| A Rate-Distortion View of Uncertainty Quantification | Jun 16, 2024 | Gaussian ProcessesOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Model-Based Uncertainty in Value Functions | Feb 24, 2023 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification | Nov 11, 2024 | BenchmarkingImage Segmentation | CodeCode Available | 1 |
| Multivariate Probabilistic Time Series Forecasting with Correlated Errors | Feb 1, 2024 | Computational EfficiencyProbabilistic Time Series Forecasting | CodeCode Available | 1 |
| Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks | Oct 4, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Novel Class Discovery for 3D Point Cloud Semantic Segmentation | Mar 21, 2023 | 2D Semantic SegmentationNovel Class Discovery | CodeCode Available | 1 |
| Nonparametric Uncertainty Quantification for Single Deterministic Neural Network | Feb 7, 2022 | text-classificationText Classification | 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 |
| 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 |
| On Verbalized Confidence Scores for LLMs | Dec 19, 2024 | Uncertainty Quantification | CodeCode Available | 1 |
| Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification | Jun 22, 2020 | Active LearningExperimental Design | CodeCode Available | 1 |
| Selective Generation for Controllable Language Models | Jul 18, 2023 | Conformal PredictionHallucination | CodeCode Available | 1 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 |
| Personalized Federated Learning under Mixture of Distributions | May 1, 2023 | Federated LearningPersonalized Federated Learning | CodeCode Available | 1 |
| Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning | Apr 30, 2024 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 |
| Conformal PID Control for Time Series Prediction | Jul 31, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Disentangling Uncertainty in Machine Translation Evaluation | Apr 13, 2022 | Machine TranslationPrediction | CodeCode Available | 1 |
| PI3NN: Out-of-distribution-aware prediction intervals from three neural networks | Aug 5, 2021 | Prediction IntervalsUncertainty Quantification | CodeCode Available | 1 |
| A Simple Baseline for Bayesian Uncertainty in Deep Learning | Feb 7, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| POINT^2: A Polymer Informatics Training and Testing Database | Mar 30, 2025 | Uncertainty Quantification | CodeCode Available | 1 |
| A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification | Jul 15, 2021 | Conformal PredictionDeep Reinforcement Learning | CodeCode Available | 1 |
| Post-hoc Probabilistic Vision-Language Models | Dec 8, 2024 | Active LearningUncertainty Quantification | 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 |
