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The Computational Complexity of Understanding Binary Classifier Decisions., , , and . J. Artif. Intell. Res., (2021)Unmasking Clever Hans Predictors and Assessing What Machines Really Learn., , , , , and . CoRR, (2019)Towards explainable artificial intelligence: interpreting neural network classifiers with probabilistic prime implicants.. Technical University of Berlin, Germany, (2022)Hardness of Deceptive Certificate Selection.. xAI (3), volume 1903 of Communications in Computer and Information Science, page 415-427. Springer, (2023)A Complete Characterisation of ReLU-Invariant Distributions., and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 1457-1484. PMLR, (2022)The Computational Complexity of Understanding Network Decisions., , , and . CoRR, (2019)A Rate-Distortion Framework for Explaining Neural Network Decisions., , , and . CoRR, (2019)Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes., , , and . CoRR, (2022)A Complete Characterisation of ReLU-Invariant Distributions., and . CoRR, (2021)Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22457-22474. PMLR, (2022)