Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks

27 May 2024

Papers citing "Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks"

10 / 10 papers shown

Title
Deep Compressed Learning for 3D Seismic Inversion Maayan Gelboim Amir Adler Yen Sun Mauricio Araya-Polo 3DPC 42 2 0 31 Oct 2023
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation using Compact Implicit Layers Bar Lerer Ido Ben-Yair Eran Treister AI4CE 55 3 0 30 Jun 2023
Implicit Full Waveform Inversion with Deep Neural Representation Jian Sun K. Innanen AI4CE 65 35 0 08 Sep 2022
Encoder-Decoder Architecture for 3D Seismic Inversion Maayan Gelboim A. Adler Yen Sun Mauricio Araya-Polo 3DV 40 10 0 29 Jul 2022
Mesh-free Eulerian Physics-Informed Neural Networks F. A. Torres M. Negri Monika Nagy-Huber M. Samarin Volker Roth PINN AI4CE 99 5 0 03 Jun 2022
Multigrid-augmented deep learning preconditioners for the Helmholtz equation Yael Azulay Eran Treister AI4CE 65 31 0 14 Mar 2022
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop Peng Jin Xitong Zhang Yinpeng Chen Sharon X. Huang Zicheng Liu Youzuo Lin 76 48 0 14 Oct 2021
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 237 10,249 0 27 Mar 2016
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 163 2,808 0 20 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 468 43,658 0 17 Sep 2014