Concentration of measure for non-linear random matrices with applications to neural networks and non-commutative polynomials

Documenti analoghi

• Norms of structured random matrices
  di: Adamczak, Radosław, et al.
  Pubblicazione: (2021)
• Genus expansion for non-linear random matrix ensembles with applications to neural networks
  di: Cirone, Nicola Muca, et al.
  Pubblicazione: (2024)
• The $\ell_r$-Levy-Grothendieck problem and $r\rightarrow p$ norms of Levy matrices
  di: Ramanan, Kavita, et al.
  Pubblicazione: (2024)
• Upper and lower bounds for the Lipschitz constant of random neural networks
  di: Geuchen, Paul, et al.
  Pubblicazione: (2023)
• Global law of conjugate kernel random matrices with heavy-tailed weights
  di: Guionnet, Alice, et al.
  Pubblicazione: (2025)