Hassabis Demis

Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK.

Show Academic Trajectory

Ego Network

D-Core

Research Interests

Author Statistics

Experience

Education

Bio

None

Papers60 papers

Sort

By YearBy Citation

Unveiling the predictive power of static structure in glassy systems

Victor Bapst, Thomas Keck,Agnieszka Grabska-Barwinska, Craig Donner,Ekin Dogus Cubuk,Sam Schoenholz, Annette Obika, Alexander Nelson, Trevor Back,Demis Hassabis,Pushmeet Kohli

Bulletin of the American Physical Society, (2020)

Bibtex

Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neurons

Irina Higgins, Le Chang, Victoria Langston,Demis Hassabis,Christopher Summerfield, Doris Tsao,Matthew Botvinick

Bibtex

MEMO: A Deep Network for Flexible Combination of Episodic Memories

Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster,Martin J. Chadwick, Vinicius Zambaldi,Demis Hassabis, Caswell Barry,Matthew Botvinick, Dharshan Kumaran,Charles Blundell

ICLR, (2020)

Cited by3EIBibtex

A distributional code for value in dopamine-based reinforcement learning

Will Dabney,Zeb Kurth-Nelson,Naoshige Uchida, Clara Kwon Starkweather,Demis Hassabis,Rémi Munos,Matthew Botvinick

Nat., no. 7792 (2020): 671-675

Cited by51WOSEIBibtex

Improved protein structure prediction using potentials from deep learning

Andrew W Senior, Richard Evans, John Jumper, James Kirkpatrick,Laurent Sifre, Tim Green,Chongli Qin, Augustin Žídek, Alexander W R Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen

Nat., no. 7792 (2020): 706-710

Cited by204WOSEIBibtex

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Schrittwieser Julian,Antonoglou Ioannis, Hubert Thomas,Simonyan Karen,Sifre Laurent, Schmitt Simon,Guez Arthur,Lockhart Edward,Hassabis Demis,Graepel Thore,Lillicrap Timothy,Silver David

Nature, no. 7839 (2019): 604-609

Cited by106WOSBibtex

Protein structure prediction using multiple deep neural networks in CASP13

Andrew W Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W R Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen

Proteins, (2019)

WOSBibtex

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

Max Jaderberg,Wojciech M Czarnecki,Iain Dunning, Luke Marris,Guy Lever, Antonio Garcia Castañeda,Charles Beattie,Neil C Rabinowitz,Ari S Morcos,Avraham Ruderman, Nicolas Sonnerat, Tim Green

Science (New York, N.Y.), no. 6443 (2019): 859-865

Cited by257WOSBibtex

Reinforcement Learning, Fast and Slow

Matthew Botvinick, Sam Ritter,Jane X. Wang,Zeb Kurth-Nelson,Charles Blundell,Demis Hassabis

Trends in Cognitive Sciences, (2019)

Cited by71Bibtex

Slow escape decisions are swayed by trait anxiety

Bowen J Fung,Song Qi,Demis Hassabis,Nathaniel Daw,Dean Mobbs

Nature human behaviour, pp.1, (2019)

WOSBibtex

Memory-based Parameter Adaptation

Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia,Benigno Uria,Oriol Vinyals,Demis Hassabis,Razvan Pascanu,Charles Blundell

ICLR, (2018)

Cited by45EIBibtex

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents

Joel Z. Leibo, Cyprien de Masson d'Autume,Daniel Zoran, David Amos,Charles Beattie, Keith Anderson, Antonio García Castañeda, Manuel Sanchez, Simon Green, Audrunas Gruslys,Shane Legg,Demis Hassabis

arXiv: Artificial Intelligence, (2018)

Cited by5EIBibtex

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play