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Model-based Validation as Probabilistic Inference This is the codebase for the paper "Model-based Validation as Probabilistic Inference" presented at L4DC 2023. We frame estimating the distribution over failure trajectories for sequential systems as Bayesian inference. Our model-based approach represents the distribution over failure trajectories using rollouts of system dynamics and computes trajectory gradients using automatic differentiation. Our method efficiently samples from high-dimensional,...
Model-based Validation as Probabilistic Inference This is the codebase for the paper "Model-based Validation as Probabilistic Inference" presented at L4DC 2023. We frame estimating the distribution over failure trajectories for sequential systems as Bayesian inference. Our model-based approach represents the distribution over failure trajectories using rollouts of system dynamics and computes trajectory gradients using automatic differentiation. Our method efficiently samples from high-dimensional,...
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