Moreno Pintore

Orcid: 0000-0002-2837-2792

According to our database1, Moreno Pintore authored at least 8 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Meshfree Variational-Physics-Informed Neural Networks (MF-VPINN): An Adaptive Training Strategy.
Algorithms, September, 2024

Computable Lipschitz Bounds for Deep Neural Networks.
CoRR, 2024

The lowest-order Neural Approximated Virtual Element Method on polygonal elements.
CoRR, 2024

2023
The lowest-order Neural Approximated Virtual Element Method.
CoRR, 2023

2022
Variational Physics Informed Neural Networks: the Role of Quadratures and Test Functions.
J. Sci. Comput., 2022

Enforcing Dirichlet boundary conditions in physics-informed neural networks and variational physics-informed neural networks.
CoRR, 2022

Solving PDEs by Variational Physics-Informed Neural Networks: an a posteriori error analysis.
CoRR, 2022

2021
Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method.
Adv. Comput. Math., 2021


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