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Piecewise Linear Transformation − Propagating Aleatoric Uncertainty in Neural Networks

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Krapf, Thomas ; Hagn, Michael ; Miethaner, Paul ; Schiller, Alexander ; Luttner, Lucas ; Heinrich, Bernd
Date of publication of this fulltext: 13 Mar 2024 12:08


Real-world data typically exhibit aleatoric uncertainty which has to be considered during data-driven decision-making to assess the confidence of the decision provided by machine learning models. To propagate aleatoric uncertainty repre-sented by probability distributions (PDs) through neural net-works (NNs), both sampling-based and function approxima-tion-based methods have been proposed. ...


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