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Adhi Saravanan
Ph.D. Candidate (StatML CDT), University of Oxford
adhithya.saravanan@stats.ox.ac.uk

Hey! I am a StatML PhD student at the University of Oxford, where I am fortunate to be advised by Yee Whye Teh and Tom Rainforth. I am broadly interested in generative modelling, particularly diffusion and flows, with a focus on efficient inference-time adaptation.

Previously, I completed my B.A. & M.Eng. in Information Engineering at the University of Cambridge, where I did my disseration with the MLG group. During my undergrad, I spent a summer at Caltech, advised by Anima Anandkumar.

Feel free to reach out if you’d like to collaborate or chat!

News

  • 26 Jan 2026 Scaling Bayesian Experimental Design using Information-Guided Diffusion Accepted to ICLR 2026!
  • 20 Jan 2026 Meta Flow Maps enable scalable reward alignment Preprint

Selected Works

Peter Potaptchik*, Adhithya Saravanan*, Abbas Mammadov, Alvaro Prat, Michael Albergo, Yee Whye Teh
Adhithya Saravanan, Rik Knowles, Gavin Kerrigan, Tom Rainforth
Locking Machine Learning Models into Hardware
2024 Secure and Trustworthy Machine Learning (SaTML)
Eleanor Clifford*, Adhithya Saravanan*, Harry Langford*, Cheng Zhang, Yiren Zhao, Robert Mullins, Ilia Shumailov, Jamie Hayes