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Gianluca Fabiani
Gianluca Fabiani
Ph.D. Student, Scuola Superiore Meridionale, Napoli & Visiting student, Johns Hopkins University
Verified email at unina.it - Homepage
Title
Cited by
Cited by
Year
Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients
F Calabrò, G Fabiani, C Siettos
Computer Methods in Applied Mechanics and Engineering 387, 114188, 2021
412021
Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines
G Fabiani, F Calabrò, L Russo, C Siettos
Journal of Scientific Computing 89 (44), 2021
332021
Numerical bifurcation analysis of pdes from lattice Boltzmann model simulations: a parsimonious machine learning approach
E Galaris, G Fabiani, I Gallos, I Kevrekidis, C Siettos
Journal of Scientific Computing 92 (2), 34, 2022
202022
Parsimonious physics-informed random projection neural networks for initial value problems of ODEs and index-1 DAEs
G Fabiani, E Galaris, L Russo, C Siettos
Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (4), 2023
122023
Tasks makyth models: Machine learning assisted surrogates for tipping points
G Fabiani, N Evangelou, T Cui, JM Bello-Rivas, CP Martin-Linares, ...
arXiv preprint arXiv:2309.14334, 2023
32023
Slow invariant manifolds of singularly perturbed systems via physics-informed machine learning
DG Patsatzis, G Fabiani, L Russo, C Siettos
arXiv preprint arXiv:2309.07946, 2023
32023
Discrete-time nonlinear feedback linearization via physics-informed machine learning
H Vargas Alvarez, G Fabiani, N Kazantzis, C Siettos, IG Kevrekidis
Journal of Computational Physics 492, 112408, 2023
22023
Numerical solution of stiff ODEs with physics-informed RPNNs
E Galaris, G Fabiani, F Calabrò, D di Serafino, C Siettos
arXiv preprint arXiv:2108.01584, 2021
12021
Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks
HV Alvarez, G Fabiani, IG Kevrekidis, N Kazantzis, C Siettos
arXiv preprint arXiv:2402.12360, 2024
2024
Random Projection Neural Networks of Best Approximation: Convergence theory and practical applications
G Fabiani
arXiv preprint arXiv:2402.11397, 2024
2024
Data-Driven Bifurcation Diagrams for Neural (Integro-) Differential Equations
G Fabiani, N Evangelou, T Cui, DG Giovanis, IG Kevrekidis
2023 AIChE Annual Meeting, 2023
2023
Tipping points in overturning circulation mediated by ocean mixing and the configuration and magnitude of the hydrological cycle: A simple model
A Gnanadesikan, G Fabiani, J Liu, R Gelderloos, GJ Brett, Y Kevrekidis, ...
arXiv preprint arXiv:2308.03951, 2023
2023
Machine Learning-Based Coarse-Scale Identification and Bifurcation Analysis for Modelling Tipping Points: a Financial Market Agent-Based Illustration
G Fabiani, N Evangelou, T Cui, JM Bello-Rivas, C Martinez-Linares, ...
AAAI 2023 Spring Symposium Series ACTD Submission, 2023
2023
Numerical solution of stiff ODEs and DAEs with Adaptive Physics-Informed Random Projection Neural Networks
G Fabiani, L Russo, C Siettos
Numerical Computations: Theory and Algorithms NUMTA 2023, 94, 2023
2023
Numerical Approximation of Invariant Manifolds for Singularly Perturbed Systems with Machine Learning
D Patsatzis, G Fabiani, L Russo, C Siettos
Numerical Computations: Theory and Algorithms NUMTA 2023, 162, 2023
2023
Modeling Tipping Points in the Reduced-Order Stochastic Dynamics of a Population of Interacting Agents
CM Linares, T Cui, G Fabiani, N Evangelou, C Siettos, IG Kevrekidis
2022 AIChE Annual Meeting, 2022
2022
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach
E Galaris, G Fabiani, I Gallos, I Kevrekidis, C Siettos
arXiv preprint arXiv:2201.13323, 2022
2022
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