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Papers matching “model uncertainty quantification” 7

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Uncertainty Quantification For Learned ISTA
2023 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) conference-paper Mathematics Numerical methods in inverse problems

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

4

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2022 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Tensor decomposition and applications Open access

Sergey Dolgov, Lars Grasedyck, Robert Scheichl

20

citations
Mean-field control variate methods for kinetic equations with uncertainties and applications to socioeconomic sciences
2022 Institutional Research Information System University of Ferrara (University of Ferrara) article Mathematics Numerical methods for differential equations Open access

Lorenzo Pareschi, Torsten Trimborn, Mattia Zanella

8

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

citations
Discussion of Specifying prior distributions in reliability applications
2023 Applied Stochastic Models in Business and Industry editorial Mathematics Statistical Distribution Estimation and Applications Open access

Maria Kateri

0

citations
Computing tensor operator exponentials within low‐rank tensor formats with application to the parameter‐dependent multigrid method
2023 PAMM article Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Tim A. Werthmann

0

citations
Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis–Hastings
2023 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Markov Chains and Monte Carlo Methods Open access

Juan P. Madrigal-Cianci, Fabio Nobile, Raul F. Tempone

11

citations

7 results