| A Dictionary Approach to EBSD Indexing | Feb 26, 2015 | Anomaly DetectionUncertainty Quantification | —Unverified | 0 |
| Beta-Sorted Portfolios | Aug 23, 2022 | Uncertainty Quantification | —Unverified | 0 |
| A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications | Jun 26, 2020 | Autonomous VehiclesUncertainty Quantification | —Unverified | 0 |
| Deep convolutional neural networks for uncertainty propagation in random fields | Jul 24, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting | Jun 28, 2018 | Spatio-Temporal ForecastingUncertainty Quantification | —Unverified | 0 |
| Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift | Dec 16, 2021 | BenchmarkingClassification | —Unverified | 0 |
| A Perspective on Gaussian Processes for Earth Observation | Jul 2, 2020 | Causal InferenceEarth Observation | —Unverified | 0 |
| A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth | Nov 28, 2023 | Time-to-Event PredictionUncertainty Quantification | —Unverified | 0 |
| A design specification for Critical Illness Digital Twins to cure sepsis: responding to the National Academies of Sciences, Engineering and Medicine Report: Foundational Research Gaps and Future Directions for Digital Twins | May 8, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Deep composition of tensor-trains using squared inverse Rosenblatt transports | Jul 14, 2020 | parameter estimationUncertainty Quantification | —Unverified | 0 |
| Early-Exit Neural Networks with Nested Prediction Sets | Nov 10, 2023 | Conformal PredictionPrediction | —Unverified | 0 |
| Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification | Jan 19, 2022 | DecoderImage-to-Image Regression | —Unverified | 0 |
| Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks | Nov 23, 2022 | BenchmarkingDeep Learning | —Unverified | 0 |
| A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Deep Compositional Spatial Models | Jun 6, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems | Sep 18, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Ensemble as a Gaussian Process Approximate Posterior | Apr 30, 2022 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification | Mar 6, 2025 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization | Feb 14, 2023 | Boundary DetectionManagement | —Unverified | 0 |
| STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes | May 16, 2025 | Gaussian ProcessesGPR | —Unverified | 0 |
| Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections | Oct 22, 2024 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning | May 3, 2024 | Conformal PredictionUncertainty Quantification | —Unverified | 0 |
| An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring | Oct 2, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Decision Theoretic Bootstrapping | Mar 18, 2021 | Uncertainty Quantification | —Unverified | 0 |
| BayesIMP: Uncertainty Quantification for Causal Data Fusion | Jun 7, 2021 | Bayesian OptimisationCausal Inference | —Unverified | 0 |