activity
20162026
most citedGaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids

31 citations · 34 across the 5 of their papers we have counts for

collaborators
Showing 2016Show all

1 paper · 1 filter

cs.CE2016★ 3 cited

Bayesian inference for the stochastic identification of elastoplastic material parameters: Introduction, misconceptions and insights

Hussein Rappel, Lars A. A. Beex, Jack S. Hale +1

We discuss Bayesian inference (BI) for the probabilistic identification of material parameters. This contribution aims to shed light on the use of BI for the identification of elas…