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hep-lat2024
Diffusion models learn distributions generated by complex Langevin dynamics
Diaa E. Habibi, Gert Aarts, Lingxiao Wang +1
The probability distribution effectively sampled by a complex Langevin process for theories with a sign problem is not known a priori and notoriously hard to understand. Diffusion…
hep-lat2024★ 7 cited
On learning higher-order cumulants in diffusion models
Gert Aarts, Diaa E. Habibi, Lingxiao Wang +1
To analyse how diffusion models learn correlations beyond Gaussian ones, we study the behaviour of higher-order cumulants, or connected n-point functions, under both the forward an…