GaborPINN: Efficient physics informed neural networks using multiplicative filtered networks

10 August 2023

Papers citing "GaborPINN: Efficient physics informed neural networks using multiplicative filtered networks"

7 / 7 papers shown

Title
Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations Mohammad Mahdi Abedi David Pardo Tariq Alkhalifah 17 0 0 23 Apr 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
Physics-informed neural wavefields with Gabor basis functions T. Alkhalifah Xinquan Huang 16 12 0 16 Oct 2023
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator Bian Li Hanchen Wang Shihang Feng Xiu Yang Youzuo Lin 60 32 0 25 Sep 2022
PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting Xinquan Huang T. Alkhalifah 21 45 0 29 Sep 2021
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations Benjamin Moseley Andrew Markham T. Nissen‐Meyer PINN 37 206 0 16 Jul 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 197 2,254 0 18 Oct 2020