MGIC: Multigrid-in-Channels Neural Network Architectures

Author:

Eliasof Moshe1,Ephrath Jonathan2,Ruthotto Lars3ORCID,Treister Eran2ORCID

Affiliation:

1. Corresponding author. Computer Science Department, Ben-Gurion University of the Negev, Beer Sheva, 8410501, Israel.

2. Computer Science Department, Ben-Gurion University of the Negev, Beer Sheva, 8410501, Israel.

3. Departments of Mathematics and Computer Science, Emory University, Atlanta, GA 30322 USA.

Funder

Israel Innovation Authority

Kreitman High-tech scholarship

National Science Foundation

United States - Israel Binational Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MGiaD: Multigrid in all dimensions. Efficiency and robustness by weight sharing and coarsening in resolution and channel dimensions*;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

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