Mr David Dalton
- Research Associate (Statistics)
Publications
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,
(Accepted for Publication)
Articles
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.
Conference Proceedings
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,
(Accepted for Publication)