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Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam., , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2616-2625. PMLR, (2018)An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval., , , , , , , , , and . CoRR, (2019)Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1050-1059. JMLR.org, (2016)Baryons from Mesons: A Machine Learning Perspective., , , and . CoRR, (2020)Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1352-1362. PMLR, (2020)Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?, , , , and . CLeaR, volume 213 of Proceedings of Machine Learning Research, page 386-407. PMLR, (2023)Deep Deterministic Uncertainty: A New Simple Baseline., , , , and . CVPR, page 24384-24394. IEEE, (2023)Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics., , and . CVPR, page 7482-7491. Computer Vision Foundation / IEEE Computer Society, (2018)Real Time Image Saliency for Black Box Classifiers., and . NIPS, page 6967-6976. (2017)BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning., , and . NeurIPS, page 7024-7035. (2019)