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2020 – today
- 2024
[j3]Stefano Berrone, Moreno Pintore:
Meshfree Variational-Physics-Informed Neural Networks (MF-VPINN): An Adaptive Training Strategy. Algorithms 17(9): 415 (2024)- [i7]Stefano Berrone, Moreno Pintore:
Meshfree Variational Physics Informed Neural Networks (MF-VPINN): an adaptive training strategy. CoRR abs/2406.19831 (2024) - [i6]Stefano Berrone, Moreno Pintore, Gioana Teora:
The lowest-order Neural Approximated Virtual Element Method on polygonal elements. CoRR abs/2409.15917 (2024) - 2023
- [i5]Stefano Berrone, Davide Oberto, Moreno Pintore, Gioana Teora:
The lowest-order Neural Approximated Virtual Element Method. CoRR abs/2311.18534 (2023) - 2022
- [j2]Stefano Berrone, Claudio Canuto, Moreno Pintore
:
Variational Physics Informed Neural Networks: the Role of Quadratures and Test Functions. J. Sci. Comput. 92(3): 100 (2022) - [i4]Stefano Berrone, Claudio Canuto, Moreno Pintore:
Solving PDEs by Variational Physics-Informed Neural Networks: an a posteriori error analysis. CoRR abs/2205.00786 (2022) - [i3]Stefano Berrone, Claudio Canuto, Moreno Pintore, N. Sukumar:
Enforcing Dirichlet boundary conditions in physics-informed neural networks and variational physics-informed neural networks. CoRR abs/2210.14795 (2022) - 2021
- [j1]Moreno Pintore, Federico Pichi, Martin W. Hess, Gianluigi Rozza, Claudio Canuto:
Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. Adv. Comput. Math. 47(1): 1 (2021) - [i2]Stefano Berrone, Claudio Canuto, Moreno Pintore:
Variational Physics Informed Neural Networks: the role of quadratures and test functions. CoRR abs/2109.02035 (2021)
2010 – 2019
- 2019
- [i1]Moreno Pintore, Federico Pichi, Martin W. Hess, Gianluigi Rozza, Claudio Canuto:
Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. CoRR abs/1912.06089 (2019)
Coauthor Index
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