| Deep Compositional Spatial Models | Jun 6, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| Deep composition of tensor-trains using squared inverse Rosenblatt transports | Jul 14, 2020 | parameter estimationUncertainty Quantification | —Unverified | 0 | 0 |
| Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems | Sep 18, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep convolutional neural networks for uncertainty propagation in random fields | Jul 24, 2019 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Deep Deterministic Uncertainty: A New Simple Baseline | Jan 1, 2023 | Active LearningSemantic Segmentation | —Unverified | 0 | 0 |
| Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting | Jun 28, 2018 | Spatio-Temporal ForecastingUncertainty Quantification | —Unverified | 0 | 0 |
| Deep Ensemble as a Gaussian Process Approximate Posterior | Apr 30, 2022 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting | Apr 4, 2022 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 | 0 |
| Deep Ensembles from a Bayesian Perspective | May 27, 2021 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions | Apr 27, 2023 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Deep Evidential Learning for Bayesian Quantile Regression | Aug 21, 2023 | Disentanglementquantile regression | —Unverified | 0 | 0 |
| Deep Evidential Learning for Radiotherapy Dose Prediction | Apr 26, 2024 | PredictionUncertainty Quantification | —Unverified | 0 | 0 |
| DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting | Feb 12, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Deep interpretable ensembles | May 25, 2022 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning | Nov 24, 2023 | Time SeriesUncertainty Quantification | —Unverified | 0 | 0 |
| Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems | Oct 17, 2022 | Bayesian InferenceDeep Learning | —Unverified | 0 | 0 |
| Deep Learning: A Tutorial | Oct 10, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification | May 28, 2025 | Conformal PredictionPrediction Intervals | —Unverified | 0 | 0 |
| Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics | Apr 11, 2022 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Deep learning electromagnetic inversion with convolutional neural networks | Dec 26, 2018 | Deep LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems | Jan 11, 2019 | Deep LearningImage Segmentation | —Unverified | 0 | 0 |
| Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs | Mar 28, 2024 | SurveyUncertainty Quantification | —Unverified | 0 | 0 |
| Deep Learning to advance the Eigenspace Perturbation Method for Turbulence Model Uncertainty Quantification | Feb 11, 2022 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification | Jan 18, 2021 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing | May 13, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |