most citedEmpowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications

13 citations · 13 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2024★ 13 cited

Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications

Javad Ghorbanian, Nicholas Casaprima, Audrey Olivier

In recent years, neural networks (NNs) have become increasingly popular for surrogate modeling tasks in mechanics and materials modeling applications. While traditional NNs are det…