| DOI | Resolve DOI: https://doi.org/10.1109/PN62551.2024.10621802 |
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| Author | Search for: Grinberg, Y.1ORCID identifier: https://orcid.org/0000-0003-3349-1590; Search for: Xu, D.-X.2ORCID identifier: https://orcid.org/0000-0002-0490-5224; Search for: Al-Digeil, M.1; Search for: Melati, D.; Search for: Hunter, R. F. H.; Search for: Walker, A. W.2ORCID identifier: https://orcid.org/0000-0002-1791-2140; Search for: Forcade, G. P.; Search for: Krich, J. J.; Search for: Hinzer, K.; Search for: Masnad, M. M.; Search for: Liboiron-Ladoceur, O.; Search for: Cheben, P.2ORCID identifier: https://orcid.org/0000-0003-4232-9130; Search for: Schmid, J. H.2; Search for: Janz, S.2 |
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| Affiliation | - National Research Council Canada. Digital Technologies
- National Research Council Canada. Quantum and Nanotechnologies
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| Format | Text, Abstract |
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| Conference | 2024 Photonics North (PN), May 28-30, 2024, Vancouver, British Columbia, Canada |
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| Physical description | 1 p. |
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| Subject | dimensionality reduction; autoencoders; photonic component design; silicon photonics; photonic power converters; machine learning |
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| Abstract | Dimensionality reduction (DR) has been an integral part of exploratory data analysis and feature selection in a multitude of machine learning applications. In particular, it has shown to be useful in multi-parameter photonics design problems where the objective function landscape offers a range of optimized designs. This talk will cover several recent advances in the methodology as well new design applications. Progress on sampling from data-efficient non-linear DR techniques will be presented, along with a method to reduce the computational load of data collection incurred by high fidelity solvers. New design problems in integrated silicon photonics as well as multijunction photonic power converters will be presented as the study cases. |
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| Publication date | 2024-08-14 |
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| Publisher | IEEE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 58333d54-8144-41de-9ba4-3247bc71132c |
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| Record created | 2024-08-28 |
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| Record modified | 2024-08-30 |
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