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2020 – today
- 2022
[b1]Marko Kleine Büning:
Formal Verification of Industrial Software and Neural Networks. Karlsruhe Institute of Technology, Germany, 2022- [c7]Marko Kleine Büning, Johannes Meuer, Carsten Sinz:
Refined Modularization for Bounded Model Checking Through Precondition Generation. ICFEM 2022: 209-226 - [i4]Philipp Kern, Marko Kleine Büning, Carsten Sinz:
Optimized Symbolic Interval Propagation for Neural Network Verification. CoRR abs/2212.08567 (2022) - 2021
- [c6]Samuel Teuber
, Marko Kleine Büning, Philipp Kern, Carsten Sinz:
Geometric Path Enumeration for Equivalence Verification of Neural Networks. ICTAI 2021: 200-208 - [i3]Samuel Teuber, Marko Kleine Büning, Philipp Kern, Carsten Sinz:
Geometric Path Enumeration for Equivalence Verification of Neural Networks. CoRR abs/2112.06582 (2021) - 2020
- [c5]Marko Kleine Büning, Philipp Kern, Carsten Sinz:
Verifying Equivalence Properties of Neural Networks with ReLU Activation Functions. CP 2020: 868-884 - [c4]Marko Kleine Büning, Carsten Sinz, David Faragó:
QPR Verify: A Static Analysis Tool for Embedded Software Based on Bounded Model Checking. VSTTE 2020: 21-32 - [i2]Samuel Teuber, Marko Kleine Büning, Carsten Sinz:
An Incremental Abstraction Scheme for Solving Hard SMT-Instances over Bit-Vectors. CoRR abs/2008.10061 (2020)
2010 – 2019
- 2019
- [c3]Marko Kleine Büning, Tomás Balyo, Carsten Sinz:
Using DimSpec for Bounded and Unbounded Software Model Checking. ICFEM 2019: 19-35 - [c2]Marko Kleine Büning, Carsten Sinz:
Automatic Modularization of Large Programs for Bounded Model Checking. ICFEM 2019: 186-202 - 2018
- [c1]Bernhard Beckert, Simon Bischof, Mihai Herda, Michael Kirsten, Marko Kleine Büning:
Using Theorem Provers to Increase the Precision of Dependence Analysis for Information Flow Control. ICFEM 2018: 284-300 - [i1]Marko Kleine Büning, Tomás Balyo, Carsten Sinz:
Unbounded Software Model Checking with Incremental SAT-Solving. CoRR abs/1802.04174 (2018)
Coauthor Index
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