Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate

21 February 2022

Papers citing "Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate"

4 / 4 papers shown

Title
Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis Kim Jie Koh F. Cirak AI4CE 17 9 0 23 May 2023
A connection between probability, physics and neural networks Sascha Ranftl PINN 13 9 0 26 Sep 2022
A Comparison of Optimization Algorithms for Deep Learning Derya Soydaner 49 120 0 28 Jul 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015