| Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification | Jul 22, 2021 | regressionUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty quantification and out-of-distribution detection using surjective normalizing flows | Nov 1, 2023 | Out-of-Distribution DetectionUncertainty Quantification | CodeCode Available | 0 |
| Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasks | Feb 15, 2024 | regressionUncertainty Quantification | CodeCode Available | 0 |
| Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures | Oct 6, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Accelerating Convergence in Bayesian Few-Shot Classification | May 2, 2024 | ClassificationFew-Shot Learning | CodeCode Available | 0 |
| Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model | Dec 16, 2023 | Bayesian InferenceDecision Making | CodeCode Available | 0 |
| Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification | Jul 29, 2020 | Binary ClassificationDiagnostic | CodeCode Available | 0 |
| Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting | May 7, 2025 | Conformal PredictionImputation | CodeCode Available | 0 |
| An Online Bootstrap for Time Series | Oct 30, 2023 | Time SeriesUncertainty Quantification | CodeCode Available | 0 |
| Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection | Mar 21, 2024 | Gaussian ProcessesMultiple Instance Learning | CodeCode Available | 0 |
