Efficient Verification and Falsification of ReLU Neural Barrier Certificates
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Ren, Dejin, Xue, Yiling, Wu, Taoran, Xue, Bai |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Convex Computations for Controlled Safety Invariant Sets of Black-box Discrete-time Dynamical Systems
par: Wu, Taoran, et autres
Publié: (2025)
par: Wu, Taoran, et autres
Publié: (2025)
Controlled Reach-avoid Set Computation for Discrete-time Polynomial Systems via Convex Optimization
par: Wu, Taoran, et autres
Publié: (2025)
par: Wu, Taoran, et autres
Publié: (2025)
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions
par: Zhang, Hongchao, et autres
Publié: (2024)
par: Zhang, Hongchao, et autres
Publié: (2024)
Converse Barrier Certificates for Finite-time Safety Verification of Continuous-time Perturbed Deterministic Systems
par: Li, Yonghan, et autres
Publié: (2024)
par: Li, Yonghan, et autres
Publié: (2024)
Inner-approximate Reachability Computation via Zonotopic Boundary Analysis
par: Ren, Dejin, et autres
Publié: (2024)
par: Ren, Dejin, et autres
Publié: (2024)
Replacing K-infinity Function with Leaky ReLU in Barrier Function Design: A Union of Invariant Sets Approach for ReLU-Based Dynamical Systems
par: Samanipour, Pouya, et autres
Publié: (2025)
par: Samanipour, Pouya, et autres
Publié: (2025)
Integral Quadratic Constraints for Repeated ReLU
par: Noori, Sahel Vahedi, et autres
Publié: (2026)
par: Noori, Sahel Vahedi, et autres
Publié: (2026)
A Framework for Safe Probabilistic Invariance Verification of Stochastic Dynamical Systems
par: Wu, Taoran, et autres
Publié: (2024)
par: Wu, Taoran, et autres
Publié: (2024)
PAC One-Step Safety Certification for Black-Box Discrete-Time Stochastic Systems
par: Wu, Taoran, et autres
Publié: (2025)
par: Wu, Taoran, et autres
Publié: (2025)
ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling
par: Agyeman, Bernard T., et autres
Publié: (2024)
par: Agyeman, Bernard T., et autres
Publié: (2024)
Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks
par: Noori, Sahel Vahedi, et autres
Publié: (2024)
par: Noori, Sahel Vahedi, et autres
Publié: (2024)
ReLU Barrier Functions for Nonlinear Systems with Constrained Control: A Union of Invariant Sets Approach
par: Samanipour, Pouya, et autres
Publié: (2026)
par: Samanipour, Pouya, et autres
Publié: (2026)
Sufficient and Necessary Barrier-like Conditions for Safety and Reach-avoid Verification of Stochastic Discrete-time Systems
par: Xue, Bai
Publié: (2024)
par: Xue, Bai
Publié: (2024)
Normalization of ReLU Dual for Cut Generation in Stochastic Mixed-Integer Programs
par: Bansal, Akul, et autres
Publié: (2026)
par: Bansal, Akul, et autres
Publié: (2026)
A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizations
par: Noori, Sahel Vahedi, et autres
Publié: (2024)
par: Noori, Sahel Vahedi, et autres
Publié: (2024)
Global Convergence of Policy Gradient Methods for ReLU Controllers in Linear Quadratic Regulation
par: Rodriguez-Gil, Jhojan A., et autres
Publié: (2026)
par: Rodriguez-Gil, Jhojan A., et autres
Publié: (2026)
ReLU Networks for Model Predictive Control: Network Complexity and Performance Guarantees
par: Li, Xingchen, et autres
Publié: (2026)
par: Li, Xingchen, et autres
Publié: (2026)
Efficient reformulations of ReLU deep neural networks for surrogate modelling in power system optimisation
par: Kumar, Yogesh Pipada Sunil, et autres
Publié: (2026)
par: Kumar, Yogesh Pipada Sunil, et autres
Publié: (2026)
On the constrained feedback linearization control based on the MILP representation of a ReLU-ANN
par: Do, Huu-Thinh, et autres
Publié: (2024)
par: Do, Huu-Thinh, et autres
Publié: (2024)
Discrete-Time Stability Analysis of ReLU Feedback Systems via Integral Quadratic Constraints
par: Noori, Sahel Vahedi, et autres
Publié: (2025)
par: Noori, Sahel Vahedi, et autres
Publié: (2025)
Nonlinear Dynamics In Optimization Landscape of Shallow Neural Networks with Tunable Leaky ReLU
par: Liu, Jingzhou
Publié: (2025)
