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Santoro Adam

1] Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada. [2] Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.

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Environmental drivers of systematicity and generalization in a situated agent

Felix Hill, Andrew Lampinen, Rosalia Schneider,Stephen Clark,Matthew Botvinick, James L. McClelland,Adam Santoro

ICLR, (2020)

EIBibtex

Imitating Interactive Intelligence

Josh Abramson,Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin,Stephen Clark, Andrew Dudzik, Petko Georgiev, Aurelia Guy,Tim Harley,Felix Hill, Alden Hung

Bibtex

Emergent Systematic Generalization In a Situated Agent

Felix Hill, Andrew Lampinen, Rosalia Schneider,Stephen Clark,Matthew Botvinick, James L. McClelland,Adam Santoro

international conference on learning representations, (2020)

Bibtex

Rapid Task-Solving in Novel Environments

Ritter Sam, Faulkner Ryan, Sartran Laurent,Santoro Adam,Botvinick Matt, Raposo David

Bibtex

Backpropagation and the brain

Timothy P. Lillicrap,Adam Santoro, Luke Marris,Colin J. Akerman,Geoffrey Hinton

Nature Reviews Neuroscience, pp.1-12, (2020)

Bibtex

Automated curriculum generation through setter-solver interactions

Sébastien Racanière, Andrew K. Lampinen,Adam Santoro,David P. Reichert, Vlad Firoiu,Timothy P. Lillicrap

ICLR, (2020)

EIBibtex

Automated curriculum generation through setter-solver interactions

Andrew Lampinen, Sebastien Racaniere,Adam Santoro,David Reichert, Vlad Firoiu, Timothy Lillicrap

international conference on learning representations, (2020)

Bibtex

Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures

David Ding,Felix Hill,Adam Santoro,Matt Botvinick

Bibtex

Automated curricula through setter-solver interactions

Racaniere Sebastien, Lampinen Andrew K.,Santoro Adam,Reichert David P., Firoiu Vlad,Lillicrap Timothy P.

Bibtex

Deep reinforcement learning with relational inductive biases

Vinícius Flores Zambaldi, David Raposo,Adam Santoro,Victor Bapst,Yujia Li, Igor Babuschkin,Karl Tuyls, David P. Reichert,Timothy P. Lillicrap,Edward Lockhart,Murray Shanahan, Victoria Langston

ICLR, (2019)

Cited by159EIBibtex

Hyperbolic Attention Networks

Çaglar Gülçehre,Misha Denil,Mateusz Malinowski, Ali Razavi,Razvan Pascanu,Karl Moritz Hermann,Peter Battaglia,Victor Bapst, David Raposo,Adam Santoro,Nando de Freitas

ICLR, (2019)

Cited by39EIBibtex

Is coding a relevant metaphor for building AI

Adam Santoro, Felix Hill, David Barrett, David Raposo, Matt Botvinick,Timothy Lillicrap

The Behavioral and brain sciences, (2019)

WOSBibtex

Backpropagation through time and the brain

Timothy P Lillicrap,Adam Santoro

Current Opinion in Neurobiology, (2019): 82-89

Bibtex

An investigation of model-free planning

Arthur Guez,Mehdi Mirza,Karol Gregor, Rishabh Kabra, Sébastien Racanière,Théophane Weber, David Raposo,Adam Santoro,Laurent Orseau, Tom Eccles,Greg Wayne,David Silver

International Conference on Machine Learning, (2019): 2464-2473

Cited by24EIBibtex

Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette

Adam Santoro,Felix Hill,David G. T. Barrett, David Raposo,Matthew Botvinick,Timothy P. Lillicrap

arXiv: Neurons and Cognition, (2019)

EIBibtex

Learning to Make Analogies by Contrasting Abstract Relational Structure

Felix Hill,Adam Santoro,David G. T. Barrett,Ari S. Morcos,Timothy P. Lillicrap

ICLR, (2019)

Cited by7EIBibtex

Learning Visual Question Answering by Bootstrapping Hard Attention

Mateusz Malinowski,Carl Doersch,Adam Santoro,Peter Battaglia

ECCV, (2018)

Cited by42EIBibtex

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures

Sergey Bartunov,Adam Santoro,Blake A. Richards,Geoffrey E. Hinton,Timothy P. Lillicrap

NeurIPS, (2018)

Cited by72EIBibtex

Relational Deep Reinforcement Learning

Vinícius Flores Zambaldi, David Raposo,Adam Santoro,Victor Bapst,Yujia Li, Igor Babuschkin,Karl Tuyls,David P. Reichert,Timothy P. Lillicrap,Edward Lockhart,Murray Shanahan, Victoria Langston

arXiv: Learning, (2018)

Cited by159EIBibtex

Relational inductive biases, deep learning, and graph networks

Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst,Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi,Mateusz Malinowski,Andrea Tacchetti, David Raposo,Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, Francis Song

arXiv: Learning, (2018)

Cited by837EIBibtex

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