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SIAM-ASA Journal on Uncertainty Quantification

IF1.9

论文数13

被引数

期刊论文 13

发表时间

Local Transfer Learning Gaussian Process Modeling, with Applications to Surrogate Modeling of Expensive Computer Simulators 局部迁移学习高斯过程建模及其在昂贵计算机模拟器代理建模中的应用

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Wang, Xinming; Mak, Simon; Miller, John; Wu, Jianguo

Batch Bayesian Optimization via Particle Gradient Flows 通过粒子梯度流进行批量贝叶斯优化

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Crovini, Enrico; Cotter, Simon L.; Zygalakis, Konstantinos; Duncan, Andrew B.

Bayesian Inference for Non-synchronously Observed Diffusions\ast 非同步观测扩散的贝叶斯推断\ast

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Jasra, Ajay; Kamatani, Kengo; Wu, Amin

Dirichlet-Neumann Averaging: The DNA of Efficient Gaussian Process Simulation Dirichlet-Neumann平均：高效高斯过程模拟的DNA

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Kutri, Robert; Scheichl, Robert

Local Sensitivity Analysis for Bayesian Inverse Problems 贝叶斯反问题的局部敏感性分析

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Doelz, Juergen; Ebert, David

PCE-Net: High-Dimensional Surrogate Modeling for Learning Uncertainty PCE-Net：高维代理建模学习不确定性

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Shustin, Paz Fink; Ubaru, Shashanka; Zimon, Malgorzata J.; Lu, Songtao; Kalantzis, Vasileios; Horesh, Lior; Avron, Haim

Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data 大规模空间数据全尺度高斯过程近似的迭代方法

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Gyger, Tim; Furrer, Reinhard; Sigrist, Fabio

Domain Uncertainty Quantification for the Lippmann-Schwinger Volume Integral Equation Lippmann-Schwinger体积积分方程的域不确定性量化

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Henriquez, Fernando; Labarca-Figueroa, Ignacio

The Bayesian Finite Element Method in Inverse Problems: A Critical Comparison between Probabilistic Models for Discretization Error 逆问题中的贝叶斯有限元方法：离散化误差概率模型间的批判性比较

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Poot, Anne; Rocha, Iuri; Kerfriden, Pierre; van der Meer, Frans

Random Fourier Features Based Gaussian Process Models for Stochastic Simulations*基于随机傅里叶特征的随机模拟高斯过程模型*

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Wu, Ying; Xiong, Shifeng; Chien, Peter

Active Learning via Heteroskedastic Rational Kriging 基于异方差理性克里金的有监督学习

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Wang, Shangkun; Joseph, V. Roshan

Neural Network Approaches for Variance Reduction in Fluctuation Formulas 波动公式中用于方差缩减的神经网络方法

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Pavliotis, G. A.; Spacek, R.; Stoltz, G.; Vaes, U.

Subspace Splitting Fast Sampling from Gaussian Posterior Distributions of Linear Inverse Problems\ast 子空间分割法快速采样线性反问题的高斯后验分布

SIAM-ASA Journal on Uncertainty Quantification

IF1.9

2026-01-01

PREAI

Calvetti, Daniela; Somersalo, Erkki