  We study non-classical pathways and quantum interference in enhanced
ionisation of diatomic molecules in strong laser fields using machine learning
techniques. Quantum interference provides a bridge, which facilitates
intramolecular population transfer. Its frequency is higher than that of the
field, intrinsic to the system and depends on several factors, for instance the
state of the initial wavepacket or the internuclear separation. Using
dimensionality reduction techniques, namely t-distributed stochastic neighbour
embedding (t-SNE) and principal component analysis (PCA), we investigate the
effect of multiple parameters at once and find optimal conditions for enhanced
ionisation in static fields, and controlled ionisation release for two-colour
driving fields. This controlled ionisation manifests itself as a step-like
behaviour in the time-dependent autocorrelation function. We explain the
features encountered with phase-space arguments, and also establish a hierarchy
of parameters for controlling ionisation via phase-space Wigner
quasiprobability flows, such as specific coherent superpositions of states,
electron localisation and internuclear-distance ranges.
