Nonlinear dimensionality reduction for low data regimes in photonics design

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1109/PN56061.2022.9908251
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Name affiliation
  1. National Research Council of Canada. Digital Technologies
  2. National Research Council of Canada. Advanced Electronics and Photonics
FunderSearch for: National Research Council Canada
FormatText, Article
Conference2022 Photonics North (PN), May 24-26, 2022, Niagara Falls, ON, Canada
Subjectdimensionality reduction; autoencoder; small data; nanophotonic design; silicon photonics; machine learning; dimensionality reduction; neural networks; photonics; principal component analysis
Abstract
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PublisherIEEE
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LanguageEnglish
Peer reviewedYes
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Record identifierc548520b-92e2-48da-af32-fc26a9d79d1c
Record created2022-10-25
Record modified2022-10-25
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