| Robust and Conjugate Spatio-Temporal Gaussian Processes | Feb 4, 2025 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Robust Conformal Volume Estimation in 3D Medical Images | Jul 29, 2024 | Conformal PredictionDensity Ratio Estimation | CodeCode Available | 0 | 5 |
| Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression | Jun 8, 2016 | regressionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bi-fidelity Variational Auto-encoder for Uncertainty Quantification | May 25, 2023 | Computational EfficiencyDecoder | CodeCode Available | 0 | 5 |
| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks | Jun 9, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Binscatter Regressions | Feb 25, 2019 | quantile regressionregression | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images | Sep 5, 2022 | Semantic SegmentationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak | Feb 15, 2025 | Bayesian InferenceConformal Prediction | CodeCode Available | 0 | 5 |
| Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees | Jul 10, 2018 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Approximate Message Passing for Bayesian Neural Networks | Jan 26, 2025 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 | 5 |
| Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science | Nov 15, 2023 | RetrievalUncertainty Quantification | CodeCode Available | 0 | 5 |
| Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures | Oct 6, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
| Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flows | Jun 6, 2025 | AstronomyUncertainty Quantification | CodeCode Available | 0 | 5 |
| Conformal online model aggregation | Mar 22, 2024 | Conformal Predictionmodel | CodeCode Available | 0 | 5 |
| Conformal Off-policy Prediction | Jun 14, 2022 | Conformal PredictionOff-policy evaluation | CodeCode Available | 0 | 5 |
| Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification | Jul 13, 2022 | BenchmarkingLabel Error Detection | CodeCode Available | 0 | 5 |
| Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model | Aug 11, 2022 | SpecificityUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bayesian Evidential Deep Learning with PAC Regularization | Jun 3, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing | Jul 24, 2024 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA | Oct 31, 2024 | Deep LearningDiversity | CodeCode Available | 0 | 5 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |