Laurens van der Maaten
Work by Laurens van der Maaten ranges from data visualization to convolutional networks. With Geoffrey Hinton, he published Visualizing Data using t-SNE in 2008. He completed a doctorate at Tilburg University in 2009 and joined Facebook AI Research in March 2015. His paper Densely Connected Convolutional Networks, written with Gao Huang, Zhuang Liu and Kilian Weinberger, won a Best Paper Award at CVPR 2017. As of October 2026, he is a member of technical staff at Anthropic.
Timeline
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2008
t-SNE with Geoffrey Hinton
He and Geoffrey Hinton publish Visualizing Data using t-SNE in 2008.
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2009
A doctorate at Tilburg
He earns a doctorate from Tilburg University in 2009.
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March 2015
Joining Facebook AI Research
He joins Facebook AI Research in March 2015, after working as an assistant professor at Delft University of Technology and a post-doctoral researcher at UC San Diego.
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August 2016
Densely connected networks
He co-authors Densely Connected Convolutional Networks with Gao Huang, Zhuang Liu and Kilian Weinberger, and the arXiv version appears in August 2016.
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2017
A CVPR Best Paper Award
Densely Connected Convolutional Networks wins a Best Paper Award at CVPR 2017.
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As of October 2026
Member of technical staff at Anthropic
He is a member of technical staff at Anthropic, after a post as a distinguished research scientist at Meta AI.
Sources and credits
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- Visualizing Data using t-SNE
- t-distributed stochastic neighbor embedding - Wikipedia
- Laurens van der Maaten - Wikidata
- Laurens van der Maaten – Laurens van der Maaten
- [1608.06993] Densely Connected Convolutional Networks
- GitHub - liuzhuang13/DenseNet: Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). · GitHub
- Zhuang Liu from YaoClass 30 Honored with Best Paper Award at CVPR 2017-Institute for Interdisciplinary Information Sciences (IIIS)