<div class="csl-bib-body">
<div class="csl-entry">Ipp, A., Holland, K., Müller, D. I., & Wenger, U. (2024, July 16). <i>Machine learning fixed point actions with lattice gauge equivariant convolutional neural networks</i> [Presentation]. HAL QCD Collaboration Meeting 2024, RIKEN Wako, Tokio, Japan. http://hdl.handle.net/20.500.12708/208965</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/208965
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dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.subject
Machine Learning
en
dc.subject
Lattice Gauge Theory
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dc.title
Machine learning fixed point actions with lattice gauge equivariant convolutional neural networks
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dc.type
Presentation
en
dc.type
Vortrag
de
dc.contributor.affiliation
University of Bern, Switzerland
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dc.relation.grantno
P 32446-N27
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dc.relation.grantno
P 34764-N
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dc.relation.grantno
P 34455-N
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dc.type.category
Presentation
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tuw.publication.invited
invited
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tuw.project.title
Glasma-Simulationen mit maschinellem Lernen hochskalieren
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tuw.project.title
Simulation der frühesten Stadien von Schwerionenkollisionen