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Uncertainty-aware detection reduces false dynamic predictions in autonomous driving by leveraging statistical testing to separate true motion from perception jitter.
Finally, a scalable method lets you explore billions of scientific models and their parameters, all while interactively tuning model complexity *after* seeing the data.