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Found 2 papers, 1 papers with code
Active Manifolds: A non-linear analogue to Active Subspaces
Overall, AM represents a novel technique for analyzing functional models with benefits including: reducing $m$-dimensional analysis to a 1-D analogue, permitting more accurate regression than AS (at more computational expense), enabling more informative sensitivity analysis, and granting accessible visualizations(2-D plots) of parameter sensitivity along the AM.
Dimension Reduction Using Active Manifolds
This project was inspired by an approach known as Active Subspaces, which works by linearly projecting to a linear subspace where the function changes most on average.
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