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Image Anomaly Detection with Generative Adversarial Networks.

, , , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 3-17. Springer, (2018)

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Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning., , , and . NeurIPS, page 6816-6828. (2021)Autoregressive Text Generation Beyond Feedback Loops., , and . EMNLP/IJCNLP (1), page 3398-3404. Association for Computational Linguistics, (2019)Latent Outlier Exposure for Anomaly Detection with Contaminated Data., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18153-18167. PMLR, (2022)Structured Stochastic Gradient MCMC., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 414-434. PMLR, (2022)Scalable Gaussian Process Variational Autoencoders., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3511-3519. PMLR, (2021)How Good is the Bayes Posterior in Deep Neural Networks Really?, , , , , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10248-10259. PMLR, (2020)Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34409-34430. PMLR, (2023)On the Challenges and Opportunities in Generative AI., , , , , , , , , and 15 other author(s). CoRR, (2024)A Variational Analysis of Stochastic Gradient Algorithms., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 354-363. JMLR.org, (2016)Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding., , and . CoRR, (2020)