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| Distribution-free uncertainty quantification for classification under label shift | Mar 4, 2021 | ClassificationConformal Prediction | —Unverified | 0 |
| Bayesian learning of the optimal action-value function in a Markov decision process | May 3, 2025 | Decision MakingSequential Decision Making | —Unverified | 0 |
| An Ensemble Quadratic Echo State Network for Nonlinear Spatio-Temporal Forecasting | Aug 16, 2017 | ManagementSpatio-Temporal Forecasting | —Unverified | 0 |
| A data-centric weak supervised learning for highway traffic incident detection | Dec 17, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Distribution free uncertainty quantification in neuroscience-inspired deep operators | Dec 12, 2024 | Conformal PredictionEdge-computing | —Unverified | 0 |
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| Do Large Language Models (Really) Need Statistical Foundations? | May 25, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification | Jan 8, 2024 | image-classificationImage Classification | —Unverified | 0 |
| Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation | Mar 28, 2025 | SegmentationUncertainty Quantification | —Unverified | 0 |
| Deep Deterministic Uncertainty: A New Simple Baseline | Jan 1, 2023 | Active LearningSemantic Segmentation | —Unverified | 0 |
| Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization | Feb 28, 2023 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting | Jun 28, 2018 | Spatio-Temporal ForecastingUncertainty Quantification | —Unverified | 0 |
| Deep Ensemble as a Gaussian Process Approximate Posterior | Apr 30, 2022 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting | Apr 4, 2022 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 |
| Deep Ensembles from a Bayesian Perspective | May 27, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions | Apr 27, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian LSTM for indoor temperature modeling | Apr 4, 2025 | Model Predictive ControlUncertainty Quantification | —Unverified | 0 |
| Deep convolutional neural networks for uncertainty propagation in random fields | Jul 24, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Deep Evidential Learning for Bayesian Quantile Regression | Aug 21, 2023 | Disentanglementquantile regression | —Unverified | 0 |
| Deep Evidential Learning for Radiotherapy Dose Prediction | Apr 26, 2024 | PredictionUncertainty Quantification | —Unverified | 0 |
| Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction | Jun 20, 2025 | PredictionTime Series | —Unverified | 0 |
| An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds | Nov 25, 2022 | Uncertainty Quantification | —Unverified | 0 |