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Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations
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| Título de la Revista: | MATHEMATICAL PROGRAMMING |
| Editorial: | SPRINGER HEIDELBERG |
| URL: | https://arxiv.org/abs/2410.23362 |
| Notas: | WOS. URL corresponds to preprint. Article status is currently accepted and in production |