Record link: 
http://hdl.handle.net/20.500.12708/219212
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Title: 
Fisher Information Flow in Artificial Neural Networks
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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
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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
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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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