<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>
</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
en
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
en
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
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tuw.researchinfrastructure
Vienna Scientific Cluster
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tuw.researchTopic.id
Q1
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tuw.researchTopic.id
Q42
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tuw.researchTopic.name
Photonics
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
50
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tuw.researchTopic.value
50
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tuw.linking
https://ml23-obergurgl.conf.tuwien.ac.at
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tuw.publication.orgunit
E136 - Institut für Theoretische Physik
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tuw.author.orcid
0000-0002-4123-1417
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tuw.event.name
Machine Learning and (Quantum) Physics Workshop
en
tuw.event.startdate
09-04-2023
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tuw.event.enddate
15-04-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Obergurgl
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tuw.event.country
AT
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tuw.event.presenter
Rotter, Stefan
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tuw.event.track
Single Track
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wb.sciencebranch
Informatik
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wb.sciencebranch
Physik, Astronomie
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1030
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wb.sciencebranch.value
20
-
wb.sciencebranch.value
80
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item.languageiso639-1
en
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item.cerifentitytype
Publications
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item.cerifentitytype
Publications
-
item.fulltext
no Fulltext
-
item.openairetype
Presentation
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item.openairetype
Vortrag
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.grantfulltext
none
-
crisitem.author.dept
E136 - Institut für Theoretische Physik
-
crisitem.author.orcid
0000-0002-4123-1417
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crisitem.author.parentorg
E130 - Fakultät für Physik
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crisitem.project.funder
FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)