| Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation | Sep 20, 2022 | Active LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees | May 26, 2025 | regressionRepresentation Learning | —Unverified | 0 | 0 |
| A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation | Nov 25, 2024 | Active LearningBayesian Inference | —Unverified | 0 | 0 |
| A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty | Mar 13, 2024 | Decision MakingUncertainty Quantification | —Unverified | 0 | 0 |
| A computational spectral approach to interest rate models | Aug 25, 2015 | Uncertainty Quantification | —Unverified | 0 | 0 |
| A Bulirsch-Stoer algorithm using Gaussian processes | May 23, 2019 | Gaussian ProcessesGPR | —Unverified | 0 | 0 |
| Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces | Jun 10, 2025 | Conformal PredictionPrediction | —Unverified | 0 | 0 |
| Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction | Feb 2, 2024 | Conformal PredictionOperator learning | —Unverified | 0 | 0 |
| Epistemic Wrapping for Uncertainty Quantification | May 4, 2025 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Are generative models fair? A study of racial bias in dermatological image generation | Jan 20, 2025 | DiversityFairness | —Unverified | 0 | 0 |
