Quiver representations and neural networks
Claudio Bartocci - Università di Genova
The theory of quiver representations has recently been used by some authors to provide an algebro- geometric formulation for neural networks in machine learning. Two different approaches to this issue will be examined and compared. In particular, G. Jeffrey and S. Lau’s attempt to construct activation functions as toric moment maps will be discussed.
Claudio Bartocci is a mathematician working at the University of Genova (Italy). His recent research focuses on moduli spaces of quiver representations.
March 218th 2022, 15:00
Room 508, UniGe DIMA, Via Dodecaneso 35, Genova, Italy.
Streaming will be available at the link below.