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C. Fernandez-Granda

Transfer Learning for Emulating Ocean Climate Variability across CO2 forcing
Implementation of a data-driven equation-discovery mesoscale parameterization into an ocean model
Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model
Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization into a Numerical Ocean Circulation Model
Benchmarking of machine learning ocean subgrid parameterizations in an idealized model
Deep Probability Estimation