Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations

Pablo Carrasco, Gonzalo Muñoz

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…