Inverse modeling of hydrologic systems with adaptive multi-fidelity Markov chain Monte Carlo simulations

6 December 2017

Papers citing "Inverse modeling of hydrologic systems with adaptive multi-fidelity Markov chain Monte Carlo simulations"

5 / 5 papers shown

Title
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation Promiti Chakroborty Somayajulu L. N. Dhulipala Yifeng Che Wen Jiang B. Spencer J. Hales Michael D. Shields AI4CE 29 3 0 07 Dec 2022
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation Somayajulu L. N. Dhulipala Michael D. Shields B. Spencer C. Bolisetti A. Slaughter V. Labouré P. Chakroborty 32 24 0 25 Jun 2021
Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error Jiangjiang Zhang Q. Zheng Dingjiang Chen Laosheng Wu L. Zeng 30 36 0 10 Jul 2018
Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation Alex A. Gorodetsky Youssef M. Marzouk 36 38 0 27 Feb 2015
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic Loic Le Gratiet AI4CE 88 292 0 02 Oct 2012