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, ...

12840 citations | Nature 630 (8016), 493-500, 2024

Spatial Transformer Networks

M Jaderberg, K Simonyan, A Zisserman, K Kavukcuoglu

10896 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, ...

6793 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, ...

2817 citations | arXiv preprint arXiv:1706.05296, 2017

Speeding up Convolutional Neural Networks with Low Rank Expansions

M Jaderberg, A Vedaldi, A Zisserman

1985 citations | BMVC 2014, 2014

Reinforcement learning with unsupervised auxiliary tasks

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

1624 citations | ICLR 2017 (Oral), 2016

Reading Text in the Wild with Convolutional Neural Networks

M Jaderberg, K Simonyan, A Vedaldi, A Zisserman

1469 citations | IJCV May 2015, 2014

Feudal networks for hierarchical reinforcement learning

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

1390 citations | ICML 2017, 2017

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition

M Jaderberg, K Simonyan, A Vedaldi, A Zisserman

1329 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, ...

1211 citations | Science 364 (6443), 859-865, 2019

Population based training of neural networks

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

1145 citations | arXiv preprint arXiv:1711.09846, 2017

Deep Features for Text Spotting

M Jaderberg, A Vedaldi, A Zisserman

830 citations | ECCV 2014, 2014

Stabilizing transformers for reinforcement learning

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

615 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, ...

503 citations | ICML 2017, 2016

Unsupervised Learning of 3D Structure from Images

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

459 citations | NIPS 2016, 2016

Sobolev Training for Neural Networks

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

408 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, ...

370 citations | arXiv preprint arXiv:1706.06551, 2017

Deep Structured Output Learning for Unconstrained Text Recognition

M Jaderberg, K Simonyan, A Vedaldi, A Zisserman

317 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, ...

255 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, ...

251 citations | arXiv preprint arXiv:2107.12808, 2021