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Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D
  Cases

Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases

18 December 2021
Tao Shan
Zhichao Lin
Xiaoqian Song
Maokun Li
Fan Yang
Zhensheng Xu
ArXivPDFHTML

Papers citing "Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases"

5 / 5 papers shown
Title
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse
  Scattering Problems
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems
Daoqi Liu
Tao Shan
Maokun Li
Fan Yang
Shenheng Xu
26
1
0
02 Sep 2024
VBIM-Net: Variational Born Iterative Network for Inverse Scattering Problems
VBIM-Net: Variational Born Iterative Network for Inverse Scattering Problems
Ziqing Xing
Zhaoyang Zhang
Zirui Chen
Yusong Wang
Haoran Ma
Zhun Wei
19
2
0
29 May 2024
Deep Injective Prior for Inverse Scattering
Deep Injective Prior for Inverse Scattering
AmirEhsan Khorashadizadeh
Vahid Khorashadi-Zadeh
Sepehr Eskandari
Guy A. E. Vandenbosch
Ivan Dokmanić
26
7
0
08 Jan 2023
Physics Embedded Machine Learning for Electromagnetic Data Imaging
Physics Embedded Machine Learning for Electromagnetic Data Imaging
Rui Guo
Tianyao Huang
Maokun Li
Hai-Feng Zhang
Yonina C. Eldar
MedIm
AI4CE
27
38
0
26 Jul 2022
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
244
350
0
14 Jun 2018
1