2 papers
cs.CE2026
Unsupervised Learning for AC Optimal Power Flow with Fast Physics-Aware Layer
Jiebao Zhang, Haoyu Yan, Zhichao Sheng +4
Learning to solve the Alternating Current Optimal Power Flow (AC-OPF) problem by neural networks (NNs) is a promising approach in real-time applications. Existing methods to ensure…
cs.LG2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
Haixiang Sun, Ye Shi
Deep Equilibrium Model (DEQ), which serves as a typical implicit neural network, emphasizes their memory efficiency and competitive performance compared to explicit neural networks…