Output Error Estimates in Reduced Basis Methods for Time-Harmonic Maxwell's Equations. - Martin W. Hess; Peter Benner (ENUMATH, 2015)

Discontinuous Galerkin Model Order Reduction of Geometrically Parametrized Stokes Equation. - Nirav Vasant Shah; Martin Wilfried Hess; Gianluigi Rozza (ENUMATH, 2019)

Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations. - Gianluigi Rozza; Martin W. Hess; Giovanni Stabile; Marco Tezzele; Francesco Ballarin (CoRR, 2019)

MicroROM: An Efficient and Accurate Reduced Order Method to Solve Many-Query Problems in Micro-Motility. - Nicola Giuliani; Martin W. Hess; Antonio DeSimone; Gianluigi Rozza (CoRR, 2020)

A comparison of reduced-order modeling approaches for PDEs with bifurcating solutions. - Martin W. Hess; Annalisa Quaini; Gianluigi Rozza (CoRR, 2020)

Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. - Moreno Pintore; Federico Pichi; Martin W. Hess; Gianluigi Rozza; Claudio Canuto (Adv. Comput. Math., 2021)

Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier-Stokes Equations. - Martin W. Hess; Gianluigi Rozza (CoRR, 2022)

Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives. - Martin W. Hess; Andrea Lario; Gianmarco Mengaldo; Gianluigi Rozza (CoRR, 2022)

Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics. - Martin W. Hess; Annalisa Quaini; Gianluigi Rozza (CoRR, 2022)

A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems. - Isabella Carla Gonnella; Martin W. Hess; Giovanni Stabile; Gianluigi Rozza (CoRR, 2023)

A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation. - Martin W. Hess; Annalisa Quaini; Gianluigi Rozza (Adv. Comput. Math., 2023)

A two-stage deep learning architecture for model reduction of parametric time-dependent problems. - Isabella Carla Gonnella; Martin W. Hess; Giovanni Stabile; Gianluigi Rozza (Comput. Math. Appl., 2023)