| 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 30, 2017 | 1514 | 2017 |
| On the importance of single directions for generalization AS Morcos, DGT Barrett, NC Rabinowitz, M Botvinick arXiv preprint arXiv:1803.06959, 2018 | 278 | 2018 |
| Measuring abstract reasoning in neural networks D Barrett, F Hill, A Santoro, A Morcos, T Lillicrap International Conference on Machine Learning, 4477-4486, 2018 | 235* | 2018 |
| Cognitive psychology for deep neural networks: A shape bias case study S Ritter, DGT Barrett, A Santoro, MM Botvinick International conference on machine learning, 2940-2949, 2017 | 184 | 2017 |
| 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 | 111 | 2017 |
| On the origin of implicit regularization in stochastic gradient descent SL Smith, B Dherin, DGT Barrett, S De arXiv preprint arXiv:2101.12176, 2021 | 92 | 2021 |
| Analyzing biological and artificial neural networks: challenges with opportunities for synergy? DGT Barrett, AS Morcos, JH Macke Current opinion in neurobiology 55, 55-64, 2019 | 88 | 2019 |
| Learning to make analogies by contrasting abstract relational structure F Hill, A Santoro, DGT Barrett, AS Morcos, T Lillicrap arXiv preprint arXiv:1902.00120, 2019 | 65 | 2019 |
| Implicit gradient regularization DGT Barrett, B Dherin arXiv preprint arXiv:2009.11162, 2020 | 64 | 2020 |
| Learning optimal spike-based representations R Bourdoukan, DGT Barrett, C Machens, S Deneve Advances in Neural Information Processing Systems 25, 2294-2302, 2012 | 58 | 2012 |
| An explicitly relational neural network architecture M Shanahan, K Nikiforou, A Creswell, C Kaplanis, D Barrett, M Garnelo International Conference on Machine Learning, 8593-8603, 2020 | 51 | 2020 |
| Optimal compensation for neuron loss DGT Barrett, S Deneve, CK Machens Elife 5, e12454, 2016 | 45 | 2016 |
| Building machines that learn and think for themselves M Botvinick, DGT Barrett, P Battaglia, N de Freitas, D Kumaran, JZ Leibo, ... Behavioral and Brain Sciences 40, 2017 | 31* | 2017 |
| Spectral inference networks: Unifying spectral methods with deep learning D Pfau, S Petersen, A Agarwal, D Barrett, K Stachenfeld arXiv preprint arXiv:1806.02215 2, 2018 | 27* | 2018 |
| Firing rate predictions in optimal balanced networks DG Barrett, S Denève, CK Machens Advances in Neural Information Processing Systems 26, 2013 | 21 | 2013 |
| Taking plateau into microgravity: The formation of an eightfold vertex in a system of soap films DGT Barrett, S Kelly, EJ Daly, MJ Dolan, W Drenckhan, D Weaire, ... Microgravity-Science and Technology 20, 17-22, 2008 | 20 | 2008 |
| Sparse coding of birdsong and receptive field structure in songbirds G Greene, DGT Barrett, K Sen, C Houghton Network: Computation in neural systems 20 (3), 162-177, 2009 | 11 | 2009 |
| 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 | 6 | 2019 |
| Discretization drift in two-player games MC Rosca, Y Wu, B Dherin, D Barrett International Conference on Machine Learning, 9064-9074, 2021 | 5 | 2021 |
| Why neural networks find simple solutions: the many regularizers of geometric complexity B Dherin, M Munn, M Rosca, DGT Barrett arXiv preprint arXiv:2209.13083, 2022 | 3 | 2022 |
Adam SantoroDeepMindVerified email at google.com
