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Optimal experimental design for the quantification of model uncertainty
Presenter
- Karen Veroy-Grepl
April 22, 2020
ICERM
The Palais-Smale Theorem and the Solution of Hilbert’s 23 Problem
Presenter
- Karen Uhlenbeck
April 6, 2020
IAS
Predictive data science for physical systems- From model reduction to scientific machine learning
Presenter
- Karen Willcox
February 20, 2020
ICERM
Learning spoken concepts from unlabeled audio-visual data
Presenter
- Karen Livescu
February 18, 2019
ICERM
Learning low-dimensional models: Nonlinear model reduction via lifting transformations and proper orthogonal decomposition
Presenter
- Karen Willcox
October 15, 2018
IPAM
Multi-fidelity approaches: Fusing models and data to achieve efficient design, optimization and uncertainty quantification
Presenter
- Karen Willcox
September 18, 2018
IPAM
Model order reduction: Approximate yet accurate surrogates for large-scale simulation
Presenter
- Karen Willcox
September 17, 2018
IPAM
