Mihaela Rosca
Mihaela Rosca
Deepmind
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Variational approaches for auto-encoding generative adversarial networks
M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed
arXiv preprint arXiv:1706.04987, 2017
1402017
Many paths to equilibrium: GANs do not need to decrease a divergence at every step
W Fedus, M Rosca, B Lakshminarayanan, AM Dai, S Mohamed, ...
arXiv preprint arXiv:1710.08446, 2017
842017
Distribution matching in variational inference
M Rosca, B Lakshminarayanan, S Mohamed
arXiv preprint arXiv:1802.06847, 2018
312018
Sequence-to-sequence neural network models for transliteration
M Rosca, T Breuel
arXiv preprint arXiv:1610.09565, 2016
232016
Monte carlo gradient estimation in machine learning
S Mohamed, M Rosca, M Figurnov, A Mnih
arXiv preprint arXiv:1906.10652, 2019
222019
Deep compressed sensing
Y Wu, M Rosca, T Lillicrap
arXiv preprint arXiv:1905.06723, 2019
172019
Learning implicit generative models with the method of learned moments
S Ravuri, S Mohamed, M Rosca, O Vinyals
arXiv preprint arXiv:1806.11006, 2018
162018
Networks with emotions: An investigation into deep belief nets and emotion recognition
M Rosca
Imperial College London, 2014
2*2014
Training language gans from scratch
CM d'Autume, M Rosca, J Rae, S Mohamed
arXiv preprint arXiv:1905.09922, 2019
12019
Training language gans from scratch
C de Masson d'Autume, S Mohamed, M Rosca, J Rae
Advances in Neural Information Processing Systems, 4302-4313, 2019
12019
Gradient Penalties for Generative Adversarial Networks
A Dai, B Lakshminarayanan, I Goodfellow, L Fedus, M Rosca, ...
2018
Attractor Neural Networks for Modelling Associative Memory
W Al Jishi, N Hambuechen, R Marinescu, M Rosca, L Severyn
2013
Measure-Valued Derivatives for Approximate Bayesian Inference
M Rosca, M Figurnov, S Mohamed, A Mnih
Training language GANs from scratch
M Rosca
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Artiklar 1–14