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Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness., , , , , and . NeurIPS, (2020)Stochastic Gradient Descent for Gaussian Processes Done Right., , , , , , , and . CoRR, (2023)A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection., , , , , and . CoRR, (2021)Sampling-based inference for large linear models, with application to linearised Laplace., , , , , and . CoRR, (2022)Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent., , , , , and . CoRR, (2023)Sampling-based inference for large linear models, with application to linearised Laplace., , , , , and . ICLR, OpenReview.net, (2023)Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks., , , , , and . CoRR, (2020)Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning., , , , , , , , , and 14 other author(s). CoRR, (2021)A Generative Model of Symmetry Transformations., , , , , , , and . CoRR, (2024)A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness., , , , , , , , , and . J. Mach. Learn. Res., (2023)