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Hassabis Demis

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

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Papers63 papers

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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

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

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

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

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

Learning and Querying Fast Generative Models for Reinforcement Learning

Lars Buesing,Theophane Weber, Sébastien Racanière,S. M. Ali Eslami,Danilo Jimenez Rezende,David P. Reichert,Fabio Viola, Frederic Besse,Karol Gregor,Demis Hassabis,Daan Wierstra

arXiv: Learning, (2018)

Cited by52EIBibtex

SCAN: Learning Hierarchical Compositional Visual Concepts

Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P. Burgess,Matko Bosnjak,Murray Shanahan,Matthew Botvinick,Demis Hassabis, Alexander Lerchner

international conference on learning representations, (2018)

Cited by76EIBibtex

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

David Silver, Thomas Hubert, Julian Schrittwieser,Ioannis Antonoglou, Matthew Lai,Arthur Guez,Marc Lanctot,Laurent Sifre,Dharshan Kumaran,Thore Graepel,Timothy Lillicrap,Karen Simonyan

Science (New York, N.Y.), no. 6419 (2018): 1140-1144

Cited by896WOSBibtex

Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes

Raphael Koster,Martin J Chadwick, Yi Chen,David Berron, Andrea Banino,Emrah Düzel,Demis Hassabis,Dharshan Kumaran

Neuron, no. 6 (2018): 1342

Cited by4WOSBibtex

Neural scene representation and rendering

S M Ali Eslami,Danilo Jimenez Rezende, Frederic Besse,Fabio Viola,Ari S Morcos, Marta Garnelo,Avraham Ruderman,Andrei A Rusu,Ivo Danihelka, Karol Gregor,David P Reichert,Lars Buesing

Science (New York, N.Y.), no. 6394 (2018): 1204-1210

Cited by240WOSBibtex

Prefrontal cortex as a meta-reinforcement learning system

Jane X Wang,Zeb Kurth-Nelson,Dharshan Kumaran, Dhruva Tirumala,Hubert Soyer,Joel Z Leibo,Demis Hassabis,Matthew Botvinick

Nature neuroscience, no. 6 (2018): 860-868

Cited by17WOSBibtex

How cognitive and reactive fear circuits optimize escape decisions in humans

Song Qi,Demis Hassabis, Jiayin Sun, Fangjian Guo,Nathaniel Daw,Dean Mobbs

Proceedings of the National Academy of Sciences of the United States of America, pp.1-42, (2018)

Cited by3WOSBibtex

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning

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

arXiv: Learning, (2018)

Cited by16EIBibtex

Unsupervised Predictive Memory in a Goal-Directed Agent

Greg Wayne,Chia-Chun Hung, David Amos,Mehdi Mirza,Arun Ahuja,Agnieszka Grabska-Barwinska, Jack W. Rae,Piotr Mirowski,Joel Z. Leibo,Adam Santoro, Mevlana Gemici, Malcolm Reynolds

arXiv: Learning, (2018)

Cited by85EIBibtex

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

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