Preprints
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability
Submitted, 2023
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
Submitted, 2023
Benchmarking Bayesian neural networks and evaluation metrics for regression tasks
Submitted, 2023
Publications
Loss of ellipticity analysis in non-smooth plasticity
International Journal of Solid and Structures, 2021
Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites
Computer Methods in Applied Mechanics and Engineering, 2019
A random field model for anisotropic strain energy functions and its application for uncertainty quantification in vascular mechanics constitutive model for laminated composites
Computer Methods in Applied Mechanics and Engineering, 2018
Stochastic modeling and generation of random fields of elasticity tensors: a unified information-theoretic approach
Comptes Rendus Mécanique, 2017
Stochastic hyperelastic constitutive laws and identification procedure for soft biological tissues with intrinsic variability
Journal of the Mechanical Behavior of Biomedical Materials, 2017
Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case
Journal of Applied Mathemarics and Mechanics, 2017
Functional approximation and projection of stored energy functions in computational homogenization of hyperelastic materials: A probabilistic perspective
Computer Methods in Applied Mechanics and Engineering, 2017
Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties
Comptes Rendues Mécanique, 2015
Approximate solutions of Lagrange multipliers for information-theoretic random field models
SIAM / Journal of Uncertainty Quantification, 2015