most citedNeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data

23 citations · 45 across the 5 of their papers we have counts for

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cs.IT2018★ 8 cited

Extracting structured dynamical systems using sparse optimization with very few samples

Hayden Schaeffer, Giang Tran, Rachel Ward +1

Learning governing equations allows for deeper understanding of the structure and dynamics of data. We present a random sampling method for learning structured dynamical systems fr…