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Neural Network Verification as Piecewise Linear Optimization:
  Formulations for the Composition of Staircase Functions

Neural Network Verification as Piecewise Linear Optimization: Formulations for the Composition of Staircase Functions

27 November 2022
Tu Anh-Nguyen
Joey Huchette
ArXivPDFHTML

Papers citing "Neural Network Verification as Piecewise Linear Optimization: Formulations for the Composition of Staircase Functions"

3 / 3 papers shown
Title
Formal Verification of Markov Processes with Learned Parameters
Formal Verification of Markov Processes with Learned Parameters
Muhammad Maaz
Timothy C. Y. Chan
45
0
0
27 Jan 2025
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
94
33
0
29 Apr 2023
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,842
0
03 Feb 2017
1