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Priors in Bayesian Deep Learning: A Review.. CoRR, (2021)Neural Variational Gradient Descent., , и . CoRR, (2021)On the Choice of Priors in Bayesian Deep Learning.. ETH Zurich, Zürich, Switzerland, (2021)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/523269).Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations., , , , и . NeurIPS, (2022)Conservative Uncertainty Estimation By Fitting Prior Networks., , , , и . ICLR, OpenReview.net, (2020)GP-VAE: Deep Probabilistic Time Series Imputation., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1651-1661. PMLR, (2020)PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees., , и . CoRR, (2020)Factorized Gaussian Process Variational Autoencoders., , и . CoRR, (2020)Data augmentation in Bayesian neural networks and the cold posterior effect., , , , , и . UAI, том 180 из Proceedings of Machine Learning Research, стр. 1434-1444. PMLR, (2022)Challenges and Perspectives in Deep Generative Modeling (Dagstuhl Seminar 23072)., , , , и . Dagstuhl Reports, 13 (2): 47-70 (февраля 2023)