Zobrazeno 1 - 10
of 1 281
pro vyhledávání: '"WORSCHECH, A."'
Autor:
Worschech, Roman, Rosenow, Bernd
Neural scaling laws describe how the performance of deep neural networks scales with key factors such as training data size, model complexity, and training time, often following power-law behaviors over multiple orders of magnitude. Despite their emp
Externí odkaz:
http://arxiv.org/abs/2410.09005
Autor:
Worschech, Roman, Rosenow, Bernd
Deep neural networks are widely used prediction algorithms whose performance often improves as the number of weights increases, leading to over-parametrization. We consider a two-layered neural network whose first layer is frozen while the last layer
Externí odkaz:
http://arxiv.org/abs/2303.14083
Autor:
Hamm, Prisca, Beckmann, Denise, Worschech, Rafael, Braun, Alexandra, Gutmann, Marcus, Korb-Pap, Adelheid, Lühmann, Tessa, Pap, Thomas, Meinel, Lorenz
Publikováno v:
In European Journal of Pharmaceutics and Biopharmaceutics October 2024 203
Autor:
Kristin Jünemann, Anna Engels, Damien Marie, Florian Worschech, Daniel S. Scholz, Frédéric Grouiller, Matthias Kliegel, Dimitri Van De Ville, Eckart Altenmüller, Tillmann H. C. Krüger, Clara E. James, Christopher Sinke
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Learning to play an instrument at an advanced age may help to counteract or slow down age-related cognitive decline. However, studies investigating the neural underpinnings of these effects are still scarce. One way to investigate the effect
Externí odkaz:
https://doaj.org/article/796ec20b89614ffcb903a590f8c02164
Over-parametrized deep neural networks trained by stochastic gradient descent are successful in performing many tasks of practical relevance. One aspect of over-parametrization is the possibility that the student network has a larger expressivity tha
Externí odkaz:
http://arxiv.org/abs/2104.14546
Autor:
de Oliveira, E. R. Cardozo, Naranjo, A., Pfenning, A., Lopez-Richard, V., Marques, G. E., Worschech, L., Hartmann, F., Höfling, S., Teodoro, M. D.
Publikováno v:
Phys. Rev. Applied 15, 014042 (2021)
We study the magneto-transport and magneto-electroluminescence properties of purely n-doped GaAs/Al$_{0.6}$Ga$_{0.4}$As resonant tunneling diodes with an In$_{0.15}$Ga$_{0.85}$As quantum well and emitter prewell. Before the resonant current condition
Externí odkaz:
http://arxiv.org/abs/2007.11736
Akademický článek
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Akademický článek
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Autor:
Worschech, Florian1,2 (AUTHOR), Passarotto, Edoardo1,3 (AUTHOR), Losch, Hannah1,4 (AUTHOR), Oku, Takanori5,6 (AUTHOR), Lee, André1,2,7 (AUTHOR), Altenmüller, Eckart1,2 (AUTHOR) eckart.altenmueller@hmtm-hannover.de
Publikováno v:
Brain Sciences (2076-3425). Apr2024, Vol. 14 Issue 4, p405. 17p.
Autor:
Marie, Damien, Müller, Cécile A.H., Altenmüller, Eckart, Van De Ville, Dimitri, Jünemann, Kristin, Scholz, Daniel S., Krüger, Tillmann H.C., Worschech, Florian, Kliegel, Matthias, Sinke, Christopher, James, Clara E.
Publikováno v:
In Neuroimage: Reports June 2023 3(2)