David Raposo
David Raposo
Google DeepMind, Champalimaud Neuroscience Programme, Cold Spring Harbor Laboratory
Verified email at
Cited by
Cited by
Relational inductive biases, deep learning, and graph networks
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
A simple neural network module for relational reasoning
A Santoro, D Raposo, DG Barrett, M Malinowski, R Pascanu, P Battaglia, ...
Advances in neural information processing systems, 4967-4976, 2017
A category-free neural population supports evolving demands during decision-making
D Raposo, MT Kaufman, AK Churchland
Nature neuroscience 17 (12), 1784-1792, 2014
Deep reinforcement learning with relational inductive biases
V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ...
Relational recurrent neural networks
A Santoro, R Faulkner, D Raposo, J Rae, M Chrzanowski, T Weber, ...
Advances in Neural Information Processing Systems, 7299-7310, 2018
Hyperbolic Attention Networks
C Gulcehre, M Denil, M Malinowski, A Razavi, R Pascanu, KM Hermann, ...
arXiv preprint arXiv:1805.09786, 2018
Multisensory decision-making in rats and humans
D Raposo, JP Sheppard, PR Schrater, AK Churchland
Journal of neuroscience 32 (11), 3726-3735, 2012
Posterior parietal cortex guides visual decisions in rats
AM Licata, MT Kaufman, D Raposo, MB Ryan, JP Sheppard, ...
Journal of Neuroscience 37 (19), 4954-4966, 2017
Causal Reasoning from Meta-reinforcement Learning
I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ...
arXiv preprint arXiv:1901.08162, 2019
Discovering objects and their relations from entangled scene representations
D Raposo, A Santoro, D Barrett, R Pascanu, T Lillicrap, P Battaglia
arXiv preprint arXiv:1702.05068, 2017
An investigation of model-free planning
A Guez, M Mirza, K Gregor, R Kabra, S Racanière, T Weber, D Raposo, ...
International Conference on Machine Learning, 2464-2473, 2019
Dynamic weighting of multisensory stimuli shapes decision-making in rats and humans
JP Sheppard, D Raposo, AK Churchland
Journal of vision 13 (6), 4-4, 2013
A data-driven approach for learning to control computers
PC Humphreys, D Raposo, T Pohlen, G Thornton, R Chhaparia, A Muldal, ...
International Conference on Machine Learning, 9466-9482, 2022
Symbolic Behaviour in Artificial Intelligence
A Santoro, A Lampinen, K Mathewson, T Lillicrap, D Raposo
arXiv preprint arXiv:2102.03406, 2021
Synthetic Returns for Long-Term Credit Assignment
D Raposo, S Ritter, A Santoro, G Wayne, T Weber, M Botvinick, ...
arXiv preprint arXiv:2102.12425, 2021
Rapid Task-Solving in Novel Environments
S Ritter, R Faulkner, L Sartran, A Santoro, M Botvinick, D Raposo
arXiv preprint arXiv:2006.03662, 2020
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
D Raposo, S Ritter, B Richards, T Lillicrap, PC Humphreys, A Santoro
arXiv preprint arXiv:2404.02258, 2024
Neural networks with relational memory
M Chrzanowski, JW Rae, R Faulkner, TG Weber, DN Raposo, AA Santoro
US Patent 10,853,725, 2020
Is coding a relevant metaphor for building AI? A commentary on" Is coding a relevant metaphor for the brain?", by Romain Brette
A Santoro, F Hill, D Barrett, D Raposo, M Botvinick, T Lillicrap
arXiv preprint arXiv:1904.10396, 2019
Generating implicit plans for accomplishing goals in an environment using attention operations over planning embeddings
S Ritter, R Faulkner, DN Raposo
US Patent App. 17/794,780, 2023
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