Gaussian process surrogates for failure detection: a Bayesian experimental design approach

11 September 2015

Papers citing "Gaussian process surrogates for failure detection: a Bayesian experimental design approach"

9 / 9 papers shown

Title
Multifidelity Cross-validation Sudharshan Ashwin Renganathan Kade Carlson 94 0 0 01 Jul 2024
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems Robert J. Moss Mykel J. Kochenderfer Maxime Gariel Arthur Dubois 53 4 0 03 May 2023
Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems Yani Feng Keju Tang Xiaoliang Wan Qifeng Liao 56 2 0 01 Mar 2023
An adaptive multi-fidelity sampling framework for safety analysis of connected and automated vehicles Xianliang Gong Shuo Feng Yulin Pan 115 6 0 25 Oct 2022
Validation of Composite Systems by Discrepancy Propagation David Reeb Kanil Patel Karim Barsim Martin Schiegg S. Gerwinn 89 2 0 21 Oct 2022
Active Learning for Saddle Point Calculation Shuting Gu Hongqiao Wang Xiaoping Zhou 46 5 0 10 Aug 2021
The sample complexity of level set approximation François Bachoc Tommaso Cesari Sébastien Gerchinovitz 33 8 0 26 Oct 2020
Contour location via entropy reduction leveraging multiple information sources A. Marques Rémi R. Lam Karen E. Willcox 56 32 0 19 May 2018
A supermartingale approach to Gaussian process based sequential design of experiments Julien Bect François Bachoc D. Ginsbourger 114 78 0 03 Aug 2016