14 citations · 18 across the 9 of their papers we have counts for
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stat.ML2022
Global quantitative robustness of regression feed-forward neural networks
Tino Werner
Neural networks are an indispensable model class for many complex learning tasks. Despite the popularity and importance of neural networks and many different established techniques…
cs.LG2022★ 14 cited
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Julian Wörmann, Daniel Bogdoll, Christian Brunner +49
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in real life applications…
cs.LG2022
Loss-guided Stability Selection
Tino Werner
In modern data analysis, sparse model selection becomes inevitable once the number of predictors variables is very high. It is well-known that model selection procedures like the L…