Bayesian neural networks for predicting uncertainty in full-field
material response

Bayesian neural networks for predicting uncertainty in full-field material response

21 June 2024

Lori Graham-Brady

Michael D. Shields

Papers citing "Bayesian neural networks for predicting uncertainty in full-field material response"

7 / 7 papers shown

Title
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 30 1 0 21 Oct 2024
Stress field prediction in fiber-reinforced composite materials using a deep learning approach Anindya Bhaduri Ashwini Gupta L. Graham‐Brady AI4CE 19 115 0 01 Nov 2021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 170 756 0 13 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 75,445 0 18 May 2015
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,263 0 09 Jun 2012