Mr David Dalton

  • Research Associate (Statistics)

Publications

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Jump to: 2024
Number of items: 2.

2024

Dalton, D., Lazarus, A., Gao, H. and Husmeier, D. (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, D., Husmeier, D. and Gao, H. (2024) Physics and Lie Symmetry Informed Gaussian Processes. In: 41st International Conference on Machine Learning, Vienna, Austria, 21-27 Jul 2024, (Accepted for Publication)

This list was generated on Thu Apr 17 09:49:04 2025 BST.
Number of items: 2.

Articles

Dalton, D., Lazarus, A., Gao, H. and Husmeier, D. (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.

Conference Proceedings

Dalton, D., Husmeier, D. and Gao, H. (2024) Physics and Lie Symmetry Informed Gaussian Processes. In: 41st International Conference on Machine Learning, Vienna, Austria, 21-27 Jul 2024, (Accepted for Publication)

This list was generated on Thu Apr 17 09:49:04 2025 BST.

Research datasets

Jump to: 2022
Number of items: 1.

2022

Dalton, D., Gao, H. and Husmeier, D. (2022) Data From: Emulation of Cardiac Mechanics using Graph Neural Networks. [Data Collection]

This list was generated on Fri Apr 18 13:45:17 2025 BST.