5 citations · 5 across the 4 of their papers we have counts for
4 papers
Robustness in sparse artificial neural networks trained with adaptive topology
Bendegúz Sulyok, Gergely Palla, Filippo Radicchi +1
We investigate the robustness of sparse artificial neural networks trained with adaptive topology. We focus on a simple yet effective architecture consisting of three sparse layers…
Network geometry of the Drosophila brain
Bendegúz Sulyok, Sámuel G. Balogh, Gergely Palla
The recent reconstruction of the Drosophila brain provides a neural network of unprecedented size and level of details. In this work, we study the geometrical properties of this sy…
CLOVE: Travelling Salesman's approach to hyperbolic embeddings of complex networks with communities
Sámuel G. Balogh, Bendegúz Sulyok, Tamás Vicsek +1
The embedding of complex networks into metric spaces has become a research topic of high interest with a wide variety of proposed methods. Low dimensional hyperbolic spaces offer a…
Greedy routing optimisation in hyperbolic networks
Bendegúz Sulyok, Gergely Palla
Finding the optimal embedding of networks into low-dimensional hyperbolic spaces is a challenge that received considerable interest in recent years, with several different approach…