Overview
Laurens van der Maaten is a machine-learning researcher (at the time of the paper, Tilburg University; later Delft and a research director at Meta AI / FAIR), known for dimensionality reduction and representation learning.
Key Contributions / Features
- t-SNE (van der Maaten-Hinton 2008): with Hinton, the standard high-dimensional data-visualization method, and later Barnes-Hut-SNE for scalability.
- Work on metric learning, self-supervised representation learning, and efficient neural-network methods.
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