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Scalable and Interpretable Data Representation for High-Dimensional, Complex Data.

, , , and . AAAI, page 1763-1769. AAAI Press, (2015)

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Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure., , , and . CoRR, (2019)Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2673-2682. PMLR, (2018)Machine Learning Techniques for Accountability., and . AI Mag., 42 (1): 47-52 (2021)DISSECT: Disentangled Simultaneous Explanations via Concept Traversals., , , , , and . CoRR, (2021)Model evaluation for extreme risks., , , , , , , , , and 11 other author(s). CoRR, (2023)Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior., , and . J. Artif. Intell. Res., (2015)Scalable and Interpretable Data Representation for High-Dimensional, Complex Data., , , and . AAAI, page 1763-1769. AAAI Press, (2015)Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation., , , and . ICLR, OpenReview.net, (2022)On the Relationship Between Explanation and Prediction: A Causal View., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15861-15883. PMLR, (2023)Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero., , , , , and . CoRR, (2023)