This blog introduces a geometric framework for machine learning algorithm design. As an attempt to illustrate this geometric viewpoint for information decomposition and learning, we also provide demos of the algorithms implemented in PyTorch.
Feel free to try these demos on your own data and tasks!
Contributors: Lizhong Zheng and Xiangxiang Xu.
Learn More:
Neural Feature Learning in Function Space, JMLR, vol25(142), 2024. [Github]
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