flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX

Python Submitted 10 November 2022Published 09 March 2023
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Editor: @rkurchin (all papers)
Reviewers: @matt-graham (all reviews), @Daniel-Dodd (all reviews)

Authors

Kaze W. k. Wong (0000-0001-8432-7788), Marylou Gabrié (0000-0002-5989-1018), Daniel Foreman-Mackey (0000-0002-9328-5652)

Citation

Wong et al., (2023). flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX. Journal of Open Source Software, 8(83), 5021, https://doi.org/10.21105/joss.05021

@article{Wong2023, doi = {10.21105/joss.05021}, url = {https://doi.org/10.21105/joss.05021}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {83}, pages = {5021}, author = {Kaze W. k. Wong and Marylou Gabrié and Daniel Foreman-Mackey}, title = {flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX}, journal = {Journal of Open Source Software} }
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Bayesian Inference Machine Learning JAX

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