MAX JADERBERG

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I work at Isomorphic Labs, where we are reimagining the entire drug discovery process from first principles with AI. To learn more about our work, check out my TED talk on how AI is accelerating science, and this podcast about how we are approaching drug design with AI.

Selected Publications (full list)

Accurate structure prediction of biomolecular interactions with AlphaFold 3

J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ...

14338 citations | Nature 630 (8016), 493-500, 2024

Spatial Transformer Networks

M Jaderberg, K Simonyan, A Zisserman, K Kavukcuoglu

11023 citations | 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, ...

6916 citations | nature 575 (7782), 350-354, 2019

Value-decomposition networks for cooperative multi-agent learning

P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ...

2920 citations | arXiv preprint arXiv:1706.05296, 2017

Speeding up Convolutional Neural Networks with Low Rank Expansions

M Jaderberg, A Vedaldi, A Zisserman

2004 citations | BMVC 2014, 2014

Reinforcement learning with unsupervised auxiliary tasks

M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ...

1636 citations | ICLR 2017 (Oral), 2016

Reading Text in the Wild with Convolutional Neural Networks

M Jaderberg, K Simonyan, A Vedaldi, A Zisserman

1481 citations | IJCV May 2015, 2014

Feudal networks for hierarchical reinforcement learning

AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ...

1420 citations | ICML 2017, 2017

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition

M Jaderberg, K Simonyan, A Vedaldi, A Zisserman

1344 citations | NIPS Deep Learning Workshop 2014, 2014

Human-level performance in 3D multiplayer games with population-based reinforcement learning

M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ...

1226 citations | Science 364 (6443), 859-865, 2019

Population based training of neural networks

M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ...

1183 citations | arXiv preprint arXiv:1711.09846, 2017

Deep Features for Text Spotting

M Jaderberg, A Vedaldi, A Zisserman

838 citations | ECCV 2014, 2014

Stabilizing transformers for reinforcement learning

E Parisotto, F Song, J Rae, R Pascanu, C Gulcehre, S Jayakumar, ...

633 citations | International conference on machine learning, 7487-7498, 2020

Decoupled neural interfaces using synthetic gradients

M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ...

512 citations | ICML 2017, 2016

Unsupervised Learning of 3D Structure from Images

DJ Rezende, SM Eslami, S Mohamed, P Battaglia, M Jaderberg, N Heess

462 citations | NIPS 2016, 2016

Sobolev Training for Neural Networks

WM Czarnecki, S Osindero, M Jaderberg, G Świrszcz, R Pascanu

419 citations | NIPS 2017, 2017

Grounded language learning in a simulated 3d world

KM Hermann, F Hill, S Green, F Wang, R Faulkner, H Soyer, D Szepesvari, ...

372 citations | arXiv preprint arXiv:1706.06551, 2017

Deep Structured Output Learning for Unconstrained Text Recognition

M Jaderberg, K Simonyan, A Vedaldi, A Zisserman

318 citations | ICLR 2015 (Oral), 2014

Open-ended learning in symmetric zero-sum games

D Balduzzi, M Garnelo, Y Bachrach, W Czarnecki, J Perolat, M Jaderberg, ...

261 citations | 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, ...

252 citations | arXiv preprint arXiv:2107.12808, 2021