Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling

15 December 2020

Papers citing "Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling"

5 / 5 papers shown

Title
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
Flood forecasting with machine learning models in an operational framework Sella Nevo E. Morin Adi Gerzi Rosenthal Asher Metzger Chen Barshai ... Yuval Levin Zach Moshe Z. Ben-Haim Avinatan Hassidim Yossi Matias AI4CE 13 117 0 04 Nov 2021
Accurate and Reliable Forecasting using Stochastic Differential Equations Peng Cui Zhijie Deng Wenbo Hu Jun Zhu UQCV 30 1 0 28 Mar 2021
Continental-scale streamflow modeling of basins with reservoirs: towards a coherent deep-learning-based strategy Wenyu Ouyang K. Lawson D. Feng L. Ye Chi Zhang Chaopeng Shen AI4TS AI4CE 54 60 0 12 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015