Adjoint-aided inference of Gaussian process driven differential equations
(2022)
Presentation / Conference Contribution
Gahungu, P., Lanyon, C. W., Álvarez, M. A., Smith, M. T., & Wilkinson, R. D. (2022, November). Adjoint-aided inference of Gaussian process driven differential equations. Presented at NeurIPS 2022: Thirty-sixth Conference on Neural Information Processing Systems, New Orleans, USA and online
Linear systems occur throughout engineering and the sciences, most notably as differential equations. In many cases the forcing function for the system is unknown, and interest lies in using noisy observations of the system to infer the forcing, as w... Read More about Adjoint-aided inference of Gaussian process driven differential equations.