Gianluca Fabiani

According to our database, Gianluca Fabiani authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks.

Hector Vargas Alvarez, Gianluca Fabiani, Ioannis G. Kevrekidis, Nikolaos Kazantzis, Constantinos I. Siettos

CoRR, 2024

Random Projection Neural Networks of Best Approximation: Convergence theory and practical applications.

Gianluca Fabiani

CoRR, 2024

2023

Discrete-time nonlinear feedback linearization via physics-informed machine learning.

Hector Vargas Alvarez, Gianluca Fabiani, Nikolaos Kazantzis, Constantinos I. Siettos, Ioannis G. Kevrekidis

J. Comput. Phys., November, 2023

Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points.

Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos I. Siettos, Ioannis G. Kevrekidis

CoRR, 2023

Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning.

Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos

CoRR, 2023

2022

Numerical Bifurcation Analysis of PDEs From Lattice Boltzmann Model Simulations: a Parsimonious Machine Learning Approach.

Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos, Ioannis G. Kevrekidis, Constantinos I. Siettos

J. Sci. Comput., 2022

Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs.

Gianluca Fabiani, Evangelos Galaris, Lucia Russo, Constantinos I. Siettos

CoRR, 2022

Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach.

Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos, Ioannis G. Kevrekidis, Constantinos I. Siettos

CoRR, 2022

2021

Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines.

Gianluca Fabiani, Francesco Calabrò, Lucia Russo, Constantinos I. Siettos

J. Sci. Comput., 2021

2020

Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients.

Francesco Calabrò, Gianluca Fabiani, Constantinos I. Siettos

CoRR, 2020