280 citations · 1.7k across the 60 of their papers we have counts for
4 papers · 1 filter
Multiplex visibility graphs to investigate recurrent neural networks dynamics
Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi +1
A recurrent neural network (RNN) is a universal approximator of dynamical systems, whose performance often depends on sensitive hyperparameters. Tuning of such hyperparameters may…
Training Echo State Networks with Regularization through Dimensionality Reduction
Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen
In this paper we introduce a new framework to train an Echo State Network to predict real valued time-series. The method consists in projecting the output of the internal layer of…
Manifold unwrapping using density ridges
Jonas Nordhaug Myhre, Matineh Shaker, Devrim Kaba +2
Research on manifold learning within a density ridge estimation framework has shown great potential in recent work for both estimation and de-noising of manifolds, building on the…
Optimized Kernel Entropy Components
Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen +2
This work addresses two main issues of the standard Kernel Entropy Component Analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gau…