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A Statistical Approach to Assessing Neural Network Robustness., , , and . ICLR (Poster), OpenReview.net, (2019)Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server., , , , , , and . J. Mach. Learn. Res., (2017)Statistically Robust Neural Network Classification., , and . CoRR, (2019)GRAND: Graph Neural Diffusion., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1407-1418. PMLR, (2021)A Statistical Approach to Assessing Neural Network Robustness., , , and . CoRR, (2018)Statistically robust neural network classification., , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1735-1745. AUAI Press, (2021)Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference., , , , , and . CoRR, (2017)Faithful Inversion of Generative Models for Effective Amortized Inference., , , , , , and . NeurIPS, page 3074-3084. (2018)Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server., , , , , , and . CoRR, (2015)Neural networks for inference, inference for neural networks.. University of Oxford, UK, (2018)British Library, EThOS.