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Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

, and . (2019)cite arxiv:1912.05651Comment: 18 pages, extended version with supplementary material.

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Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection, and . (2019)cite arxiv:1912.05651Comment: 18 pages, extended version with supplementary material.Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts., , , , , , , , , and . CoRR, (2023)Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning., , , and . CoRR, (2021)Laplace Redux - Effortless Bayesian Deep Learning., , , , , and . NeurIPS, page 20089-20103. (2021)Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining., , and . NeurIPS, (2020)Mixed-Variable Bayesian Optimization., , , and . CoRR, (2019)Mixed-Variable Bayesian Optimization., , , and . IJCAI, page 2633-2639. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Embedding models for episodic knowledge graphs., , and . J. Web Semant., (2019)Distributed Batch Gaussian Process Optimization., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 951-960. PMLR, (2017)Bayesian Deep Learning via Subnetwork Inference., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2510-2521. PMLR, (2021)