David Dalton

According to our database, David Dalton authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Graph Neural Network Surrogates for Contacting Deformable Bodies with Necessary and Sufficient Contact Detection.

Vijay K. Dubey, Collin E. Haese, Osman Gültekin, David Dalton, Manuel K. Rausch, Jan Niklas Fuhg

CoRR, July, 2025

2024

Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations.

David Dalton, Alan Lazarus, Hao Gao, Dirk Husmeier

J. Mach. Learn. Res., 2024

Physics and Lie symmetry informed Gaussian processes.

David Dalton, Dirk Husmeier, Hao Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications.

Arash Rabbani, Hao Gao, Alan Lazarus, David Dalton, Yuzhang Ge, Kenneth Mangion, Colin Berry, Dirk Husmeier

Comput. Medical Imaging Graph., June, 2023

2021

Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics.

Lukasz Romaszko, Agnieszka Borowska, Alan Lazarus, David Dalton, Colin Berry, Xiaoyu Luo, Dirk Husmeier, Hao Gao

Artif. Intell. Medicine, 2021