Record link: 
http://hdl.handle.net/20.500.12708/225565
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Title: 
Machine Learning Fixed-Point Actions for Lattice Gauge Theory
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Citation: 
Ipp, A., Holland, K., Müller, D., & Wenger, U. (2025, September 3). Machine Learning Fixed-Point Actions for Lattice Gauge Theory [Conference Presentation]. 840. Wilhelm and Else Heraeus Seminar on Real-Time and Non-Equilibrium Quantum Field Theory, Oberwöluz, Austria.
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Ipp, Andreas 
Holland, Kieran 
Müller, David 
Wenger, Urs 
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Organisational Unit: 
E136 - Institut für Theoretische Physik 
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Date (published): 
3-Sep-2025
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Event name: 
840. Wilhelm and Else Heraeus Seminar on Real-Time and Non-Equilibrium Quantum Field Theory 
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Event date: 
31-Aug-2025 - 5-Sep-2025
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Event place: 
Oberwöluz, Austria
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Keywords: 
Lattice Gauge Theory; Machine Learning
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Research facilities: 
Vienna Scientific Cluster 
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Project title: 
Maschinelles Lernen mit Renormierungsgruppe für Gitter QCD: PAT3667424 (FWF - Österr. Wissenschaftsfonds) 
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Research Areas: 
Quantum Modeling and Simulation: 60%
Computer Science Foundations: 40%
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Science Branch: 
1020 - Informatik: 40%
1030 - Physik, Astronomie: 60%
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