no code implementations • 23 Feb 2024 • Maurice Kraus, Felix Divo, David Steinmann, Devendra Singh Dhami, Kristian Kersting
Actually, common belief is that multi-dataset pretraining does not work for time series!
no code implementations • 20 Feb 2024 • Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting
Feedback on explanations in both domains is then used to constrain the model, steering it away from the annotated confounding factors.
1 code implementation • 15 Sep 2023 • Wolfgang Stammer, Felix Friedrich, David Steinmann, Manuel Brack, Hikaru Shindo, Kristian Kersting
Current AI research mainly treats explanations as a means for model inspection.
1 code implementation • 25 Aug 2023 • David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting
To rectify this, we present concept bottleneck memory models (CB2Ms), which keep a memory of past interventions.
1 code implementation • 14 Apr 2023 • Felix Friedrich, David Steinmann, Kristian Kersting
Current machine learning models produce outstanding results in many areas but, at the same time, suffer from shortcut learning and spurious correlations.
no code implementations • 14 Jun 2022 • David Steinmann, Matej Zečević, Devendra Singh Dhami, Kristian Kersting
In this work, we extend the attribution methods for explaining neural networks to linear programs.