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ORCIDMatthias J. Ehrhardt
Person information
- affiliation: University of Bath, Institute for Mathematical Innovation, UK
- affiliation: University of Cambridge, Department of Applied Mathematics and Theoretical Physics, UK
- affiliation (PhD): University College London, Centre for Medical Image Computing, UK
- affiliation: University of Bremen, Center for Industrial Mathematics, Germany
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2020 – today
- 2024
[j19]Margaret Duff
, Neill D. F. Campbell, Matthias J. Ehrhardt:
Regularising Inverse Problems with Generative Machine Learning Models. J. Math. Imaging Vis. 66(1): 37-56 (2024)- [j18]Antonin Chambolle, Claire Delplancke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. J. Math. Imaging Vis. 66(3): 294-313 (2024) - [j17]Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb:
Proximal Langevin Sampling with Inexact Proximal Mapping. SIAM J. Imaging Sci. 17(3): 1729-1760 (2024) - [j16]Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang:
Practical Acceleration of the Condat-Vũ Algorithm. SIAM J. Imaging Sci. 17(4): 2076-2109 (2024) - [i27]Matthias J. Ehrhardt, Patrick Fahy, Mohammad Golbabaee:
Learning Preconditioners for Inverse Problems. CoRR abs/2406.00260 (2024) - [i26]Pablo Arratia, Matthias J. Ehrhardt, Lisa Kreusser:
Enhancing Dynamic CT Image Reconstruction with Neural Fields Through Explicit Motion Regularizers. CoRR abs/2406.01299 (2024) - [i25]Matthias J. Ehrhardt, Zeljko Kereta, Jingwei Liang, Junqi Tang:
A Guide to Stochastic Optimisation for Large-Scale Inverse Problems. CoRR abs/2406.06342 (2024) - 2023
- [j15]Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40(1): 134-147 (2023) - [i24]Matthias J. Ehrhardt, Lindon Roberts:
Analyzing Inexact Hypergradients for Bilevel Learning. CoRR abs/2301.04764 (2023) - [i23]Matthias J. Ehrhardt, Silvia Gazzola, Sebastian James Scott:
On Optimal Regularization Parameters via Bilevel Learning. CoRR abs/2305.18394 (2023) - [i22]Ferdia Sherry, Elena Celledoni, Matthias J. Ehrhardt, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb:
Designing Stable Neural Networks using Convex Analysis and ODEs. CoRR abs/2306.17332 (2023) - [i21]Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb:
Proximal Langevin Sampling With Inexact Proximal Mapping. CoRR abs/2306.17737 (2023) - [i20]Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt:
Dynamic Bilevel Learning with Inexact Line Search. CoRR abs/2308.10098 (2023) - 2022
- [j14]Erlend Skaldehaug Riis, Matthias J. Ehrhardt, G. R. W. Quispel, Carola-Bibiane Schönlieb:
A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation. Found. Comput. Math. 22(5): 1351-1394 (2022) - [j13]Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Accelerating variance-reduced stochastic gradient methods. Math. Program. 191(2): 671-715 (2022) - [i19]Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt:
On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction. CoRR abs/2207.12291 (2022) - [i18]Junqi Tang, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning. CoRR abs/2208.01631 (2022) - [i17]Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging with Equivariant Deep Learning. CoRR abs/2209.01725 (2022) - [i16]Margaret Duff, Ivor J. A. Simpson, Matthias J. Ehrhardt, Neill D. F. Campbell:
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance. CoRR abs/2210.14586 (2022) - 2021
- [j12]Matthias J. Ehrhardt, Lindon Roberts:
Inexact Derivative-Free Optimization for Bilevel Learning. J. Math. Imaging Vis. 63(5): 580-600 (2021) - [j11]Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. SIAM J. Imaging Sci. 14(2): 814-843 (2021) - [c1]Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt:
Convergence Properties of a Randomized Primal-Dual Algorithm with Applications to Parallel MRI. SSVM 2021: 254-266 - [i15]Evelyn Cueva, Alexander Meaney, Samuli Siltanen, Matthias J. Ehrhardt:
Synergistic Multi-spectral CT Reconstruction with Directional Total Variation. CoRR abs/2101.01834 (2021) - [i14]Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Equivariant neural networks for inverse problems. CoRR abs/2102.11504 (2021) - [i13]Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt:
