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20132025
most citedCompressive sensing and low-rank libraries for classification of bifurcation regimes in nonlinear dynamical systems

129 citations · 192 across the 9 of their papers we have counts for

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Showing 2019Show all

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physics.comp-ph2019★ 1 cited

A unified sparse optimization framework to learn parsimonious physics-informed models from data

Kathleen Champion, Peng Zheng, Aleksandr Y. Aravkin +2

Machine learning (ML) is redefining what is possible in data-intensive fields of science and engineering. However, applying ML to problems in the physical sciences comes with a uni…