Research

I am interested in the area of representation learning. More recently, I have developed an interest in diffusion models (subjects include alignment, test-time scaling, controlled generation).

Please refer to my Google Scholar profile for details on the publications I have been a part of.

Conference tutorials

Invited talks, demos, etc.

  • SoTA Diffusion Models with 🧨 diffusers (slides and recording)
    • IBM Research (October 17, 2023)
    • The Dyson Robotics Lab, Imperial College London
    • Department of Statistics, University of Oxford
  • 🧨 diffusers for research at VAL, Indian Institute of Science (IISc), June 12, 2023. Slides are here.
  • Controlling Text-to-Image Diffusion Models: Assorted Approaches
  • Demo of 🧨 diffusers at ICCV 2023 (Tweet).
  • A talk on diffusion models, ETH Zurich (May 06, 2024). Slides are here.
  • Transformers in Diffusion Models for Image Generation and Beyond, CS25 v5, Stanford (May 27, 2025). Slides are here.

For regular talks, refer here.

Teaching assistance

Served as a TA for Full Stack Deep Learning’s 2022 cohort.

Reviewing

Misc