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Uncertainty Quantification

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Showing 1726–1750 of 2366 papers

TitleStatusHype
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors—0
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model—0
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices—0
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology—0
A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression—0
A Thermo-Electro-Mechanical Model for Long-Term Reliability of Aging Transmission Lines—0
AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING—0
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites—0
A Unified Bayesian Framework for Pricing Catastrophe Bond Derivatives—0
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes—0
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification—0
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations—0
Automated Learning of Interpretable Models with Quantified Uncertainty—0
Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge—0
Autonomous synthesis of metastable materials—0
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability—0
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution—0
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities—0
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors—0
A view on model misspecification in uncertainty quantification—0
Information-Geometric Barycenters for Bayesian Federated Learning—0
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization—0
BARNN: A Bayesian Autoregressive and Recurrent Neural Network—0
Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference—0
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection—0
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