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Uncertainty Quantification

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Showing 1526–1550 of 2366 papers

TitleStatusHype
Variational Density Propagation Continual Learning—0
Variational Deterministic Uncertainty Quantification—0
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
Uncertainty quantification of molecular property prediction using Bayesian neural network models—0
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models—0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control—0
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning—0
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification—0
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