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pro vyhledávání: '"Lenaerts, Joeri"'
We here present a stepping stone towards a deeper understanding of convolutional neural networks (CNNs) in the form of a theory of learning in linear CNNs. Through analyzing the gradient descent equations, we discover that the evolution of the networ
Externí odkaz:
http://arxiv.org/abs/2303.02034
Optical devices lie at the heart of most of the technology we see around us. When one actually wants to make such an optical device, one can predict its optical behavior using computational simulations of Maxwell's equations. If one then asks what th
Externí odkaz:
http://arxiv.org/abs/2202.03578
Publikováno v:
Nanophotonics, Vol 10, Iss 1, Pp 385-392 (2020)
Machine learning offers the potential to revolutionize the inverse design of complex nanophotonic components. Here, we propose a novel variant of this formalism specifically suited for the design of resonant nanophotonic components. Typically, the fi
Externí odkaz:
https://doaj.org/article/9b7dfa7507cb49e08d31fc8dc360803f
Optical devices lie at the heart of most of the technology we see around us. When one actually wants to make such an optical device, one can predict its optical behavior using computational simulations of Maxwell's equations. If one then asks what th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14c018ae0270630b85315c2b3af3eca6
Akademický článek
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Publikováno v:
Proceedings of SPIE; October 2022, Vol. 12227 Issue: 1 p122270A-122270A-8, 1100439p
Publikováno v:
Proceedings of SPIE; March 2022, Vol. 12019 Issue: 1 p120190O-120190O-10, 11898821p
Publikováno v:
Proceedings of SPIE; 128/17/2021, Vol. 12019, p120190O-120190O-10, 1p