MAX JADERBERG

X LinkedIn Google Scholar

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, ...

21584 citations | Nature 630 (8016), 493-500, 2024

Spatial Transformer Networks

M Jaderberg, K Simonyan, A Zisserman, K Kavukcuoglu

11603 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, ...

7493 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, ...

3452 citations | arXiv preprint arXiv:1706.05296, 2017

Speeding up Convolutional Neural Networks with Low Rank Expansions

M Jaderberg, A Vedaldi, A Zisserman

2091 citations | BMVC 2014, 2014

Reinforcement learning with unsupervised auxiliary tasks

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

1718 citations | ICLR 2017 (Oral), 2016

Feudal networks for hierarchical reinforcement learning

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

1625 citations | ICML 2017, 2017

Reading Text in the Wild with Convolutional Neural Networks

M Jaderberg, K Simonyan, A Vedaldi, A Zisserman

1525 citations | IJCV May 2015, 2014

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition

M Jaderberg, K Simonyan, A Vedaldi, A Zisserman

1387 citations | NIPS Deep Learning Workshop 2014, 2014

Population based training of neural networks

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

1353 citations | arXiv preprint arXiv:1711.09846, 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, ...

1122 citations | Science 364 (6443), 859-865, 2019

Deep Features for Text Spotting

M Jaderberg, A Vedaldi, A Zisserman

840 citations | ECCV 2014, 2014

Stabilizing transformers for reinforcement learning

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

746 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, ...

561 citations | ICML 2017, 2016

Sobolev Training for Neural Networks

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

552 citations | NIPS 2017, 2017

Unsupervised Learning of 3D Structure from Images

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

473 citations | NIPS 2016, 2016

Grounded language learning in a simulated 3d world

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

394 citations | arXiv preprint arXiv:1706.06551, 2017

Deep Structured Output Learning for Unconstrained Text Recognition

M Jaderberg, K Simonyan, A Vedaldi, A Zisserman

321 citations | ICLR 2015 (Oral), 2014

Open-Ended Learning Leads to Generally Capable Agents

OEL Team, A Stooke, A Mahajan, C Barros, C Deck, J Bauer, J Sygnowski, ...

291 citations | arXiv preprint arXiv:2107.12808, 2021

Open-ended learning in symmetric zero-sum games

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

287 citations | International conference on machine learning, 434-443, 2019