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The Computational Complexity of Understanding Network Decisions.

, , , и . CoRR, (2019)

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Jil Wäldchen

Stephan

Stephan Frantzen

Enzymimmunologische und immunhistochemische Untersuchungen zum Einfluss von Matrix Metalloproteinasen und ihrer Inhibitoren auf die Entstehung der Dupuytren'schen Kontraktur. TU Aachen, (2009)

Stephan Gutschke

Aerodynamisches Rotormodell für die Drehschwingungssimulation von Windenergieanlagen. TU Aachen, (2009)

Stephan Siebel

Einfluss der Indolamin 2,3-Dioxygenase auf das Zellwachstum von T-Zellen, Tumorzellen und Staphylokokken. Uni Düsseldorf, (2007)
 

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