Items where authors include "Bainomugisha, E."

Article

Smith, M.T., Ross, M., Ssematimba, J. et al. (3 more authors) (2023) Modelling calibration uncertainty in networks of environmental sensors. Journal of the Royal Statistical Society Series C: Applied Statistics, 72 (5). pp. 1187-1209. ISSN 0035-9254

Proceedings Paper

Gahungu, P., Lanyon, C.W., Álvarez, M.A. et al. (3 more authors) (2022) Adjoint-aided inference of Gaussian process driven differential equations. In: Advances in Neural Information Processing Systems (NeurIPS 2022). 36th Conference on Neural Information Processing Systems (NeurIPS 2022), 28 Nov - 09 Dec 2022, New Orleans, LA, USA. . ISBN 9781713871088

Preprint

Smith, M.T., Ssematimba, J., Álvarez, M.A. et al. (1 more author) (2019) Machine Learning for a low-cost air pollution network. [Preprint] (Submitted)