Mr David Dalton
- Research Associate (Statistics)
Publications
2026
Dalton, David, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2026)
Finite-element Gaussian processes for the machine learning of steady-state linear partial differential equations.
Computer Methods in Applied Mechanics and Engineering, 451,
118580.
(doi: 10.1016/j.cma.2025.118580)
Dalton, David, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2026)
FlowPINNs: a Variational Framework for PDE Parameter Inference
and Uncertainty Quantification.
In: Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS 2026), Tangier, Morocco, 02-05 May 2026,
(Accepted for Publication)
Dubey, Vijay K., Haese, Collin E., Gültekin, Osman, Dalton, David, Rausch, Manuel K. and Fuhg, Jan (2026) Graph neural network surrogates for contacting deformable bodies with necessary and sufficient contact detection. Computer Methods in Applied Mechanics and Engineering, 448, 118413. (doi: 10.1016/j.cma.2025.118413)
2024
Dalton, David, Lazarus, Alan, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2024)
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations.
Journal of Machine Learning Research, 25(272),
pp. 1-61.
Dalton, David, Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2024)
Physics and Lie Symmetry Informed Gaussian Processes.
In: 41st International Conference on Machine Learning, Vienna, Austria, 21-27 Jul 2024,
pp. 9953-9975.
2023
Dalton, David, Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2023)
Physics-informed graph neural network emulation of soft-tissue mechanics
computer methods in applied mechanics and engineering.
Computer Methods in Applied Mechanics and Engineering, 417(A),
116351.
(doi: 10.1016/j.cma.2023.116351)
Rabbani, Arash, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435, Lazarus, Alan, Dalton, David, Ge, Yuzhang, Mangion, Kenneth, Berry, Colin
ORCID: https://orcid.org/0000-0002-4547-8636 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2023)
Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications.
Computerized Medical Imaging and Graphics, 106,
102203.
(doi: 10.1016/j.compmedimag.2023.102203)
(PMID:36848766)
2022
Dalton, David, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2022)
Emulation of cardiac mechanics using Graph Neural Networks.
Computer Methods in Applied Mechanics and Engineering, 401(B),
115645.
(doi: 10.1016/j.cma.2022.115645)
Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413, Dalton, David, Lazarus, Alan and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2022)
Forward and Inverse Uncertainty Quantification in Cardiac Mechanics.
4th International Conference on Statistics: Theory and Applications (ICSTA 22), Prague, Czech Republic, 28-30 July 2022.
(doi: 10.11159/icsta22.161)
Lazarus, Alan, Dalton, David, Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2022)
Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics.
Biomechanics and Modeling in Mechanobiology, 21(3),
pp. 953-982.
(doi: 10.1007/s10237-022-01571-8)
(PMID:35377030)
(PMCID:PMC9132878)
2021
Romaszko, Lukasz, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Lazarus, Alan, Dalton, David, Berry, Colin
ORCID: https://orcid.org/0000-0002-4547-8636, Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210, Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2021)
Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics.
Artificial Intelligence In Medicine, 119,
102140.
(doi: 10.1016/j.artmed.2021.102140)
Dalton, David, Lazarus, Alan, Rabbani, Arash, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2021)
Graph Neural Network Emulation of Cardiac Mechanics.
In: 3rd International Conference on Statistics: Theory and Applications (ICSTA'21), 29-31 Jul 2021,
p. 127.
ISBN 9781927877913
(doi: 10.11159/icsta21.127)
2020
Dalton, David, Lazarus, Alan and Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413
(2020)
Comparative evaluation of different emulators for cardiac mechanics.
In: Ladde, Gangaram and Noelle, Samia (eds.)
Proceedings of the 2nd International Conference on Statistics: Theory and Applications (ICSTA'20).
Avestia Publishing: Ottawa, Canada, p. 126.
ISBN 9781927877685
(doi: 10.11159/icsta20.126)
Dalton, David and Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413
(2020)
Improved statistical emulation for a soft-tissue cardiac mechanical model.
In: Irigoien, Itziar, Lee, Dae-Jin, Martínez-Minaya, Joaquín and Rodríguez-Álvarez, María Xosé (eds.)
Proceedings of the 35th International Workshop on Statistical Modelling.
Servicio Editorial de la Universidad del País Vasco: Bilbao, Spain, pp. 55-60.
ISBN 9788413192673
Articles
Dalton, David, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2026)
Finite-element Gaussian processes for the machine learning of steady-state linear partial differential equations.
