[P] Signal denoising using iterative computation and residual connections • r/MachineLearning

I was thinking recently that neural networks with residual connections appear to be doing a sort of approximate iterative inference of features (more details in the long post). Highway and residual networks learn unrolled iterative estimation. Residual Connections Encourage Iterative Inference. Have you guys know some other paper that I may be missing in the area? Specially ones that try to isolate the effect of adding residual connections?