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The Ethereal
Data-efficient Modeling of Optical Matrix Multipliers Using Transfer Learning
November 29, 2022 ยท Declared Dead ยท ๐ Conference on Lasers and Electro-Optics
"No code URL or promise found in abstract"
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Authors
Ali Cem, Ognjen Jovanovic, Siqi Yan, Yunhong Ding, Darko Zibar, Francesco Da Ros
arXiv ID
2211.16038
Category
cs.LG: Machine Learning
Cross-listed
cs.ET,
cs.NE
Citations
3
Venue
Conference on Lasers and Electro-Optics
Last Checked
4 months ago
Abstract
We demonstrate transfer learning-assisted neural network models for optical matrix multipliers with scarce measurement data. Our approach uses <10\% of experimental data needed for best performance and outperforms analytical models for a Mach-Zehnder interferometer mesh.
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