RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators

8 June 2024

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