Brian Cheung

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Postdoctoral Scholar

Olshausen Lab

Current Research

I currently study emergent properties in learning algorithms. In particular, I focus on neural network models whose behavior largely depends on the knowledge it acquires from data. This includes emergent properties in unsupervised learning models such as autoencoders and active learning models such as attention.


The Redwood Center for me is a great place for alternative views and perspectives on neural networks and deep learning.