Convexity in ReLU Neural Networks: beyond ICNNs?

Anne Gagneux, Mathurin Massias, Emmanuel Soubies +1

Convex functions and their gradients play a critical role in mathematical imaging, from proximal optimization to Optimal Transport. The successes of deep learning has led many to u…