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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

Convergent regularization in inverse problems and linear plug-and-play denoisers
A Hauptmann, S Mukherjee, C-B Schönlieb, F Sherry
(2023)
Designing Stable Neural Networks using Convex Analysis and ODEs
F Sherry, E Celledoni, MJ Ehrhardt, D Murari, B Owren, C-B Schönlieb
(2023)
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
D Chen, M Davies, MJ Ehrhardt, CB 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 transactions on medical imaging
(2020)
39,
4310

Research Group

Cambridge Image Analysis

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