49 citations · 49 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Learning to generate physical ocean states: Towards hybrid climate modeling
Etienne Meunier, David Kamm, Guillaume Gachon +2
Ocean General Circulation Models require extensive computational resources to reach equilibrium states, while deep learning emulators, despite offering fast predictions, lack the p…
physics.ao-ph2022★ 49 cited
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics
Mariana C. A. Clare, Maike Sonnewald, Redouane Lguensat +2
The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be problematic given the increasin…