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ARCH-COMP22 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants

https://doi.org/10.29007/wfgr
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4471-0249-6openalex-snapshot
Applied Interval Analysis
inferredcites →https://doi.org/10.1007/978-3-030-30942-8_39openalex-snapshot
Star-Based Reachability Analysis of Deep Neural Networks
inferredcites →https://doi.org/10.1007/978-3-030-53288-8_1openalex-snapshot
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
inferredcites →https://doi.org/10.1007/978-3-030-53288-8_2openalex-snapshot
Verification of Deep Convolutional Neural Networks Using ImageStars
inferredcites →https://doi.org/10.1007/978-3-031-19992-9_27openalex-snapshot
POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems
inferredcites →https://doi.org/10.1007/978-3-031-33170-1_2openalex-snapshot
Open- and Closed-Loop Neural Network Verification Using Polynomial Zonotopes
inferredcites →https://doi.org/10.1007/978-3-0348-8407-5_21openalex-snapshot
An Overview of Nonlinear Model Predictive Control Applications
inferredcites →https://doi.org/10.1007/978-3-319-63387-9_5openalex-snapshot
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-39799-8_18openalex-snapshot
Flow*: An Analyzer for Non-linear Hybrid Systems
inferredcites →https://doi.org/10.1016/j.ifacol.2018.08.026openalex-snapshot
Learning and Verification of Feedback Control Systems using Feedforward Neural Networks
inferredcites →https://doi.org/10.1016/j.neucom.2016.12.038openalex-snapshot
A survey of deep neural network architectures and their applications
inferredcites →https://doi.org/10.1109/87.491203openalex-snapshot
TORA example: cascade- and passivity-based control designs
inferredcites →https://doi.org/10.1109/aero53065.2022.9843750openalex-snapshot
Safe Reinforcement Learning Benchmark Environments for Aerospace Control Systems
inferredcites →https://doi.org/10.1109/ivs.2017.7995802openalex-snapshot
CommonRoad: Composable benchmarks for motion planning on roads
inferredcites →https://doi.org/10.1109/rtss.2016.011openalex-snapshot
Decomposed Reachability Analysis for Nonlinear Systems
inferredcites →https://doi.org/10.1109/tac.2003.823000openalex-snapshot
Nonlinear Control Synthesis by Convex Optimization
inferredcites →https://doi.org/10.1109/tac.2020.3024348openalex-snapshot
Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis
inferredcites →https://doi.org/10.1109/tnn.1997.557703openalex-snapshot
On the "Identification and control of dynamical systems using neural networks"
inferredcites →https://doi.org/10.1109/tnnls.2018.2808470openalex-snapshot
Output Reachable Set Estimation and Verification for Multilayer Neural Networks
inferredcites →https://doi.org/10.1109/tnnls.2020.2991090openalex-snapshot
Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach
inferredcites →https://doi.org/10.1142/9789812774750_0007openalex-snapshot
Artificial Intelligence and Life
inferredcites →https://doi.org/10.1145/2038642.2038685openalex-snapshot
Formal verification of hybrid systems
inferredcites →https://doi.org/10.1145/2883817.2883837openalex-snapshot
Scalable Static Hybridization Methods for Analysis of Nonlinear Systems
inferredcites →https://doi.org/10.1145/3302504.3311804openalex-snapshot
JuliaReach
inferredcites →https://doi.org/10.1145/3302504.3311807openalex-snapshot
Reachability analysis for neural feedback systems using regressive polynomial rule inference
inferredcites →https://doi.org/10.1145/3358230openalex-snapshot
Safety Verification of Cyber-Physical Systems with Reinforcement Learning Control
inferredcites →https://doi.org/10.1201/9781351251389-8openalex-snapshot
Adversarial Examples in the Physical World
inferredcites →https://doi.org/10.1609/aaai.v36i7.20790openalex-snapshot
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
inferredcites →https://doi.org/10.1609/aimag.v36i4.2577openalex-snapshot
Research Priorities for Robust and Beneficial Artificial Intelligence
inferredcites →https://doi.org/10.21105/jcon.00097openalex-snapshot
LazySets.jl: Scalable Symbolic-Numeric Set Computations$^*$
inferredcites →https://doi.org/10.21105/joss.01043openalex-snapshot
