Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model

Kacper Cybiński, Marcin Płodzień, Michał Tomza +3

Machine learning (ML) is a promising tool for the detection of phases of matter. However, ML models are also known for their black-box construction, which hinders understanding of…