 2021, ICPR 2021.
Research Experience
  • Summer intern at Sony Corporation, Tokyo, working on real-time image compression using deep learning techniques; Started an internship at Amazon in Berlin, Germany in September 2023.
Education
  • PhD student at the School of Informatics, University of Edinburgh, supervised by Prof. Timothy Hospedales and Dr. Da Li; Bachelor's degree in Engineering Physics from Indian Institute of Technology, advised by Prof. Biplab Banerjee and Prof. Subhasis Chaudhuri.
Background
  • Research interests revolve around Generative AI, Diffusion Models, Multi-modal Learning, Foundation models, Computer Vision, Natural Language Processing, Meta-Learning, and Representation Learning.
Miscellany
  • Looking for Postdoc/Research Scientist positions; Received full scholarship to attend the Machine Learning Summer School on Applications in Science in Krakow, Poland in May 2023; Graduated from Indian Institute of Technology, Bombay with a bachelor's degree in May 2021; Awarded Technical Freshman of the Year at IIT Bombay in May 2018.