most citedLearning nonlinear level sets for dimensionality reduction in function approximation

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

math.FA2019★ 3 cited

Learning nonlinear level sets for dimensionality reduction in function approximation

Guannan Zhang, Jiaxin Zhang, Jacob Hinkle

We developed a Nonlinear Level-set Learning (NLL) method for dimensionality reduction in high-dimensional function approximation with small data. This work is motivated by a variet…