Topological Machine Learning I: Features and Kernels

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The first part of this two-part lecture series will gently introduce some aspects of modern machine learning research, followed by an overview of how topological features can be integrated into deep learning models. A particular focus will be given to methods working with unstructured data like point clouds.

Thanks to Federico Cantero, Carles Casacuberta, and Aniceto Murillo for the invitation.
  1. Bastian Grossenbacher-Rieck
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Комментарии
Автор

This is such great content. Thanks for sharing!

InfiniteQuest
Автор

Hi Bastian. Wonderful talk! Do you have any performance benchmarks for topological VaEs?

ParadoxicalAp
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