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Introduction to Normalizing Flows for Lattice Field Theory

, , , , , , , и . (2021)cite arxiv:2101.08176Comment: 38 pages, 5 numbered figures, Jupyter notebook included as ancillary file.

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Danilo Irmler

Danilo Tait

Danilo Horta

Danilo Jankovic

Danilo Trijic

 

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Information bottleneck through variational glasses., , , , , и . CoRR, (2019)Normalizing Flows for Probabilistic Modeling and Inference., , , , и . CoRR, (2019)Targeted free energy estimation via learned mappings, , , , , , , и . (2020)cite arxiv:2002.04913Comment: 10 pages, 5 figures.From data to functa: Your data point is a function and you can treat it like one., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 5694-5725. PMLR, (2022)Stochastic variational learning in recurrent spiking networks, и . Frontiers in Computational Neuroscience, (2014)Generative Temporal Models with Spatial Memory for Partially Observed Environments., , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 1544-1553. PMLR, (2018)Neural Communication Systems with Bandwidth-limited Channel., , и . CoRR, (2020)Normalizing Flows for Probabilistic Modeling and Inference., , , , и . J. Mach. Learn. Res., (2021)Equivariant flow-based sampling for lattice gauge theory., , , , , , , и . CoRR, (2020)Introduction to Normalizing Flows for Lattice Field Theory, , , , , , , и . (2021)cite arxiv:2101.08176Comment: 38 pages, 5 numbered figures, Jupyter notebook included as ancillary file.