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Relational inductive biases, deep learning, and graph networks.

P. Battaglia, J. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner, Ç. Gülçehre, H. Song, A. Ballard, J. Gilmer, G. Dahl, A. Vaswani, K. Allen, C. Nash, V. Langston, C. Dyer, N. Heess, D. Wierstra, P. Kohli, M. Botvinick, O. Vinyals, Y. Li, and R. Pascanu. CoRR, (2018)

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Francesca Santoro

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Relational inductive biases, deep learning, and graph networksP. Battaglia, J. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures.D. Ding, F. Hill, A. Santoro, and M. Botvinick. CoRR, (2020)Automated curriculum generation through setter-solver interactions.S. Racanière, A. Lampinen, A. Santoro, D. Reichert, V. Firoiu, and T. Lillicrap. ICLR, OpenReview.net, (2020)A data-driven approach for learning to control computers.P. Humphreys, D. Raposo, T. Pohlen, G. Thornton, R. Chhaparia, A. Muldal, J. Abramson, P. Georgiev, A. Santoro, and T. Lillicrap. ICML, volume 162 of Proceedings of Machine Learning Research, page 9466-9482. PMLR, (2022)Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.D. Raposo, S. Ritter, B. Richards, T. Lillicrap, P. Humphreys, and A. Santoro. CoRR, (2024)One-shot Learning with Memory-Augmented Neural NetworksA. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap. CoRR, (2016)Data Distributional Properties Drive Emergent In-Context Learning in Transformers.S. Chan, A. Santoro, A. Lampinen, J. Wang, A. Singh, P. Richemond, J. McClelland, and F. Hill. NeurIPS, (2022)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.A. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 440 other author(s). CoRR, (2022)Meta-Learning with Memory-Augmented Neural Networks.A. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap. ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1842-1850. JMLR.org, (2016)Environmental drivers of systematicity and generalization in a situated agent.F. Hill, A. Lampinen, R. Schneider, S. Clark, M. Botvinick, J. McClelland, and A. Santoro. ICLR, OpenReview.net, (2020)

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Disambiguation of "Santoro, Adam"

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Relational inductive biases, deep learning, and graph networks.

Please choose a person to relate this publication to

Francesca Santoro

Michele Santoro

Anthony Santoro

Maurizio Santoro

Pablo Santoro

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Santoro, Adam"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Relational inductive biases, deep learning, and graph networks.

Please choose a person to relate this publication to

Francesca Santoro

Michele Santoro

Anthony Santoro

Maurizio Santoro

Pablo Santoro

Other publications of authors with the same name

Disambiguation

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Chicago
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Relational inductive biases, deep learning, and graph networks.