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cs.LG2026
Advancing Mass-Conserving Deep Learning for Distributed Hydrologic Modeling: A Case Study in a Snow-Dominated Watershed
Yihan Wang, Lujun Zhang, N. Benjamin Erichson +2
Recent progress in physics-aware deep learning (DL) has embedded mass conservation within Long Short-Term Memory (LSTM) architecture for hydrologic modeling, improving physical con…
cs.LG2025
A Deep State Space Model for Rainfall-Runoff Simulations
Yihan Wang, Lujun Zhang, Annan Yu +2
The classical way of studying the rainfall-runoff processes in the water cycle relies on conceptual or physically-based hydrologic models. Deep learning (DL) has recently emerged a…