| Band-gap regression with architecture-optimized message-passing neural networks | Sep 12, 2023 | Band Gapband gap regression | CodeCode Available | 0 | 5 |
| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | Nov 30, 2018 | Anomaly DetectionAutonomous Driving | CodeCode Available | 0 | 5 |
| Prediction Sets Adaptive to Unknown Covariate Shift | Mar 11, 2022 | PredictionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks | Aug 14, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification | Jul 22, 2021 | regressionUncertainty Quantification | CodeCode Available | 0 | 5 |
| A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification | Jan 13, 2020 | Seismic ImagingUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation | Mar 18, 2024 | AnatomySegmentation | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| 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 |
| 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 |
| A variational neural Bayes framework for inference on intractable posterior distributions | Apr 16, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Conformal Prediction for Multimodal Regression | Oct 25, 2024 | Conformal PredictionPrediction | 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 |
| Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration Strategy | Apr 9, 2025 | Computational EfficiencyPrediction Intervals | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak | Feb 15, 2025 | Bayesian InferenceConformal Prediction | CodeCode Available | 0 | 5 |
| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| Conformal Prediction for Image Segmentation Using Morphological Prediction Sets | Mar 7, 2025 | Conformal PredictionImage Segmentation | CodeCode Available | 0 | 5 |
| A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression | Jun 18, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
