1.4k citations · 1.8k across the 17 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 41 cited
An XAI framework for robust and transparent data-driven wind turbine power curve models
Simon Letzgus, Klaus-Robert Müller
Wind turbine power curve models translate ambient conditions into turbine power output. They are essential for energy yield prediction and turbine performance monitoring. In recent…
cs.LG2023★ 7 cited
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon
Robustness has become an important consideration in deep learning. With the help of explainable AI, mismatches between an explained model's decision strategy and the user's domain…