| Analysis, forecasting and system identification of a floating offshore wind turbine using dynamic mode decomposition | Nov 8, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Physics-constrained Bayesian inference of state functions in classical density-functional theory | Oct 7, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Generative emulation of chaotic dynamics with coherent prior | Apr 19, 2025 | DenoisingTrajectory Planning | —Unverified | 0 |
| Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks | Feb 23, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| Generative Latent Neural PDE Solver using Flow Matching | Mar 28, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations | Feb 23, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Generative Parameter Sampler For Scalable Uncertainty Quantification | May 28, 2019 | General ClassificationUncertainty Quantification | —Unverified | 0 |
| Generative structured normalizing flow Gaussian processes applied to spectroscopic data | Dec 14, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Generative vs. Discriminative modeling under the lens of uncertainty quantification | Jun 13, 2024 | Uncertainty Quantification | —Unverified | 0 |
| GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction | Oct 26, 2024 | Computational EfficiencyUncertainty Quantification | —Unverified | 0 |
| Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction | Apr 24, 2025 | Conformal PredictionHallucination | —Unverified | 0 |
| Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty | Nov 14, 2019 | SegmentationUncertainty Quantification | —Unverified | 0 |
| Global Framework for Emulation of Nuclear Calculations | Feb 27, 2025 | SensitivityUncertainty Quantification | —Unverified | 0 |
| Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning | Apr 21, 2025 | Conformal PredictionKolmogorov-Arnold Networks | —Unverified | 0 |
| Bayesian deep learning of affordances from RGB images | Sep 27, 2021 | Continual LearningDeep Learning | —Unverified | 0 |
| Conformalized Link Prediction on Graph Neural Networks | Jun 26, 2024 | Conformal PredictionLink Prediction | —Unverified | 0 |
| Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks | Apr 17, 2023 | DecoderUncertainty Quantification | —Unverified | 0 |
| AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Identifying Reliable Predictions in Detection Transformers | Dec 2, 2024 | ObjectUncertainty Quantification | —Unverified | 0 |
| Gradient-enhanced deep neural network approximations | Nov 8, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Data-driven Bayesian Control of Port-Hamiltonian Systems | Sep 9, 2023 | energy managementGaussian Processes | —Unverified | 0 |
| Grad-Shafranov equilibria via data-free physics informed neural networks | Nov 22, 2023 | DiagnosticUncertainty Quantification | —Unverified | 0 |
| Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise | Jun 23, 2021 | Neural Architecture SearchUncertainty Quantification | —Unverified | 0 |
| Bayesian deep learning framework for uncertainty quantification in high dimensions | Oct 21, 2022 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification | Feb 20, 2025 | Ensemble LearningGaussian Processes | —Unverified | 0 |