Adam Santoro
Adam Santoro
Google DeepMind
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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
Meta-Learning with Memory-Augmented Neural Networks
A Santoro, S Bartunov, M Botvinick, D Wierstra, T Lillicrap
Proceedings of The 33rd International Conference on Machine Learning, 1842-1850, 2016
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
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Backpropagation and the brain
TP Lillicrap, A Santoro, L Marris, CJ Akerman, G Hinton
Nature Reviews Neuroscience, 1-12, 2020
Deep reinforcement learning with relational inductive biases
V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ...
International Conference on Learning Representations, 2018
Measuring abstract reasoning in neural networks
A Santoro, F Hill, D Barrett, A Morcos, T Lillicrap
International Conference on Machine Learning, 4477-4486, 2018
Assessing the scalability of biologically-motivated deep learning algorithms and architectures
S Bartunov, A Santoro, BA Richards, GE Hinton, T Lillicrap
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
Structural foundations of optogenetics: Determinants of channelrhodopsin ion selectivity
A Berndt, SY Lee, J Wietek, C Ramakrishnan, EE Steinberg, AJ Rashid, ...
Proceedings of the National Academy of Sciences 113 (4), 822-829, 2016
Cognitive psychology for deep neural networks: A shape bias case study
S Ritter, DGT Barrett, A Santoro, MM Botvinick
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Unsupervised Predictive Memory in a Goal-Directed Agent
G Wayne, CC Hung, D Amos, M Mirza, A Ahuja, A Grabska-Barwinska, ...
arXiv preprint arXiv:1803.10760, 2018
Data Distributional Properties Drive Emergent Few-Shot Learning in Transformers
SCY Chan, A Santoro, AK Lampinen, JX Wang, A Singh, PH Richemond, ...
arXiv preprint arXiv:2205.05055, 2022
Backpropagation through time and the brain
TP Lillicrap, A Santoro
Current Opinion in Neurobiology 55, 82-89, 2019
Patterns across multiple memories are identified over time
BA Richards, F Xia, A Santoro, J Husse, MA Woodin, SA Josselyn, ...
Nature neuroscience 17 (7), 981-986, 2014
Environmental drivers of systematicity and generalization in a situated agent
F Hill, A Lampinen, R Schneider, S Clark, M Botvinick, JL McClelland, ...
International Conference on Learning Representations, 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
Reassessing pattern separation in the dentate gyrus
A Santoro
Frontiers in behavioral neuroscience 7, 96, 2013
Learning visual question answering by bootstrapping hard attention
M Malinowski, C Doersch, A Santoro, P Battaglia
Proceedings of the European Conference on Computer Vision (ECCV), 3-20, 2018
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