Model selection and explainability in neural networks using a polytope interpolation framework

Sarath Shekkizhar, Antonio Ortega. Model selection and explainability in neural networks using a polytope interpolation framework. In 55th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2021, Pacific Grove, CA, USA, October 31 - November 3, 2021. pages 177-181, IEEE, 2021. [doi]

@inproceedings{ShekkizharO21,
  title = {Model selection and explainability in neural networks using a polytope interpolation framework},
  author = {Sarath Shekkizhar and Antonio Ortega},
  year = {2021},
  doi = {10.1109/IEEECONF53345.2021.9723382},
  url = {https://doi.org/10.1109/IEEECONF53345.2021.9723382},
  researchr = {https://researchr.org/publication/ShekkizharO21},
  cites = {0},
  citedby = {0},
  pages = {177-181},
  booktitle = {55th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2021, Pacific Grove, CA, USA, October 31 - November 3, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-5828-3},
}