Improving physics-informed neural networks with meta-learned optimization

13 March 2023

Papers citing "Improving physics-informed neural networks with meta-learned optimization"

14 / 14 papers shown

Title
Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations Mohammad Mahdi Abedi David Pardo Tariq Alkhalifah 19 0 0 23 Apr 2025
Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks D. Veerababu Prasanta K. Ghosh 63 0 0 26 Mar 2025
Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields Mohammad Mahdi Abedi David Pardo Tariq Alkhalifah 43 1 0 24 Feb 2025
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods Lise Le Boudec Emmanuel de Bezenac Louis Serrano Ramon Daniel Regueiro-Espino Yuan Yin Patrick Gallinari AI4CE 23 2 0 09 Oct 2024
PinnDE: Physics-Informed Neural Networks for Solving Differential Equations Jason Matthews Alex Bihlo PINN 24 0 0 19 Aug 2024
Unveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be? Jorge F. Urbán P. Stefanou José A. Pons PINN 16 6 0 07 May 2024
Architectural Strategies for the optimization of Physics-Informed Neural Networks Hemanth Saratchandran Shin-Fang Chng Simon Lucey AI4CE 15 0 0 05 Feb 2024
Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems E. Cardoso-Bihlo Alex Bihlo AI4CE PINN 25 4 0 23 Nov 2023
Improving physics-informed DeepONets with hard constraints Rudiger Brecht D. Popovych Alexander Bihlo R. Popovych AI4CE 11 8 0 14 Sep 2023
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing Milad Ramezankhani A. Milani PINN 8 4 0 12 Aug 2023
M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts Rudiger Brecht Alexander Bihlo 12 5 0 18 Apr 2023
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 36 22 0 22 Sep 2022
Meta-learning PINN loss functions Apostolos F. Psaros Kenji Kawaguchi George Karniadakis PINN 25 96 0 12 Jul 2021
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 107 503 0 11 Mar 2020