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Global optimization of objective functions represented by ReLU networks.

, , , , , , and . Mach. Learn., 112 (10): 3685-3712 (October 2023)

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Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions., , , and . CoRR, (2019)Global optimization of objective functions represented by ReLU networks., , , , , , and . Mach. Learn., 112 (10): 3685-3712 (October 2023)Generating Probabilistic Safety Guarantees for Neural Network Controllers., , , and . CoRR, (2021)Deep Neural Network Compression for Aircraft Collision Avoidance Systems., , and . CoRR, (2018)Global Optimization of Objective Functions Represented by ReLU Networks., , , , , , and . CoRR, (2020)A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers., and . CoRR, (2019)Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction., and . CoRR, (2018)Generating probabilistic safety guarantees for neural network controllers., , , and . Mach. Learn., 112 (8): 2903-2931 (2023)Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems., and . CoRR, (2019)Decomposition methods with deep corrections for reinforcement learning., , , , and . Auton. Agents Multi Agent Syst., 33 (3): 330-352 (2019)