Hi, I’m Oscar Davis, a second year PhD student in Machine Learning at the University of Oxford, supervised by Prof Michael Bronstein, Dr İsmail Ceylan, and Dr Joey Bose. My funding is generously provided by both Project CETI and Intel.

My work primarily focuses on generative AI methods; I am particularly interested in developing mathematically-grounded and novel methods.

From November 2023 until February 2024, I interned with Microsoft Research Cambridge, where I worked on diffusion models, stable diffusion, and briefly neural ODEs. We did some internal theoretical work on these, analysing their SDEs and ODEs. (Patent coming soon!)

I hold a BSc in Computer Science from EPFL with an exchange year at Imperial College London, and an MSc in Advanced Computer Science from the University of Oxford. I was also awarded the Tony Hoare Prize for the best MSc thesis of the year, Information Theoretic Perspectives on Graph Neural Networks.

Publications

Fisher Flow Matching for Generative Modeling over Discrete Data

• Davis, O., Kessler, S., Petrache, M., Ceylan, İ., Bronstein, M., Bose, AJ.
• NeurIPS 2024. Preprint at: https://arxiv.org/abs/2405.14664.