9 citations · 18 across the 3 of their papers we have counts for
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cs.LG2024★ 1 cited
Defining error accumulation in ML atmospheric simulators
Raghul Parthipan, Mohit Anand, Hannah M. Christensen +2
Machine learning (ML) has recently shown significant promise in modelling atmospheric systems, such as the weather. Many of these ML models are autoregressive, and error accumulati…
cs.LG2022★ 9 cited
Kernel Learning for Explainable Climate Science
Vidhi Lalchand, Kenza Tazi, Talay M. Cheema +2
The Upper Indus Basin, Himalayas provides water for 270 million people and countless ecosystems. However, precipitation, a key component to hydrological modelling, is poorly unders…