Ferdia Sherry

According to our database, Ferdia Sherry authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Generalized Lie Symmetries in Physics-Informed Neural Operators.

Amy Xiang Wang, Zakhar Shumaylov, Peter Zaika, Ferdia Sherry, Carola-Bibiane Schönlieb

CoRR, February, 2025

Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling.

Naïl Khelifa, Carola-Bibiane Schönlieb, Ferdia Sherry

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.

Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Symplectic Neural Flows for Modeling and Discovery.

Priscilla Canizares, Davide Murari, Carola-Bibiane Schönlieb, Ferdia Sherry, Zakhar Shumaylov

CoRR, 2024

Benchmarking learned algorithms for computed tomography image reconstruction tasks.

Maximilian B. Kiss, Ander Biguri, Zakhar Shumaylov, Ferdia Sherry, Kees Joost Batenburg, Carola-Bibiane Schönlieb, Felix Lucka

CoRR, 2024

Hamiltonian Matching for Symplectic Neural Integrators.

Priscilla Canizares, Davide Murari, Carola-Bibiane Schönlieb, Ferdia Sherry, Zakhar Shumaylov

CoRR, 2024

Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach.

Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Dynamical Systems-Based Neural Networks.

Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry

SIAM J. Sci. Comput., June, 2023

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.

Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella

IEEE Signal Process. Mag., 2023

Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks.

Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb

CoRR, 2023

Convergent regularization in inverse problems and linear plug-and-play denoisers.

Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry

CoRR, 2023

Designing Stable Neural Networks using Convex Analysis and ODEs.

Ferdia Sherry, Elena Celledoni, Matthias J. Ehrhardt, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb

CoRR, 2023

2022

Imaging with Equivariant Deep Learning.

Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella

CoRR, 2022

2021

Equivariant neural networks for inverse problems.

Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry

CoRR, 2021

2020

Learning the Sampling Pattern for MRI.

Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias Joachim Ehrhardt

IEEE Trans. Medical Imaging, 2020

Structure preserving deep learning.

Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I. McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry

CoRR, 2020