An analytic theory of convolutional neural network inverse problems solvers

ArXi:2601.10334v2 Announce Type: replace-cross Supervised convolutional neural networks (CNNs) are widely used to solve imaging inverse problems, achieving state-of-the-art performance in numerous applications. However, despite their empirical success, these methods are poorly understood from a theoretical perspective and often treated as black boxes.