81 citations · 136 across the 13 of their papers we have counts for
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cs.LG2021★ 2 cited
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders
Philipp Joppich, Sebastian Dorn, Oliver De Candido +2
Parametric and non-parametric classifiers often have to deal with real-world data, where corruptions like noise, occlusions, and blur are unavoidable - posing significant challenge…
cs.LG2020★ 3 cited
Bayesian Reasoning with Trained Neural Networks
Jakob Knollmüller, Torsten Enßlin
We showed how to use trained neural networks to perform Bayesian reasoning in order to solve tasks outside their initial scope. Deep generative models provide prior knowledge, and…