A Bayesian neural network approach to Multi-fidelity surrogate modelling

5 December 2023

Papers citing "A Bayesian neural network approach to Multi-fidelity surrogate modelling"

6 / 6 papers shown

Title
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications Xuhui Meng H. Babaee George Karniadakis 54 131 0 19 Dec 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 84 629 0 14 Jul 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks Shibo Li Wei W. Xing Mike Kirby Shandian Zhe 37 54 0 06 Jul 2020
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 157 1,057 0 18 Oct 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy Ilias Bilionis AI4CE 65 409 0 02 Feb 2018
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 166 4,304 0 18 Nov 2011