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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
Learning probability distributions; What can, What can't be done
Presenter
- Shai Ben-David
May 7, 2020
IAS
Using random walks to analyze Prediction with Expert Advice
Presenter
- Yuval Peres
December 5, 2016
IPAM
Passive scalar advection in parallel shear flows: WKBJ mode sorti on intermediate times and the evolution of skewness
Presenter
- Richard McLaughlin
April 15, 2010
IMA