Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids.
Saurabh DeshpandeHussein RappelMark HobbsStéphane P. A. BordasJakub LengiewiczPublished in: CoRR (2024)
Keyphrases
- gaussian process regression
- neural network
- gaussian process
- covariance function
- gaussian processes
- artificial neural networks
- restricted boltzmann machine
- gaussian process latent variable models
- probabilistic model
- hidden layer
- radial basis function
- random variables
- feedforward neural networks
- deep learning
- generative model
- maximum likelihood
- knn