Gianluca Fabiani
Orcid: 0000-0002-9799-451X
According to our database1,
Gianluca Fabiani
authored at least 13 papers
between 2020 and 2025.
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Bibliography
2025
RandONets: Shallow networks with random projections for learning linear and nonlinear operators.
J. Comput. Phys., 2025
2024
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning.
SIAM J. Sci. Comput., 2024
Stability Analysis of Physics-Informed Neural Networks for Stiff Linear Differential Equations.
CoRR, 2024
RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators.
CoRR, 2024
Random Projection Neural Networks of Best Approximation: Convergence theory and practical applications.
CoRR, 2024
2023
Discrete-time nonlinear feedback linearization via physics-informed machine learning.
J. Comput. Phys., November, 2023
CoRR, 2023
2022
Numerical Bifurcation Analysis of PDEs From Lattice Boltzmann Model Simulations: a Parsimonious Machine Learning Approach.
J. Sci. Comput., 2022
Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs.
CoRR, 2022
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach.
CoRR, 2022
2021
Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines.
J. Sci. Comput., 2021
2020
Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients.
CoRR, 2020