Holomorphic feedforward networks

Michael R. Douglas (Simons Center for Geometry and Physics)

12-Apr-2022, 15:00-16:00 (2 years ago)

Abstract: A very popular model in machine learning is the feedforward neural network (FFN). After a brief introduction to machine learning, we describe FFNs which represent sections of holomorphic line bundles on complex manifolds, and software which uses them to get numerical approximations to Ricci flat Kähler metrics.

algebraic geometrydifferential geometrysymplectic geometry

Audience: researchers in the topic


Geometria em Lisboa (IST)

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