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- Tim Jahn. Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise. SIAM/ASA J. Uncertain. Quantification, 11(2):591-615, June 2023.
- Fedor Goncharov, Eric Barat, Thomas Dautremer. Nonparametric Posterior Learning for Emission Tomography. SIAM/ASA J. Uncertain. Quantification, 11(2):452-479, June 2023.
- Babak Maboudi Afkham, Yiqiu Dong, Per Christian Hansen. Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography. SIAM/ASA J. Uncertain. Quantification, 11(1):31-61, March 2023.
- Euan A. Spence, Jared Wunsch. Wavenumber-Explicit Parametric Holomorphy of Helmholtz Solutions in the Context of Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification, 11(2):567-590, June 2023.
- Wouter Edeling. On the Deep Active-Subspace Method. SIAM/ASA J. Uncertain. Quantification, 11(1):62-90, March 2023.
- Ben Mansour Dia. A Continuation Method in Bayesian Inference. SIAM/ASA J. Uncertain. Quantification, 11(2):646-681, June 2023.
- Baptiste Kerleguer. Multifidelity Surrogate Modeling for Time-Series Outputs. SIAM/ASA J. Uncertain. Quantification, 11(2):514-539, June 2023.
- M. B. Lykkegaard, Tim J. Dodwell, Colin Fox, G. Mingas, Robert Scheichl. Multilevel Delayed Acceptance MCMC. SIAM/ASA J. Uncertain. Quantification, 11(1):1-30, March 2023.
- Maarten V. De Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart. Convergence Rates for Learning Linear Operators from Noisy Data. SIAM/ASA J. Uncertain. Quantification, 11(2):480-513, June 2023.