most citedRevisiting Tensor Basis Neural Networks for Reynolds stress modeling: application to plane channel and square duct flows

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stat.ME2025

Variational inference for approximate objective priors using neural networks

Nils Baillie, Antoine Van Biesbroeck, Clément Gauchy

In Bayesian statistics, the choice of the prior can have an important influence on the posterior and the parameter estimation, especially when few data samples are available. To li…