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Toward predictive digital twins: From physics-based modeling to scientific machine learning
Presenter
- Karen Willcox
October 8, 2020
IMSI
Optimal experimental design for the quantification of model uncertainty
Presenter
- Karen Veroy-Grepl
April 22, 2020
ICERM
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
Outer space, symplectic derivations of free Lie algebras and modular forms
Presenter
- Karen Vogtmann
March 28, 2017
SLMath
Giving "noise" the respect it deserves: ways to understand and visualize effects of stochasticity in ecological dynamics
Presenter
- Karen Abbott
October 30, 2015
MBI