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20172022
most citedA Relaxation Approach to Feature Selection for Linear Mixed Effects Models

2 citations · 4 across the 4 of their papers we have counts for

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physics.comp-ph2019

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…