Items where Funder is GOOGLE.ORG.
Number of items: 2.
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
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