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Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems and optimal experimental design
Presenter
- Omar Ghattas
October 7, 2020
IMSI
Scalable algorithms for optimal experimental design for large-scale Bayesian inverse problems governed by complex models
Presenter
- Omar Ghattas
October 18, 2018
IPAM
Scalable algorithms for optimal training data for Bayesian inference of large scale models
Presenter
- Omar Ghattas
September 27, 2018
IPAM