2019

Eigenvalue distribution of nonlinear models of random matrices

Benigni, Lucas, Péché, Sandrine

Understand

This paper is concerned with the asymptotic empirical eigenvalue distribution of a non linear random matrix ensemble.

  • More precisely we consider $M= \frac{1}{m} YY^*$ with $Y=f(WX)$ where $W$ and $X$ are random rectangular matrices with i.i.d.
  • centered entries.
  • The function $f$ is applied pointwise and can be seen as an activation function in (random) neural networks.

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