Neuron Relaxation

Neuron relaxation techniques aim to simplify the complex behavior of neural networks for analysis and verification, particularly focusing on establishing safety guarantees for applications like autonomous control systems. Current research emphasizes developing tighter and more expressive relaxations, often employing convex optimization and polytope-based methods, to improve the accuracy of analyses while maintaining computational efficiency. These advancements are crucial for enabling the reliable deployment of neural networks in safety-critical domains, bridging the gap between theoretical guarantees and practical applications.