I am a Ph.D. student at Stanford University, co-advised by Chris Ré and Kayvon Fatahalian. My broad interests include machine learning and computer graphics, and my recent work has focused on controllable diffusion models. Prior to my Ph.D, I received a B.S. in Computer Science at Stanford. In the past, I have worked with Pat Hanrahan on metropolis light transport and path guiding, with Stefano Ermon on applications of GANs to satellite images, and with Susan Athey on the dynamics of Bitcoin usage.


Collage Diffusion
Vishnu Sarukkai, Linden Li, Arden Ma, Chris Ré, and Kayvon Fatahalian. Winter Conference on Applications of Computer Vision (WACV), 2024.
[Paper] [Code] [Blog]

Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
Fait Poms*, Vishnu Sarukkai*, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, and Kayvon Fatahalian. International Conference on Computer Vision (ICCV), 2021, Oral Presentation.

Cloud Removal from Satellite Images using Spatiotemporal Generator Networks
Vishnu Sarukkai*, Anirudh Jain*, Burak Uzkent, and Stefano Ermon. Winter Conference on Applications of Computer Vision (WACV), 2020.
[Paper] [Code] [Dataset]

Bitcoin Pricing, Adoption, and Usage: Theory and Evidence
Susan Athey, Ivo Parashkevov, Vishnu Sarukkai, and Jing Xia. Arxiv, 2016.


Sketch-a-Sketch: Controlling diffusion-based image generation with just a few strokes
Vishnu Sarukkai, Chris Ré, and Kayvon Fatahalian

Forager: Rapid Data Exploration and Model Development
Fait Poms, Mihir Garimella, Vishnu Sarukkai, Ravi Teja Mullapudi, Jeremy Barenholtz, and Kayvon Fatahalian