Article-Journal

Friedrichs' systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions

Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations

Generative models for the deformation of industrial shapes with linear geometric constraints: Model order and parameter space reductions

Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method

Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering

A Local Approach to Parameter Space Reduction for Regression and Classification Tasks

Kernel-based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method