Deep-layer limit and stability analysis of the basic forward-backward-splitting induced network (II): learning problems 事件

Deep-layer limit and stability analysis of the basic forward-backward-splitting induced network (II): learning problems arXiv:2605.27133v1 Announce Type: cross Abstract: Deep unfolding neural networks derived from iterative optimization schemes and numerical ordinary/partial differential equations (ODEs/PDEs) have attracted much attention in data science over the last decade. Therein, numerous important network architectures were constructed from the basic forward-backward-splitting (FBS) algor