TaylorSeries.jl: Taylor expansions in one and several variables in Julia
inferredcites →https://doi.org/10.2307/2369430openalex-snapshot
Researches in the Lunar Theory
inferredcites →https://doi.org/10.2514/8.8704openalex-snapshot
Terminal Guidance System for Satellite Rendezvous
inferredcites →https://doi.org/10.29007/kfk9openalex-snapshot
ARCH-COMP21 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferredcites →https://doi.org/10.29007/rgv8openalex-snapshot
ARCH-COMP19 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferredcites →https://doi.org/10.29007/w19bopenalex-snapshot
Implementation of Interval Arithmetic in CORA 2016
inferredcites →https://doi.org/10.29007/wfgropenalex-snapshot
ARCH-COMP22 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferredcites →https://doi.org/10.29007/x38nopenalex-snapshot
ARCH-COMP23 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferredcites →https://doi.org/10.29007/zzc7openalex-snapshot
Implementation of Taylor models in CORA 2018
inferredcites →https://doi.org/10.4230/lipics.mfcs.2022.4openalex-snapshot
A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers
inferredcites →https://doi.org/10.48550/arxiv.1312.6199openalex-snapshot
Intriguing properties of neural networks
inferredcites →https://doi.org/10.48550/arxiv.1712.08163openalex-snapshot
Reachable Set Computation and Safety Verification for Neural Networks with ReLU Activations
inferredcites →https://doi.org/10.48550/arxiv.1803.06567openalex-snapshot
A Dual Approach to Scalable Verification of Deep Networks
inferredcites →https://doi.org/10.48550/arxiv.1805.09944openalex-snapshot
Reachability Analysis and Safety Verification for Neural Network Control Systems
inferredcites →https://doi.org/10.48550/arxiv.1810.01989openalex-snapshot
Verification for Machine Learning, Autonomy, and Neural Networks Survey
inferredcites →https://doi.org/10.48550/arxiv.1812.06161openalex-snapshot
Specification-Guided Safety Verification for Feedforward Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1906.10654openalex-snapshot
ReachNN: Reachability Analysis of Neural-Network Controlled Systems
inferredcites →https://doi.org/10.48550/arxiv.2109.00498openalex-snapshot
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Neural Network Compression of ACAS Xu Early Prototype Is Unsafe: Closed-Loop Verification Through Quantized State Backreachability
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/10.1007/978-3-031-67695-6_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/10.1007/978-3-031-94533-5_17openalex-snapshot
Verification of Autonomous Neural Car Control with KeYmaera X
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/10.1007/s10559-025-00837-0openalex-snapshot
FPGA-Based Method for Automated Design of Neural Network Controllers
inferred← citeshttps://doi.org/10.1109/codit58514.2023.10284377openalex-snapshot
Augmented Flight Management System for Future Single Pilot Operations
inferred← citeshttps://doi.org/10.1109/systol66549.2025.11267337openalex-snapshot
Methodological Pathways for Safety and Risk Mitigation in Reduced Crew Aviation Operations
inferred← citeshttps://doi.org/10.1145/3607890openalex-snapshot
Proceedings of the International Conference on Embedded Software
inferred← citeshttps://doi.org/10.1145/3644033openalex-snapshot
Proceedings of the 2024 IEEE/ACM 12th International Conference on Formal Methods in Software Engineering (FormaliSE)
inferred← citeshttps://doi.org/10.1145/3705307openalex-snapshot
SpectAcle : Fault Localisation of AI-Enabled CPS by Exploiting Sequences of DNN Controller Inferences
inferred← citeshttps://doi.org/10.1145/3773034openalex-snapshot
Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies
inferred← citeshttps://doi.org/10.1609/aaai.v36i7.20790openalex-snapshot
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
inferred← citeshttps://doi.org/10.1609/aaai.v37i12.26783openalex-snapshot
Reachability Analysis of Neural Network Control Systems
inferred← citeshttps://doi.org/10.1609/aaai.v38i19.30125openalex-snapshot
Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification
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
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