most citedA Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2021★ 5 cited

A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings

Ivo Bukovsky, Gejza Dohnal, Peter M. Benes +2

This letter summarizes and proves the concept of bounded-input bounded-state (BIBS) stability for weight convergence of a broad family of in-parameter-linear nonlinear neural archi…