A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration ... Journal July, 2023
Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems Conference Paper July, 2023
Assessing Tropical Pacific-induced Predictability of Southern California Precipitation Using a Novel Multi-input Multi-output Autoencoder Journal July, 2023
Uncertainty quantification of the convolutional neural networks on permeability estimation from micro-CT scanned sandstone and carbonate rock images Journal July, 2023
ENSO Diversity and the Simulation of Its Teleconnections to Winter Precipitation Extremes Over the US in High Resolution Eart... Journal June, 2023
Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network and Analysis of Complementar... Journal June, 2023
Editorial: Data-driven machine learning for advancing hydrological and hydraulic predictability... Journal June, 2023
Uncertainty Quantification of Capacitor Switching Transient Location using Machine Learning Journal June, 2023