1. Model and data uncertainty for satellite time series forecasting with deep recurrent models;rußwurm;IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium,0
2. Practical Gauss-Newton optimisation for deep learning;botev;Proceedings of the 34th International Conference on Machine Learning,2017
3. New insights and perspectives on the natural gradient method;martens;J Mach Learn Res,2020
4. Stochastic segmentation networks: Modelling spatially correlated aleatoric uncertainty;monteiro;Advances in neural information processing systems,2020