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20202025
most citedInterpreted machine learning in fluid dynamics: Explaining relaminarisation events in wall-bounded shear flows

31 citations · 72 across the 8 of their papers we have counts for

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cs.LG2020★ 28 cited

Using Machine Learning to predict extreme events in the Hénon map

Martin Lellep, Jonathan Prexl, Moritz Linkmann +1

Machine Learning (ML) inspired algorithms provide a flexible set of tools for analyzing and forecasting chaotic dynamical systems. We here analyze the performance of one algorithm…