<div class="csl-bib-body">
<div class="csl-entry">Rotter, S. (2023, April 14). <i>Fisher information in scattering problems and neural networks</i> [Conference Presentation]. Machine Learning and (Quantum) Physics Workshop, Obergurgl, Austria. http://hdl.handle.net/20.500.12708/176580</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/176580
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dc.description.abstract
In my talk, I will discuss recent progress in applying the concept of Fisher information to the problem of estimating system parameters in complex scattering environments, such as inside or behind a disordered medium [1,2,3]. We have recently realised that such tools can also be successfully applied to artificial neural networks, in particular to define the performance limit of a network in extracting information from a complex system.
[1] Maximum information states for coherent scattering measurements, D. Bouchet, S. Rotter, and A. P. Mosk, Nature Physics 17, 564 (2021).
[2] Optimal control of coherent light scattering for binary decision problems, D. Bouchet, L. M. Rachbauer, S. Rotter, A. P. Mosk, and E. Bossy, Phys. Rev. Lett. 127, 253902 (2021).
[3] Invariance property of the Fisher information in scattering media, M. Horodynski, D. Bouchet, M. Kühmayer, and S. Rotter, Phys. Rev. Lett. 127, 233201 (2021).
en
dc.description.sponsorship
FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.subject
Machine Learning
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dc.subject
Fisher Information
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dc.subject
Scattering
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dc.title
Fisher information in scattering problems and neural networks
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dc.type
Presentation
en
dc.type
Vortrag
de
dc.relation.grantno
P 32300-N27
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dc.type.category
Conference Presentation
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tuw.publication.invited
invited
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tuw.project.title
Wellenkontrolle in Systemen mit Absorption und Unordnung
