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)

Solving PDEs by Variational Physics-Informed Neural Networks: an a posteriori error analysis. - Stefano Berrone; Claudio Canuto; Moreno Pintore (CoRR, 2022)

Enforcing Dirichlet boundary conditions in physics-informed neural networks and variational physics-informed neural networks. - Stefano Berrone; Claudio Canuto; Moreno Pintore; N. Sukumar (CoRR, 2022)

Variational Physics Informed Neural Networks: the Role of Quadratures and Test Functions. - Stefano Berrone; Claudio Canuto; Moreno Pintore (J. Sci. Comput., 2022)

The lowest-order Neural Approximated Virtual Element Method. - Stefano Berrone; Davide Oberto; Moreno Pintore; Gioana Teora (CoRR, 2023)

The lowest-order Neural Approximated Virtual Element Method on polygonal elements. - Stefano Berrone; Moreno Pintore; Gioana Teora (CoRR, 2024)

Computable Lipschitz Bounds for Deep Neural Networks. - Moreno Pintore; Bruno Després (CoRR, 2024)

Meshfree Variational-Physics-Informed Neural Networks (MF-VPINN): An Adaptive Training Strategy. - Stefano Berrone; Moreno Pintore (Algorithms, 2024)

A 3D Machine Learning based Volume Of Fluid scheme without explicit interface reconstruction. - Moreno Pintore; Bruno Després (CoRR, 2025)

The Neural Approximated Virtual Element Method for Elasticity Problems. - Stefano Berrone; Moreno Pintore; Gioana Teora (CoRR, 2025)