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
1982017
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
1462017
Monte Carlo Gradient Estimation in Machine Learning.
S Mohamed, M Rosca, M Figurnov, A Mnih
J. Mach. Learn. Res. 21 (132), 1-62, 2020
1132020
Distribution matching in variational inference
M Rosca, B Lakshminarayanan, S Mohamed
arXiv preprint arXiv:1802.06847, 2018
672018
Deep compressed sensing
Y Wu, M Rosca, T Lillicrap
International Conference on Machine Learning, 6850-6860, 2019
642019
Sequence-to-sequence neural network models for transliteration
M Rosca, T Breuel
arXiv preprint arXiv:1610.09565, 2016
412016
Training language gans from scratch
CM d'Autume, M Rosca, J Rae, S Mohamed
arXiv preprint arXiv:1905.09922, 2019
332019
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
202018
Optax: Composable gradient transformation and optimisation
M Hessel, D Budden, F Viola, M Rosca, E Sezener, T Hennigan
JAX, 2020
92020
A case for new neural network smoothness constraints
M Rosca, T Weber, A Gretton, S Mohamed
PMLR, 2020
42020
Measure-valued derivatives for approximate Bayesian inference
M Rosca, M Figurnov, S Mohamed, A Mnih
NeurIPS Workshop on Approximate Bayesian Inference, 2019
32019
Networks with emotions: An investigation into deep belief nets and emotion recognition
M Rosca
Imperial College London, 2014
2*2014
Compressed sensing using neural networks
Y Wu, TP Lillicrap, M Rosca
US Patent App. 16/818,895, 2020
12020
Discretization Drift in Two-Player Games
M Rosca, Y Wu, B Dherin, DGT Barrett
arXiv preprint arXiv:2105.13922, 2021
2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective
F Gogianu, T Berariu, M Rosca, C Clopath, L Busoniu, R Pascanu
arXiv preprint arXiv:2105.05246, 2021
2021
Attractor Neural Networks for Modelling Associative Memory
W Al Jishi, N Hambuechen, R Marinescu, M Rosca, L Severyn
2013
Training language GANs from scratch
M Rosca
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