David Steinmann

According to our database, David Steinmann authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Neural Concept Binder.

Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting

CoRR, 2024

United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once.

Maurice Kraus, Felix Divo, David Steinmann, Devendra Singh Dhami, Kristian Kersting

CoRR, 2024

Right on Time: Revising Time Series Models by Constraining their Explanations.

Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting

CoRR, 2024

Learning to Intervene on Concept Bottlenecks.

David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning by Self-Explaining.

Wolfgang Stammer, Felix Friedrich, David Steinmann, Hikaru Shindo, Kristian Kersting

CoRR, 2023

One Explanation Does Not Fit XIL.

Felix Friedrich, David Steinmann, Kristian Kersting

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Machines Explaining Linear Programs.

David Steinmann, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting

CoRR, 2022