Kacper Cybiński

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

2024 · Machine Learning Science and Technology

Abstract 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 what they learn from the data …