Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification

no code implementations • 7 Feb 2024 • Jungho Kim, Sang-ri Yi, Ziqi Wang

The proposed method also diverges from the Probabilistic Learning on Manifold, as a reconstruction mapping from the feature space to the input-output space is circumvented.

Dimensionality Reduction Uncertainty Quantification