Tokyo

Wei Huang

Expert
@WeiHuang05

Research Scientist focused on Deep Learning Theory at RIKEN AIP, Japan. PhD from the University of Technology Sydney

weihuang05.github.io/

Awesome-Feature-Learning-in-Deep-Learning-Thoery. Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.

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Awesome_Large_Foundation_Model_Theory. Welcome to the 'In Context Learning Theory' Reading Group

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Mean-field-theory-for-deep-dropout-networks. Jupyter Notebook

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Graph-Neural-Tangent-Kernel-for-Node-Classification. Jupyter Notebook

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Python-Program. Python

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Neural-Tangent-Kernel-with-Orthogonal-Initialization. code for the paper 'On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization'

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