Progress on Machine Learning for the SNS High Voltage Converter Modulators... Conference Paper August, 2022
Quantifying Carbon Cycle Extremes and Attributing Their Causes Under Climate and Land Use and Land Cover Change From 1850 to ... Journal June, 2022
Multimodel ensemble predictions of precipitation using bayesian neural networks Conference Paper April, 2022
Multimodel Ensemble Predictions of Precipitation using Bayesian Neural Networks Conference Paper April, 2022
An interpretable machine learning model for advancing terrestrial ecosystem predictions Conference Paper April, 2022
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks... Conference Paper April, 2022
Temporal variabilities of soil carbon dioxide fluxes from cornfield impacted by temperature and precipitation changes through high-frequent measurement and DAYCENT modelling Journal March, 2022
Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire Journal March, 2022
