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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.