Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes

30 November 2020

Papers citing "Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes"

4 / 4 papers shown

Title
SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration M. R Paul Saves P. Palar L. Zuhal oseph Morlier MoE LRM 82 1 0 25 Mar 2025
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes P. Saves R. Lafage N. Bartoli Y. Diouane J. Bussemaker T. Lefebvre John T. Hwang J. Morlier J. Martins MoE 87 71 0 23 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 116 81 0 07 May 2023
Improvement of the cross-entropy method in high dimension for failure probability estimation through a one-dimensional projection without gradient estimation Maxime El Masri Jérome Morio F. Simatos 53 26 0 21 Dec 2020