Citing Articles For: Novel approach for computing gradients of physical observables

Variance reduction in lattice QCD observables via normalizing flows

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Stochastic automatic differentiation and the signal to noise problem

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Applications of flow models to the generation of correlated lattice QCD ensembles

Ryan Abbott, Aleksandar Botev, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, and Julian M. Urban

Phys. Rev. D 109 094514 (2024)

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Novel approach for computing gradients of physical observables

Variance reduction in lattice QCD observables via normalizing flows

Stochastic automatic differentiation and the signal to noise problem

Applications of flow models to the generation of correlated lattice QCD ensembles

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