par: Liu, Jingzhou
Publié: (2025)
Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control
par: Lamperski, Andrew, et autres
Publié: (2024)
par: Lamperski, Andrew, et autres
Publié: (2024)
Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications
par: Lamperski, Andrew, et autres
Publié: (2024)
par: Lamperski, Andrew, et autres
Publié: (2024)
Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling
par: Zhao, Cunzhi, et autres
Publié: (2023)
par: Zhao, Cunzhi, et autres
Publié: (2023)
Finite-time Safety and Reach-avoid Verification of Stochastic Discrete-time Systems
par: Xue, Bai
Publié: (2024)
par: Xue, Bai
Publié: (2024)
Monotone Neural Barrier Certificates
par: Jafarpour, Saber, et autres
Publié: (2025)
par: Jafarpour, Saber, et autres
Publié: (2025)
SEROAISE: Advancing ROA Estimation for ReLU and PWA Dynamics through Estimating Certified Invariant Sets
par: Samanipour, Pouya, et autres
Publié: (2025)
par: Samanipour, Pouya, et autres
Publié: (2025)
PAC Finite-Time Safety Guarantees for Stochastic Systems with Unknown Disturbance Distributions
par: Wu, Taoran, et autres
Publié: (2026)
par: Wu, Taoran, et autres
Publié: (2026)
Set-Based Training of Neural Barrier Certificates for Safety Verification of Dynamical Systems
par: Kranzlmüller, Miriam, et autres
Publié: (2026)
par: Kranzlmüller, Miriam, et autres
Publié: (2026)
Scalable Synthesis and Verification of String Stable Neural Certificates for Interconnected Systems
par: Zhou, Jingyuan, et autres
Publié: (2025)
par: Zhou, Jingyuan, et autres
Publié: (2025)
Verification of Diagnosability for Cyber-Physical Systems: A Hybrid Barrier Certificate Approach
par: Zhong, Bingzhuo, et autres
Publié: (2024)
par: Zhong, Bingzhuo, et autres
Publié: (2024)
Comparative Analysis of Barrier-like Function Methods for Reach-Avoid Verification in Stochastic Discrete-Time Systems
par: Cao, Zhipeng, et autres
Publié: (2025)
par: Cao, Zhipeng, et autres
Publié: (2025)
Learning Neural Hybrid Surrogates for Gradient-Based Falsification
par: Kötz, Lasse, et autres
Publié: (2026)
par: Kötz, Lasse, et autres
Publié: (2026)
Quantitative Verification of Finite-Time Constrained Occupation Measures for Continuous-time Stochastic Systems
par: Xue, Bai, et autres
Publié: (2026)
par: Xue, Bai, et autres
Publié: (2026)
Quantitative Verification of Constrained Occupation Time for Stochastic Discrete-time Systems
par: Xue, Bai, et autres
Publié: (2026)
par: Xue, Bai, et autres
Publié: (2026)
Verification of Quantum Circuits through Discrete-Time Barrier Certificates
par: Lewis, Marco, et autres
Publié: (2024)
par: Lewis, Marco, et autres
Publié: (2024)
Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings
par: Schön, Oliver, et autres
Publié: (2024)
par: Schön, Oliver, et autres
Publié: (2024)
Optimal Control-Based Falsification of Learnt Dynamics via Neural ODEs and Symbolic Regression
par: Kötz, Lasse, et autres
Publié: (2026)
par: Kötz, Lasse, et autres
Publié: (2026)
Formal Synthesis of Certifiably Robust Neural Lyapunov-Barrier Certificates
par: Wang, Chengxiao, et autres
Publié: (2026)
par: Wang, Chengxiao, et autres
Publié: (2026)
Refined Barrier Conditions for Finite-Time Safety and Reach-Avoid Guarantees in Stochastic Systems
par: Xue, Bai, et autres
Publié: (2025)
par: Xue, Bai, et autres
Publié: (2025)
Documents similaires
-
Convex Computations for Controlled Safety Invariant Sets of Black-box Discrete-time Dynamical Systems
par: Wu, Taoran, et autres
Publié: (2025) -
Controlled Reach-avoid Set Computation for Discrete-time Polynomial Systems via Convex Optimization
par: Wu, Taoran, et autres
Publié: (2025) -
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions
par: Zhang, Hongchao, et autres
Publié: (2024) -
Converse Barrier Certificates for Finite-time Safety Verification of Continuous-time Perturbed Deterministic Systems
par: Li, Yonghan, et autres
Publié: (2024) -
Inner-approximate Reachability Computation via Zonotopic Boundary Analysis
par: Ren, Dejin, et autres
Publié: (2024)