Multi-ResNets for Subspace Preconditioning in Constrained Optimization 事件

Multi-ResNets for Subspace Preconditioning in Constrained Optimization arXiv:2606.06300v1 Announce Type: new Abstract: We propose MResOpt, a staged residual neural network architecture for constrained optimization problems. Our architecture fits within predict-complete-correct pipelines and decomposes constraint satisfaction by priority through intermediate re-completion and stage-aware losses. The framework enables domain-informed ordered constraint satisfaction which allows the network to uti