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Sampling-Free Variational Inference of Bayesian Neural Nets.

, , и . CoRR, (2018)

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Alexander Haußmann

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Deep Active Learning with Adaptive Acquisition., , и . IJCAI, стр. 2470-2476. ijcai.org, (2019)Sampling-Free Variational Inference of Bayesian Neural Nets., , и . CoRR, (2018)Evidential Turing Processes., , , и . ICLR, OpenReview.net, (2022)LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos., , , , , , , , и . ICLR (Poster), OpenReview.net, (2019)Bayesian Prior Networks with PAC Training., , и . CoRR, (2019)Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes., , , , и . CoRR, (2020)Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation., , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 563-573. AUAI Press, (2019)Understanding Event-Generation Networks via Uncertainties., , , и . CoRR, (2021)Variational Bayesian Multiple Instance Learning with Gaussian Processes., , и . CVPR, стр. 810-819. IEEE Computer Society, (2017)Variational Weakly Supervised Gaussian Processes., , , , , и . BMVC, BMVA Press, (2016)