Search Results for author:
Found 2 papers, 2 papers with code
Surrogate-assisted Bayesian inversion for landscape and basin evolution models
In this paper, we apply surrogate-assisted parallel tempering where that surrogate mimics a landscape evolution model by estimating the likelihood function from the model.
Surrogate-assisted parallel tempering for Bayesian neural learning
Due to the need for robust uncertainty quantification, Bayesian neural learning has gained attention in the era of deep learning and big data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
