Matthias J. Ehrhardt

Orcid: 0000-0001-8523-353X

Affiliations:
  • 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 42 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes.
J. Math. Imaging Vis., June, 2024

Regularising Inverse Problems with Generative Machine Learning Models.
J. Math. Imaging Vis., January, 2024

Proximal Langevin Sampling with Inexact Proximal Mapping.
SIAM J. Imaging Sci., 2024

Practical Acceleration of the Condat-Vũ Algorithm.
SIAM J. Imaging Sci., 2024

A Primal-dual algorithm for image reconstruction with ICNNs.
CoRR, 2024

A Guide to Stochastic Optimisation for Large-Scale Inverse Problems.
CoRR, 2024

Enhancing Dynamic CT Image Reconstruction with Neural Fields Through Explicit Motion Regularizers.
CoRR, 2024

Learning Preconditioners for Inverse Problems.
CoRR, 2024

2023
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.
IEEE Signal Process. Mag., 2023

Dynamic Bilevel Learning with Inexact Line Search.
CoRR, 2023

Designing Stable Neural Networks using Convex Analysis and ODEs.
CoRR, 2023

On Optimal Regularization Parameters via Bilevel Learning.
CoRR, 2023

Analyzing Inexact Hypergradients for Bilevel Learning.
CoRR, 2023

2022
Accelerating variance-reduced stochastic gradient methods.
Math. Program., 2022

A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation.
Found. Comput. Math., 2022

Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance.
CoRR, 2022

Imaging with Equivariant Deep Learning.
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
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework.
SIAM J. Imaging Sci., 2021

Inexact Derivative-Free Optimization for Bilevel Learning.
J. Math. Imaging Vis., 2021

Equivariant neural networks for inverse problems.
CoRR, 2021

Synergistic Multi-spectral CT Reconstruction with Directional Total Variation.
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
Learning the Sampling Pattern for MRI.
IEEE Trans. Medical Imaging, 2020

SIRF: Synergistic Image Reconstruction Framework.
Comput. Phys. Commun., 2020

On the Convergence of the Stochastic Primal-Dual Hybrid Gradient for Convex Optimization.
CoRR, 2020

Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization.
CoRR, 2020

Multi-modality imaging with structure-promoting regularisers.
CoRR, 2020

Structure preserving deep learning.
CoRR, 2020

Robust Image Reconstruction With Misaligned Structural Information.
IEEE Access, 2020

2019
Deep learning as optimal control problems: models and numerical methods.
CoRR, 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
Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation.
CoRR, 2017

2016
PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets.
IEEE Trans. Medical Imaging, 2016

Multicontrast MRI Reconstruction with Structure-Guided Total Variation.
SIAM J. Imaging Sci., 2016

2015
Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation.
CoRR, 2015

2014
Vector-Valued Image Processing by Parallel Level Sets.
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


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