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ORCIDStephan Wäldchen
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2020 – today
- 2024
[c4]Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta:
Interpretability Guarantees with Merlin-Arthur Classifiers. AISTATS 2024: 1963-1971- 2023
- [c3]Stephan Wäldchen
:
Hardness of Deceptive Certificate Selection. xAI (3) 2023: 415-427 - [i7]Stephan Wäldchen:
Hardness of Deceptive Certificate Selection. CoRR abs/2306.04505 (2023) - 2022
- [b1]Stephan Wäldchen:
Towards explainable artificial intelligence: interpreting neural network classifiers with probabilistic prime implicants. Technical University of Berlin, Germany, 2022 - [c2]Jan MacDonald, Stephan Wäldchen:
A Complete Characterisation of ReLU-Invariant Distributions. AISTATS 2022: 1457-1484 - [c1]Stephan Wäldchen, Sebastian Pokutta, Felix Huber:
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four. ICML 2022: 22457-22474 - [i6]Stephan Wäldchen, Felix Huber, Sebastian Pokutta:
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four. CoRR abs/2202.11797 (2022) - [i5]Stephan Wäldchen, Kartikey Sharma, Max Zimmer, Sebastian Pokutta:
Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes. CoRR abs/2206.00759 (2022) - 2021
- [j1]Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok:
The Computational Complexity of Understanding Binary Classifier Decisions. J. Artif. Intell. Res. 70: 351-387 (2021) - [i4]Jan MacDonald, Stephan Wäldchen:
A Complete Characterisation of ReLU-Invariant Distributions. CoRR abs/2112.06532 (2021)
2010 – 2019
- 2019
- [i3]Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller:
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn. CoRR abs/1902.10178 (2019) - [i2]Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok:
The Computational Complexity of Understanding Network Decisions. CoRR abs/1905.09163 (2019) - [i1]Jan MacDonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok:
A Rate-Distortion Framework for Explaining Neural Network Decisions. CoRR abs/1905.11092 (2019)
Coauthor Index
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