Algorithm Unrolling: Interpretable, Efficient Deep Learning for Sig&Img (2019)

Summary

The article discusses "algorithm unrolling," a technique that transforms iterative optimization algorithms into interpretable deep neural networks, particularly for signal and image processing tasks. This approach offers improved efficiency and transparency compared to traditional deep learning methods, potentially making AI models more understandable and reliable in critical applications.