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Learning to Predict Error for MRI Reconstruction.

, , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 604-613. Springer, (2021)

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Accelerated Variational Dirichlet Process Mixtures, , and . Advances in Neural Information Processing Systems (NIPS), (2007)Flexible Priors for Infinite Mixture Models. ICML workshop on Nonparametric Baysian methods, (2006)Deterministic Latent Variable Models and Their Pitfalls., , and . SDM, page 196-207. SIAM, (2008)Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation., , , and . CoRR, (2012)Exploiting the Statistics of Learning and Inference.. CoRR, (2014)Attention-based Deep Multiple Instance Learning., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2132-2141. PMLR, (2018)Herding dynamical weights to learn.. ICML, volume 382 of ACM International Conference Proceeding Series, page 1121-1128. ACM, (2009)Hybrid Variational/Gibbs Collapsed Inference in Topic Models, , and . CoRR, (2012)Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1782-1790. JMLR.org, (2014)Distributed Stochastic Gradient MCMC., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1044-1052. JMLR.org, (2014)