| Evidential Turing Processes | Jun 2, 2021 | Image ClassificationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Author Clustering and Topic Estimation for Short Texts | Jun 15, 2021 | ClusteringUncertainty Quantification | CodeCode Available | 1 | 5 |
| Generating Evidential BEV Maps in Continuous Driving Space | Feb 6, 2023 | Autonomous Drivingobject-detection | CodeCode Available | 1 | 5 |
| AutoIP: A United Framework to Integrate Physics into Gaussian Processes | Feb 24, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 | 5 |
| Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval | Jan 1, 2025 | Cross-Modal RetrievalRetrieval | CodeCode Available | 1 | 5 |
| Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires | Dec 2, 2022 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification | May 28, 2021 | EpidemiologyTime Series | CodeCode Available | 1 | 5 |
| Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models | May 30, 2023 | ManagementQuestion Answering | CodeCode Available | 1 | 5 |
| FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification | Jul 17, 2024 | CPUDomain Adaptation | CodeCode Available | 1 | 5 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Federated Conformal Predictors for Distributed Uncertainty Quantification | May 27, 2023 | Conformal PredictionFederated Learning | CodeCode Available | 1 | 5 |
| Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library | Oct 1, 2020 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Bayesian Optimization with Conformal Prediction Sets | Oct 22, 2022 | Active LearningBayesian Optimization | CodeCode Available | 1 | 5 |
| Likelihood-Free Parameter Estimation with Neural Bayes Estimators | Aug 27, 2022 | parameter estimationUncertainty Quantification | CodeCode Available | 1 | 5 |
| From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction | Apr 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control | Feb 4, 2025 | Conformal PredictionUncertainty Quantification | CodeCode Available | 1 | 5 |
| FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation | May 31, 2022 | Deep LearningMulti-Task Learning | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
| Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields | Sep 6, 2023 | Depth EstimationNeRF | CodeCode Available | 1 | 5 |
| Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes | Jul 20, 2020 | ClassificationGaussian Processes | CodeCode Available | 1 | 5 |
| Bayesian graph convolutional neural networks via tempered MCMC | Apr 17, 2021 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules | Nov 28, 2020 | Drug DiscoveryUncertainty Quantification | CodeCode Available | 1 | 5 |
| BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning | Feb 17, 2020 | de-enLifelong learning | CodeCode Available | 1 | 5 |
| Explaining Predictive Uncertainty with Information Theoretic Shapley Values | Sep 21, 2023 | Active LearningDecision Making Under Uncertainty | CodeCode Available | 1 | 5 |
| AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models | Dec 16, 2020 | parameter estimationSensitivity | CodeCode Available | 1 | 5 |
| Disentangling Uncertainty in Machine Translation Evaluation | Apr 13, 2022 | Machine TranslationPrediction | CodeCode Available | 1 | 5 |
| Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation | Jun 23, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 | 5 |
| HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics | May 8, 2025 | parameter estimationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Extended Stochastic Block Models with Application to Criminal Networks | Jul 16, 2020 | Community DetectionModel Selection | CodeCode Available | 1 | 5 |
| Improving Adaptive Conformal Prediction Using Self-Supervised Learning | Feb 23, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 | 5 |
| Incorporating Interpretable Output Constraints in Bayesian Neural Networks | Oct 21, 2020 | FairnessUncertainty Quantification | CodeCode Available | 1 | 5 |
| Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction | Nov 16, 2022 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 1 | 5 |
| Finite-dimensional Gaussian approximation with linear inequality constraints | Oct 20, 2017 | parameter estimationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 | 5 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 | 5 |
| Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification | Sep 9, 2022 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 | 5 |
| Laplace Redux -- Effortless Bayesian Deep Learning | Jun 28, 2021 | Deep LearningMisconceptions | CodeCode Available | 1 | 5 |
| Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification | Apr 25, 2023 | Image GenerationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Learning by example: fast reliability-aware seismic imaging with normalizing flows | Apr 13, 2021 | Bayesian InferenceSeismic Imaging | CodeCode Available | 1 | 5 |
| Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies | Mar 11, 2025 | Conformal PredictionImitation Learning | CodeCode Available | 1 | 5 |
| Learning Physical Models that Can Respect Conservation Laws | Feb 21, 2023 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| LiBRe: A Practical Bayesian Approach to Adversarial Detection | Mar 27, 2021 | Adversarial DefenseUncertainty Quantification | CodeCode Available | 1 | 5 |
| LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting | Jun 10, 2025 | Uncertainty QuantificationWeather Forecasting | CodeCode Available | 1 | 5 |
| NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation | Aug 5, 2023 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| LUQ: Long-text Uncertainty Quantification for LLMs | Mar 29, 2024 | Text GenerationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Mamba time series forecasting with uncertainty quantification | Mar 13, 2025 | MambaProbabilistic Time Series Forecasting | CodeCode Available | 1 | 5 |
| COMBO: Conservative Offline Model-Based Policy Optimization | Feb 16, 2021 | modelOffline RL | CodeCode Available | 1 | 5 |
| Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks | Jan 10, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 0 | 5 |
