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20182025
most citedEnsemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments

1 citations · 1 across the 3 of their papers we have counts for

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cs.LG2025

QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification

Arpit Kapoor, Rohitash Chandra

Conceptual rainfall-runoff models aid hydrologists and climate scientists in modelling streamflow to inform water management practices. Recent advances in deep learning have unrave…