Neuroscience

Publication

Graph schemas as abstractions for transfer learning, inference, and planning

Swaroop Guntupalli, Rajkumar Vasudeva Raju, Shrinu Kushagra, Carter Wendelken, Danny Sawyer, Ishan Deshpande, Stannis Zhou, Miguel Lazaro-Gredilla, Dileep George

arXiv

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How fair is your graph? Addressing fairness concerns in neuroimaging studies

Ira Ktena, Fernanda Ribeiro *, Valentina Shumovskaia *, Thomas Davies *

Machine Learning for Healthcare 2022

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Mine Your Own vieW: Self-supervised learning through across-sample prediction

Mehdi Azabou *, Mohammad Gheshlaghi Azar, Ran Liu *, Chi-Heng Lin *, Erik Johnson *, Kiran Bhaskaran-Nair *, Max Dabagia *, Bernardo Avila Pires, Lindsey Kitchell *, keith hengen *, William Gray Roncal *, Michal Valko, E Dyer *

NeurIPS Workshop

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What can classic Atari video games tell us about the human brain?

Raphael Koster, Martin Chadwick

Neuron

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Representation learning for improved interpretability and classification accuracy of clinical factors from EEG

Garrett Honke *, Irina Higgins, Nina Thigpen *, Vladimir Miskovic *, Katie Link *, Sunny Duan *, Pramod Gupta *, Julia Klawohn *, Greg Hajcak *

ICLR

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Learning to swim in potential flow

Yusheng Jiao *, Feng Ling *, Sina Heydari *, Eva Kanso *, Nicolas Heess, Josh Merel

arXiv

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Deep Reinforcement Learning and its Neuroscientific Implications

Matt Botvinick, Jane Wang, Will Dabney, K Miller, Zeb Kurth-Nelson

Neuron

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A Practical Sparse Approximation for Real Time Recurrent Learning

Jacob Menick, Erich Elsen, Utku Evci *, Simon Osindero, Karen Simonyan, Alexander Graves

arXiv

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Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

Felix Hill, Sona Mokra, Nathaniel Wong, Tim Harley

arXiv

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Publication

Levels of Analysis for Machine Learning

Jess Hamrick, Shakir Mohamed

ICLR

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Publication

Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning

Kevin McKee, Ian Gemp, Brian McWilliams, Edgar Duéñez-Guzmán, Edward Hughes, Joel Leibo

arXiv

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Product Kanerva Machines: Factorized Bayesian Memory

Adam Marblestone, Yan Wu, Gregory Wayne

arXiv

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Publication

Sideways: Depth-Parallel Training of Video Models

Mateusz Malinowski, Grzegorz Swirszcz, Joao Carreira, Viorica Patraucean

arXiv

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A distributional code for value in dopamine-based reinforcement learning

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

Nature

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Extending Machine Language Models toward Human-Level Language Understanding

JL McClelland *, Felix Hill, Maja Rudolph *, Jason Baldridge *, H Schütze *

arXiv

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Publication

Deep Neuroethology of a Virtual Rodent

Josh Merel, Diego Aldarondo *, Jesse Marshall *, Yuval Tassa, Gregory Wayne, Bence Ölveczky *

arXiv

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Publication

What does it mean to understand a neural network?

Timothy Lillicrap, K P Kording *

arXiv

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Publication

General non-linear Bellman equations

Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, André Barreto

RLDM

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Publication

Interval Timing in Deep Reinforcement Learning Agents

Ben Deverett, Ryan Faulkner, Meire Fortunato, Gregory Wayne, Joel Z. Leibo

arXiv

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Publication

Metacontrol for adaptive imagination-based optimization

Jess Hamrick, Andy Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter Battaglia

ICLR

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Publication

Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?

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

arXiv

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Publication

Reinforcement learning, fast and slow

Matt Botvinick, Samuel Ritter, Jane Wang, Zeb Kurth-Nelson, Charles Blundell, Demis Hassabis

Trends in Cognitive Sciences

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Publication

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

Jakob Foerster, Francis Song, Edward Hughes, Neil Burch, Iain Dunning, S Whiteson, Matt Botvinick, Michael Bowling

arXiv

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Optimizing Agent Behavior over Long Time Scales by Transporting Value

Chia-Chun Hung, Timothy Lillicrap, Josh Abramson, Yan Wu, Mehdi Mirza, Federico Carnevale, Arun Ahuja, Gregory Wayne

arXiv

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Publication

Subgoal- and Goal-Related Prediction Errors in Medial Prefrontal Cortex

J Ribas-Fernandes *, D Shahnazian *, C Holroyd *, Matt Botvinick

Journal of Cognitive Neuroscience

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Publications

Neuroscience