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A unified approach for global sensitivity analysis based on active subspace and Kriging - ScienceDirect
Active subspace analysis and uncertainty quantification for a polydomain ferroelectric phase-field model - Lider S Leon, Paul R Miles, Ralph C Smith, William S Oates, 2019
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems | Advanced Modeling and Simulation in Engineering Sciences | Full Text
Exploiting Active Subspaces in Global Optimization: How Complex is your Problem?
MUMS: Transition & SPUQ Workshop - Dimension Reduction and Global Sensititvity Metrics Using Active Subspaces for Coupled Flow and Deformation Modeling - Hyunjung Lee, May 15, 2019
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Active Subspaces: Emerging Ideas for Dimension Reduction in Parameter Studies - Speaker Deck
10th AIAA Multidisciplinary Design Optimization Conference : Active Subspaces for Shape Optimization
Deep active subspaces -- a scalable method for high-dimensional uncertainty propagation | DeepAI
HESS - Global sensitivity analysis and adaptive stochastic sampling of a subsurface-flow model using active subspaces
HESS - Global sensitivity analysis and adaptive stochastic sampling of a subsurface-flow model using active subspaces
PDF] Erratum: Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces | Semantic Scholar
Adaptive active subspace-based efficient multifidelity materials design - ScienceDirect
nanoHUB.org - Resources: Active subspace methods in theory and practice: Or, does your model really have lots of parameters?: Watch Presentation
ATHENA: a first step into Active Subspaces | by Marco Tezzele | SISSA mathLab | Medium
Active subspace analysis and uncertainty quantification for a polydomain ferroelectric phase-field model - Lider S Leon, Paul R Miles, Ralph C Smith, William S Oates, 2019
Results of the active subspace method applied to LuKARS. a)-f) show the... | Download Scientific Diagram
ATHENA: a first step into Active Subspaces | by Marco Tezzele | SISSA mathLab | Medium
Learning Active Multimodal Subspaces in the Brain | bioRxiv