615 citations · 957 across the 23 of their papers we have counts for
4 papers · 1 filter
Scaling up Echo-State Networks with multiple light scattering
Jonathan Dong, Sylvain Gigan, Florent Krzakala +1
Echo-State Networks and Reservoir Computing have been studied for more than a decade. They provide a simpler yet powerful alternative to Recurrent Neural Networks, every internal w…
Multi-type Galton-Watson processes with affinity-dependent selection applied to antibody affinity maturation
Irene Balelli, Vuk Milišić, Gilles Wainrib
We analyze the interactions between division, mutation and selection in a simplified evolutionary model, assuming that the population observed can be classified into fitness levels…
Branching Random Walks on Binary Strings for Evolutionary Processes
Irene Balelli, Vuk Milisic, Gilles Wainrib
In this article, we study branching random walks on graphs modeling division-mutation processes inspired by adaptive immunity. We apply the theory of expander graphs on mutation ru…
The Asymptotic Performance of Linear Echo State Neural Networks
Romain Couillet, Gilles Wainrib, Harry Sevi +1
In this article, a study of the mean-square error (MSE) performance of linear echo-state neural networks is performed, both for training and testing tasks. Considering the realisti…