Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method. - Francesco Romor; Marco Tezzele; Andrea Lario; Gianluigi Rozza (CoRR, 2020)

Neural-network learning of SPOD latent dynamics. - Andrea Lario; Romit Maulik; Gianluigi Rozza; Gianmarco Mengaldo (CoRR, 2021)

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)

Deep learning-based reduced-order methods for fast transient dynamics. - Martina Cracco; Giovanni Stabile; Andrea Lario; Martin Larcher; Folco Casadei; Georgios Valsamos; Gianluigi Rozza (CoRR, 2022)

Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics. - Niccolò Tonicello; Andrea Lario; Gianluigi Rozza; Gianmarco Mengaldo (CoRR, 2022)

Neural-network learning of SPOD latent dynamics. - Andrea Lario; Romit Maulik; Oliver T. Schmidt; Gianluigi Rozza; Gianmarco Mengaldo (J. Comput. Phys., 2022)