Mr David Dalton

  • Research Associate (Statistics)

Publications

List by: Type | Date

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, (Accepted for Publication)

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 Nov 21 06:36:01 2024 GMT.
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, (Accepted for Publication)

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 Nov 21 06:36:01 2024 GMT.

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 Thu Nov 21 06:36:01 2024 GMT.