Data-driven Machine Learning Methods in Nonlinear Fiber Optics: Recent Advances

Recent years have seen tremendous interest studying the complex dynamics of guided wave propagation using data-driven machine learning. In this paper, we review our recent advances in this field, reporting how supervised and unsupervised machine learning techniques can deepen our understanding of complex nonlinear and dispersive interactions during optical fiber propagation.