| JaxSGMC: Modular stochastic gradient MCMC in JAX | May 16, 2025 | Deep LearningStochastic Optimization | CodeCode Available | 1 | 5 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Distribution-free binary classification: prediction sets, confidence intervals and calibration | Jun 18, 2020 | Binary ClassificationClassification | CodeCode Available | 1 | 5 |
| Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification | Jan 17, 2020 | General ClassificationOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays | Aug 27, 2024 | AnatomyComputed Tomography (CT) | 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 |
| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 | 5 |
| Bayesian Optimization with Conformal Prediction Sets | Oct 22, 2022 | Active LearningBayesian Optimization | CodeCode Available | 1 | 5 |
| AutoIP: A United Framework to Integrate Physics into Gaussian Processes | Feb 24, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 | 5 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 | 5 |
| DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model | May 31, 2023 | Decision Makingenergy management | CodeCode Available | 1 | 5 |
| COMBO: Conservative Offline Model-Based Policy Optimization | Feb 16, 2021 | modelOffline RL | CodeCode Available | 1 | 5 |
| Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging | Oct 27, 2020 | compressed sensingImage Reconstruction | CodeCode Available | 1 | 5 |
| AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models | Dec 16, 2020 | parameter estimationSensitivity | CodeCode Available | 1 | 5 |
| Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification | Feb 2, 2018 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval | Jan 1, 2025 | Cross-Modal RetrievalRetrieval | CodeCode Available | 1 | 5 |
| Deep learning with self-supervision and uncertainty regularization to count fish in underwater images | Apr 30, 2021 | Crowd CountingDecision Making | CodeCode Available | 1 | 5 |
| GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative Models | Dec 9, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Disentangling Uncertainty in Machine Translation Evaluation | Apr 13, 2022 | Machine TranslationPrediction | CodeCode Available | 1 | 5 |
| Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models | May 30, 2023 | ManagementQuestion Answering | CodeCode Available | 1 | 5 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 | 5 |
| Author Clustering and Topic Estimation for Short Texts | Jun 15, 2021 | ClusteringUncertainty Quantification | CodeCode Available | 1 | 5 |
| HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images | Mar 30, 2021 | Knowledge DistillationSegmentation | CodeCode Available | 1 | 5 |
| Healing Products of Gaussian Processes | Feb 14, 2021 | Gaussian ProcessesGeneral Classification | CodeCode Available | 1 | 5 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 | 5 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 | 5 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 | 5 |
| Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows | Aug 4, 2021 | Decision MakingImage Segmentation | 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 |
| Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms | Apr 22, 2020 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity | Feb 9, 2024 | Conformal PredictionHallucination | CodeCode Available | 1 | 5 |
| Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models | Jun 11, 2025 | DiversitySemantic Similarity | CodeCode Available | 1 | 5 |
| Deep Deterministic Uncertainty: A Simple Baseline | Feb 23, 2021 | Active LearningUncertainty 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 |
| 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 |
| Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference | Feb 8, 2024 | Domain AdaptationUncertainty 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 |
| Learning Physical Models that Can Respect Conservation Laws | Feb 21, 2023 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Jun 6, 2015 | Bayesian InferenceDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| 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 | 5 |
| Conformal PID Control for Time Series Prediction | Jul 31, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Deep Generative Data Assimilation in Multimodal Setting | Apr 10, 2024 | Image GenerationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees | Jan 15, 2024 | Conformal PredictionGaussian Processes | CodeCode Available | 1 | 5 |
| Materials Property Prediction with Uncertainty Quantification: A Benchmark Study | Nov 4, 2022 | Active LearningBand Gap | CodeCode Available | 1 | 5 |
| Conformal Inference of Counterfactuals and Individual Treatment Effects | Jun 11, 2020 | Decision MakingUncertainty Quantification | CodeCode Available | 1 | 5 |
| Model-Based Uncertainty in Value Functions | Feb 24, 2023 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks | Jan 27, 2021 | Active LearningUncertainty Quantification | CodeCode Available | 1 | 5 |
| Deep Evidential Regression | Oct 7, 2019 | regressionUncertainty Quantification | CodeCode Available | 1 | 5 |
