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cs.LO2025
Comparing differentiable logics for learning with logical constraints
Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan
Extensive research on formal verification of machine learning systems indicates that learning from data alone often fails to capture underlying background knowledge, such as specif…
cs.LO2024
Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report
Syed Ali Asadullah Bukhari, Thomas Flinkow, Medet Inkarbekov +2
The increased reliance of self-driving vehicles on neural networks opens up the challenge of their verification. In this paper we present an experience report, describing a case st…