Graph Laplacian-based Bayesian Multi-fidelity Modeling

12 September 2024

Papers citing "Graph Laplacian-based Bayesian Multi-fidelity Modeling"

8 / 8 papers shown

Title
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification Nuojin Cheng Osman Asif Malik Subhayan De Stephen Becker Alireza Doostan 54 9 0 25 May 2023
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning Kevin Miller Jeff Calder 57 6 0 27 Oct 2022
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications Xuhui Meng H. Babaee George Karniadakis 54 131 0 19 Dec 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks Shibo Li Wei W. Xing Mike Kirby Shandian Zhe 37 54 0 06 Jul 2020
Transfer learning based multi-fidelity physics informed deep neural network S. Chakraborty PINN OOD AI4CE 67 165 0 19 May 2020
NFFT meets Krylov methods: Fast matrix-vector products for the graph Laplacian of fully connected networks Dominik Alfke D. Potts Martin Stoll Toni Volkmer 27 14 0 14 Aug 2018
Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms Matthew M. Dunlop D. Slepčev Andrew M. Stuart Matthew Thorpe 42 61 0 23 May 2018
Bayesian treed Gaussian process models with an application to computer modeling R. Gramacy Herbert K. H. Lee 177 679 0 24 Oct 2007