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A case for new neural network smoothness constraints

Dec 21, 2020
Mihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed

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Monte Carlo Gradient Estimation in Machine Learning

Jun 25, 2019
Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih

* 59 pages, under review 

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Training language GANs from Scratch

May 23, 2019
Cyprien de Masson d'Autume, Mihaela Rosca, Jack Rae, Shakir Mohamed

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Deep Compressed Sensing

May 18, 2019
Yan Wu, Mihaela Rosca, Timothy Lillicrap

* ICML 2019 

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Learning Implicit Generative Models with the Method of Learned Moments

Jun 28, 2018
Suman Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals

* ICML 2018, 6 figures, 17 pages 

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Distribution Matching in Variational Inference

Jun 12, 2018
Mihaela Rosca, Balaji Lakshminarayanan, Shakir Mohamed

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Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Feb 20, 2018
William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian Goodfellow

* 18 pages 

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Variational Approaches for Auto-Encoding Generative Adversarial Networks

Oct 21, 2017
Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, Shakir Mohamed

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Sequence-to-sequence neural network models for transliteration

Oct 29, 2016
Mihaela Rosca, Thomas Breuel

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