| FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation | May 31, 2022 | Deep LearningMulti-Task Learning | CodeCode Available | 1 |
| COMBO: Conservative Offline Model-Based Policy Optimization | Feb 16, 2021 | modelOffline RL | CodeCode Available | 1 |
| AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models | Dec 16, 2020 | parameter estimationSensitivity | CodeCode Available | 1 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification | May 28, 2021 | EpidemiologyTime Series | CodeCode Available | 1 |
| Disentangling Uncertainty in Machine Translation Evaluation | Apr 13, 2022 | Machine TranslationPrediction | CodeCode Available | 1 |
| GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative Models | Dec 9, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 1 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 |
| Gradient-free variational learning with conditional mixture networks | Aug 29, 2024 | Computational EfficiencyMixture-of-Experts | CodeCode Available | 1 |
| HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images | Mar 30, 2021 | Knowledge DistillationSegmentation | CodeCode Available | 1 |
| Healing Products of Gaussian Processes | Feb 14, 2021 | Gaussian ProcessesGeneral Classification | CodeCode Available | 1 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 |
| Improved Online Conformal Prediction via Strongly Adaptive Online Learning | Feb 15, 2023 | Conformal Predictionimage-classification | CodeCode Available | 1 |
| Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows | Aug 4, 2021 | Decision MakingImage Segmentation | CodeCode Available | 1 |
| Incorporating Interpretable Output Constraints in Bayesian Neural Networks | Oct 21, 2020 | FairnessUncertainty Quantification | CodeCode Available | 1 |
| Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities | May 30, 2024 | Text GenerationUncertainty Quantification | CodeCode Available | 1 |
| Kernel Methods are Competitive for Operator Learning | Apr 26, 2023 | Operator learningUncertainty Quantification | CodeCode Available | 1 |
| Language Model Uncertainty Quantification with Attention Chain | Mar 24, 2025 | Computational EfficiencyLanguage Modeling | CodeCode Available | 1 |
| Laplace Redux -- Effortless Bayesian Deep Learning | Jun 28, 2021 | Deep LearningMisconceptions | CodeCode Available | 1 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Learning by example: fast reliability-aware seismic imaging with normalizing flows | Apr 13, 2021 | Bayesian InferenceSeismic Imaging | CodeCode Available | 1 |
| Learning Physical Models that Can Respect Conservation Laws | Feb 21, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| LiBRe: A Practical Bayesian Approach to Adversarial Detection | Mar 27, 2021 | Adversarial DefenseUncertainty Quantification | CodeCode Available | 1 |
| Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks | Jan 27, 2021 | Active LearningUncertainty Quantification | CodeCode Available | 1 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 |
