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 fortunate to be a part of.

Conference tutorials

Invited talks, demos, etc.

Talk Venue Date Links
SoTA Diffusion Models with 🧨 diffusers IBM Research October 17, 2023 slides, recording
SoTA Diffusion Models with 🧨 diffusers The Dyson Robotics Lab, Imperial College London 2023 slides, recording
SoTA Diffusion Models with 🧨 diffusers Department of Statistics, University of Oxford 2023 slides, recording
🧨 diffusers for research VAL, Indian Institute of Science (IISc) June 12, 2023 slides
Controlling Text-to-Image Diffusion Models: Assorted Approaches BigMAC ICCV Workshop 2023 slides, recording
Controlling Text-to-Image Diffusion Models: Assorted Approaches UCL June 2024
Controlling Text-to-Image Diffusion Models: Assorted Approaches Texas A&M University Sept 2024 slides
Controlling Text-to-Image Diffusion Models: Assorted Approaches UC Berkeley October 2024 slides, recording
Controlling Text-to-Image Diffusion Models: Assorted Approaches ICDMAI’25 2025 slides
Demo of 🧨 diffusers ICCV 2023 2023 Tweet
A talk on diffusion models ETH Zurich May 06, 2024 slides
Transformers in Diffusion Models for Image Generation and Beyond CS25 v5, Stanford May 27, 2025 slides, recording
State of Open Video Generation Models Indian Institute of Science (IISc) Sept 17, 2025 slides
Optimizing the Full Stack for Generative Image and Video Models CBMM MIT Sept 22, 2025 slides, recording
Controllable Video Diffusion for Length 📹 LongVid Workshop (ICCV’25) Oct 20, 2025 slides

A little shoutout on the CS25 v5 Stanford talk from Sander Dieleman.

For regular talks, refer here.

Teaching assistance

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

Reviewing

Misc