| Conformal Prediction with Large Language Models for Multi-Choice Question Answering | May 28, 2023 | Conformal PredictionMultiple-choice | CodeCode Available | 1 |
| Federated Conformal Predictors for Distributed Uncertainty Quantification | May 27, 2023 | Conformal PredictionFederated Learning | CodeCode Available | 1 |
| Uncertainty Quantification over Graph with Conformalized Graph Neural Networks | May 23, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems | May 17, 2023 | ColorizationComputational Efficiency | CodeCode Available | 1 |
| Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial | May 7, 2023 | Decision MakingManagement | CodeCode Available | 1 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data | May 1, 2023 | Decision MakingLung Nodule Segmentation | CodeCode Available | 1 |
| Personalized Federated Learning under Mixture of Distributions | May 1, 2023 | Federated LearningPersonalized Federated Learning | CodeCode Available | 1 |
| Posterior Sampling for Deep Reinforcement Learning | Apr 30, 2023 | Computational EfficiencyDeep Reinforcement Learning | CodeCode Available | 1 |
| Uncertainty Aware Neural Network from Similarity and Sensitivity | Apr 27, 2023 | PredictionPrediction Intervals | CodeCode Available | 1 |
| Kernel Methods are Competitive for Operator Learning | Apr 26, 2023 | Operator learningUncertainty Quantification | CodeCode Available | 1 |
| Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification | Apr 25, 2023 | Image GenerationUncertainty Quantification | CodeCode Available | 1 |
| UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series | Apr 11, 2023 | Cloud RemovalImage Reconstruction | CodeCode Available | 1 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Inferring networks from time series: a neural approach | Mar 30, 2023 | parameter estimationregression | CodeCode Available | 1 |
| Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation | Mar 22, 2023 | Conformal PredictionKeypoint Detection | CodeCode Available | 1 |
| Novel Class Discovery for 3D Point Cloud Semantic Segmentation | Mar 21, 2023 | 2D Semantic SegmentationNovel Class Discovery | CodeCode Available | 1 |
| Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes | Mar 4, 2023 | Decision MakingGaussian Processes | CodeCode Available | 1 |
| Model-Based Uncertainty in Value Functions | Feb 24, 2023 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning | Feb 24, 2023 | Cloud ComputingDecision Making | CodeCode Available | 1 |
| Improving Adaptive Conformal Prediction Using Self-Supervised Learning | Feb 23, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Learning Physical Models that Can Respect Conservation Laws | Feb 21, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Improved Online Conformal Prediction via Strongly Adaptive Online Learning | Feb 15, 2023 | Conformal Predictionimage-classification | CodeCode Available | 1 |
| Probabilistic Circuits That Know What They Don't Know | Feb 13, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 |
| Generating Evidential BEV Maps in Continuous Driving Space | Feb 6, 2023 | Autonomous Drivingobject-detection | 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 |
| Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty Quantification | Jan 18, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Post-hoc Uncertainty Learning using a Dirichlet Meta-Model | Dec 14, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation | Dec 13, 2022 | PredictionPrediction Intervals | CodeCode Available | 1 |
| Copula Conformal Prediction for Multi-step Time Series Forecasting | Dec 6, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires | Dec 2, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
| Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction | Nov 16, 2022 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 1 |
| Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors | Nov 11, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Materials Property Prediction with Uncertainty Quantification: A Benchmark Study | Nov 4, 2022 | Active LearningBand Gap | CodeCode Available | 1 |
| Bayesian Optimization with Conformal Prediction Sets | Oct 22, 2022 | Active LearningBayesian Optimization | CodeCode Available | 1 |
| Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis | Oct 10, 2022 | PredictionUncertainty Quantification | CodeCode Available | 1 |
| TabLeak: Tabular Data Leakage in Federated Learning | Oct 4, 2022 | Federated LearningReconstruction Attack | CodeCode Available | 1 |
| Uncertainty Quantification of Collaborative Detection for Self-Driving | Sep 16, 2022 | Autonomous VehiclesObject | CodeCode Available | 1 |
| Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification | Sep 9, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
| Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? | Sep 7, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
| Likelihood-Free Parameter Estimation with Neural Bayes Estimators | Aug 27, 2022 | parameter estimationUncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks | Aug 11, 2022 | Graph Neural NetworkUncertainty Quantification | CodeCode Available | 1 |
| Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management | Jun 21, 2022 | BIG-bench Machine LearningManagement | CodeCode Available | 1 |
| TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification | Jun 19, 2022 | Generative Adversarial NetworkState Estimation | CodeCode Available | 1 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation | May 31, 2022 | Deep LearningMulti-Task Learning | CodeCode Available | 1 |
| Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems | May 31, 2022 | PredictionUncertainty Quantification | CodeCode Available | 1 |
| The Unreasonable Effectiveness of Deep Evidential Regression | May 20, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study) | May 2, 2022 | Active LearningUncertainty Quantification | CodeCode Available | 1 |
