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Equivariant flow-based sampling for lattice gauge theory.

, , , , , , , и . CoRR, (2020)

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Normalizing flows for lattice gauge theory in arbitrary space-time dimension., , , , , , , , , и 4 other автор(ы). CoRR, (2023)Flow-based generative models for Markov chain Monte Carlo in lattice field theory., , и . CoRR, (2019)Flow-based sampling in the lattice Schwinger model at criticality., , , , , , , , , и . CoRR, (2022)Introduction to Normalizing Flows for Lattice Field Theory., , , , , , , и . CoRR, (2021)Equivariant flow-based sampling for lattice gauge theory., , , , , , , и . CoRR, (2020)Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions., , , , , , , , , и 2 other автор(ы). CoRR, (2022)Flow-based sampling for multimodal distributions in lattice field theory., , , , , , , , и . CoRR, (2021)Applications of flow models to the generation of correlated lattice QCD ensembles., , , , , , , , , и . CoRR, (2024)Normalizing Flows on Tori and Spheres., , , , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 8083-8092. PMLR, (2020)Applications of Machine Learning to Lattice Quantum Field Theory., , , , , , , , , и 1 other автор(ы). CoRR, (2022)