615 citations · 957 across the 23 of their papers we have counts for
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nlin.CD2014★ 3 cited
Regular graphs maximize the variability of random neural networks
Gilles Wainrib, Mathieu Galtier
In this work we study the dynamics of systems composed of numerous interacting elements interconnected through a random weighted directed graph, such as models of random neural net…
nlin.CD2014★ 3 cited
A local Echo State Property through the largest Lyapunov exponent
Mathieu Galtier, Gilles Wainrib
Echo State Networks are efficient time-series predictors, which highly depend on the value of the spectral radius of the reservoir connectivity matrix. Based on recent results on t…
nlin.AO2014★ 1 cited
Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
Mathieu N. Galtier, Camille Marini, Gilles Wainrib +1
A method is provided for designing and training noise-driven recurrent neural networks as models of stochastic processes. The method unifies and generalizes two known separate mode…