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Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?

, , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5707-5718. PMLR, (2021)

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Monte Carlo EM for Deep Time Series Anomaly Detection., , and . CoRR, (2021)Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?, , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5707-5718. PMLR, (2021)Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts., , and . NeurIPS, (2020)End-to-End Learning of Probabilistic Hierarchies on Graphs., , , , and . ICLR, OpenReview.net, (2022)Group Centrality Maximization for Large-scale Graphs., , , , , and . ALENEX, page 56-69. SIAM, (2020)Training Differentially Private Graph Neural Networks with Random Walk Sampling., , , , and . CoRR, (2023)Adversarial Training for Graph Neural Networks., , , , , and . CoRR, (2023)On the Robustness and Anomaly Detection of Sparse Neural Networks., , , , , and . CoRR, (2022)Adversarial Robustness of Graph Neural Networks.. Technical University of Munich, Germany, (2022)Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?, , , , and . CoRR, (2020)