U. Seljak

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20242026

most citedThe Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)

1 citations · 1 across the 5 of their papers we have counts for

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stat.CO2024

Sequential Kalman Tuning of the $t$ -preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems

Richard D. P. Grumitt, Minas Karamanis, UroÅ¡ Seljak

Ensemble Kalman Inversion (EKI) has been proposed as an efficient method for the approximate solution of Bayesian inverse problems with expensive forward models. However, when appl…

Sequential Kalman Tuning of the t-preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems

Sequential Kalman Tuning of the $t$ -preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems