Moreno Pintore

According to our database, Moreno Pintore authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Two continuous extensions of the Neural Approximated Virtual Element Method.

Stefano Berrone, Moreno Pintore, Gioana Teora

CoRR, January, 2026

A Posteriori Lipschitz Bounds for Deep Neural Networks.

Moreno Pintore, Bruno Després

SIAM J. Numer. Anal., 2026

2025

The Zipped Finite Element Method: High-order Shape Functions for Polygons.

Stefano Berrone, Lorenzo Neva, Moreno Pintore, Gioana Teora, Fabio Vicini

CoRR, November, 2025

The Neural Approximated Virtual Element Method for Elasticity Problems.

Stefano Berrone, Moreno Pintore, Gioana Teora

CoRR, July, 2025

A 3D Machine Learning based Volume Of Fluid scheme without explicit interface reconstruction.

Moreno Pintore, Bruno Després

CoRR, July, 2025

2024

Meshfree Variational-Physics-Informed Neural Networks (MF-VPINN): An Adaptive Training Strategy.

Stefano Berrone, Moreno Pintore

Algorithms, September, 2024

Computable Lipschitz Bounds for Deep Neural Networks.

Moreno Pintore, Bruno Després

CoRR, 2024

The lowest-order Neural Approximated Virtual Element Method on polygonal elements.

Stefano Berrone, Moreno Pintore, Gioana Teora

CoRR, 2024

2023

The lowest-order Neural Approximated Virtual Element Method.

Stefano Berrone, Davide Oberto, Moreno Pintore, Gioana Teora

CoRR, 2023

2022

Variational Physics Informed Neural Networks: the Role of Quadratures and Test Functions.

Stefano Berrone, Claudio Canuto, Moreno Pintore

J. Sci. Comput., 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

Solving PDEs by Variational Physics-Informed Neural Networks: an a posteriori error analysis.

Stefano Berrone, Claudio Canuto, Moreno Pintore

CoRR, 2022

2021

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