Mathematics > Numerical Analysis
[Submitted on 25 Dec 2022]
Title:FMM-Net: neural network architecture based on the Fast Multipole Method
View PDFAbstract:In this paper, we propose a new neural network architecture based on the H2 matrix. Even though networks with H2-inspired architecture already exist, and our approach is designed to reduce memory costs and improve performance by taking into account the sparsity template of the H2 matrix. In numerical comparison with alternative neural networks, including the known H2-based ones, our architecture showed itself as beneficial in terms of performance, memory, and scalability.
Submission history
From: Daria Sushnikova [view email][v1] Sun, 25 Dec 2022 13:08:09 UTC (1,390 KB)
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