SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition

16 November 2022

Papers citing "SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition"

9 / 9 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 22 0 0 21 Apr 2025
Adaptive Physics-informed Neural Networks: A Survey Edgar Torres Jonathan Schiefer Mathias Niepert PINN AI4CE 60 0 0 23 Mar 2025
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation Yizheng Wang Jinshuai Bai M. Eshaghi C. Anitescu X. Zhuang Timon Rabczuk Yinghua Liu AI4CE 44 1 0 02 Feb 2025
Parameterized Physics-informed Neural Networks for Parameterized PDEs Woojin Cho Minju Jo Haksoo Lim Kookjin Lee Dongeun Lee Sanghyun Hong Noseong Park PINN AI4CE 22 15 1 18 Aug 2024
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws Liu Yang Stanley J. Osher AI4CE 40 18 0 14 Jan 2024
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks Woojin Cho Kookjin Lee Donsub Rim Noseong Park AI4CE PINN 10 16 0 14 Oct 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 68 0 01 Jun 2023
Simulation and Prediction of Countercurrent Spontaneous Imbibition at Early and Late Times Using Physics-Informed Neural Networks J. Abbasi P. Andersen PINN 14 4 0 06 May 2023
Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains Ali Harandi Ahmad Moeineddin Michael Kaliske Stefanie Reese Shahed Rezaei AI4CE PINN 18 42 0 09 Feb 2023