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Climate-Invariant Machine Learning

Tom Beucler and co-authors demonstrate in this preprint , that physically rescaling the inputs and outputs of ML algorithms help them generalize to unseen climates and geographies. Janni Yuval, Paul O’Gorman and Pierre Gentine contributed to the research.