| Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited | Aug 7, 2020 | scoring ruleUncertainty Quantification | —Unverified | 0 |
| Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction | Oct 7, 2019 | Bayesian InferenceMolecular Property Prediction | —Unverified | 0 |
| FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification | Apr 24, 2024 | Federated LearningPersonalized Federated Learning | —Unverified | 0 |
| Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis | Mar 6, 2023 | FairnessLesion Classification | —Unverified | 0 |
| Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems | Aug 14, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds | Jul 3, 2020 | 3D Semantic SegmentationDecision Making | —Unverified | 0 |
| How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression | May 8, 2024 | Deep Learningregression | —Unverified | 0 |
| Evaluating Uncertainty Quantification approaches for Neural PDEs in scientific applications | Nov 8, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control | Nov 16, 2018 | Autonomous DrivingSelf-Driving Cars | —Unverified | 0 |
| Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning | Nov 13, 2023 | Meta-LearningMeta Reinforcement Learning | —Unverified | 0 |