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Deep active subspaces - a scalable method for high-dimensional
  uncertainty propagation

Deep active subspaces - a scalable method for high-dimensional uncertainty propagation

27 February 2019
Rohit Tripathy
Ilias Bilionis
ArXivPDFHTML

Papers citing "Deep active subspaces - a scalable method for high-dimensional uncertainty propagation"

2 / 2 papers shown
Title
Regression Trees Know Calculus
Regression Trees Know Calculus
Nathan Wycoff
31
0
0
22 May 2024
Learning Active Subspaces for Effective and Scalable Uncertainty
  Quantification in Deep Neural Networks
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks
Sanket R. Jantre
Nathan M. Urban
Xiaoning Qian
Byung-Jun Yoon
BDL
UQCV
29
4
0
06 Sep 2023
1