DOE OSTI · 1769787
Towards Trustworthy and Interpretable Deep Learning-assisted Ecohydrological Models
Abstract
The transformational science question we plan to address is: How do we leverage in-situ observations and simulations from process-based ecohydrological model to construct interpretable and trustworthy deep learning (DL) models for improved reliability of prediction of quantities of interest (QoIs) under hydro-climatic extremes?
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Jiang, Peishi, Chen, Xingyuan, Mudunuru, Maruti, Kumar, Praveen, Shuai, Pin, Son, Kyongho, Sun, Alexander. 2021-02-12. Towards Trustworthy and Interpretable Deep Learning-assisted Ecohydrological Models. https://doi.org/10.2172/1769787
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