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Uncertainty Quantification

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Showing 951–975 of 2366 papers

TitleStatusHype
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks—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
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares—0
Conditional Distribution Quantization in Machine Learning—0
A Survey on Uncertainty Quantification Methods for Deep Learning—0
Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures—0
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions—0
Bayesian Dynamical System Identification With Unified Sparsity Priors And Model Uncertainty—0
Functional Bayesian Neural Networks for Model Uncertainty Quantification—0
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs—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
Asymmetric Duos: Sidekicks Improve Uncertainty—0
Function-Space Regularization for Deep Bayesian Classification—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
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression—0
Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac—0
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