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A Unified View of SDP-based Neural Network Verification through
  Completely Positive Programming

A Unified View of SDP-based Neural Network Verification through Completely Positive Programming

6 March 2022
Robin Brown
Edward Schmerling
Navid Azizan
Marco Pavone
    AAML
ArXivPDFHTML

Papers citing "A Unified View of SDP-based Neural Network Verification through Completely Positive Programming"

3 / 3 papers shown
Title
TL-PCA: Transfer Learning of Principal Component Analysis
TL-PCA: Transfer Learning of Principal Component Analysis
Sharon Hendy
Yehuda Dar
155
2
0
14 Oct 2024
Discovering Closed-Loop Failures of Vision-Based Controllers via
  Reachability Analysis
Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis
Kaustav Chakraborty
Somil Bansal
28
11
0
04 Nov 2022
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
228
1,835
0
03 Feb 2017
1