T4V: Exploring Neural Network Architectures that Improve the Scalability of Neural Network Verification

Vivian Lin, Radoslav Ivanov, James Weimer, Oleg Sokolsky, Insup Lee. T4V: Exploring Neural Network Architectures that Improve the Scalability of Neural Network Verification. In Jean-François Raskin, Krishnendu Chatterjee, Laurent Doyen 0001, Rupak Majumdar, editors, Principles of Systems Design - Essays Dedicated to Thomas A. Henzinger on the Occasion of His 60th Birthday. Volume 13660 of Lecture Notes in Computer Science, pages 585-603, Springer, 2022. [doi]

@inproceedings{LinIWSL22,
  title = {T4V: Exploring Neural Network Architectures that Improve the Scalability of Neural Network Verification},
  author = {Vivian Lin and Radoslav Ivanov and James Weimer and Oleg Sokolsky and Insup Lee},
  year = {2022},
  doi = {10.1007/978-3-031-22337-2_28},
  url = {https://doi.org/10.1007/978-3-031-22337-2_28},
  researchr = {https://researchr.org/publication/LinIWSL22},
  cites = {0},
  citedby = {0},
  pages = {585-603},
  booktitle = {Principles of Systems Design - Essays Dedicated to Thomas A. Henzinger on the Occasion of His 60th Birthday},
  editor = {Jean-François Raskin and Krishnendu Chatterjee and Laurent Doyen 0001 and Rupak Majumdar},
  volume = {13660},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-22337-2},
}