Discovering symmetry invariants and conserved quantities by interpreting siamese neural networks
Sebastian J. Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh · Physical Review Research · 2020
The authors train a Siamese neural network to decide whether two different descriptions describe the same physical object. The neural network learns to identify the objects by calculating the underlying invariants and conserved quantities.