| Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles | May 2, 2023 | Active LearningDomain Generalization | CodeCode Available | 0 |
| Label-wise Aleatoric and Epistemic Uncertainty Quantification | Jun 4, 2024 | Decision MakingUncertainty Quantification | CodeCode Available | 0 |
| Distribution-Free Predictive Inference under Unknown Temporal Drift | Jun 10, 2024 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification | Jul 13, 2022 | BenchmarkingLabel Error Detection | CodeCode Available | 0 |
| Langevin-gradient parallel tempering for Bayesian neural learning | Nov 11, 2018 | Decision MakingTime Series | CodeCode Available | 0 |
| Training Bayesian Neural Networks with Sparse Subspace Variational Inference | Feb 16, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Prediction Sets Adaptive to Unknown Covariate Shift | Mar 11, 2022 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| Compact Bayesian Neural Networks via pruned MCMC sampling | Jan 12, 2025 | Network PruningUncertainty Quantification | CodeCode Available | 0 |
| Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes | Jan 9, 2024 | Conformal PredictionPoint Processes | CodeCode Available | 0 |
| Prior Guided Dropout for Robust Visual Localization in Dynamic Environments | Oct 1, 2019 | Camera LocalizationUncertainty Quantification | CodeCode Available | 0 |
