| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 | 5 |
| Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks | Feb 6, 2023 | Crowd CountingUncertainty Quantification | CodeCode Available | 1 | 5 |
| Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation | Dec 13, 2022 | PredictionPrediction Intervals | CodeCode Available | 1 | 5 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 | 5 |
| Healing Products of Gaussian Processes | Feb 14, 2021 | Gaussian ProcessesGeneral Classification | CodeCode Available | 1 | 5 |
| HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics | May 8, 2025 | parameter estimationUncertainty 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 |
| 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 |
| Improving Adaptive Conformal Prediction Using Self-Supervised Learning | Feb 23, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification | Jul 15, 2021 | Conformal PredictionDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| JaxSGMC: Modular stochastic gradient MCMC in JAX | May 16, 2025 | Deep LearningStochastic Optimization | CodeCode Available | 1 | 5 |
| Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity | Feb 9, 2024 | Conformal PredictionHallucination | CodeCode Available | 1 | 5 |
| A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs | May 13, 2025 | HallucinationUncertainty Quantification | CodeCode Available | 1 | 5 |
| A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space | Sep 21, 2023 | GPURepresentation Learning | 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 |
| Kernel Methods are Competitive for Operator Learning | Apr 26, 2023 | Operator 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 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | 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 |
| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Jun 6, 2015 | Bayesian InferenceDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| 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 | 5 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 | 5 |
| COMBO: Conservative Offline Model-Based Policy Optimization | Feb 16, 2021 | modelOffline RL | CodeCode Available | 1 | 5 |
| LiBRe: A Practical Bayesian Approach to Adversarial Detection | Mar 27, 2021 | Adversarial DefenseUncertainty Quantification | CodeCode Available | 1 | 5 |
| Linked Deep Gaussian Process Emulation for Model Networks | Jun 2, 2023 | modelUncertainty Quantification | CodeCode Available | 1 | 5 |
| Distribution-free binary classification: prediction sets, confidence intervals and calibration | Jun 18, 2020 | Binary ClassificationClassification | CodeCode Available | 1 | 5 |
| Author Clustering and Topic Estimation for Short Texts | Jun 15, 2021 | ClusteringUncertainty Quantification | 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 |
| Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification | Feb 2, 2018 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| A Bayesian Approach to Online Planning | Jun 4, 2024 | Thompson SamplingUncertainty Quantification | CodeCode Available | 1 | 5 |
| Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms | Apr 22, 2020 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Deep Deterministic Uncertainty: A Simple Baseline | Feb 23, 2021 | Active LearningUncertainty Quantification | CodeCode Available | 1 | 5 |
| Edge Tracing using Gaussian Process Regression | Nov 5, 2021 | regressionUncertainty Quantification | CodeCode Available | 1 | 5 |
| Deep Generative Data Assimilation in Multimodal Setting | Apr 10, 2024 | Image GenerationUncertainty Quantification | CodeCode Available | 1 | 5 |
| A Rate-Distortion View of Uncertainty Quantification | Jun 16, 2024 | Gaussian ProcessesOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | Oct 11, 2019 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 | 5 |
| Deep active subspaces - a scalable method for high-dimensional uncertainty propagation | Feb 27, 2019 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 | 5 |
| Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification | Nov 11, 2024 | BenchmarkingImage Segmentation | CodeCode Available | 1 | 5 |
| Deep Generative Classification of Blood Cell Morphology | Aug 16, 2024 | Anomaly DetectionClassification | 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 evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation | Sep 12, 2023 | Image SegmentationMedical Image Segmentation | 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 |
| A Simple Baseline for Bayesian Uncertainty in Deep Learning | Feb 7, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| TabLeak: Tabular Data Leakage in Federated Learning | Oct 4, 2022 | Federated LearningReconstruction Attack | 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 |
| AutoIP: A United Framework to Integrate Physics into Gaussian Processes | Feb 24, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 | 5 |
| Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations | Dec 2, 2023 | Active LearningGaussian Processes | CodeCode Available | 1 | 5 |
