<div class="csl-bib-body">
<div class="csl-entry">Ranner, T., Ipp, A., & Müller, D. (2025, August 21). <i>Sampling lattice field theories with diffusion models</i> [Conference Presentation]. Joint Annual Meeting of the Austrian and Swiss Physical Society (ÖPG and SPS 2025), Wien, Austria. https://doi.org/10.34726/11418</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/221478
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dc.identifier.uri
https://doi.org/10.34726/11418
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dc.description.abstract
I will present my work on the application of generative diffusion models in lattice field theory, a non-perturbative approach to quantum field theory. Diffusion models are a class of generative machine learning models which utilize stochastic processes to draw high-dimensional data from complex probability distributions. While they were introduced mainly for image-generation, they can be applied to a wide range of problems, including lattice field theory. We utilize them to draw field configurations of scalar and U(1) pure gauge lattice field theories. I will discuss the generative performance of the model, the main caveat of this method, and the physical interpretation of the trained neural network. Further, I will talk about the connection between diffusion models and renormalization group transformations.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
lattice field theory
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dc.subject
diffusion model
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dc.subject
lattice gauge theory
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dc.title
Sampling lattice field theories with diffusion models
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dc.type
Presentation
en
dc.type
Vortrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.identifier.doi
10.34726/11418
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dc.relation.grantno
PAT3667424
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dc.type.category
Conference Presentation
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tuw.project.title
Maschinelles Lernen mit Renormierungsgruppe für Gitter QCD
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tuw.researchTopic.id
C6
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E136 - Institut für Theoretische Physik
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tuw.author.orcid
0009-0002-0740-0632
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tuw.author.orcid
0000-0001-9511-3523
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tuw.author.orcid
0000-0002-8163-7614
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dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
tuw.event.name
Joint Annual Meeting of the Austrian and Swiss Physical Society (ÖPG and SPS 2025)
