Stephan Wäldchen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Reinforcement Learning

Computational Complexity

Deception Detection

Top Venues

Publications

Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta
Interpretability Guarantees with Merlin-Arthur Classifiers. AISTATS (2024)
Stephan Wäldchen
Hardness of Deceptive Certificate Selection. CoRR (2023)
Stephan Wäldchen
Hardness of Deceptive Certificate Selection. xAI (3) (2023)
Stephan Wäldchen, Felix Huber, Sebastian Pokutta
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four. CoRR (2022)
Jan MacDonald, Stephan Wäldchen
A Complete Characterisation of ReLU-Invariant Distributions. AISTATS (2022)
Stephan Wäldchen, Sebastian Pokutta, Felix Huber
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four. ICML (2022)
Stephan Wäldchen, Kartikey Sharma, Max Zimmer, Sebastian Pokutta
Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes. CoRR (2022)
Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok
The Computational Complexity of Understanding Binary Classifier Decisions. J. Artif. Intell. Res. 70 (2021)
Jan MacDonald, Stephan Wäldchen
A Complete Characterisation of ReLU-Invariant Distributions. CoRR (2021)
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn. CoRR (2019)
Jan MacDonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Neural Network Decisions. CoRR (2019)
Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok
The Computational Complexity of Understanding Network Decisions. CoRR (2019)