Regularising Inverse Problems with Generative Machine Learning Models. CoRR abs/2107.11191 (2021) - 2020
- [j10]Leon Bungert, Matthias J. Ehrhardt:
Robust Image Reconstruction With Misaligned Structural Information. IEEE Access 8: 222944-222955 (2020) - [j9]Evgueni Ovtchinnikov, Richard Brown, Christoph Kolbitsch, Edoardo Pasca, Casper O. da Costa-Luis, Ashley Gillman, Benjamin A. Thomas, Nikos Efthimiou, Johannes Mayer, Palak Wadhwa, Matthias J. Ehrhardt, Sam Ellis, Jakob Sauer Jørgensen, Julian C. Matthews, Claudia Prieto, Andrew J. Reader, Charalampos Tsoumpas, Martin J. Turner, Kris Thielemans:
SIRF: Synergistic Image Reconstruction Framework. Comput. Phys. Commun. 249: 107087 (2020) - [j8]Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias Joachim Ehrhardt:
Learning the Sampling Pattern for MRI. IEEE Trans. Medical Imaging 39(12): 4310-4321 (2020) - [i12]Leon Bungert, Matthias J. Ehrhardt:
Robust Image Reconstruction with Misaligned Structural Information. CoRR abs/2004.00589 (2020) - [i11]Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I. McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Structure preserving deep learning. CoRR abs/2006.03364 (2020) - [i10]Matthias J. Ehrhardt, Lindon Roberts:
Inexact Derivative-Free Optimization for Bilevel Learning. CoRR abs/2006.12674 (2020) - [i9]Matthias J. Ehrhardt:
Multi-modality imaging with structure-promoting regularisers. CoRR abs/2007.11689 (2020) - [i8]Matthias J. Ehrhardt, Lindon Roberts:
Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization. CoRR abs/2011.03151 (2020) - [i7]Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt:
On the Convergence of the Stochastic Primal-Dual Hybrid Gradient for Convex Optimization. CoRR abs/2012.01255 (2020)
2010 – 2019
- 2019
- [i6]Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb:
Deep learning as optimal control problems: models and numerical methods. CoRR abs/1904.05657 (2019) - [i5]Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt:
Learning the Sampling Pattern for MRI. CoRR abs/1906.08754 (2019) - 2018
- [j7]Pawel J. Markiewicz, Matthias J. Ehrhardt, Kjell Erlandsson, Philip J. Noonan, Anna Barnes, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin:
NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis. Neuroinformatics 16(1): 95-115 (2018) - [j6]Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. SIAM J. Optim. 28(4): 2783-2808 (2018) - [j5]Yu-Jung Tsai, Alexandre Bousse, Matthias J. Ehrhardt, Charles W. Stearns, Sangtae Ahn, Brian F. Hutton, Simon R. Arridge, Kris Thielemans:
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. IEEE Trans. Medical Imaging 37(4): 1000-1010 (2018) - [i4]Matthias J. Ehrhardt, Pawel Markiewicz, Carola-Bibiane Schönlieb:
Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning. CoRR abs/1808.07150 (2018) - 2017
- [i3]Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. CoRR abs/1706.04957 (2017) - [i2]Leon Bungert, David A. Coomes, Matthias J. Ehrhardt, Jennifer Rasch, Rafael Reisenhofer, Carola-Bibiane Schönlieb:
Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. CoRR abs/1710.05705 (2017) - 2016
- [j4]Matthias J. Ehrhardt, Marta M. Betcke:
Multicontrast MRI Reconstruction with Structure-Guided Total Variation. SIAM J. Imaging Sci. 9(3): 1084-1106 (2016) - [j3]Matthias J. Ehrhardt, Pawel Markiewicz, Maria Liljeroth, Anna Barnes, Ville Kolehmainen, John S. Duncan, Luis Pizarro, David Atkinson, Brian F. Hutton, Sébastien Ourselin, Kris Thielemans, Simon R. Arridge:
PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets. IEEE Trans. Medical Imaging 35(9): 2189-2199 (2016) - 2015
- [i1]Matthias J. Ehrhardt, Marta M. Betcke:
Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation. CoRR abs/1511.06631 (2015) - 2014
- [j2]Matthias Joachim Ehrhardt, Simon R. Arridge:
Vector-Valued Image Processing by Parallel Level Sets. IEEE Trans. Image Process. 23(1): 9-18 (2014) - 2012
- [j1]Matthias Joachim Ehrhardt, H. Villinger, S. Schiffler:
Evaluation of decomposition tools for sea floor pressure data: A practical comparison of modern and classical approaches. Comput. Geosci. 45: 4-12 (2012)
Coauthor Index
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