Learning the sampling pattern for MRI F Sherry, M Benning, JC De los Reyes, MJ Graves, G Maierhofer, ... IEEE Transactions on Medical Imaging 39 (12), 4310-4321, 2020 | 74 | 2020 |
Structure-preserving deep learning E Celledoni, MJ Ehrhardt, C Etmann, RI McLachlan, B Owren, ... European journal of applied mathematics 32 (5), 888-936, 2021 | 48 | 2021 |
Equivariant neural networks for inverse problems E Celledoni, MJ Ehrhardt, C Etmann, B Owren, CB Schönlieb, F Sherry Inverse Problems 37 (8), 085006, 2021 | 27 | 2021 |
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning D Chen, M Davies, MJ Ehrhardt, CB Schönlieb, F Sherry, J Tachella IEEE Signal Processing Magazine 40 (1), 134-147, 2023 | 20 | 2023 |
Convergent regularization in inverse problems and linear plug-and-play denoisers A Hauptmann, S Mukherjee, CB Schönlieb, F Sherry Foundations of Computational Mathematics, 1-34, 2024 | 6 | 2024 |
Dynamical systems–based neural networks E Celledoni, D Murari, B Owren, CB Schönlieb, F Sherry SIAM Journal on Scientific Computing 45 (6), A3071-A3094, 2023 | 5 | 2023 |
Designing stable neural networks using convex analysis and ODEs F Sherry, E Celledoni, MJ Ehrhardt, D Murari, B Owren, CB Schönlieb Physica D: Nonlinear Phenomena, 134159, 2024 | 4 | 2024 |
Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks M Eliasof, D Murari, F Sherry, CB Schönlieb arXiv preprint arXiv:2311.06942, 2023 | | 2023 |
Structure-preserving machine learning for inverse problems F Sherry | | 2022 |
Structure preserving neural networks based on ODEs D Murari, E Celledoni, BR Owren, F Sherry, CB Schönlieb NeurIPS 2022 Workshop DLDE, 2022 | | 2022 |