Data-driven methods for analysing nonlinear propagation in optical fibres
This thesis aims to apply machine learning methods specifically tailored to the analysis and interpretation of optical pulses as they propagate in a single pass through an optical fiber, and under a variety of conditions. In particular, we will focus on data-driven model discovery approaches that involve the use of machine learning to analyze physi...
