Prior to this, I had the opportunity to spend six months at Technical University of Munich (TUM) as a visiting student researcher under the guidance of Prof. Debarghya Ghoshdastidar, supported by the DAAD-KOSPIE programme. I also did a research internship under Prof. Apurva Narayan at The University of British Columbia (UBC), funded through MITACS Globalink.
I graduated with a Dual Degree (B.Tech + M.Tech) in Electrical Engineering (with specialization in Data Science) from Indian Institute of Technology (IIT) Madras in 2024.
Publications & Preprints
Fine-Tuning Diffusion Models via Intermediate Distribution Shaping
, Shaan Ul Haque, Nithish Kannen, Dheeraj Nagraj, Sanjay Shakkottai and Karthikeyan Shanmugam
ICLR 2026
Also presented at ICML PUT Workshop 2025
PDF
Interleaved Gibbs Diffusion for Constrained Generation
, Sachin Yadav, Dheeraj Nagraj, Karthikeyan Shanmugam and Prateek Jain
Preprint
Also presented at ICLR DeLTA Workshop 2025
PDF
Webpage
Infinite Width Limits of Self Supervised Neural Networks
Maximilian Fleissner, and Debarghya Ghoshdastidar
AISTATS 2025
PDF
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
, Pascal Esser and Debarghya Ghoshdastidar
AAAI 2025
PDF
Generating Universal Adversarial Perturbations for Quantum Classifiers
, Vishnu Vinod* and Apurva Narayan
AAAI 2024
PDF
