188 citations · 511 across the 15 of their papers we have counts for
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cs.LG2023★ 13 cited
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Sibo Cheng, Cesar Quilodran-Casas, Said Ouala +14
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical a…
cs.LG2021★ 19 cited
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification
Maximiliano A. Sacco, Juan J. Ruiz, Manuel Pulido +1
Ensemble forecasting is, so far, the most successful approach to produce relevant forecasts with an estimation of their uncertainty. The main limitations of ensemble forecasting ar…