Open access
2026
A Physics-Informed Dual-Stem Neural Network With Data Generation Engine for Label-Scarce and Sparse-Data Inverse Problems
Results demonstrate effective label-scarce estimation in this case, while extension to other inverse problems requires an affordable differentiable forward model, sufficiently accurate coarse localization, and structured mismatch that can be learned from scarce measurements.
Yuan Zhang, Jiao Zhao, Lin Chen et al.
· IEEE Access · 0 citations