Simon Osindero
Simon Osindero
Principal Scientist (Director) @ DeepMind
Verified email at
Cited by
Cited by
A fast learning algorithm for deep belief nets
GE Hinton, S Osindero, YW Teh
Neural computation 18 (7), 1527-1554, 2006
Conditional generative adversarial nets
M Mirza, S Osindero
NIPS 2014: Deep Learning and Representation Learning Workshop, 2014
Meta-Learning with Latent Embedding Optimization
AA Rusu, D Rao, J Sygnowski, O Vinyals, R Pascanu, S Osindero, ...
arXiv preprint arXiv:1807.05960, 2018
Training compute-optimal large language models
J Hoffmann, S Borgeaud, A Mensch, E Buchatskaya, T Cai, E Rutherford, ...
arXiv preprint arXiv:2203.15556, 2022
Feudal networks for hierarchical reinforcement learning
AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ...
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Population Based Training of Neural Networks
M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ...
arXiv preprint arXiv:1711.09846, 2017
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
Improving language models by retrieving from trillions of tokens
S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ...
International Conference on Machine Learning, 2206-2240, 2022
The Dartmouth College artificial intelligence conference: The next fifty years
J Moor
Ai Magazine 27 (4), 87, 2006
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
CY Lee, S Osindero
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Cross-Dimensional Weighting for Aggregated Deep Convolutional Features
Y Kalantidis, C Mellina, S Osindero
European Conference on Computer Vision, 685-701, 2016
Decoupled neural interfaces using synthetic gradients
M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, D Silver, ...
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Sobolev training for neural networks
WM Czarnecki, S Osindero, M Jaderberg, G Swirszcz, R Pascanu
Advances in Neural Information Processing Systems, 4281-4290, 2017
Energy-based models for sparse overcomplete representations
YW Teh, M Welling, S Osindero, GE Hinton
Journal of Machine Learning Research 4 (Dec), 1235-1260, 2003
Learning sparse topographic representations with products of student-t distributions
M Welling, S Osindero, GE Hinton
Advances in neural information processing systems, 1359-1366, 2002
Unsupervised discovery of nonlinear structure using contrastive backpropagation
G Hinton, S Osindero, M Welling, YW Teh
Cognitive Science 30 (4), 725-731, 2006
An alternative infinite mixture of Gaussian process experts
E Meeds, S Osindero
Advances in Neural Information Processing Systems 18, 883, 2006
Strategic attentive writer for learning macro-actions
A Vezhnevets, V Mnih, S Osindero, A Graves, O Vinyals, J Agapiou
Advances in Neural Information Processing Systems, 3486-3494, 2016
Modeling image patches with a directed hierarchy of Markov random fields
S Osindero, GE Hinton
Advances in neural information processing systems, 1121-1128, 2008
Kickstarting Deep Reinforcement Learning
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ...
arXiv preprint arXiv:1803.03835, 2018
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