Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Gauge CNNs and Manifold Learning
This chapter delves into the use of gauge convolutional neural networks for analyzing complex structures like manifolds, with applications in fields such as weather prediction and medical analysis. The discussion includes the advantages of gauge equivariant networks and the exploration of meshed manifolds compared to traditional graphs in deep learning.
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