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Flow-based sampling in the lattice Schwinger model at criticality., , , , , , , , , and . CoRR, (2022)Flow-based sampling for fermionic lattice field theories., , , , , , , , and . CoRR, (2021)Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics., , , , and . CoRR, (2023)Sampling using SU(N) gauge equivariant flows., , , , , , , and . CoRR, (2020)Normalizing flows for lattice gauge theory in arbitrary space-time dimension., , , , , , , , , and 4 other author(s). CoRR, (2023)Algorithms, Bounds, and Strategies for Entangled XOR Games., , , and . CoRR, (2018)Flow-based generative models for Markov chain Monte Carlo in lattice field theory., , and . CoRR, (2019)Machine Learning and Variational Algorithms for Lattice Field Theory.. CoRR, (2021)Applications of flow models to the generation of correlated lattice QCD ensembles., , , , , , , , , and . CoRR, (2024)Normalizing Flows on Tori and Spheres., , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8083-8092. PMLR, (2020)