Structure preserving deep learning. - Elena Celledoni; Matthias J. Ehrhardt; Christian Etmann; Robert I. McLachlan; Brynjulf Owren; Carola-Bibiane Schönlieb; Ferdia Sherry (CoRR, 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)

Equivariant neural networks for inverse problems. - Elena Celledoni; Matthias J. Ehrhardt; Christian Etmann; Brynjulf Owren; Carola-Bibiane Schönlieb; Ferdia Sherry (CoRR, 2021)

Imaging with Equivariant Deep Learning. - Dongdong Chen 004; Mike E. Davies 001; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb; Ferdia Sherry; Julián Tachella (CoRR, 2022)

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)

Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks. - Moshe Eliasof; Davide Murari; Ferdia Sherry; Carola-Bibiane Schönlieb (CoRR, 2023)

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. - Dongdong Chen 004; Mike E. Davies 001; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb; Ferdia Sherry; Julián Tachella (IEEE Signal Process. Mag., 2023)

Dynamical Systems-Based Neural Networks. - Elena Celledoni; Davide Murari; Brynjulf Owren; Carola-Bibiane Schönlieb; Ferdia Sherry (SIAM J. Sci. Comput., 2023)

Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach. - Moshe Eliasof; Davide Murari; Ferdia Sherry; Carola-Bibiane Schönlieb (ECAI, 2024)

Hamiltonian Matching for Symplectic Neural Integrators. - 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)

Symplectic Neural Flows for Modeling and Discovery. - Priscilla Canizares; Davide Murari; Carola-Bibiane Schönlieb; Ferdia Sherry; Zakhar Shumaylov (CoRR, 2024)

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups. - Zakhar Shumaylov; Peter Zaika; James Rowbottom; Ferdia Sherry; Melanie Weber 001; Carola-Bibiane Schönlieb (ICLR, 2025)

Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling. - Naïl Khelifa; Carola-Bibiane Schönlieb; Ferdia Sherry (SSVM (1), 2025)

Generalized Lie Symmetries in Physics-Informed Neural Operators. - Amy Xiang Wang; Zakhar Shumaylov; Peter Zaika; Ferdia Sherry; Carola-Bibiane Schönlieb (CoRR, 2025)

Convergent Regularization in Inverse Problems and Linear Plug-and-Play Denoisers. - Andreas Hauptmann; Subhadip Mukherjee; Carola-Bibiane Schönlieb; Ferdia Sherry (Found. Comput. Math., 2025)