| An Analytic Solution to Covariance Propagation in Neural Networks | Mar 24, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events | Dec 18, 2024 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings | Nov 18, 2021 | Out-of-Distribution DetectionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series data | Sep 13, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Bayesian Emulation for Computer Models with Multiple Partial Discontinuities | Oct 19, 2022 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain Trajectories | Apr 10, 2025 | Additive modelsBenchmarking | CodeCode Available | 0 | 5 |
| Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation | Mar 18, 2024 | AnatomySegmentation | CodeCode Available | 0 | 5 |
| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | Nov 30, 2018 | Anomaly DetectionAutonomous Driving | CodeCode Available | 0 | 5 |
| Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems | Oct 18, 2023 | Image ReconstructionUncertainty Quantification | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics | May 23, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
| Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak | Feb 15, 2025 | Bayesian InferenceConformal Prediction | CodeCode Available | 0 | 5 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA | Oct 31, 2024 | Deep LearningDiversity | CodeCode Available | 0 | 5 |
| Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent | Feb 5, 2018 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Bayesian Continual Learning via Spiking Neural Networks | Aug 29, 2022 | Continual LearningManagement | CodeCode Available | 0 | 5 |
| Bayesian Concept Bottleneck Models with LLM Priors | Oct 21, 2024 | Image Classificationtabular-classification | CodeCode Available | 0 | 5 |
| An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention cost | Jun 11, 2021 | counterfactualUncertainty Quantification | CodeCode Available | 0 | 5 |
