5 citations · 5 across the 1 of their papers we have counts for
2 papers
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…
cs.NE2016
An Approach to Stable Gradient Descent Adaptation of Higher-Order Neural Units
Ivo Bukovsky, Noriyasu Homma
Stability evaluation of a weight-update system of higher-order neural units (HONUs) with polynomial aggregation of neural inputs (also known as classes of polynomial neural network…