Max Jaderberg
Max Jaderberg
Chief AI Scientist, Isomorphic Labs
Verified email at - Homepage
Cited by
Cited by
Spatial Transformer Networks
M Jaderberg, K Simonyan, A Zisserman, K Kavukcuoglu
NIPS 2015 (Spotlight), 2015
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
nature 575 (7782), 350-354, 2019
Speeding up Convolutional Neural Networks with Low Rank Expansions
M Jaderberg, A Vedaldi, A Zisserman
BMVC 2014, 2014
Value-decomposition networks for cooperative multi-agent learning
P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ...
arXiv preprint arXiv:1706.05296, 2017
Reinforcement learning with unsupervised auxiliary tasks
M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ...
ICLR 2017 (Oral), 2016
Reading Text in the Wild with Convolutional Neural Networks
M Jaderberg, K Simonyan, A Vedaldi, A Zisserman
IJCV May 2015, 2014
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
M Jaderberg, K Simonyan, A Vedaldi, A Zisserman
NIPS Deep Learning Workshop 2014, 2014
Feudal networks for hierarchical reinforcement learning
AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ...
ICML 2017, 2017
Human-level performance in 3D multiplayer games with population-based reinforcement learning
M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ...
Science 364 (6443), 859-865, 2019
Population based training of neural networks
M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ...
arXiv preprint arXiv:1711.09846, 2017
Deep Features for Text Spotting
M Jaderberg, A Vedaldi, A Zisserman
ECCV 2014, 2014
Unsupervised Learning of 3D Structure from Images
DJ Rezende, SM Eslami, S Mohamed, P Battaglia, M Jaderberg, N Heess
NIPS 2016, 2016
Decoupled neural interfaces using synthetic gradients
M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ...
ICML 2017, 2016
Stabilizing transformers for reinforcement learning
E Parisotto, F Song, J Rae, R Pascanu, C Gulcehre, S Jayakumar, ...
International conference on machine learning, 7487-7498, 2020
Grounded language learning in a simulated 3d world
KM Hermann, F Hill, S Green, F Wang, R Faulkner, H Soyer, D Szepesvari, ...
arXiv preprint arXiv:1706.06551, 2017
Deep Structured Output Learning for Unconstrained Text Recognition
M Jaderberg, K Simonyan, A Vedaldi, A Zisserman
ICLR 2015 (Oral), 2014
Sobolev Training for Neural Networks
WM Czarnecki, S Osindero, M Jaderberg, G Świrszcz, R Pascanu
NIPS 2017, 2017
Accurate structure prediction of biomolecular interactions with AlphaFold 3
J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ...
Nature, 1-3, 2024
Open-ended learning in symmetric zero-sum games
D Balduzzi, M Garnelo, Y Bachrach, W Czarnecki, J Perolat, M Jaderberg, ...
International Conference on Machine Learning, 434-443, 2019
Open-Ended Learning Leads to Generally Capable Agents
OEL Team, A Stooke, A Mahajan, C Barros, C Deck, J Bauer, J Sygnowski, ...
arXiv preprint arXiv:2107.12808, 2021
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