The above article has been updated to add in some missing funding information about Extreme Science and Engineering Discovery Environment (XSEDE), including an extra reference.
Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Fasel, U.
Kutz, J. N.
Brunton, B. W.
and
Brunton, S. L.
2022.
Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences,
Vol. 478,
Issue. 2260,