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  • Research Article
  • 10.1137/24m1716835
Tensor-Variate Gaussian Process Regression for Efficient Emulation of Complex Systems: Comparing Regressor and Covariance Structures in Outer Product and Parallel Partial Emulators
  • Apr 20, 2026
  • SIAM/ASA Journal on Uncertainty Quantification
  • D Semochkina + 2 more

  • Research Article
  • 10.1137/24m1723838
<tt>PCE-Net</tt> : High-Dimensional Surrogate Modeling for Learning Uncertainty
  • Feb 26, 2026
  • SIAM/ASA Journal on Uncertainty Quantification
  • Paz Fink Shustin + 6 more

  • Open Access Icon
  • Research Article
  • 10.1137/25m1731320
Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data
  • Feb 23, 2026
  • SIAM/ASA Journal on Uncertainty Quantification
  • Tim Gyger + 2 more

  • Research Article
  • 10.1137/25m1744605
Subspace Splitting Fast Sampling from Gaussian Posterior Distributions of Linear Inverse Problems
  • Feb 3, 2026
  • SIAM/ASA Journal on Uncertainty Quantification
  • Daniela Calvetti + 1 more

  • Research Article
  • 10.1137/24m1684220
Random Fourier Features Based Gaussian Process Models for Stochastic Simulations
  • Jan 6, 2026
  • SIAM/ASA Journal on Uncertainty Quantification
  • Ying Wu + 2 more

  • Research Article
  • 10.1137/24m1649344
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models Using Markov Chain Monte Carlo
  • Jan 2, 2026
  • SIAM/ASA Journal on Uncertainty Quantification
  • Shijie Zhong + 3 more

  • Research Article
  • 10.1137/24m1721591
Active Learning via Heteroskedastic Rational Kriging
  • Jan 2, 2026
  • SIAM/ASA Journal on Uncertainty Quantification
  • Shangkun Wang + 1 more

  • Open Access Icon
  • Research Article
  • 10.1137/24m170510x
Adaptive Reduced Tempering for Bayesian Inverse Problems and Rare Event Simulation
  • Dec 8, 2025
  • SIAM/ASA Journal on Uncertainty Quantification
  • Frédéric Cérou + 2 more

International audience

  • Research Article
  • Cite Count Icon 1
  • 10.1137/25m1731812
A Multifidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
  • Nov 25, 2025
  • SIAM/ASA Journal on Uncertainty Quantification
  • Thomas E Coons + 1 more

  • Research Article
  • 10.1137/24m170003x
Stability for a Stochastic Inverse Source Problem in Eddy Current Equations
  • Nov 13, 2025
  • SIAM/ASA Journal on Uncertainty Quantification
  • Tianjiao Wang + 2 more