Summary
My personal web page is available at http://www2.imperial.ac.uk/~knw/.
Publications
Journals
Webster K, 2022, Low-Rank kernel approximation of Lyapunov functions using neural networks, Journal of Computational Dynamics, ISSN:2158-2505
Giesl P, Hamzi B, Rasmussen M, et al., 2020, Approximation of Lyapunov functions from noisy data, Journal of Computational Dynamics, Vol:7, ISSN:2158-2491, Pages:57-81
Rasmussen M, Rieger J, Webster KN, 2018, A reinterpretation of set differential equations as differential equations in a Banach space, Proceedings of the Royal Society of Edinburgh Section A-mathematics, Vol:148, ISSN:1473-7124, Pages:429-446
Conference
Gabel A, Klein V, Valperga R, et al., 2023, Learning lie group symmetry transformations with neural networks, 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML) at the 40th International Conference on Machine Learning, ML Research Press, Pages:50-59
Valperga R, Webster K, Klein V, et al., Learning reversible symplectic dynamics, 4th Annual Learning for Dynamics and Control Conference, PLMR