2 papers
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…
cs.LG2025
Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments
Rohitash Chandra, Arpit Kapoor, Siddharth Khedkar +2
In recent years, climate extremes such as floods have created significant environmental and economic hazards for Australia. Deep learning methods have been promising for predicting…