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Uncertainty Quantification

Papers

Showing 311320 of 2366 papers

TitleStatusHype
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations0
Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation0
A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression0
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology0
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble0
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices0
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model0
AI-Powered Bayesian Inference0
Active operator learning with predictive uncertainty quantification for partial differential equations0
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors0
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