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Universal Approximation with Certified Networks

Universal Approximation with Certified Networks

30 September 2019
Maximilian Baader
M. Mirman
Martin Vechev
ArXivPDFHTML

Papers citing "Universal Approximation with Certified Networks"

5 / 5 papers shown
Title
The Fundamental Limits of Interval Arithmetic for Neural Networks
The Fundamental Limits of Interval Arithmetic for Neural Networks
M. Mirman
Maximilian Baader
Martin Vechev
32
6
0
09 Dec 2021
A Review of Formal Methods applied to Machine Learning
A Review of Formal Methods applied to Machine Learning
Caterina Urban
Antoine Miné
46
55
0
06 Apr 2021
On the Paradox of Certified Training
On the Paradox of Certified Training
Nikola Jovanović
Mislav Balunović
Maximilian Baader
Martin Vechev
OOD
28
13
0
12 Feb 2021
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo Li
AAML
38
128
0
09 Sep 2020
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
251
1,842
0
03 Feb 2017
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