Massively Parallel Methods for Deep Reinforcement Learning. - Arun Nair; Praveen Srinivasan; Sam Blackwell; Cagdas Alcicek; Rory Fearon; Alessandro De Maria; Vedavyas Panneershelvam; Mustafa Suleyman; Charles Beattie; Stig Petersen; Shane Legg; Volodymyr Mnih; et al. (CoRR, 2015)

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. - Stanislav Nikolov; Sam Blackwell; Ruheena Mendes; Jeffrey De Fauw; Clemens Meyer; Cían Hughes; Harry Askham; Bernardino Romera-Paredes; Alan Karthikesalingam; Carlton Chu; Dawn Carnell; Cheng Boon; et al. (CoRR, 2018)

A Deep Learning Approach for Characterizing Major Galaxy Mergers. - Skanda Koppula; Victor Bapst; Marc Huertas-Company; Sam Blackwell; Agnieszka Grabska-Barwinska; Sander Dieleman; Andrea Huber; Natasha Antropova; Mikolaj Binkowski; Hannah Openshaw; Adrià Recasens; Fernando Caro; et al. (CoRR, 2021)

Advancing mathematics by guiding human intuition with AI. - Alex Davies; Petar Velickovic; Lars Buesing; Sam Blackwell; Daniel Zheng; Nenad Tomasev; Richard Tanburn; Peter W. Battaglia; Charles Blundell; András Juhász; Marc Lackenby; Geordie Williamson; et al. (Nat., 2021)

Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network. - Johannes Bausch; Andrew W. Senior; Francisco J. H. Heras; Thomas Edlich; Alex Davies; Michael Newman; Cody Jones; Kevin J. Satzinger; Murphy Yuezhen Niu; Sam Blackwell; George Holland; Dvir Kafri; et al. (CoRR, 2023)

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. - Abbas Mehrabian; Ankit Anand; Hyunjik Kim; Nicolas Sonnerat; Matej Balog; Gheorghe Comanici; Tudor Berariu; Andrew Lee; Anian Ruoss; Anna Bulanova; Daniel Toyama; Sam Blackwell; et al. (IJCAI, 2024)

The unknotting number, hard unknot diagrams, and reinforcement learning. - Taylor Applebaum; Sam Blackwell; Alex Davies; Thomas Edlich; András Juhász; Marc Lackenby; Nenad Tomasev; Daniel Zheng (CoRR, 2024)

Learning high-accuracy error decoding for quantum processors. - Johannes Bausch; Andrew W. Senior; Francisco J. H. Heras; Thomas Edlich; Alex Davies; Michael Newman; Cody Jones; Kevin J. Satzinger; Murphy Yuezhen Niu; Sam Blackwell; George Holland; Dvir Kafri; et al. (Nat., 2024)

Scaling and logic in the colour code on a superconducting quantum processor. - Nathan Lacroix; Alexandre Bourassa; Francisco J. H. Heras; L. M. Zhang; Johannes Bausch; Andrew W. Senior; Thomas Edlich; Noah Shutty; V. Sivak; Andreas Bengtsson; Matthew J. McEwen; O. Higgott; et al. (Nat., 2025)

Advancing Geometry with AI: Multi-agent Generation of Polytopes. - Grzegorz Swirszcz; Adam Zsolt Wagner; Geordie Williamson; Sam Blackwell; Bogdan Georgiev; Alex Davies; S. M. Ali Eslami; Sébastien Racanière; Theophane Weber; Pushmeet Kohli (CoRR, 2025)