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Uncertainty Quantification

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TitleStatusHype
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring—0
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification—0
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks—0
Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction—0
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control—0
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization—0
Weakly Supervised Pixel-Level Annotation with Visual Interpretability—0
When Can We Reuse a Calibration Set for Multiple Conformal Predictions?—0
When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System—0
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges—0
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer—0
Where Do We Go From Here? Guidelines For Offline Recommender Evaluation—0
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty—0
With or Without Replacement? Improving Confidence in Fourier Imaging—0
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond—0
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts—0
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals—0
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs—0
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models—0
Fairness Uncertainty Quantification: How certain are you that the model is fair?—0
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks—0
Fair Uncertainty Quantification for Depression Prediction—0
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows—0
Fast Likelihood-Free Parameter Estimation for Lévy Processes—0
Fast Uncertainty Estimates in Deep Learning Interatomic Potentials—0
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