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| Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks | Sep 11, 2024 | Uncertainty Quantification | —Unverified | 0 |
| General Intelligent Imaging and Uncertainty Quantification by Deterministic Diffusion Model | Aug 23, 2024 | Autonomous DrivingBayesian Inference | —Unverified | 0 |
| Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy | Feb 20, 2022 | regressionSurvival Analysis | —Unverified | 0 |
| Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications | Feb 2, 2023 | Knowledge DistillationModel Compression | —Unverified | 0 |
| Generalizing Large Language Model Usability Across Resource-Constrained | May 13, 2025 | Code GenerationLanguage Modeling | —Unverified | 0 |
| Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory | Apr 18, 2024 | Decision MakingModel Selection | —Unverified | 0 |
| General Uncertainty Estimation with Delta Variances | Feb 20, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Generative emulation of chaotic dynamics with coherent prior | Apr 19, 2025 | DenoisingTrajectory Planning | —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 |
| Geophysical inverse problems with measurement-guided diffusion models | Jan 8, 2025 | DenoisingSeismic Inversion | —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 |
| Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks | Apr 17, 2023 | DecoderUncertainty Quantification | —Unverified | 0 |
| Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning | Apr 10, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Gradient-enhanced deep neural network approximations | Nov 8, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Grad-Shafranov equilibria via data-free physics informed neural networks | Nov 22, 2023 | DiagnosticUncertainty Quantification | —Unverified | 0 |
| Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks | May 26, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation | Sep 19, 2024 | GPUUncertainty Quantification | —Unverified | 0 |
| Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects | Mar 17, 2024 | Graph Neural NetworkUncertainty Quantification | —Unverified | 0 |