Conference Paper/Proceeding/Abstract 5 views
Diffusion models and stochastic quantisation in lattice field theory
,
Lingxiao Wang,
Kai Zhou
Proceedings of The 41st International Symposium on Lattice Field Theory — PoS(LATTICE2024), Volume: 466, Start page: 037
Swansea University Author:
Gert Aarts
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DOI (Published version): 10.22323/1.466.0037
Abstract
Diffusion models are currently the leading generative AI approach used for image generation in e.g. DALL-E and Stable Diffusion. In this talk we relate diffusion models to stochastic quantisation in field theory and employ it to generate configurations for scalar fields on a two-dimensional lattice....
| Published in: | Proceedings of The 41st International Symposium on Lattice Field Theory — PoS(LATTICE2024) |
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| ISSN: | 1824-8039 |
| Published: |
Trieste, Italy
Sissa Medialab
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69012 |
| Abstract: |
Diffusion models are currently the leading generative AI approach used for image generation in e.g. DALL-E and Stable Diffusion. In this talk we relate diffusion models to stochastic quantisation in field theory and employ it to generate configurations for scalar fields on a two-dimensional lattice. We end with some speculations on possible applications. |
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| College: |
Faculty of Science and Engineering |
| Funders: |
GA is supported by STFC Consolidated Grant ST/X000648/1. LW thanks the DEEP-IN working group at RIKEN-iTHEMS for support. KZ is supported by the CUHK-Shenzhen University development fund under grant No. UDF01003041 and UDF03003041, and Shenzhen Peacock fund under No. 2023TC0179. |
| Start Page: |
037 |