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Cited article:

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https://doi.org/10.3847/1538-4365/ad0f1e

An information field theory approach to Bayesian state and parameter estimation in dynamical systems

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Neural network reconstruction of H'(z) and its application in teleparallel gravity

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Journal of Cosmology and Astroparticle Physics 2019 (07) 042 (2019)
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Generalized model-independent characterization of strong gravitational lenses V: reconstructing the lensing distance ratio by supernovae for a general Friedmann universe

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Monthly Notices of the Royal Astronomical Society 490 (2) 1913 (2019)
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NIFTy 3 – Numerical Information Field Theory: A Python Framework for Multicomponent Signal Inference on HPC Clusters

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Annalen der Physik 531 (3) (2019)
https://doi.org/10.1002/andp.201800290