Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks

Sebastian J. Wetzel, Roger G. Melko, Joseph Scott +2

In this paper, we introduce interpretable Siamese Neural Networks (SNN) for similarity detection to the field of theoretical physics. More precisely, we apply SNNs to events in spe…