E-Globe: Scalable $ε$-Global Verification of Neural Networks via Tight Upper Bounds and Pattern-Aware Branching
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Wenting, Kazi, Saif R., Bent, Russell, Zhou, Duo, Zhang, Huan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Neural Network Verification with Branch-and-Bound for General Nonlinearities
por: Shi, Zhouxing, et al.
Publicado: (2024)
por: Shi, Zhouxing, et al.
Publicado: (2024)
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
por: Zhou, Duo, et al.
Publicado: (2024)
por: Zhou, Duo, et al.
Publicado: (2024)
LEVIS: Large Exact Verifiable Input Spaces for Neural Networks
por: Chehade, Mohamad Fares El Hajj, et al.
Publicado: (2024)
por: Chehade, Mohamad Fares El Hajj, et al.
Publicado: (2024)
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
por: Boetius, David, et al.
Publicado: (2024)
por: Boetius, David, et al.
Publicado: (2024)
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
por: Zhou, Duo, et al.
Publicado: (2025)
por: Zhou, Duo, et al.
Publicado: (2025)
BaB-prob: Branch and Bound with Preactivation Splitting for Probabilistic Verification of Neural Networks
por: Wang, Fangji, et al.
Publicado: (2025)
por: Wang, Fangji, et al.
Publicado: (2025)
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
por: Chiu, Hong-Ming, et al.
Publicado: (2025)
por: Chiu, Hong-Ming, et al.
Publicado: (2025)
Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
por: Shi, Zhouxing, et al.
Publicado: (2024)
por: Shi, Zhouxing, et al.
Publicado: (2024)
Constraint-Informed Active Learning for End-to-End ACOPF Optimization Proxies
por: Li, Miao, et al.
Publicado: (2025)
por: Li, Miao, et al.
Publicado: (2025)
TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks
por: Yao, Jianzhu, et al.
Publicado: (2025)
por: Yao, Jianzhu, et al.
Publicado: (2025)
Branch and Bound for Piecewise Linear Neural Network Verification
por: Bunel, Rudy, et al.
Publicado: (2019)
por: Bunel, Rudy, et al.
Publicado: (2019)
Artifact of GenBaB: Neural Network Verification with Branch-and-Bound for General Nonlinearities
por: Shi, Zhouxing, et al.
Publicado: (2025)
por: Shi, Zhouxing, et al.
Publicado: (2025)
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks
por: Batten, Ben, et al.
Publicado: (2024)
por: Batten, Ben, et al.
Publicado: (2024)
Public Transport Network Design for Equality of Accessibility via Message Passing Neural Networks and Reinforcement Learning
por: Wang, Duo, et al.
Publicado: (2024)
por: Wang, Duo, et al.
Publicado: (2024)
Provably Bounding Neural Network Preimages
por: Kotha, Suhas, et al.
Publicado: (2023)
por: Kotha, Suhas, et al.
Publicado: (2023)
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification
por: Fukuda, Kota, et al.
Publicado: (2025)
por: Fukuda, Kota, et al.
Publicado: (2025)
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
por: Li, Fangqi, et al.
Publicado: (2024)
por: Li, Fangqi, et al.
Publicado: (2024)
Vertex-Softmax: Tight Transformer Verification via Exact Softmax Optimization
por: Rezazadeh, Navid, et al.
Publicado: (2026)
por: Rezazadeh, Navid, et al.
Publicado: (2026)
Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees
por: Zhang, Guanqin, et al.
Publicado: (2025)
por: Zhang, Guanqin, et al.
Publicado: (2025)
Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles
por: Parameshwaran, Aditya, et al.
Publicado: (2025)
por: Parameshwaran, Aditya, et al.
Publicado: (2025)
Hierarchical Prompt-Domain Control and Learning for Resource-Constrained Agentic Language Models
por: Gallart, Joan Vendrell, et al.
Publicado: (2026)
por: Gallart, Joan Vendrell, et al.
Publicado: (2026)
Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
por: Zhang, Shao-Qun, et al.
