Ferdia Sherry

22 papers A* 1A 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Convergent Regularization in Inverse Problems and Linear Plug-and-Play Denoisers.
Found. Comput. Math.
Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry
2025 — conf
Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling.
SSVM (1)
Naïl Khelifa, Carola-Bibiane Schönlieb, Ferdia Sherry
2025 J jnl
Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling.
CoRR
Naïl Khelifa, Ferdia Sherry, Carola-Bibiane Schönlieb
2025 J jnl
Generalized Lie Symmetries in Physics-Informed Neural Operators.
CoRR
Amy Xiang Wang, Zakhar Shumaylov, Peter Zaika, Ferdia Sherry, Carola-Bibiane Schönlieb
2025 A* conf
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.
ICLR
Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb
2025 J jnl
Stable neural networks and connections to continuous dynamical systems.
CoRR
Matthias J. Ehrhardt, Davide Murari, Ferdia Sherry
2024 J jnl
Benchmarking learned algorithms for computed tomography image reconstruction tasks.
CoRR
Maximilian B. Kiss, Ander Biguri, Zakhar Shumaylov, Ferdia Sherry, Kees Joost Batenburg, Carola-Bibiane Schönlieb, Felix Lucka
2024 J jnl
Hamiltonian Matching for Symplectic Neural Integrators.
CoRR
Priscilla Canizares, Davide Murari, Carola-Bibiane Schönlieb, Ferdia Sherry, Zakhar Shumaylov
2024 J jnl
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.
CoRR
Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb
2024 A conf
Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach.
ECAI
Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb
2024 J jnl
Symplectic Neural Flows for Modeling and Discovery.
CoRR
Priscilla Canizares, Davide Murari, Carola-Bibiane Schönlieb, Ferdia Sherry, Zakhar Shumaylov
2023 J jnl
Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks.
CoRR
Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb
2023 J jnl
Convergent regularization in inverse problems and linear plug-and-play denoisers.
CoRR
Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry
2023 J jnl
Designing Stable Neural Networks using Convex Analysis and ODEs.
CoRR
Ferdia Sherry, Elena Celledoni, Matthias J. Ehrhardt, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb
2023 J jnl
Dynamical Systems-Based Neural Networks.
SIAM J. Sci. Comput.
Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
2023 J jnl
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.
IEEE Signal Process. Mag.
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
2022 J jnl
Dynamical systems' based neural networks.
CoRR
Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
2022 J jnl
Imaging with Equivariant Deep Learning.
CoRR
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
2021 J jnl
Equivariant neural networks for inverse problems.
CoRR
Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
2020 J jnl
Learning the Sampling Pattern for MRI.
IEEE Trans. Medical Imaging
Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias Joachim Ehrhardt
2020 J jnl
Structure preserving deep learning.
CoRR
Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I. McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
2019 J jnl
Learning the Sampling Pattern for MRI.
CoRR
Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt