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…