Towards trustworthy amortized Bayesian inference with deep learning

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Schmitt_Dissertation_Druck.pdf (20.35 MB)

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2025

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http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-162860
 https://elib.uni-stuttgart.de/handle/11682/16286
 https://doi.org/10.18419/opus-16267

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05 Fakultät Informatik, Elektrotechnik und Informationstechnik

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