| Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection | Jul 4, 2022 | object-detectionObject Detection | CodeCode Available | 2 | 5 |
| Positional Encoder Graph Quantile Neural Networks for Geographic Data | Sep 27, 2024 | Density EstimationUncertainty Quantification | CodeCode Available | 2 | 5 |
| Statistical Machine Learning for Astronomy -- A Textbook | Jun 13, 2025 | AstronomyBayesian Inference | 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 |
| NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators | Aug 25, 2022 | Uncertainty Quantification | CodeCode Available | 2 | 5 |
| Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models | Oct 28, 2024 | Computational EfficiencyFeature Importance | CodeCode Available | 2 | 5 |
| EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy | Nov 10, 2023 | Uncertainty Quantification | 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 |
| Distribution-Free, Risk-Controlling Prediction Sets | Jan 7, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 2 | 5 |
| GAUCHE: A Library for Gaussian Processes in Chemistry | Dec 6, 2022 | Bayesian OptimisationGaussian Processes | CodeCode Available | 2 | 5 |
| GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction | Apr 29, 2025 | 3DGS3D Reconstruction | CodeCode Available | 2 | 5 |
| Artificial Kuramoto Oscillatory Neurons | Oct 17, 2024 | Adversarial RobustnessObject Discovery | CodeCode Available | 2 | 5 |
| Fortuna: A Library for Uncertainty Quantification in Deep Learning | Feb 8, 2023 | Bayesian InferenceBenchmarking | CodeCode Available | 2 | 5 |
| Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph | Jun 21, 2024 | BenchmarkingText Generation | CodeCode Available | 2 | 5 |
| Neurosymbolic Diffusion Models | May 19, 2025 | Autonomous DrivingUncertainty Quantification | CodeCode Available | 2 | 5 |
| Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks | Feb 29, 2024 | BenchmarkingDisentanglement | CodeCode Available | 2 | 5 |
| Conformal prediction for multi-dimensional time series by ellipsoidal sets | Mar 6, 2024 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Conformal PID Control for Time Series Prediction | Jul 31, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Conformal Inference of Counterfactuals and Individual Treatment Effects | Jun 11, 2020 | Decision MakingUncertainty Quantification | CodeCode Available | 1 | 5 |
| Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees | Jan 15, 2024 | Conformal PredictionGaussian Processes | CodeCode Available | 1 | 5 |
| Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects | Feb 7, 2024 | Decision MakingMarketing | CodeCode Available | 1 | 5 |
| COMBO: Conservative Offline Model-Based Policy Optimization | Feb 16, 2021 | modelOffline RL | CodeCode Available | 1 | 5 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 | 5 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 | 5 |
