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Jih-Liang Hsieh
at Ecole Polytechnique Fédérale de Lausanne
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Publications (5)
Proceedings Article | 13 March 2024 Presentation
Local loss function based single pass training of optical neural networks
Proceedings Volume PC12903, PC129030L (2024) https://doi.org/10.1117/12.3001573
KEYWORDS: Education and training, Neural networks, Detection and tracking algorithms, Computer hardware, Optical fibers, Nonlinear optics, Error analysis, Computing systems, Complex systems, Channel projecting optics
SPIE Journal Paper | 25 January 2024 Open Access
Programming nonlinear propagation for efficient optical learning machines
AP, Vol. 6, Issue 01, 016002, (January 2024) https://doi.org/10.1117/12.10.1117/1.AP.6.1.016002
KEYWORDS: Computer programming, Education and training, Nonlinear optics, Wavefronts, Spatial light modulators, Artificial neural networks, Geometrical optics, Image classification, Mathematical optimization, Photonics
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Proceedings Article | 3 October 2022 Presentation
Computing with non-linear interactions in multimode fibers
Ilker Oguz, Jih-Liang Hsieh, Mustafa Yildirim, Demetri Psaltis, Christophe Moser
Proceedings Volume PC12228, PC122280E (2022) https://doi.org/10.1117/12.2633952
KEYWORDS: Multimode fibers, Geometrical optics, Nonlinear optics, Machine learning, Databases, Computer programming
Proceedings Article | 3 October 2022 Presentation
Programming nonlinearities inside multimode fibers for optical computing (Conference Presentation)
Proceedings Volume PC12225, PC1222501 (2022) https://doi.org/10.1117/12.2632627
KEYWORDS: Multimode fibers, Optical computing, Computer programming, Wavefronts, Nonlinear optics, Machine learning, Electro optical modeling, Transistors, Sensors, Semiconductor lasers
Proceedings Article | 9 March 2022 Presentation
Scalable nonlinear optical computing with multimode fibers
Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Jih-Liang Hsieh, Christophe Moser, Demetri Psaltis
Proceedings Volume PC12019, PC120190F (2022) https://doi.org/10.1117/12.2607726
KEYWORDS: Multimode fibers, Nonlinear optics, Neural networks, X-rays, X-ray optics, X-ray imaging, Picosecond phenomena, Optical signal processing, Optical computing, Machine learning
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