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20232026
most citedEfficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference

5 citations · 8 across the 9 of their papers we have counts for

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math.NA2026

Regularity-informed data assimilation: A hierarchical Bayesian approach to ensemble Kalman filtering for hyperbolic conservation laws

Jan Glaubitz, Daniel Sharp, Mathieu le Provost +1

We propose a novel regularity-informed filtering framework for data assimilation in the context of hyperbolic conservation laws and other time-dependent partial differential equati…