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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
2792017
Monte carlo gradient estimation in machine learning
S Mohamed, M Rosca, M Figurnov, A Mnih
The Journal of Machine Learning Research 21 (1), 5183-5244, 2020
2602020
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
2002017
Deep compressed sensing
Y Wu, M Rosca, T Lillicrap
International Conference on Machine Learning, 6850-6860, 2019
1362019
Distribution matching in variational inference
M Rosca, B Lakshminarayanan, S Mohamed
arXiv preprint arXiv:1802.06847, 2018
902018
Training language gans from scratch
C de Masson d'Autume, S Mohamed, M Rosca, J Rae
Advances in Neural Information Processing Systems 32, 2019
552019
Sequence-to-sequence neural network models for transliteration
M Rosca, T Breuel
arXiv preprint arXiv:1610.09565, 2016
552016
Optax: composable gradient transformation and optimisation
M Hessel, D Budden, F Viola, M Rosca, E Sezener, T Hennigan
JAX, http://github. com/deepmind/optax, 2020
382020
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
272018
A case for new neural network smoothness constraints
M Rosca, T Weber, A Gretton, S Mohamed
PMLR, 2020
232020
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 16, 2010
212010
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
172021
Optax: composable gradient transformation and optimisation, in jax
M Hessel, D Budden, F Viola, M Rosca, E Sezener, T Hennigan
Github: Deepmind 2, 980-1080, 2020
102020
Discretization drift in two-player games
MC Rosca, Y Wu, B Dherin, D Barrett
International Conference on Machine Learning, 9064-9074, 2021
52021
Measure-valued derivatives for approximate Bayesian inference
M Rosca, M Figurnov, S Mohamed, A Mnih
NeurIPS Workshop on Approximate Bayesian Inference, 2019
42019
Why neural networks find simple solutions: the many regularizers of geometric complexity
B Dherin, M Munn, M Rosca, DGT Barrett
arXiv preprint arXiv:2209.13083, 2022
32022
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
Attractor neural networks for modelling associative memory
W Al Jishi, N Hambuechen, R Marinescu, M Rosca, L Severyn
January, 2013
12013
On a continuous time model of gradient descent dynamics and instability in deep learning
M Rosca, Y Wu, C Qin, B Dherin
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