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Optimal training of integer-valued neural networks with mixed integer programming
Recent work has shown potential in using Mixed Integer Programming (MIP) solvers to optimize certain aspects of neural networks (NNs). However the intriguing approach of training NNs with MIP solvers is under-explored. State-of-the-art-methods to train NNs are typically gradient-based and require si...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891529/ https://www.ncbi.nlm.nih.gov/pubmed/36724189 http://dx.doi.org/10.1371/journal.pone.0261029 |