Re-Envisioning Numerical Information Field Theory(NIFTy.re): A Library for Gaussian Processes and VariationalInference
Gordian Edenhofer, Philipp Frank, Jakob Roth, Reimar Leike, Massin Guerdi, Lukas Scheel-Platz, Matteo Guardiani, Vincent Eberle, Margret Westerkamp, T. A. Enßlin
Abstract
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
Topics & Concepts
InferenceComputer scienceGaussian processField (mathematics)Artificial intelligenceMachine learningGaussianMathematicsPhysicsQuantum mechanicsPure mathematicsGaussian Processes and Bayesian InferenceTime Series Analysis and ForecastingGamma-ray bursts and supernovae