Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach

15 December 2018

Papers citing "Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach"

5 / 5 papers shown

Title
Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces Anthony Nouy Alexandre Pasco 37 0 0 03 May 2025
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty Paz Fink Shustin Shashanka Ubaru Vasileios Kalantzis L. Horesh H. Avron 21 2 0 10 Feb 2022
Active learning for structural reliability: survey, general framework and benchmark M. Moustapha S. Marelli Bruno Sudret AI4CE 17 156 0 03 Jun 2021
Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems Ziqi Wang M. Broccardo Junho Song 25 1 0 04 Mar 2020
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 86 271 0 24 Feb 2014