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Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

D. Rezende, S. Mohamed, and D. Wierstra. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1278-1286. JMLR.org, (2014)

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Inken Wierstra

Daan Christiaens

Christiane Daanay

Daniël Pieter Wierstra

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Weight Uncertainty in Neural NetworksC. Blundell, J. Cornebise, K. Kavukcuoglu, and D. Wierstra. (2015)cite arxiv:1505.05424Comment: In Proceedings of the 32nd International Conference on Machine Learning (ICML 2015).Training Recurrent Neural Networks by EvolinoJ. Schmidhuber, D. Wierstra, M. Gagliolo, and F. Gomez. Neural Computation, (2007)Matching Networks for One Shot LearningO. Vinyals, C. Blundell, T. Lillicrap, koray kavukcuoglu, and D. Wierstra. Proceedings of the Neural Information Processing Systems Conference, page 3630--3638. (2016)PyBrain.T. Schaul, J. Bayer, D. Wierstra, Y. Sun, M. Felder, F. Sehnke, T. Rückstieß, and J. Schmidhuber. J. Mach. Learn. Res., (2010)Imagination-Augmented Agents for Deep Reinforcement Learning.T. Weber, S. Racanière, D. Reichert, L. Buesing, A. Guez, D. Rezende, A. Badia, O. Vinyals, N. Heess, Y. Li and 4 other author(s). CoRR, (2017)One-shot Learning with Memory-Augmented Neural Networks.A. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap. CoRR, (2016)Meta-Learning with Memory-Augmented Neural Networks.A. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap. ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1842-1850. JMLR.org, (2016)Weight Uncertainty in Neural NetworkC. Blundell, J. Cornebise, K. Kavukcuoglu, and D. Wierstra. Proceedings of the 32nd International Conference on Machine Learning, volume 37 of Proceedings of Machine Learning Research, page 1613--1622. Lille, France, PMLR, (07--09 Jul 2015)Deep AutoRegressive Networks.K. Gregor, I. Danihelka, A. Mnih, C. Blundell, and D. Wierstra. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1242-1250. JMLR.org, (2014)Solving Deep Memory POMDPs with Recurrent Policy Gradients.D. Wierstra, A. F�rster, J. Peters, and J. Schmidhuber. ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 697-706. Springer, (2007)

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Disambiguation of "Wierstra, Daan"

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Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

Please choose a person to relate this publication to

Inken Wierstra

Daan Christiaens

Christiane Daanay

Daniël Pieter Wierstra

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wierstra, Daan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

Please choose a person to relate this publication to

Inken Wierstra

Daan Christiaens

Christiane Daanay

Daniël Pieter Wierstra

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Stochastic Backpropagation and Approximate Inference in Deep Generative Models.