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ArticleMutual information for explainable deep learning of multiscale systems

Søren Taverniers2021

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Articlebronze2021

Mutual information for explainable deep learning of multiscale systems

Søren Taverniers · Eric Joseph Hall · Markos A. Katsoulakis · Daniel M. Tartakovsky

14 citations·0/0 files stored·Journal of Computational Physics

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Probabilistic and Robust Engineering Design Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference

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References

2007Global Sensitivity Analysis. The Primer 1996Importance measures in global sensitivity analysis of nonlinear models 2018Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization 2006A new uncertainty importance measure 1995Global Sensitivity Analysis 2005Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design 2006Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches 2008A new computational method of a moment-independent uncertainty importance measure

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2024Age-appropriate design of smart senior care product APP interface based on deep learning

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Year2021

Typearticle

Published2021-07-09

VenueJournal of Computational Physics

ISSN-L0021-9991

Languageen

Citations14

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.jcp.2021.110551

openalex_workW3084045284

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