Matthias J. Ehrhardt

60 papers Journal 57Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Generalized Second-Order Positivity-Preserving Numerical Method for Non-Autonomous Dynamical Systems with Applications. CoRR Manh Tuan Hoang, Matthias J. Ehrhardt
2025	J	`jnl`	An Adaptively Inexact First-Order Method for Bilevel Optimization with Application to Hyperparameter Learning. SIAM J. Math. Data Sci. Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2025	J	`jnl`	An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual-Style Differentiation. J. Math. Imaging Vis. Lea Bogensperger, Matthias J. Ehrhardt, Thomas Pock, Mohammad Sadegh Salehi, Hok Shing Wong
2025	J	`jnl`	Bilevel Learning via Inexact Stochastic Gradient Descent. CoRR Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2025	—	`conf`	Bilevel Learning with Inexact Stochastic Gradients. SSVM (1) Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2025	J	`jnl`	Enhancing Dynamic CT Image Reconstruction with Neural Fields and Optical Flow. J. Math. Imaging Vis. Pablo Arratia, Matthias J. Ehrhardt, Lisa Maria Kreusser
2025	J	`jnl`	Learning Regularization Functionals for Inverse Problems: A Comparative Study. CoRR Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer
2025	J	`jnl`	PET Rapid Image Reconstruction Challenge (PETRIC). CoRR Casper O. da Costa-Luis, Matthias J. Ehrhardt, Christoph Kolbitsch, Evgueni Ovtchinnikov, Edoardo Pasca, Kris Thielemans, Charalampos Tsoumpas
2025	J	`jnl`	Randomized Primal-Dual Algorithm with Arbitrary Sampling: Convergence Theory and Applications to Parallel MRI. J. Math. Imaging Vis. Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt
2025	J	`jnl`	Stable neural networks and connections to continuous dynamical systems. CoRR Matthias J. Ehrhardt, Davide Murari, Ferdia Sherry
2025	—	`conf`	Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising. SSVM (2) Junqi Tang, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
2024	J	`jnl`	A Guide to Stochastic Optimisation for Large-Scale Inverse Problems. CoRR Matthias J. Ehrhardt, Zeljko Kereta, Jingwei Liang, Junqi Tang
2024	J	`jnl`	A Primal-dual algorithm for image reconstruction with ICNNs. CoRR Hok Shing Wong, Matthias J. Ehrhardt, Subhadip Mukherjee
2024	J	`jnl`	An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation. CoRR Lea Bogensperger, Matthias J. Ehrhardt, Thomas Pock, Mohammad Sadegh Salehi, Hok Shing Wong
2024	J	`jnl`	Bilevel Learning with Inexact Stochastic Gradients. CoRR Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2024	J	`jnl`	Efficient gradient-based methods for bilevel learning via recycling Krylov subspaces. CoRR Matthias J. Ehrhardt, Silvia Gazzola, Sebastian James Scott
2024	J	`jnl`	Enhancing Dynamic CT Image Reconstruction with Neural Fields Through Explicit Motion Regularizers. CoRR Pablo Arratia, Matthias J. Ehrhardt, Lisa Maria Kreusser
2024	J	`jnl`	Learning Preconditioners for Inverse Problems. CoRR Matthias J. Ehrhardt, Patrick Fahy, Mohammad Golbabaee
2024	J	`jnl`	Practical Acceleration of the Condat-Vũ Algorithm. SIAM J. Imaging Sci. Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang
2024	J	`jnl`	Proximal Langevin Sampling with Inexact Proximal Mapping. SIAM J. Imaging Sci. Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb
2024	J	`jnl`	Regularising Inverse Problems with Generative Machine Learning Models. J. Math. Imaging Vis. Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
2024	J	`jnl`	Stochastic Multiresolution Image Sketching for Inverse Imaging Problems. CoRR Alessandro Perelli, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt
2024	J	`jnl`	Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. J. Math. Imaging Vis. Antonin Chambolle, Claire Delplancke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang
2023	J	`jnl`	Analyzing Inexact Hypergradients for Bilevel Learning. CoRR Matthias J. Ehrhardt, Lindon Roberts
2023	J	`jnl`	Designing Stable Neural Networks using Convex Analysis and ODEs. CoRR Ferdia Sherry, Elena Celledoni, Matthias J. Ehrhardt, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb
2023	J	`jnl`	Dynamic Bilevel Learning with Inexact Line Search. CoRR Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2023	J	`jnl`	Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
2023	J	`jnl`	On Optimal Regularization Parameters via Bilevel Learning. CoRR Matthias J. Ehrhardt, Silvia Gazzola, Sebastian James Scott
2023	J	`jnl`	Proximal Langevin Sampling With Inexact Proximal Mapping. CoRR Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb
