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2406.05470
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RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators
8 June 2024
Gianluca Fabiani
Ioannis G. Kevrekidis
Constantinos Siettos
A. Yannacopoulos
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Papers citing
"RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators"
6 / 6 papers shown
Title
Rapid training of Hamiltonian graph networks without gradient descent
Atamert Rahma
Chinmay Datar
Ana Cukarska
Felix Dietrich
AI4CE
29
0
0
06 Jun 2025
Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
Gianluca Fabiani
H. Vandecasteele
S. Goswami
Constantinos Siettos
Ioannis G. Kevrekidis
455
1
0
05 May 2025
GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws
Dimitrios G. Patsatzis
Mario di Bernardo
L. Russo
Constantinos Siettos
AI4CE
50
2
0
29 Oct 2024
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Madison Cooley
Varun Shankar
Robert M. Kirby
Shandian Zhe
110
2
0
04 Oct 2024
Stability Analysis of Physics-Informed Neural Networks for Stiff Linear Differential Equations
Gianluca Fabiani
Erik Bollt
Constantinos Siettos
A. Yannacopoulos
67
1
0
27 Aug 2024
Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology
Mario De Florio
Zongren Zou
Daniele E. Schiavazzi
George Karniadakis
56
4
0
13 Aug 2024
1