Unsupervised machine learning of topological phase transitions from experimental data. - Niklas Käming; Anna Dawid; Korbinian Kottmann; Maciej Lewenstein; Klaus Sengstock; Alexandre Dauphin; Christof Weitenberg (Mach. Learn. Sci. Technol., 2021)

Machine-Learning Enhanced Studies of Quantum Many-Body Systems using Experimental and Numerical Data - Niklas Käming (2024)