| Universal Functional Regression with Neural Operator Flows | Apr 3, 2024 | Gaussian Processesregression | CodeCode Available | 1 |
| Author Clustering and Topic Estimation for Short Texts | Jun 15, 2021 | ClusteringUncertainty Quantification | CodeCode Available | 1 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| AutoIP: A United Framework to Integrate Physics into Gaussian Processes | Feb 24, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling | Nov 15, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 |
| Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees | Jan 15, 2024 | Conformal PredictionGaussian Processes | CodeCode Available | 1 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 |
| COMBO: Conservative Offline Model-Based Policy Optimization | Feb 16, 2021 | modelOffline RL | CodeCode Available | 1 |
| Conformal Inference of Counterfactuals and Individual Treatment Effects | Jun 11, 2020 | Decision MakingUncertainty Quantification | CodeCode Available | 1 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Conformal PID Control for Time Series Prediction | Jul 31, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Conformal prediction for multi-dimensional time series by ellipsoidal sets | Mar 6, 2024 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Conformal Prediction with Large Language Models for Multi-Choice Question Answering | May 28, 2023 | Conformal PredictionMultiple-choice | CodeCode Available | 1 |
| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| Copula Conformal Prediction for Multi-step Time Series Forecasting | Dec 6, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| coverforest: Conformal Predictions with Random Forest in Python | Jan 24, 2025 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification | Jul 20, 2020 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 1 |
| Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation | Sep 12, 2023 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 |
| Deep Evidential Regression | Oct 7, 2019 | regressionUncertainty Quantification | CodeCode Available | 1 |
| BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning | Feb 17, 2020 | de-enLifelong learning | CodeCode Available | 1 |
| Deep Generative Classification of Blood Cell Morphology | Aug 16, 2024 | Anomaly DetectionClassification | CodeCode Available | 1 |
| AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models | Dec 16, 2020 | parameter estimationSensitivity | CodeCode Available | 1 |
| Deep learning observables in computational fluid dynamics | Mar 7, 2019 | Deep LearningEfficient Neural Network | CodeCode Available | 1 |
| Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms | Apr 22, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging | Oct 27, 2020 | compressed sensingImage Reconstruction | CodeCode Available | 1 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes | Jul 20, 2020 | ClassificationGaussian Processes | CodeCode Available | 1 |
| 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 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 |
| Bayesian graph convolutional neural networks via tempered MCMC | Apr 17, 2021 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks | Feb 6, 2023 | Crowd CountingUncertainty Quantification | CodeCode Available | 1 |
| Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images | Apr 7, 2021 | Computed Tomography (CT)Lesion Segmentation | CodeCode Available | 1 |
| Edge Tracing using Gaussian Process Regression | Nov 5, 2021 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference | Feb 8, 2024 | Domain AdaptationUncertainty Quantification | CodeCode Available | 1 |
| Evidential Deep Learning to Quantify Classification Uncertainty | Jun 5, 2018 | Deep LearningGeneral Classification | CodeCode Available | 1 |
| Evidential Uncertainty Quantification: A Variance-Based Perspective | Nov 19, 2023 | Active LearningClassification | CodeCode Available | 1 |
| Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects | Feb 7, 2024 | Decision MakingMarketing | CodeCode Available | 1 |
| Explaining Predictive Uncertainty with Information Theoretic Shapley Values | Sep 21, 2023 | Active LearningDecision Making Under Uncertainty | CodeCode Available | 1 |
| Extended Stochastic Block Models with Application to Criminal Networks | Jul 16, 2020 | Community DetectionModel Selection | CodeCode Available | 1 |
| Deep active subspaces - a scalable method for high-dimensional uncertainty propagation | Feb 27, 2019 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 |
| Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library | Oct 1, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications | Sep 22, 2023 | Computational EfficiencyDeep Learning | CodeCode Available | 1 |
| Finite-dimensional Gaussian approximation with linear inequality constraints | Oct 20, 2017 | parameter estimationUncertainty Quantification | CodeCode Available | 1 |
| Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction | Nov 16, 2022 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 1 |
| From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction | Apr 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics | Jun 6, 2021 | Uncertainty Quantification | CodeCode Available | 1 |
| AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 |
