TY - INPR A1 - Joppich, Philipp A1 - Dorn, Sebastian A1 - De Candido, Oliver A1 - Utschick, Wolfgang A1 - Knollmüller, Jakob T1 - Classification and Uncertainty Quantification of Corrupted Data Using Semi-Supervised Autoencoders KW - Bayesian inference KW - machine learning KW - inverse problems KW - reconstruction problems KW - uncertainty quantification Y1 - 2021 U6 - https://doi.org/10.48550/arXiv.2105.13393 N1 - arXiv.org - Non-exclusive license to distribute (http://arxiv.org/licenses/nonexclusive-distrib/1.0/) N1 - überarbeitete Version 2 des Preprints erschien am 20.04.2023 unter dem Titel "Classification and Uncertainty Quantification of Corrupted Data Using Supervised Autoencoders" (https://arxiv.org/abs/2105.13393v2) IS - v1 PB - arxiv.org ER -