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Thanks for this library, I saw in the documentation resources of the bibliography of possible additions to Methodology and Applications, and I thought if I could suggest a few papers.
Methodology:
Rasul, Kashif, et al. "Multivariate probabilistic time series forecasting via conditioned normalizing flows." arXiv preprint arXiv:2002.06103 (2020).
Liu, Jenny, et al. "Graph normalizing flows." Advances in Neural Information Processing Systems 32 (2019).
Applications:
Noé, Frank, et al. "Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning." Science 365.6457 (2019): eaaw1147.
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Hi,
Thanks for this library, I saw in the documentation resources of the bibliography of possible additions to Methodology and Applications, and I thought if I could suggest a few papers.
Methodology:
Rasul, Kashif, et al. "Multivariate probabilistic time series forecasting via conditioned normalizing flows." arXiv preprint arXiv:2002.06103 (2020).
Liu, Jenny, et al. "Graph normalizing flows." Advances in Neural Information Processing Systems 32 (2019).
Applications:
Noé, Frank, et al. "Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning." Science 365.6457 (2019): eaaw1147.
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