466 citations · 1.1k across the 7 of their papers we have counts for
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cs.LG2023★ 7 cited
Probing the limit of hydrologic predictability with the Transformer network
Jiangtao Liu, Yuchen Bian, Chaopeng Shen
For a number of years since its introduction to hydrology, recurrent neural networks like long short-term memory (LSTM) have proven remarkably difficult to surpass in terms of dail…
cs.LG2023★ 466 cited
Differentiable modeling to unify machine learning and physical models and advance Geosciences
Chaopeng Shen, Alison P. Appling, Pierre Gentine +27
Process-Based Modeling (PBM) and Machine Learning (ML) are often perceived as distinct paradigms in the geosciences. Here we present differentiable geoscientific modeling as a powe…