Unsupervised machine learning account of magnetic transitions in the Hubbard model

Kelvin Ch'ng, Nick Vazquez, Ehsan Khatami

We employ several unsupervised machine learning techniques, including autoencoders, random trees embedding, and t-distributed stochastic neighboring ensemble (t-SNE), to reduce the…