Equivariant Splitting: Self-supervised learning from incomplete data

ArXi:2510.00929v5 Announce Type: replace Self-supervised learning for inverse problems allows to train a reconstruction network from noise and/or incomplete data alone. These methods have the potential of enabling learning-based solutions when obtaining ground-truth references for