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most citedOne-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels

30 citations · 69 across the 20 of their papers we have counts for

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Showing 2019 · math.DSShow all

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math.DS2019

Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds

Andreas Bittracher, Stefan Klus, Boumediene Hamzi +2

We present a novel kernel-based machine learning algorithm for identifying the low-dimensional geometry of the effective dynamics of high-dimensional multiscale stochastic systems.…