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Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification., and . CoRR, (2020)How Sampling Impacts the Robustness of Stochastic Neural Networks., and . NeurIPS, (2022)Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification., , , and . INTERSPEECH, page 4661-4665. ISCA, (2020)Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks., , , and . ITAT, volume 2473 of CEUR Workshop Proceedings, page 17-25. CEUR-WS.org, (2019)On the Challenges and Opportunities in Generative AI., , , , , , , , , and 15 other author(s). CoRR, (2024)Approaches to Uncertainty Quantification in Federated Deep Learning., , , , and . PKDD/ECML Workshops (1), volume 1524 of Communications in Computer and Information Science, page 128-145. Springer, (2021)Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing., , and . EMNLP (Findings), page 591-598. Association for Computational Linguistics, (2021)Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms., , , , and . ICDM, page 161-175. ibai Publishing, (2019)On the Limitations of Model Stealing with Uncertainty Quantification Models., , , , and . CoRR, (2023)SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations., , , , and . ESANN, (2021)