Posts by Collection

Benchmarking Bayesian neural networks and evaluation metrics for regression tasks

Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization

MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability

Approximate solutions of Lagrange multipliers for information-theoretic random field models

Published in , 1900

Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties

Published in , 1900

Functional approximation and projection of stored energy functions in computational homogenization of hyperelastic materials: A probabilistic perspective

Published in , 1900

Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case

Published in , 1900

Stochastic hyperelastic constitutive laws and identification procedure for soft biological tissues with intrinsic variability

Published in , 1900

Stochastic modeling and generation of random fields of elasticity tensors: a unified information-theoretic approach

Published in , 1900

A random field model for anisotropic strain energy functions and its application for uncertainty quantification in vascular mechanics constitutive model for laminated composites

Published in , 1900

Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites

Published in , 1900

Loss of ellipticity analysis in non-smooth plasticity

Published in , 1900