| Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification | Apr 3, 2025 | counterfactualMolecular Property Prediction | —Unverified | 0 |
| Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation | Oct 14, 2019 | Bayesian OptimisationComputational Efficiency | —Unverified | 0 |
| Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra | Jun 1, 2021 | Autonomous VehiclesDecision Making | —Unverified | 0 |
| Monte Carlo is a good sampling strategy for polynomial approximation in high dimensions | Aug 18, 2022 | compressed sensingUncertainty Quantification | —Unverified | 0 |
| JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows | May 29, 2025 | Conformal PredictionNormalising Flows | —Unverified | 0 |
| Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics | Mar 31, 2025 | DiagnosticFairness | —Unverified | 0 |
| An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions | Oct 7, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty | Sep 7, 2023 | In-Context LearningInstruction Following | —Unverified | 0 |
| Improving Random Forests by Smoothing | May 11, 2025 | Gaussian Processesregression | —Unverified | 0 |
| Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery | Apr 1, 2025 | GPROperator learning | —Unverified | 0 |