2022	J	`jnl`	A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation. Found. Comput. Math. Erlend Skaldehaug Riis, Matthias J. Ehrhardt, G. R. W. Quispel, Carola-Bibiane Schönlieb
2022	J	`jnl`	Accelerating variance-reduced stochastic gradient methods. Math. Program. Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
2022	J	`jnl`	Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance. CoRR Margaret Duff, Ivor J. A. Simpson, Matthias J. Ehrhardt, Neill D. F. Campbell
2022	J	`jnl`	Imaging with Equivariant Deep Learning. CoRR Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
2022	J	`jnl`	On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction. CoRR Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt
2022	J	`jnl`	Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning. CoRR Junqi Tang, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
2021	J	`jnl`	Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. SIAM J. Imaging Sci. Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
2021	—	`conf`	Convergence Properties of a Randomized Primal-Dual Algorithm with Applications to Parallel MRI. SSVM Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt
2021	J	`jnl`	Equivariant neural networks for inverse problems. CoRR Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
2021	J	`jnl`	Inexact Derivative-Free Optimization for Bilevel Learning. J. Math. Imaging Vis. Matthias J. Ehrhardt, Lindon Roberts
2021	J	`jnl`	Regularising Inverse Problems with Generative Machine Learning Models. CoRR Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
2021	J	`jnl`	Synergistic Multi-spectral CT Reconstruction with Directional Total Variation. CoRR Evelyn Cueva, Alexander Meaney, Samuli Siltanen, Matthias J. Ehrhardt
2020	J	`jnl`	Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization. CoRR Matthias J. Ehrhardt, Lindon Roberts
2020	J	`jnl`	Inexact Derivative-Free Optimization for Bilevel Learning. CoRR Matthias J. Ehrhardt, Lindon Roberts
2020	J	`jnl`	Multi-modality imaging with structure-promoting regularisers. CoRR Matthias J. Ehrhardt
2020	J	`jnl`	On the Convergence of the Stochastic Primal-Dual Hybrid Gradient for Convex Optimization. CoRR Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt
2020	J	`jnl`	Robust Image Reconstruction With Misaligned Structural Information. IEEE Access Leon Bungert, Matthias J. Ehrhardt
2020	J	`jnl`	Robust Image Reconstruction with Misaligned Structural Information. CoRR Leon Bungert, Matthias J. Ehrhardt
2020	J	`jnl`	SIRF: Synergistic Image Reconstruction Framework. Comput. Phys. Commun. 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
2020	J	`jnl`	Structure preserving deep learning. CoRR Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I. McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
2019	J	`jnl`	Deep learning as optimal control problems: models and numerical methods. CoRR Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb
2019	J	`jnl`	Learning the Sampling Pattern for MRI. CoRR Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt
2018	J	`jnl`	Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. IEEE Trans. Medical Imaging Yu-Jung Tsai, Alexandre Bousse, Matthias J. Ehrhardt, Charles W. Stearns, Sangtae Ahn, Brian F. Hutton, Simon R. Arridge, Kris Thielemans
2018	J	`jnl`	Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning. CoRR Matthias J. Ehrhardt, Pawel Markiewicz, Carola-Bibiane Schönlieb
2018	J	`jnl`	NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis. Neuroinformatics 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
2018	J	`jnl`	Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. SIAM J. Optim. Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb
2017	J	`jnl`	Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. CoRR Leon Bungert, David A. Coomes, Matthias J. Ehrhardt, Jennifer Rasch, Rafael Reisenhofer, Carola-Bibiane Schönlieb
2017	J	`jnl`	Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. CoRR Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb
2016	J	`jnl`	Multicontrast MRI Reconstruction with Structure-Guided Total Variation. SIAM J. Imaging Sci. Matthias J. Ehrhardt, Marta M. Betcke
2016	J	`jnl`	PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets. IEEE Trans. Medical Imaging 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
2015	J	`jnl`	Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation. CoRR Matthias J. Ehrhardt, Marta M. Betcke