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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
Complexity vs Parsimony: The Challenge of Building Effective Nonlinear Dynamical Spatio-Temporal Forecasting Model
Presenter
- Chris Wikle
April 23, 2018
IMA
Motivic correlators and locally symmetric spaces IV
Presenter
- Alexander Goncharov
December 5, 2017
IAS
Motivic correlators and locally symmetric spaces III
Presenter
- Alexander Goncharov
October 31, 2017
IAS
Motivic correlators and locally symmetric spaces II
Presenter
- Alexander Goncharov
October 24, 2017
IAS
New strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems
Presenter
- Andrew Majda
January 11, 2017
IPAM