Publicado: (2026)
por: Zhang, Shao-Qun, et al.
Publicado: (2026)
Training Safe Neural Networks with Global SDP Bounds
por: Soletskyi, Roman, et al.
Publicado: (2024)
por: Soletskyi, Roman, et al.
Publicado: (2024)
Incremental Neural Network Verification via Learned Conflicts
por: Elsaleh, Raya, et al.
Publicado: (2026)
por: Elsaleh, Raya, et al.
Publicado: (2026)
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks
por: Mali, Ankur, et al.
Publicado: (2024)
por: Mali, Ankur, et al.
Publicado: (2024)
Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning
por: Punjwani, Saif, et al.
Publicado: (2025)
por: Punjwani, Saif, et al.
Publicado: (2025)
AEBNAS: Strengthening Exit Branches in Early-Exit Networks through Hardware-Aware Neural Architecture Search
por: Robben, Oscar, et al.
Publicado: (2025)
por: Robben, Oscar, et al.
Publicado: (2025)
Neural Network Verification with PyRAT
por: Lemesle, Augustin, et al.
Publicado: (2024)
por: Lemesle, Augustin, et al.
Publicado: (2024)
Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation
por: Li, Jingyang, et al.
Publicado: (2026)
por: Li, Jingyang, et al.
Publicado: (2026)
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
por: Liu, Zongxin, et al.
Publicado: (2024)
por: Liu, Zongxin, et al.
Publicado: (2024)
V-CAGE: Context-Aware Generation and Verification for Scalable Long-Horizon Embodied Tasks
por: Liu, Yaru, et al.
Publicado: (2026)
por: Liu, Yaru, et al.
Publicado: (2026)
Tight Lower Bounds and Improved Convergence in Performative Prediction
por: Khorsandi, Pedram, et al.
Publicado: (2024)
por: Khorsandi, Pedram, et al.
Publicado: (2024)
A Projected Upper Bound for Mining High Utility Patterns from Interval-Based Event Sequences
por: Mirbagheri, S. Mohammad
Publicado: (2022)
por: Mirbagheri, S. Mohammad
Publicado: (2022)
Accurate and Scalable Graph Neural Networks via Message Invariance
por: Shi, Zhihao, et al.
Publicado: (2025)
por: Shi, Zhihao, et al.
Publicado: (2025)
Scalable Neural Network Kernels
por: Sehanobish, Arijit, et al.
Publicado: (2023)
por: Sehanobish, Arijit, et al.
Publicado: (2023)
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
por: Wang, Yuwen, et al.
Publicado: (2024)
por: Wang, Yuwen, et al.
Publicado: (2024)
COPYCOP: Ownership Verification for Graph Neural Networks
por: Nandakumar, Rahul, et al.
Publicado: (2026)
por: Nandakumar, Rahul, et al.
Publicado: (2026)
SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism
por: Shen, Yuhao, et al.
Publicado: (2025)
por: Shen, Yuhao, et al.
Publicado: (2025)
The Term 'Agent' Has Been Diluted Beyond Utility and Requires Redefinition
por: Bent, Brinnae
Publicado: (2025)
por: Bent, Brinnae
Publicado: (2025)
Bridging Neural ODE and ResNet: A Formal Error Bound for Safety Verification
por: Sayed, Abdelrahman Sayed, et al.
Publicado: (2025)
por: Sayed, Abdelrahman Sayed, et al.
Publicado: (2025)
Ejemplares similares
-
Neural Network Verification with Branch-and-Bound for General Nonlinearities
por: Shi, Zhouxing, et al.
Publicado: (2024) -
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
por: Zhou, Duo, et al.
Publicado: (2024) -
LEVIS: Large Exact Verifiable Input Spaces for Neural Networks
por: Chehade, Mohamad Fares El Hajj, et al.
Publicado: (2024) -
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
por: Boetius, David, et al.
Publicado: (2024) -
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
por: Zhou, Duo, et al.
Publicado: (2025)