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Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation., , , , and . ICCV, page 2931-2940. IEEE, (2019)Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space., , , , , and . CoRR, (2020)Implicit Neural Representations for Image Compression., , , , and . CoRR, (2021)The OOD Blind Spot of Unsupervised Anomaly Detection., , , , and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 286-300. PMLR, (2021)Variational Transformer Networks for Layout Generation., , and . CVPR, page 13642-13652. Computer Vision Foundation / IEEE, (2021)SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation., , , , , , , and . CVPR, page 21339-21350. IEEE, (2022)ManiFlow: Implicitly Representing Manifolds with Normalizing Flows., , , and . 3DV, page 84-93. IEEE, (2022)Implicit Neural Representations for Image Compression., , , , and . ECCV (26), volume 13686 of Lecture Notes in Computer Science, page 74-91. Springer, (2022)3D Compression Using Neural Fields., , , , and . CoRR, (2023)On the Practicality of Deterministic Epistemic Uncertainty., , , , , and . CoRR, (2021)