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Reparameterization of extreme value framework for improved Bayesian workflow., , , and . Comput. Stat. Data Anal., (November 2023)Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data., and . CoRR, (2023)Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review., , and . CoRR, (2023)Understanding Priors in Bayesian Neural Networks at the Unit Level., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6458-6467. PMLR, (2019)Imposing Gaussian Pre-Activations in a Neural Network., and . CoRR, (2022)Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits., , , , and . CoRR, (2024)Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients., , , , and . ISBI, page 1572-1575. IEEE, (2019)Approximate Bayesian Computation Via the Energy Statistic., , , and . IEEE Access, (2020)Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors., , , and . Stat. Comput., 32 (5): 85 (2022)Dirichlet process mixtures under affine transformations of the data., , and . Comput. Stat., 36 (1): 577-601 (2021)