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ARCH-COMP19 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants

https://doi.org/10.29007/rgv8
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inferred← citeshttps://doi.org/10.1007/978-3-031-15839-1_15openalex-snapshot
Reachability Analysis of a General Class of Neural Ordinary Differential Equations
inferred← citeshttps://doi.org/10.1007/978-3-031-37703-7_19openalex-snapshot
NNV 2.0: The Neural Network Verification Tool
inferred← citeshttps://doi.org/10.1007/978-3-031-46002-9_12openalex-snapshot
Track C1: Safety Verification of Deep Neural Networks (DNNs)
inferred← citeshttps://doi.org/10.1007/978-3-031-46002-9_21openalex-snapshot
Empirical Analysis of Benchmark Generation for the Verification of Neural Network Image Classifiers
inferred← citeshttps://doi.org/10.1007/978-3-031-67695-6_1openalex-snapshot
The ARCH-COMP Friendly Verification Competition for Continuous and Hybrid Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-91118-7_9openalex-snapshot
Neural Network Verification is a Programming Language Challenge
inferred← citeshttps://doi.org/10.1007/s10009-023-00703-4openalex-snapshot
First three years of the international verification of neural networks competition (VNN-COMP)
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109238openalex-snapshot
Neural networks in closed-loop systems: Verification using interval arithmetic and formal prover
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112475openalex-snapshot
Fault localization of AI-enabled cyber–physical systems by exploiting temporal neuron activation
inferred← citeshttps://doi.org/10.1109/mdat.2020.3015712openalex-snapshot
Verification Approaches for Learning-Enabled Autonomous Cyber–Physical Systems
inferred← citeshttps://doi.org/10.1145/3419742openalex-snapshot
Verifying the Safety of Autonomous Systems with Neural Network Controllers
inferred← citeshttps://doi.org/10.29007/kfk9openalex-snapshot
ARCH-COMP21 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferred← citeshttps://doi.org/10.29007/wfgropenalex-snapshot
ARCH-COMP22 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferred← citeshttps://doi.org/10.29007/x38nopenalex-snapshot
ARCH-COMP23 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferred← citeshttps://doi.org/10.4204/eptcs.371.0.2openalex-snapshot
Formal Verification for Neural Networks in Autonomous Cyber-Physical Systems
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.