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Record link:
http://hdl.handle.net/20.500.12708/219212
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Title:
Fisher Information Flow in Artificial Neural Networks
en
Citation:
Weimar, M., Rachbauer, L. M., Starshynov, I., Faccio, D., Adilova, L., Bouchet, D., & Rotter, S. (2025). Fisher Information Flow in Artificial Neural Networks.
Physical Review X
,
15
(3), 1–17. https://doi.org/10.1103/kn3z-rmm8
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Publisher DOI:
10.1103/kn3z-rmm8
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Publication Type:
Article - Original Research Article
en
Language:
English
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Authors:
Weimar, Maximilian
Rachbauer, Lukas M.
Starshynov, Ilya
Faccio, Daniele
Adilova, Linara
Bouchet, Dorian
Rotter, Stefan
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Organisational Unit:
E136 - Institut für Theoretische Physik
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Journal:
Physical Review X
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ISSN:
2160-3308
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Date (published):
16-Sep-2025
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Number of Pages:
17
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Publisher:
AMER PHYSICAL SOC
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Peer reviewed:
Yes
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Keywords:
Fisher information; Artificial Neural Networks; Machine Learning
en
Research facilities:
Vienna Scientific Cluster
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Project title:
Metastrukturen für die Wellenkontrolle in komplexen Medien: PIN7240924 (FWF - Österr. Wissenschaftsfonds)
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Research Areas:
Photonics: 50%
Quantum Metrology and Precision Measurements: 50%
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Science Branch:
1030 - Physik, Astronomie: 100%
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Appears in Collections:
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