Computer Methods in Applied Mechanics and Engineering, 451,
118580.
(doi: 10.1016/j.cma.2025.118580)
Dubey, Vijay K., Haese, Collin E., Gültekin, Osman, Dalton, David, Rausch, Manuel K. and Fuhg, Jan (2026) Graph neural network surrogates for contacting deformable bodies with necessary and sufficient contact detection. Computer Methods in Applied Mechanics and Engineering, 448, 118413. (doi: 10.1016/j.cma.2025.118413)
Dalton, David, Lazarus, Alan, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2024)
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations.
Journal of Machine Learning Research, 25(272),
pp. 1-61.
Dalton, David, Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2023)
Physics-informed graph neural network emulation of soft-tissue mechanics
computer methods in applied mechanics and engineering.
Computer Methods in Applied Mechanics and Engineering, 417(A),
116351.
(doi: 10.1016/j.cma.2023.116351)
Rabbani, Arash, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435, Lazarus, Alan, Dalton, David, Ge, Yuzhang, Mangion, Kenneth, Berry, Colin
ORCID: https://orcid.org/0000-0002-4547-8636 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2023)
Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications.
Computerized Medical Imaging and Graphics, 106,
102203.
(doi: 10.1016/j.compmedimag.2023.102203)
(PMID:36848766)
Dalton, David, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2022)
Emulation of cardiac mechanics using Graph Neural Networks.
Computer Methods in Applied Mechanics and Engineering, 401(B),
115645.
(doi: 10.1016/j.cma.2022.115645)
Lazarus, Alan, Dalton, David, Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2022)
Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics.
Biomechanics and Modeling in Mechanobiology, 21(3),
pp. 953-982.
(doi: 10.1007/s10237-022-01571-8)
(PMID:35377030)
(PMCID:PMC9132878)
Romaszko, Lukasz, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Lazarus, Alan, Dalton, David, Berry, Colin
ORCID: https://orcid.org/0000-0002-4547-8636, Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210, Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2021)
Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics.
Artificial Intelligence In Medicine, 119,
102140.
(doi: 10.1016/j.artmed.2021.102140)
Book Sections
Dalton, David, Lazarus, Alan and Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413
(2020)
Comparative evaluation of different emulators for cardiac mechanics.
In: Ladde, Gangaram and Noelle, Samia (eds.)
Proceedings of the 2nd International Conference on Statistics: Theory and Applications (ICSTA'20).
Avestia Publishing: Ottawa, Canada, p. 126.
ISBN 9781927877685
(doi: 10.11159/icsta20.126)
Dalton, David and Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413
(2020)
Improved statistical emulation for a soft-tissue cardiac mechanical model.
In: Irigoien, Itziar, Lee, Dae-Jin, Martínez-Minaya, Joaquín and Rodríguez-Álvarez, María Xosé (eds.)
Proceedings of the 35th International Workshop on Statistical Modelling.
Servicio Editorial de la Universidad del País Vasco: Bilbao, Spain, pp. 55-60.
ISBN 9788413192673
Conference or Workshop Item
Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413, Dalton, David, Lazarus, Alan and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2022)
Forward and Inverse Uncertainty Quantification in Cardiac Mechanics.
4th International Conference on Statistics: Theory and Applications (ICSTA 22), Prague, Czech Republic, 28-30 July 2022.
(doi: 10.11159/icsta22.161)
Conference Proceedings
Dalton, David, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2026)
FlowPINNs: a Variational Framework for PDE Parameter Inference
and Uncertainty Quantification.
In: Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS 2026), Tangier, Morocco, 02-05 May 2026,
(Accepted for Publication)
Dalton, David, Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2024)
Physics and Lie Symmetry Informed Gaussian Processes.
In: 41st International Conference on Machine Learning, Vienna, Austria, 21-27 Jul 2024,
pp. 9953-9975.
Dalton, David, Lazarus, Alan, Rabbani, Arash, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2021)
Graph Neural Network Emulation of Cardiac Mechanics.
In: 3rd International Conference on Statistics: Theory and Applications (ICSTA'21), 29-31 Jul 2021,
p. 127.
ISBN 9781927877913
(doi: 10.11159/icsta21.127)
Research datasets
2022
Dalton, D., Gao, H. and Husmeier, D. (2022) Data From: Emulation of Cardiac Mechanics using Graph Neural Networks. [Data Collection]