Publications related to MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

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A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

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We propose a non-intrusive reduced basis (RB) method for parametrized nonlinear partial differential equations (PDEs) that leverages models of different accuracy. From a collection of low-fidelity (LF) snapshots, parameter locations are extracted for the e ...

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MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

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Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial

Distributional Regression and Autoregression via Optimal Transport

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Distribution-on-distribution regression via optimal transport maps

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Fast screening of covariates in population models empowered by machine learning

Improving sample and feature selection with principal covariates regression

Physics-enhanced machine learning with symmetry-adapted and long-range representations

Sparsest piecewise-linear regression of one-dimensional data

A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial

Improving sample and feature selection with principal covariates regression

Distributional Regression and Autoregression via Optimal Transport

Sparsest piecewise-linear regression of one-dimensional data

Distribution-on-distribution regression via optimal transport maps

A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Physics-enhanced machine learning with symmetry-adapted and long-range representations

Fast screening of covariates in population models empowered by machine learning

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Bayes-optimal Learning of Deep Random Networks of Extensive-width