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20192023
most citedModular machine learning-based elastoplasticity: generalization in the context of limited data

70 citations · 80 across the 7 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cond-mat.soft2023★ 1 cited

Stress representations for tensor basis neural networks: alternative formulations to Finger-Rivlin-Ericksen

Jan N. Fuhg, Nikolaos Bouklas, Reese E. Jones

Data-driven constitutive modeling frameworks based on neural networks and classical representation theorems have recently gained considerable attention due to their ability to easi…

stat.ME2023

Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations

Wyatt Bridgman, Reese Jones, Mohammad Khalil

For predictive modeling relying on Bayesian inversion, fully independent, or ``mean-field'', Gaussian distributions are often used as approximate probability density functions in v…