I am a PhD student under supervision of Professor Carola Schönlieb at the Cambridge Image Analysis Group within DAMTP. I am also a member of the Cantab Capital Institute for the Mathematics of Information and the Maths4DL programme.
I am generally interested in applied mathematics, specifically problems arising at the intersection of optimization, deep learning, geometry, and inverse problems.
Publications
Correction to: AI models collapse when trained on recursively generated data (Nature, (2024), 631, 8022, (755-759), 10.1038/s41586-024-07566-y)
– Nature
(2025)
640,
E6
(doi: 10.1038/s41586-025-08905-3)
LIE ALGEBRA CANONICALIZATION: EQUIVARIANT NEURAL OPERATORS UNDER ARBITRARY LIE GROUPS
– 13th International Conference on Learning Representations Iclr 2025
(2025)
13401
Lie Algebra Canonicalization: Equivariant Neural Operators under
arbitrary Lie Groups
(2024)
AI models collapse when trained on recursively generated data.
– Nature
(2024)
631,
755
(doi: 10.1038/s41586-024-07566-y)
Quantum initial conditions for curved inflating universes
– Physical Review D
(2024)
109,
123502
(doi: 10.1103/physrevd.109.123502)
Data-Driven Convex Regularizers for Inverse Problems
– ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
(2024)
00,
13386
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical
Points and Primal-Dual Optimisation
(2024)
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
– Proceedings of Machine Learning Research
(2024)
235,
45286
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