Projects per year
Personal profile
Research interests
Inverse Problems
Optimization
Machine Learning
Imaging
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Medical Imaging, Doctor of Philosophy, Joint Reconstruction for Multi-Modality Imaging with Common Structure, University College London
May 2012 → Apr 2015
Industrial Mathematics, Master of Science, Sparsity in Geosciences - Sparse Decomposition for Analysis of Sea Floor Pressure Data, Universität Bremen
Sept 2006 → Jan 2012
Keywords
- Inverse Problems
- Imaging
- Machine Learning
- Optimization
- Medical Imaging
- Applied Mathematics
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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REMODEL - Research Exchanges in the Mathematics of Deep Learning with Applications (Other JeS Guarantee Calls)
Ehrhardt, M. (PI) & Budd, C. (CoI)
1/05/24 → 30/04/28
Project: EU Commission
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Programme Grant: Mathematics of Deep Learning
Budd, C. (PI) & Ehrhardt, M. (CoI)
Engineering and Physical Sciences Research Council
31/01/22 → 30/01/27
Project: Research council
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CCP PETMR 2.0 Synergistic Reconstruction For Biomedical Imaging
Ehrhardt, M. (PI)
Engineering and Physical Sciences Research Council
1/04/20 → 31/03/25
Project: Research council
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Developing mathematical models to automatically identify artefacts in CT images of patients with Chronic Thromboembolic Pulmonary Hypertension - RUH-RCF Bath+Heriot-Watt
Ehrhardt, M. (PI)
National Institute for Health Research
15/03/21 → 30/04/22
Project: Central government, health and local authorities
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Leverhulme Eary Career Fellowship
Ehrhardt, M. (PI) & Milewski, P. (CoI)
1/05/20 → 30/04/23
Project: UK charity
Research output
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A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
Ehrhardt, M. J., Kereta, Z., Liang, J. & Tang, J., 10 Jun 2024, (Submitted) arXiv.Research output: Working paper / Preprint › Preprint
File37 Downloads (Pure) -
Analyzing inexact hypergradients for bilevel learning
Ehrhardt, M. J. & Roberts, L., 31 Jan 2024, In: IMA Journal of Applied Mathematics. 89, 1, p. 254-278 25 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile90 Downloads (Pure) -
Coupling Analysis of the Asymptotic Behaviour of a Primal-Dual Langevin Algorithm
Burger, M., Ehrhardt, M. J., Kuger, L. & Weigand, L., 28 May 2024, (Submitted) arXiv, 33 p.Research output: Working paper / Preprint › Preprint
File6 Downloads (Pure) -
Designing stable neural networks using convex analysis and ODEs
Sherry, F., Celledoni, E., Ehrhardt, M. J., Murari, D., Owren, B. & Schönlieb, C. B., 31 Jul 2024, In: Physica D: Nonlinear Phenomena. 463, 134159.Research output: Contribution to journal › Article › peer-review
Open Access -
Editorial Forward to the Special Issue on “The Applied Mathematics of Machine Learning”
Lesnic, D. & Ehrhardt, M. J., 20 May 2024, In: IMA Journal of Applied Mathematics. 89, 1, p. 1 1 p.Research output: Contribution to journal › Editorial
Open Access