Stephan Wäldchen

According to our database, Stephan Wäldchen authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Interpretability Guarantees with Merlin-Arthur Classifiers.

Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Hardness of Deceptive Certificate Selection.

Stephan Wäldchen

Proceedings of the Explainable Artificial Intelligence, 2023

2022

Towards explainable artificial intelligence: interpreting neural network classifiers with probabilistic prime implicants.

Stephan Wäldchen

PhD thesis, 2022

Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes.

Stephan Wäldchen, Kartikey Sharma, Max Zimmer, Sebastian Pokutta

CoRR, 2022

Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four.

Stephan Wäldchen, Sebastian Pokutta, Felix Huber

Proceedings of the International Conference on Machine Learning, 2022

A Complete Characterisation of ReLU-Invariant Distributions.

Jan MacDonald, Stephan Wäldchen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

The Computational Complexity of Understanding Binary Classifier Decisions.

Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok

J. Artif. Intell. Res., 2021

2019

A Rate-Distortion Framework for Explaining Neural Network Decisions.

Jan MacDonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok

CoRR, 2019

The Computational Complexity of Understanding Network Decisions.

Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok

CoRR, 2019

Unmasking Clever Hans Predictors and Assessing What Machines Really Learn.

Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller

CoRR, 2019