Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations
arXiv:2410.23362v2 Announce Type: replace-cross
Abstract: The non-convex nature of trained neural networks has created significant obstacles in their incorporation into optimization models. In this context, Anderson et al. (2020) provided a framework …