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Department of Applied Mathematics and Theoretical Physics

 

Career

  • 2015-2016: Part III, focused on statistics and applied analysis
  • 2012-2015: Undergraduate degrees in mathematics and physics

Research

Ferdia is a member of the Department of Applied Mathematics and Theoretical Physics. His current research interests lie at the interface of applied analysis and statistics.

Publications

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
D Chen, M Davies, MJ Ehrhardt, C-B Schonlieb, F Sherry, J Tachella
– IEEE Signal Processing Magazine
(2023)
40,
134
Dynamical systems' based neural networks
E Celledoni, D Murari, B Owren, C-B Schönlieb, F Sherry
(2022)
Imaging with Equivariant Deep Learning
D Chen, M Davies, MJ Ehrhardt, C-B Schönlieb, F Sherry, J Tachella
(2022)
Equivariant neural networks for inverse problems
E Celledoni, MJ Ehrhardt, C Etmann, B Owren, C-B Schönlieb, F Sherry
– Inverse Probl
(2021)
37,
085006
Structure-preserving machine learning for inverse problems
F Sherry
(2021)
Structure-preserving deep learning
E Celledoni, MJ Ehrhardt, C Etmann, RI Mclachlan, B Owren, CB Schonlieb, F Sherry
– European Journal of Applied Mathematics
(2021)
32,
888
Learning the Sampling Pattern for MRI.
F Sherry, M Benning, JC De Los Reyes, MJ Graves, G Maierhofer, G Williams, C-B Schonlieb, MJ Ehrhardt
– IEEE Trans Med Imaging
(2020)
39,
4310

Research Group

Cambridge Image Analysis

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