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Exact Verification of ReLU Neural Control Barrier Functions

Exact Verification of ReLU Neural Control Barrier Functions

13 October 2023
Hongchao Zhang
Junlin Wu
Yevgeniy Vorobeychik
Andrew Clark
    AAML
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Papers citing "Exact Verification of ReLU Neural Control Barrier Functions"

5 / 5 papers shown
Title
Convex synthesis and verification of control-Lyapunov and barrier
  functions with input constraints
Convex synthesis and verification of control-Lyapunov and barrier functions with input constraints
Hongkai Dai
Frank Permenter
21
36
0
02 Oct 2022
Safety Index Synthesis via Sum-of-Squares Programming
Safety Index Synthesis via Sum-of-Squares Programming
Weiye Zhao
Tairan He
Tianhao Wei
Simin Liu
Changliu Liu
30
28
0
19 Sep 2022
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Charles Dawson
Zengyi Qin
Sicun Gao
Chuchu Fan
120
172
0
14 Sep 2021
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
88
292
0
09 Aug 2017
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
240
1,837
0
03 Feb 2017
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