| Conformal Depression Prediction | May 29, 2024 | Conformal PredictionDecision Making | CodeCode Available | 0 |
| Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting | Apr 1, 2022 | Decision MakingEpidemiology | CodeCode Available | 0 |
| Intrinsic Gaussian Vector Fields on Manifolds | Oct 28, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling | Oct 3, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 0 |
| DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs | Sep 28, 2021 | DiversityDynamic graph embedding | CodeCode Available | 0 |
| Dynamic Linear Transformer for 3D Biomedical Image Segmentation | Jun 1, 2022 | 3D Medical Imaging SegmentationDecoder | CodeCode Available | 0 |
| Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness | Nov 15, 2023 | Uncertainty Quantificationvalid | CodeCode Available | 0 |
| Bayesian Spillover Graphs for Dynamic Networks | Mar 3, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Posterior Uncertainty Quantification in Neural Networks using Data Augmentation | Mar 18, 2024 | Data Augmentationimage-classification | CodeCode Available | 0 |
| Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage | Mar 6, 2024 | Conformal PredictionDrug Discovery | CodeCode Available | 0 |
| Conditional Prediction ROC Bands for Graph Classification | Oct 20, 2024 | ClassificationDrug Discovery | CodeCode Available | 0 |
| Bayesian score calibration for approximate models | Nov 10, 2022 | Bayesian Inferencescoring rule | CodeCode Available | 0 |
| Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models | Jul 21, 2024 | Gaussian ProcessesTransfer Learning | CodeCode Available | 0 |
| A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression | Jun 18, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Bayesian Quantification with Black-Box Estimators | Feb 17, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| JAWS: Auditing Predictive Uncertainty Under Covariate Shift | Jul 21, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification | Apr 29, 2024 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 0 |
| Conditional Injective Flows for Bayesian Imaging | Apr 15, 2022 | Image RestorationUncertainty Quantification | CodeCode Available | 0 |
| Active Subspace of Neural Networks: Structural Analysis and Universal Attacks | Oct 29, 2019 | Adversarial AttackUncertainty Quantification | CodeCode Available | 0 |
| Bayesian Parameter Estimation for Dynamical Models in Systems Biology | Apr 11, 2022 | parameter estimationUncertainty Quantification | CodeCode Available | 0 |
| Bayesian Optical Flow with Uncertainty Quantification | Nov 4, 2016 | Optical Flow EstimationUncertainty Quantification | CodeCode Available | 0 |
| Simultaneous Prediction Intervals for Patient-Specific Survival Curves | Jun 25, 2019 | DescriptivePrediction | CodeCode Available | 0 |
| DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation | Aug 23, 2024 | Deep Reinforcement LearningMixture-of-Experts | CodeCode Available | 0 |
| Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging | Dec 6, 2023 | EEGRepresentation Learning | CodeCode Available | 0 |
| Conceptualizing Uncertainty | Mar 5, 2025 | Uncertainty Quantification | CodeCode Available | 0 |
