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Normalizing flows are machine-learned maps between different lattice theories which can be used as components in exact sampling and inference schemes.
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2008
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2009
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M. Lüscher, Trivializing maps, the Wilson flow and the HMC algorithm , Commun. Math. Phys. 293
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M. Lüscher, Properties and uses of the Wilson flow in lattice QCD , JHEP 08
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2011
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2012
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2012
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2021
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G. Papamakarios, E. Nalisnick, D.J. Rezende, S. Mohamed and B. Lakshminarayanan, Normalizing flows for probabilistic modeling and inference , Journal of Machine Learning Research 22
2021
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2021
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M. Arbel, A. Matthews and A. Doucet, Annealed flow transport Monte Carlo , International Conference on Machine Learning (2021) 318
2021
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2022
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2022
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2022
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2022
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L. Vaitl, K.A. Nicoli, S. Nakajima and P. Kessel, Gradients should stay on path: Better estimators of the reverse- and forward kl divergence for normalizing flows , 2022
2022
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M. Invernizzi, A. Krämer, C. Clementi and F. Noé, Skipping the replica exchange ladder with normalizing flows , The Journal of Physical Chemistry Letters 13
2022
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2022
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2022
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2023
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