| MAPIE: an open-source library for distribution-free uncertainty quantification | Jul 25, 2022 | Conformal PredictionMulti-class Classification | CodeCode Available | 3 | 5 |
| C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets | Oct 12, 2024 | Conformal PredictionPrediction | CodeCode Available | 3 | 5 |
| GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction | Apr 29, 2025 | 3DGS3D Reconstruction | CodeCode Available | 2 | 5 |
| GAUCHE: A Library for Gaussian Processes in Chemistry | Dec 6, 2022 | Bayesian OptimisationGaussian Processes | CodeCode Available | 2 | 5 |
| Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theory | Apr 18, 2024 | Active LearningUncertainty Quantification | CodeCode Available | 2 | 5 |
| Artificial Kuramoto Oscillatory Neurons | Oct 17, 2024 | Adversarial RobustnessObject Discovery | CodeCode Available | 2 | 5 |
| FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information | Nov 29, 2023 | NeRFUncertainty Quantification | CodeCode Available | 2 | 5 |
| Fortuna: A Library for Uncertainty Quantification in Deep Learning | Feb 8, 2023 | Bayesian InferenceBenchmarking | CodeCode Available | 2 | 5 |
| Conformal prediction under ambiguous ground truth | Jul 18, 2023 | Conformal PredictionPrediction | CodeCode Available | 2 | 5 |
| Distribution-Free, Risk-Controlling Prediction Sets | Jan 7, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 2 | 5 |
