| Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation | Jan 13, 2024 | MisinformationUncertainty Quantification | —Unverified | 0 |
| Combining Statistical Depth and Fermat Distance for Uncertainty Quantification | Apr 12, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Approximately Piecewise E(3) Equivariant Point Networks | Feb 13, 2024 | Uncertainty Quantification | —Unverified | 0 |
| CONSeg: Voxelwise Glioma Conformal Segmentation | Feb 28, 2025 | Conformal PredictionSegmentation | —Unverified | 0 |
| A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process | Oct 18, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Comparing the quality of neural network uncertainty estimates for classification problems | Aug 11, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression | Nov 11, 2022 | regressionTime Series | —Unverified | 0 |
| A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty | Jul 26, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Complementing Semi-Supervised Learning with Uncertainty Quantification | Jul 22, 2022 | Uncertainty Quantification | —Unverified | 0 |
| CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition | May 20, 2025 | Conformal PredictionImage Segmentation | —Unverified | 0 |
