Record link: 
http://hdl.handle.net/20.500.12708/208963
-
Title: 
Fixed point actions from lattice gauge equivariant convolutional neural networks
en
Citation: 
Ipp, A., Holland, K., Müller, D. I., & Wenger, U. (2024, April 19). Fixed point actions from lattice gauge equivariant convolutional neural networks [Conference Presentation]. Bridging scales: At the crossroads among renormalisation group, multi-scale modelling, and deep learning 2024, ECT* Trento, Italy. http://hdl.handle.net/20.500.12708/208963
-
Publication Type: 
Presentation - Conference Presentation
en
Language: 
English
-
Authors: 
Ipp, Andreas 
Holland, Kieran 
Müller, David I. 
Wenger, Urs 
-
Organisational Unit: 
E136 - Institut für Theoretische Physik 
-
Date (published): 
19-Apr-2024
-
Event name: 
Bridging scales: At the crossroads among renormalisation group, multi-scale modelling, and deep learning 2024 
en
Event date: 
15-Apr-2024 - 19-Apr-2024
-
Event place: 
ECT* Trento, Italy
-
Keywords: 
Machine Learning; Lattice Gauge Theory
en
Research facilities: 
Vienna Scientific Cluster 
-
Project title: 
Glasma-Simulationen mit maschinellem Lernen hochskalieren: P 32446-N27 (FWF - Österr. Wissenschaftsfonds) 
Simulation der frühesten Stadien von Schwerionenkollisionen: P 34764-N (FWF - Österr. Wissenschaftsfonds) 
Nichtperturbative Eigenschaften evolvierenden gluonischer Plasmen: P 34455-N (FWF - Österr. Wissenschaftsfonds) 
-
Research Areas: 
Quantum Modeling and Simulation: 60%
Modeling and Simulation: 40%
-
Science Branch: 
1020 - Informatik: 40%
1030 - Physik, Astronomie: 60%
-
Appears in Collections:
Presentation

Show full item record

Google ScholarTM

Check