Non-Euclidean Universal Approximation | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=dlKUQHnIoe0


Duration: 35:07
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For slides and more information on the paper, visit https://ai.science/e/non-euclidean-universal-approximation--20210211

Speaker: Anastasis Kratsios, Léonie Papon; Host: Nour Fahmy

Motivation:
This paper builds universal approximators between spaces of non-degenerate Gaussian measures. It also obtains a quantitative version of the universal approximation theorem for classical deep narrow feed-forward networks with general activation functions.



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