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Stochastic World Models for Verifying Vision-Based Neural Feedback Systems

I. Samuel Akinwande, Mykel J. Kochenderfer, Clark Barrett · Sep 29, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 35% Sparse protocol signal Freshness: Hot Status: Ready
General
  • On an emergency braking benchmark with a GAN surrogate, our procedure resolves the entire state space, 38% of which the state-of-the-art verifier left unresolved.
  • On the RGB version of the benchmark, where no verification results have previously been reported, our procedure resolves over 80% of the state space with a world model surrogate.
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