University of Connecticut

Events Calendar

Mathematics Colloquium
An Application Of Quiver Theory To Machine Learning
Siu-Cheong Lau (Boston University)

Thursday, September 16, 2021
3:30pm – 4:30pm

Storrs Campus
Online

Quiver representation theory is an important tool in Lie theory and mathematical physics. It has produced a lot of interesting examples in noncommutative geometry.

Deep learning shares a common setup with quiver theory. Namely, they both concern about representations of a directed graph by vector spaces. On the other hand, non-linear activation functions play a key role in deep learning, but they were not found in quiver theory. It is natural to ask for a unified point of view towards the two subjects.

In this talk, I will explain how to run deep learning over the moduli space of quiver representations. Using uniformization of metrics, we will see that the usual Euclidean setup is a special instance of our formulation.

Contact:

Kyu-Hwan Lee

Mathematics Colloquium (primary), College of Liberal Arts and Sciences, UConn Master Calendar

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