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Matthias J. Ehrhardt
Matthias J. Ehrhardt
Mathematical Sciences, University of Bath
Verified email at bath.ac.uk - Homepage
Title
Cited by
Year
Proximal Langevin sampling with inexact proximal mapping
MJ Ehrhardt, L Kuger, CB Schönlieb
SIAM Journal on Imaging Sciences 17 (3), 1729-1760, 2024
32024
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 463, 134159, 2024
42024
A geometric integration approach to smooth optimization: foundations of the discrete gradient method
MJ Ehrhardt, ES Riis, T Ringholm, CB Schönlieb
IMA Journal of Numerical Analysis, drae037, 2024
22*2024
A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
MJ Ehrhardt, Z Kereta, J Liang, J Tang
arXiv preprint arXiv:2406.06342, 2024
2024
Enhancing Dynamic CT Image Reconstruction with Neural Fields Through Explicit Motion Regularizers
P Arratia, M Ehrhardt, L Kreusser
arXiv preprint arXiv:2406.01299, 2024
2024
Learning Preconditioners for Inverse Problems
MJ Ehrhardt, P Fahy, M Golbabaee
arXiv preprint arXiv:2406.00260, 2024
12024
Stochastic Primal–Dual Hybrid Gradient Algorithm with Adaptive Step Sizes
A Chambolle, C Delplancke, MJ Ehrhardt, CB Schönlieb, J Tang
Journal of Mathematical Imaging and Vision 66 (3), 294-313, 2024
72024
Coupling Analysis of the Asymptotic Behaviour of a Primal-Dual Langevin Algorithm
M Burger, MJ Ehrhardt, L Kuger, L Weigand
arXiv preprint arXiv:2405.18098, 2024
2024
Editorial Forward to the Special Issue on “The Applied Mathematics of Machine Learning”
D Lesnic, MJ Ehrhardt
IMA Journal of Applied Mathematics, 2024
2024
Practical Acceleration of the Condat-V\~ u Algorithm
D Driggs, MJ Ehrhardt, CB Schönlieb, J Tang
arXiv preprint arXiv:2403.17100, 2024
2024
Uncertainty quantification in CT pulmonary angiography
AM Rambojun, H Komber, J Rossdale, J Suntharalingam, JCL Rodrigues, ...
PNAS Nexus, pgad404, 2024
12024
Analyzing inexact hypergradients for bilevel learning
MJ Ehrhardt, L Roberts
IMA Journal of Applied Mathematics 89 (1), 254-278, 2024
42024
Regularising inverse problems with generative machine learning models
MAG Duff, NDF Campbell, MJ Ehrhardt
Journal of Mathematical Imaging and Vision 66 (1), 37-56, 2024
272024
Dynamic Bilevel Learning with Inexact Line Search
MS Salehi, S Mukherjee, L Roberts, MJ Ehrhardt
arXiv preprint arXiv:2308.10098, 2023
12023
VAEs with structured image covariance applied to compressed sensing MRI
MAG Duff, IJA Simpson, MJ Ehrhardt, NDF Campbell
Physics in Medicine & Biology 68 (16), 165008, 2023
7*2023
Multiresolution image domain sketching for inverse imaging problems
A Perelli, CB Schönlieb, M Ehrhardt
SIAM Conference on Optimization (OP23): MS181 Optimization for Image …, 2023
2023
Multi‐Dimensional Characterization of Battery Materials
RF Ziesche, TMM Heenan, P Kumari, J Williams, W Li, ME Curd, ...
Advanced Energy Materials 13 (23), 2300103, 2023
162023
On Optimal Regularization Parameters via Bilevel Learning
MJ Ehrhardt, S Gazzola, SJ Scott
arXiv preprint arXiv:2305.18394, 2023
22023
Multi-modality imaging with structure-promoting regularizers
MJ Ehrhardt
Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2023
142023
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
212023
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