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| Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing | May 13, 2024 | Uncertainty Quantification | —Unverified | 0 |
| DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories | Feb 15, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles | Jun 1, 2023 | Operator learningUncertainty Quantification | —Unverified | 0 |
| Deep Compositional Spatial Models | Jun 6, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Deep priors for satellite image restoration with accurate uncertainties | Dec 5, 2024 | DeblurringDenoising | —Unverified | 0 |
| Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis | Jun 21, 2025 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Deep Probability Segmentation: Are segmentation models probability estimators? | Sep 19, 2024 | SegmentationUncertainty Quantification | —Unverified | 0 |
| Deep State-Space Model for Predicting Cryptocurrency Price | Nov 21, 2023 | BenchmarkingUncertainty Quantification | —Unverified | 0 |
| Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification | Jan 19, 2022 | DecoderImage-to-Image Regression | —Unverified | 0 |
