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.