Citing NIFTy

To cite the software library NIFTy, please use the following references:

@article{niftyre,
  title         = {Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference},
  author        = {Gordian Edenhofer and Philipp Frank and Jakob Roth and Reimar H. Leike and Massin Guerdi and Lukas I. Scheel-Platz and Matteo Guardiani and Vincent Eberle and Margret Westerkamp and Torsten A. Enßlin},
  year          = {2024},
  journal       = {Journal of Open Source Software},
  publisher     = {The Open Journal},
  volume        = {9},
  number        = {98},
  pages         = {6593},
  doi           = {10.21105/joss.06593},
  url           = {https://doi.org/10.21105/joss.06593},
}
@article{nifty5,
  author        = {{Arras}, Philipp and {Baltac}, Mihai and {Ensslin}, Torsten A. and {Frank}, Philipp and {Hutschenreuter}, Sebastian and {Knollmueller}, Jakob and {Leike}, Reimar and {Newrzella}, Max-Niklas and {Platz}, Lukas and {Reinecke}, Martin and {Stadler}, Julia},
  title         = {{NIFTy5: Numerical Information Field Theory v5}},
  keywords      = {Software},
  howpublished  = {Astrophysics Source Code Library, record ascl:1903.008},
  year          = 2019,
  month         = 03,
  eid           = {ascl:1903.008},
  pages         = {ascl:1903.008},
  archiveprefix = {ascl},
  eprint        = {1903.008}
}
@article{nifty3,
  author        = {{Steininger}, Theo and {Dixit}, Jait and {Frank}, Philipp and {Greiner}, Maksim and {Hutschenreuter}, Sebastian and {Knollm{"u}ller}, Jakob and {Leike}, Reimar and {Porqueres}, Natalia and {Pumpe}, Daniel and {Reinecke}, Martin and {{v{S}}raml}, Matev{v{z}} and {Varady}, Csongor and {En{ss}lin}, Torsten},
  title         = "{NIFTy 3 - Numerical Information Field Theory: A Python Framework for Multicomponent Signal Inference on HPC Clusters}",
  journal       = {{Annalen der Physik}},
  year          = 2019,
  month         = {03},
  volume        = {531},
  number        = {3},
  pages         = {1800290},
  doi           = {10.1002/andp.201800290},
}
@article{nifty1,
  author        = {{Selig}, M. and {Bell}, M.~R. and {Junklewitz}, H. and {Oppermann}, N. and {Reinecke}, M. and {Greiner}, M. and {Pachajoa}, C. and {En{ss}lin}, T.~A.},
  title         = "{NIFTY - Numerical Information Field Theory. A versatile PYTHON library for signal inference}",
  journal       = {Astronomy & Astrophysics},
  archivePrefix = "arXiv",
  eprint        = {1301.4499},
  primaryClass  = "astro-ph.IM",
  keywords      = {methods: data analysis, methods: numerical, methods: statistical, techniques: image processing},
  year          = 2013,
  month         = {06},
  volume        = 554,
  eid           = {A26},
  pages         = {A26},
  doi           = {10.1051/0004-6361/201321236},
}

For the inference machinery, please cite:

@article{Frank2021,
  author         = {Frank, Philipp and Leike, Reimar and Enßlin, Torsten A.},
  title          = {Geometric Variational Inference},
  journal        = {Entropy},
  volume         = {23},
  year           = {2021},
  number         = {7},
  article-number = {853},
  url            = {https://www.mdpi.com/1099-4300/23/7/853},
  issn           = {1099-4300},
  doi            = {10.3390/e23070853}
}
@misc{knollmüller2020metric,
  title          = {Metric Gaussian Variational Inference},
  author         = {Jakob Knollmüller and Torsten A. Enßlin},
  year           = {2020},
  eprint         = {1901.11033},
  archivePrefix  = {arXiv},
  primaryClass   = {stat.ML}
}

If you use the correlated field model from NIFTy, please additionally cite:

@article{Arras2022,
  author         = {{Arras}, Philipp and {Frank}, Philipp and {Haim}, Philipp and {Knollm{"u}ller}, Jakob and {Leike}, Reimar and {Reinecke}, Martin and {En{ss}lin}, Torsten},
  title          = "{Variable structures in M87* from space, time and frequency resolved interferometry}",
  journal        = {Nature Astronomy},
  year           = 2022,
  month          = jan,
  volume         = {6},
  pages          = {259-269},
  doi            = {10.1038/s41550-021-01548-0},
}
@article{Arras2021,
  author         = {{Arras}, Philipp and {Bester}, Hertzog L. and {Perley}, Richard A. and {Leike}, Reimar and {Smirnov}, Oleg and {Westermann}, R{"u}diger and {En{ss}lin}, Torsten A.},
  title          = "{Comparison of classical and Bayesian imaging in radio interferometry. Cygnus A with CLEAN and resolve}",
  journal        = {Astronomy and Astrophysics},
  year           = 2021,
  month          = feb,
  volume         = {646},
  eid            = {A84},
  pages          = {A84},
  doi            = {10.1051/0004-6361/202039258},
}

For the charted refinement model, please cite:

@misc{Edenhofer2022,
  doi       = {10.48550/ARXIV.2206.10634},
  url       = {https://arxiv.org/abs/2206.10634},
  author    = {Edenhofer, Gordian and Leike, Reimar H. and Frank, Philipp and Enßlin, Torsten A.},
  keywords  = {Machine Learning (cs.LG), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title     = {Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR)},
  publisher = {arXiv},
  year      = {2022},
}