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Output Range Analysis for Deep Neural Networks

Output Range Analysis for Deep Neural Networks

26 September 2017
Souradeep Dutta
Susmit Jha
S. Sankaranarayanan
A. Tiwari
    AAML
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Papers citing "Output Range Analysis for Deep Neural Networks"

5 / 5 papers shown
Title
An Abstraction-Based Framework for Neural Network Verification
An Abstraction-Based Framework for Neural Network Verification
Y. Elboher
Justin Emile Gottschlich
Guy Katz
94
124
0
31 Oct 2019
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
290
1,849
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
198
935
0
21 Oct 2016
Measuring Neural Net Robustness with Constraints
Measuring Neural Net Robustness with Constraints
Osbert Bastani
Yani Andrew Ioannou
Leonidas Lampropoulos
Dimitrios Vytiniotis
A. Nori
A. Criminisi
AAML
50
423
0
24 May 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization
PLATO: Policy Learning using Adaptive Trajectory Optimization
G. Kahn
Tianhao Zhang
Sergey Levine
Pieter Abbeel
42
136
0
02 Mar 2016
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