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But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI.

, , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7375-7391. PMLR, (2023)

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Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting., , , , , , and . DGS@ICLR, OpenReview.net, (2019)Learning Neural PDE Solvers with Convergence Guarantees., , , , and . ICLR (Poster), OpenReview.net, (2019)Learning and Inference via Maximum Inner Product Search., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 2587-2596. JMLR.org, (2016)Calibrated Model-Based Deep Reinforcement Learning., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4314-4323. PMLR, (2019)Multi-Agent Adversarial Inverse Reinforcement Learning., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7194-7201. PMLR, (2019)Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference., , and . CoRR, (2018)Importance Sampling over Sets: A New Probabilistic Inference Scheme., and . UAI, page 355-364. AUAI Press, (2015)Learning with Weak Supervision from Physics and Data-Driven Constraints., , , , and . AI Magazine, 39 (1): 27-38 (2018)Domain Adaptation for Human Fall Detection Using WiFi Channel State Information., , , and . Precision Health and Medicine, volume 843 of Studies in Computational Intelligence, Springer, (2020)Gaussianization Flows., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4336-4345. PMLR, (2020)