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Uncertainty Quantification

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Showing 951–975 of 2366 papers

TitleStatusHype
Extracting Dynamical Models from Data—0
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion—0
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning—0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models—0
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification—0
Extending the Scope of Inference About Predictive Ability to Machine Learning Methods—0
Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach—0
Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes—0
Exponential Convergence of CAVI for Bayesian PCA—0
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders—0
Functional Bayesian Neural Networks for Model Uncertainty Quantification—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data—0
Functional SDE approximation inspired by a deep operator network architecture—0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions—0
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks—0
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification—0
Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review—0
Function-Space Variational Inference for Deep Bayesian Classification—0
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review—0
Fuzzy finite element model updating using metaheuristic optimization algorithms—0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness—0
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