most citedQuantile Extreme Gradient Boosting for Uncertainty Quantification

6 citations · 6 across the 3 of their papers we have counts for

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cs.LG2023

Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides

Lianfa Li, Roxana Khalili, Frederick Lurmann +12

Atmospheric nitrogen oxides (NOx) primarily from fuel combustion have recognized acute and chronic health and environmental effects. Machine learning (ML) methods have significantl…

cs.LG2021

Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction

Yijun Lin, Yao-Yi Chiang, Meredith Franklin +2

Many scientific prediction problems have spatiotemporal data- and modeling-related challenges in handling complex variations in space and time using only sparse and unevenly distri…