| Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation | Oct 17, 2019 | Bayesian OptimisationDecision Making | CodeCode Available | 1 |
| Computationally Assisted Quality Control for Public Health Data Streams | Jun 29, 2023 | Decision MakingOutlier Detection | CodeCode Available | 1 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 |
| Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning | Sep 30, 2023 | Decision MakingModel-based Reinforcement Learning | CodeCode Available | 1 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 |
| Modelling uncertainty in coupled electricity and gas systems -- is it worth the effort? | Aug 17, 2020 | Decision Making | CodeCode Available | 1 |
| Addressing cognitive bias in medical language models | Feb 12, 2024 | Decision Making | CodeCode Available | 1 |
| Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Tasks | May 15, 2025 | Decision MakingDecision Making Under Uncertainty | CodeCode Available | 1 |
| Conditioning Sparse Variational Gaussian Processes for Online Decision-making | Oct 28, 2021 | Active LearningDecision Making | CodeCode Available | 1 |
| ContrXT: Generating Contrastive Explanations from any Text Classifier | Dec 11, 2021 | Decision MakingExplainable artificial intelligence | CodeCode Available | 1 |