Artificial Intelligence, Data Science, Machine Learning, Data, Deep Learning.
dimension and to scale the method to work in very high dimension. We present several numerical experiments, which show that the algorithm proposed in the present paper is extremely versatile and outperforms previous formulations with isotropic stochastic noise.