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Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling

, , , and . arXiv preprint arXiv:2110.06021, (2021)

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The effect of long-distance interconnection on wind power variability, , , and . Environmental Research Letters, 7 (3): 034017+ (Sep 1, 2012)Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling., , , and . CoRR, (2021)Smart Integration of Variable and Intermittent Renewables., , and . HICSS, page 1997-2001. IEEE Computer Society, (2012)Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces., , , and . CoRR, (2019)Automatic structured variational inference., , , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 676-684. PMLR, (2021)β-VAEs can retain label information even at high compression., , and . CoRR, (2018)Likelihood Ratios for Out-of-Distribution Detection., , , , , , , and . NeurIPS, page 14680-14691. (2019)Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift., , , , , , , , and . NeurIPS, page 13969-13980. (2019)Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling., , , and . ICLR, OpenReview.net, (2022)