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Mihaela Rosca
Mihaela Rosca
Deepmind
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Title
Cited by
Cited by
Year
Variational approaches for auto-encoding generative adversarial networks
M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed
arXiv preprint arXiv:1706.04987, 2017
2482017
Monte Carlo Gradient Estimation in Machine Learning.
S Mohamed, M Rosca, M Figurnov, A Mnih
J. Mach. Learn. Res. 21 (132), 1-62, 2020
1992020
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
1832017
Deep compressed sensing
Y Wu, M Rosca, T Lillicrap
International Conference on Machine Learning, 6850-6860, 2019
1082019
Distribution matching in variational inference
M Rosca, B Lakshminarayanan, S Mohamed
arXiv preprint arXiv:1802.06847, 2018
812018
Sequence-to-sequence neural network models for transliteration
M Rosca, T Breuel
arXiv preprint arXiv:1610.09565, 2016
482016
Training language gans from scratch
C de Masson d'Autume, S Mohamed, M Rosca, J Rae
Advances in Neural Information Processing Systems 32, 2019
462019
Optax: composable gradient transformation and optimisation
M Hessel, D Budden, F Viola, M Rosca, E Sezener, T Hennigan
JAX, 2020
242020
Learning implicit generative models with the method of learned moments
S Ravuri, S Mohamed, M Rosca, O Vinyals
International Conference on Machine Learning, 4314-4323, 2018
242018
A case for new neural network smoothness constraints
M Rosca, T Weber, A Gretton, S Mohamed
PMLR, 2020
152020
Optax: composable gradient transformation and optimisation, in jax!, 2020
M Hessel, D Budden, F Viola, M Rosca, E Sezener, T Hennigan
URL http://github. com/deepmind/optax, 2010
152010
Spectral normalisation for deep reinforcement learning: an optimisation perspective
F Gogianu, T Berariu, MC Rosca, C Clopath, L Busoniu, R Pascanu
International Conference on Machine Learning, 3734-3744, 2021
92021
Measure-valued derivatives for approximate bayesian inference
M Rosca, M Figurnov, S Mohamed, A Mnih
NeurIPS Workshop on Approximate Bayesian Inference, 2019
42019
Networks with emotions: An investigation into deep belief nets and emotion recognition
M Rosca
Imperial College London, 2014
2*2014
Discretization Drift in Two-Player Games
MC Rosca, Y Wu, B Dherin, D Barrett
International Conference on Machine Learning, 9064-9074, 2021
12021
Compressed sensing using neural networks
Y Wu, TP Lillicrap, M Rosca
US Patent App. 16/818,895, 2020
12020
Attractor neural networks for modelling associative memory
W Al Jishi, N Hambuechen, R Marinescu, M Rosca, L Severyn
January, 2013
12013
Training language GANs from scratch
M Rosca
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