Canyam
AI summaries for academic research
Home
Preprint
Subscribe
Favorites
Tools
Analysis
Summary
Not logged in
Back
Journal Details
S
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
Papers
13
Citations
Related Insights
0
subscribe
Journal Papers
13
Related Insights
0
Journal Papers
13
Publication Date
Publication Date
IF
Citations
Local Transfer Learning Gaussian Process Modeling, with Applications to Surrogate Modeling of Expensive Computer Simulators
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Wang, Xinming; Mak, Simon; Miller, John; Wu, Jianguo
Share
Save
Batch Bayesian Optimization via Particle Gradient Flows
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Crovini, Enrico; Cotter, Simon L.; Zygalakis, Konstantinos; Duncan, Andrew B.
Share
Save
Bayesian Inference for Non-synchronously Observed Diffusions\ast
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Jasra, Ajay; Kamatani, Kengo; Wu, Amin
Share
Save
Dirichlet-Neumann Averaging: The DNA of Efficient Gaussian Process Simulation
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Kutri, Robert; Scheichl, Robert
Share
Save
Local Sensitivity Analysis for Bayesian Inverse Problems
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Doelz, Juergen; Ebert, David
Share
Save
PCE-Net: High-Dimensional Surrogate Modeling for Learning Uncertainty
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Shustin, Paz Fink; Ubaru, Shashanka; Zimon, Malgorzata J.; Lu, Songtao; Kalantzis, Vasileios; Horesh, Lior; Avron, Haim
Share
Save
Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Gyger, Tim; Furrer, Reinhard; Sigrist, Fabio
Share
Save
Domain Uncertainty Quantification for the Lippmann-Schwinger Volume Integral Equation
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Henriquez, Fernando; Labarca-Figueroa, Ignacio
Share
Save
The Bayesian Finite Element Method in Inverse Problems: A Critical Comparison between Probabilistic Models for Discretization Error
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Poot, Anne; Rocha, Iuri; Kerfriden, Pierre; van der Meer, Frans
Share
Save
Random Fourier Features Based Gaussian Process Models for Stochastic Simulations*
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Wu, Ying; Xiong, Shifeng; Chien, Peter
Share
Save
Active Learning via Heteroskedastic Rational Kriging
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Wang, Shangkun; Joseph, V. Roshan
Share
Save
Neural Network Approaches for Variance Reduction in Fluctuation Formulas
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Pavliotis, G. A.; Spacek, R.; Stoltz, G.; Vaes, U.
Share
Save
Subspace Splitting Fast Sampling from Gaussian Posterior Distributions of Linear Inverse Problems\ast
SIAM-ASA Journal on Uncertainty Quantification
IF
1.9
2026-01-01
0
PRE
AI
Calvetti, Daniela; Somersalo, Erkki
Share
Save