Hyper-differential sensitivity analysis for inverse problems governed by ODEs with application to COVID-19 modeling. [PDF]
Stevens M, Sunseri I, Alexanderian A.
europepmc +1 more source
The Ellis-Gohberg inverse problem for matrix-valued Wiener functions on the line [PDF]
M. A. Kaashoek, F. van Schagen
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Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction. [PDF]
Wen J, Ahmad R, Schniter P.
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Mechanistic Modeling of Longitudinal Shape Changes: Equations of Motion and Inverse Problems. [PDF]
Hsieh DN +3 more
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Corrigenda: Inverse multi-parameter eigenvalue problems for matrices II [PDF]
Patrick J. Browne, B. D. Sleeman
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On Architecture Selection for Linear Inverse Problems with Untrained Neural Networks. [PDF]
Sun Y, Zhao H, Scarlett J.
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Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems. [PDF]
Alçalar YU, Akçakaya M.
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Utilising Surrogate Models to Approximate Cardiac Potentials when Solving Inverse Problems via Bayesian Techniques. [PDF]
Kamalakkannan A, Johnston P, Johnston B.
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Inverse eigenvalue problems for perturbed spherical Schrödinger operators [PDF]
Aleksey Kostenko +2 more
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Entropy-Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA) for inverse problems in imaging. [PDF]
Ma L, Wu B, Yao Y, Teng Y.
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