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Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control., , , , , and . ICRA, page 7344-7350. IEEE, (2020)Stochastic analysis of Chemical Reaction Networks using Linear Noise Approximation., , and . Biosyst., (2016)Experimental Biological Protocols with Formal Semantics., , , , and . CoRR, (2017)Formal and Efficient Synthesis for Continuous-Time Linear Stochastic Hybrid Processes., , , , and . IEEE Trans. Autom. Control., 66 (1): 17-32 (2021)Gradient-Free Adversarial Attacks for Bayesian Neural Networks., , and . CoRR, (2020)Certification of iterative predictions in Bayesian neural networks., , , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1713-1723. AUAI Press, (2021)Robustness of Bayesian Neural Networks to Gradient-Based Attacks., , , , , and . NeurIPS, (2020)Statistical Guarantees for the Robustness of Bayesian Neural Networks., , , , , and . IJCAI, page 5693-5700. ijcai.org, (2019)Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control., , , , , and . CoRR, (2019)Central Limit Model Checking., , , and . CoRR, (2018)