1. Bonasera, S., Acciarini, G., Pérez-Hernández, J., Benson, B., Brown, E., Sutton, E., Jah, M.K., Bridges, C., Baydin, A.G., 2021. Dropout and ensemble networks for thermospheric density uncertainty estimation. In: Bayesian Deep Learning Workshop, NeurIPS 2021.
2. Uncertainty quantification of the dtm2020 thermosphere model;Boniface;J. Space Weather Space Clim.,2021
3. CIRA-2012 International Working Group, 2012. COSPAR International Reference Atmosphere 2012 (CIRA-2012) – Models of the Earth’s upper atmosphere. Technical report, The Committee on Space Research.
4. Entropy-based approach for uncertainty propagation of nonlinear dynamical systems;DeMars;J. Guid. Control Dyn.,2013
5. Denker, J., LeCun, Y., 1990. Transforming neural-net output levels to probability distributions. In: Proceedings of the 3rd International Conference on Neural Information Processing Systems, pp. 853–859.