| Fortuna: A Library for Uncertainty Quantification in Deep Learning | Feb 8, 2023 | Bayesian InferenceBenchmarking | CodeCode Available | 2 |
| Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution | Jan 5, 2023 | DecoderTime Series | CodeCode Available | 2 |
| GAUCHE: A Library for Gaussian Processes in Chemistry | Dec 6, 2022 | Bayesian OptimisationGaussian Processes | CodeCode Available | 2 |
| NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators | Aug 25, 2022 | Uncertainty Quantification | CodeCode Available | 2 |
| Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection | Jul 4, 2022 | object-detectionObject Detection | CodeCode Available | 2 |
| Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology | Apr 9, 2022 | AttributeUncertainty Quantification | CodeCode Available | 2 |
| Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons | Jan 19, 2022 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 2 |
| Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification | Sep 21, 2021 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 2 |
| Distribution-Free, Risk-Controlling Prediction Sets | Jan 7, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 2 |
| Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification | Nov 18, 2020 | regressionUncertainty Quantification | CodeCode Available | 2 |
