Unsupervised Reservoir Computing for Solving Ordinary Differential Equations

25 August 2021

Papers citing "Unsupervised Reservoir Computing for Solving Ordinary Differential Equations"

13 / 13 papers shown

Title
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence Moein Darman P. Hassanzadeh Laure Zanna A. Chattopadhyay 25 0 0 21 Apr 2025
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws Liu Yang Stanley J. Osher AI4CE 45 18 0 14 Jan 2024
Unsupervised Random Quantum Networks for PDEs Josh Dees Antoine Jacquier Sylvain Laizet 21 2 0 21 Dec 2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior Shashank Subramanian P. Harrington Kurt Keutzer W. Bhimji Dmitriy Morozov Michael W. Mahoney A. Gholami AI4CE 17 71 0 01 Jun 2023
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows Raphael Pellegrin Blake Bullwinkel M. Mattheakis P. Protopapas PINN AI4CE 26 9 0 01 Nov 2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks Blake Bullwinkel Dylan Randle P. Protopapas David Sondak 24 3 0 15 Sep 2022
RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization H. Joy M. Mattheakis P. Protopapas 22 8 0 12 Jul 2022
Physics-Informed Neural Networks for Quantum Eigenvalue Problems Henry Jin M. Mattheakis P. Protopapas 14 34 0 24 Feb 2022
Uncertainty Quantification in Neural Differential Equations Olga Graf P. Flores P. Protopapas K. Pichara UQCV AI4CE 24 7 0 08 Nov 2021
One-Shot Transfer Learning of Physics-Informed Neural Networks Shaan Desai M. Mattheakis H. Joy P. Protopapas Stephen J. Roberts PINN AI4CE 16 58 0 21 Oct 2021
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data D. Canaday Andrew Pomerance M. Girvan AI4TS 23 1 0 07 Oct 2021
$NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework$ NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework O. Hennigh S. Narasimhan M. A. Nabian Akshay Subramaniam Kaustubh Tangsali M. Rietmann J. Ferrandis Wonmin Byeon Z. Fang S. Choudhry PINN AI4CE 93 126 0 14 Dec 2020
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 86 109 0 20 Oct 2020