MS26B - Computational and stochastic methods in inverse problemsOrganized by: Jana de Wiljes, Sebastian Reich |
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Uri Ascher
A probabilistic stopping rule for randomized algorithms for inverse problems
Adrian Sandu
Reduced Dimension and Sampling Approaches to Variational Inference
Yuan Cheng
A multi-grid approach to localization in ensemble Kalman filters
Walter Acevedo
Non-Gaussian data assimilation via a localized hybrid particle-ensemble Kalman filter
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