CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs - researchr publication authors

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Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta. CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 1488-1497, PMLR, 2022. [doi]

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