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A deep learning framework for neuroscience
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In: Nature Neuroscience, Vol. 22, No. 11, 01.11.2019, p. 1761-1770.
Research output: Contribution to journal › Review article › peer-review
Richards, BA, Lillicrap, TP, Beaudoin, P, Bengio, Y, Bogacz,...
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Find Research outputs
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Open Access
Research output: Contribution to journal › Comment/debate › peer-review
Research output: Contribution to journal › Article › peer-review
Open Access
Research output: Contribution to journa...
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Machine Learning for Causal Inference
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AU - Hill, Jennifer
AU - Dorie, Vincent
N1 - Publisher Copyright:
© 2023 selection and editorial matter, José Zubizarreta, Elizabeth A. Stuart, Dylan S. Small, Paul R. Rosenbaum; individual chapter...
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Neural machine translation by jointly learning to align and translate
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Y1 - 2015/1/1
N2 - Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at b...
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Visualization for Machine Learning
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RIS
Xenopoulos, P., Nonato, L. G., & Silva, C. (2022). Visualization for Machine Learning. In B. M. de Carvalho, & L. M. G. Goncalves (Eds.),
Proceedings - 2022 35th Conference on Graphi...
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Intelligence: New Findings and Theoretical Developments
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@article{4f7b8ff8989b496cb77dc014df9f21c8,
title = "Intelligence: New Findings and Theoretical Developments",
abstract = "We review new findings and new theoretical developments in the field ...