Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference

Python Submitted 19 February 2024Published 15 June 2024
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Authors

Gordian Edenhofer (0000-0003-3122-4894), Philipp Frank (0000-0001-5610-3779), Jakob Roth (0000-0002-8873-8215), Reimar H. Leike (0000-0002-1640-6772), Massin Guerdi, Lukas I. Scheel-Platz (0000-0003-0809-9634), Matteo Guardiani (0000-0002-4905-6692), Vincent Eberle (0000-0002-5713-3475), Margret Westerkamp (0000-0001-7218-8282), Torsten A. Enßlin (0000-0001-5246-1624)

Citation

Edenhofer et al., (2024). Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference. Journal of Open Source Software, 9(98), 6593, https://doi.org/10.21105/joss.06593

@article{Edenhofer2024, doi = {10.21105/joss.06593}, url = {https://doi.org/10.21105/joss.06593}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {98}, pages = {6593}, 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}, title = {Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference}, journal = {Journal of Open Source Software} }
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