| UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network Models | Aug 10, 2023 | SensitivityUncertainty Quantification | CodeCode Available | 0 |
| Generalised Linear Models for Dependent Binary Outcomes with Applications to Household Stratified Pandemic Influenza Data | Nov 27, 2019 | Model SelectionUncertainty Quantification | CodeCode Available | 0 |
| Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception | Feb 11, 2025 | Conformal PredictionUncertainty Quantification | CodeCode Available | 0 |
| The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks | May 14, 2024 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| On the optimization and pruning for Bayesian deep learning | Oct 24, 2022 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification | Nov 20, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| On the Role of Surrogates in Conformal Inference of Individual Causal Effects | Dec 16, 2024 | Causal InferenceConformal Prediction | CodeCode Available | 0 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 |
