138 citations · 302 across the 32 of their papers we have counts for
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stat.ML2021★ 1 cited
Marginally calibrated response distributions for end-to-end learning in autonomous driving
Clara Hoffmann, Nadja Klein
End-to-end learners for autonomous driving are deep neural networks that predict the instantaneous steering angle directly from images of the ahead-lying street. These learners mus…
stat.ML2021★ 7 cited
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
David Rügamer, Chris Kolb, Cornelius Fritz +11
In this paper we describe the implementation of semi-structured deep distributional regression, a flexible framework to learn conditional distributions based on the combination of…