Matthias J. Ehrhardt
Orcid: 0000-0001-8523-353XAffiliations:
- University of Bath, Institute for Mathematical Innovation, UK
- University of Cambridge, Department of Applied Mathematics and Theoretical Physics, UK
- University College London, Centre for Medical Image Computing, UK (PhD)
- University of Bremen, Center for Industrial Mathematics, Germany
According to our database1,
Matthias J. Ehrhardt
authored at least 50 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
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Online presence:
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on zbmath.org
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2025
J. Math. Imaging Vis., August, 2025
Randomized Primal-Dual Algorithm with Arbitrary Sampling: Convergence Theory and Applications to Parallel MRI.
J. Math. Imaging Vis., June, 2025
An Adaptively Inexact First-Order Method for Bilevel Optimization with Application to Hyperparameter Learning.
SIAM J. Math. Data Sci., 2025
Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025
2024
J. Math. Imaging Vis., June, 2024
J. Math. Imaging Vis., January, 2024
Efficient gradient-based methods for bilevel learning via recycling Krylov subspaces.
CoRR, 2024
An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation.
CoRR, 2024
Enhancing Dynamic CT Image Reconstruction with Neural Fields Through Explicit Motion Regularizers.
CoRR, 2024
2023
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.
IEEE Signal Process. Mag., 2023
2022
Found. Comput. Math., 2022
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance.
CoRR, 2022
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning.
CoRR, 2022
On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction.
CoRR, 2022
2021
SIAM J. Imaging Sci., 2021
J. Math. Imaging Vis., 2021
CoRR, 2021
Convergence Properties of a Randomized Primal-Dual Algorithm with Applications to Parallel MRI.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
2020
On the Convergence of the Stochastic Primal-Dual Hybrid Gradient for Convex Optimization.
CoRR, 2020
CoRR, 2020
IEEE Access, 2020
2019
2018
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning.
IEEE Trans. Medical Imaging, 2018
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications.
SIAM J. Optim., 2018
NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis.
Neuroinformatics, 2018
Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning.
CoRR, 2018
2017
CoRR, 2017
2016
IEEE Trans. Medical Imaging, 2016
SIAM J. Imaging Sci., 2016
2015
2014
IEEE Trans. Image Process., 2014
2012
Evaluation of decomposition tools for sea floor pressure data: A practical comparison of modern and classical approaches.
Comput. Geosci., 2012