A Reduced Order technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation. - Federico Pichi; Annalisa Quaini; Gianluigi Rozza (CoRR, 2019)

Reduced Basis Approaches for Parametrized Bifurcation Problems held by Non-linear Von Kármán Equations. - Federico Pichi; Gianluigi Rozza (J. Sci. Comput., 2019)

Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction. - Federico Pichi; Maria Strazzullo; Francesco Ballarin; Gianluigi Rozza (CoRR, 2020)

A Reduced Order Modeling Technique to Study Bifurcating Phenomena: Application to the Gross-Pitaevskii Equation. - Federico Pichi; Annalisa Quaini; Gianluigi Rozza (SIAM J. Sci. Comput., 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)

An artificial neural network approach to bifurcating phenomena in computational fluid dynamics. - Federico Pichi; Francesco Ballarin; Gianluigi Rozza; Jan S. Hesthaven (CoRR, 2021)

Model order reduction for bifurcating phenomena in Fluid-Structure Interaction problems. - Moaad Khamlich; Federico Pichi; Gianluigi Rozza (CoRR, 2021)

Reduced order models for the buckling of hyperelastic beams. - Federico Pichi; Gianluigi Rozza (CoRR, 2023)

Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel. - Moaad Khamlich; Federico Pichi; Gianluigi Rozza (CoRR, 2023)

A stochastic perturbation approach to nonlinear bifurcating problems. - Isabella Carla Gonnella; Moaad Khamlich; Federico Pichi; Gianluigi Rozza (CoRR, 2024)

Neural empirical interpolation method for nonlinear model reduction. - Max Hirsch; Federico Pichi; Jan S. Hesthaven (CoRR, 2024)

GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications. - Oisín M. Morrison; Federico Pichi; Jan S. Hesthaven (CoRR, 2024)

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs. - Federico Pichi; Beatriz Moya; Jan S. Hesthaven (J. Comput. Phys., 2024)

Projection-based reduced order modelling for unsteady parametrized optimal control problems in 3D cardiovascular flows. - Surabhi Rathore; Pasquale Claudio Africa; Francesco Ballarin; Federico Pichi; Michele Girfoglio; Gianluigi Rozza (Comput. Methods Programs Biomed., 2025)

Deflation-based certified greedy algorithm and adaptivity for bifurcating nonlinear PDEs. - Federico Pichi; Maria Strazzullo (Commun. Nonlinear Sci. Numer. Simul., 2025)

Optimal transport-based displacement interpolation with data augmentation for reduced order modeling of nonlinear dynamical systems. - Moaad Khamlich; Federico Pichi; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (J. Comput. Phys., 2025)

Optimal Transport-Inspired Deep Learning Framework for Slow-Decaying Kolmogorov ({n} )-Width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel. - Moaad Khamlich; Federico Pichi; Gianluigi Rozza (SIAM J. Sci. Comput., 2025)

Nonlinear reduction strategies for data compression: a comprehensive comparison from diffusion to advection problems. - Isabella Carla Gonnella; Federico Pichi; Gianluigi Rozza (CoRR, 2025)

Sparse Identification for bifurcating phenomena in Computational Fluid Dynamics. - Lorenzo Tomada; Moaad Khamlich; Federico Pichi; Gianluigi Rozza (CoRR, 2025)