| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation | Mar 18, 2024 | AnatomySegmentation | CodeCode Available | 0 | 5 |
| Bayesian adaptive and interpretable functional regression for exposure profiles | Mar 1, 2022 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting | Apr 1, 2022 | Decision MakingEpidemiology | CodeCode Available | 0 | 5 |
| Bayesian Active Learning By Distribution Disagreement | Jan 2, 2025 | Active Learningregression | CodeCode Available | 0 | 5 |
| Bayesian active learning for optimization and uncertainty quantification in protein docking | Jan 31, 2019 | Active LearningBinary Classification | CodeCode Available | 0 | 5 |
| Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification | Nov 20, 2022 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets | Dec 16, 2024 | Uncertainty Quantificationvalid | CodeCode Available | 0 | 5 |
| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
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| Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation | Oct 1, 2024 | EEGElectromyography (EMG) | CodeCode Available | 0 | 5 |
| Learning thermodynamically constrained equations of state with uncertainty | Jun 29, 2023 | GPRUncertainty Quantification | CodeCode Available | 0 | 5 |
| Leave-One-Out Stable Conformal Prediction | Apr 16, 2025 | Computational EfficiencyConformal 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 |
| Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivity | Sep 12, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images | Sep 5, 2022 | Semantic SegmentationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak | Feb 15, 2025 | Bayesian InferenceConformal Prediction | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Considering discrepancy when calibrating a mechanistic electrophysiology model | Jan 13, 2020 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception | Jun 24, 2025 | ObjectPose Estimation | CodeCode Available | 0 | 5 |
| LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation | Mar 25, 2025 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? | Feb 2, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
