| 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 | 1970 | 2017 |
| Measuring abstract reasoning in neural networks D Barrett, F Hill, A Santoro, A Morcos, T Lillicrap International Conference on Machine Learning, 4477-4486, 2018 | 390* | 2018 |
| On the importance of single directions for generalization AS Morcos, DGT Barrett, NC Rabinowitz, M Botvinick arXiv preprint arXiv:1803.06959, 2018 | 382 | 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 | 252 | 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 | 229 | 2021 |
| Implicit gradient regularization DGT Barrett, B Dherin arXiv preprint arXiv:2009.11162, 2020 | 169 | 2020 |
| Capabilities of gemini models in medicine K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ... arXiv preprint arXiv:2404.18416, 2024 | 140 | 2024 |
| 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 | 140 | 2019 |
| Discovering Objects and Their Relations from Entangled Scene Representations D Raposo arXiv preprint arXiv:1702.05068, 2017 | 130 | 2017 |
| 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 | 99 | 2019 |
| 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 | 79 | 2020 |
| Learning optimal spike-based representations R Bourdoukan, DGT Barrett, C Machens, S Deneve Advances in Neural Information Processing Systems 25, 2294-2302, 2012 | 75 | 2012 |
| Optimal compensation for neuron loss DGT Barrett, S Deneve, CK Machens Elife 5, e12454, 2016 | 67 | 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 | 55* | 2017 |
| Spectral inference networks: Unifying spectral methods with deep learning D Pfau, S Petersen, A Agarwal, DGT Barrett, KL Stachenfeld CoRR, 2018 | 51* | 2018 |
| Why neural networks find simple solutions: The many regularizers of geometric complexity B Dherin, M Munn, M Rosca, D Barrett Advances in Neural Information Processing Systems 35, 2333-2349, 2022 | 36 | 2022 |
| Advancing multimodal medical capabilities of Gemini L Yang, S Xu, A Sellergren, T Kohlberger, Y Zhou, I Ktena, A Kiraly, ... arXiv preprint arXiv:2405.03162, 2024 | 31 | 2024 |
| Firing rate predictions in optimal balanced networks DG Barrett, S Denève, CK Machens Advances in Neural Information Processing Systems 26, 2013 | 25 | 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 | 21 | 2008 |
| Discretization drift in two-player games MC Rosca, Y Wu, B Dherin, D Barrett International Conference on Machine Learning, 9064-9074, 2021 | 16 | 2021 |
Adam SantoroGoogle DeepMindEmail verificata su google.com
