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[HTML][HTML] Survey on mining signal temporal logic specifications
Formal specifications play an essential role in the life-cycle of modern systems, both at the
time of their design and during their operation. Despite their importance, formal …
time of their design and during their operation. Despite their importance, formal …
Toward verified artificial intelligence
Toward verified artificial intelligence Page 1 46 COMMUNICATIONS OF THE ACM | JULY
2022 | VOL. 65 | NO. 7 contributed articles ILL US TRA TION B Y PETER CRO W THER A …
2022 | VOL. 65 | NO. 7 contributed articles ILL US TRA TION B Y PETER CRO W THER A …
Compositional falsification of cyber-physical systems with machine learning components
Abstract Cyber-physical systems (CPS), such as automotive systems, are starting to include
sophisticated machine learning (ML) components. Their correctness, therefore, depends on …
sophisticated machine learning (ML) components. Their correctness, therefore, depends on …
Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods
This paper presents a technique, named STLCG, to compute the quantitative semantics of
Signal Temporal Logic (STL) formulas using computation graphs. STLCG provides a …
Signal Temporal Logic (STL) formulas using computation graphs. STLCG provides a …
Offline and online learning of signal temporal logic formulae using decision trees
G Bombara, C Belta - ACM Transactions on Cyber-Physical Systems, 2021 - dl.acm.org
In this article, we focus on inferring high-level descriptions of a system from its execution
traces. Specifically, we consider a classification problem where system behaviors are …
traces. Specifically, we consider a classification problem where system behaviors are …
Learning task specifications from demonstrations
Real-world applications often naturally decompose into several sub-tasks. In many settings
(eg, robotics) demonstrations provide a natural way to specify the sub-tasks. However, most …
(eg, robotics) demonstrations provide a natural way to specify the sub-tasks. However, most …
Temporal-logic-based semantic fault diagnosis with time-series data from industrial internet of things
The maturity of sensor network technologies has facilitated the emergence of an industrial
Internet of Things (IIoT), which has collected an increasing volume of data. Converting these …
Internet of Things (IIoT), which has collected an increasing volume of data. Converting these …
Interpretable classification of time-series data using efficient enumerative techniques
Cyber-physical system applications such as autonomous vehicles, wearable devices, and
avionic systems generate a large volume of time-series data. Designers often look for tools …
avionic systems generate a large volume of time-series data. Designers often look for tools …
Interpretable safety validation for autonomous vehicles
An open problem for autonomous driving is how to validate the safety of an autonomous
vehicle in simulation. Automated testing procedures can find failures of an autonomous …
vehicle in simulation. Automated testing procedures can find failures of an autonomous …
Mining road traffic rules with signal temporal logic and grammar-based genetic programming
Traffic systems, where human and autonomous drivers interact, are a very relevant instance
of complex systems and produce behaviors that can be regarded as trajectories over time …
of complex systems and produce behaviors that can be regarded as trajectories over time …