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...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Online Access: | https://doi.org/10.1371/journal.pone.0261029 |