arXiv Machine Learning June 11, 2026 By Xu-Hui Zhou, Lorenzo Beronilla, Michael K. Sleeman, Hangchuan Hu, Matthias Morzfeld, Andrew M. Stuart, Tamer A. Zaki

Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks

Read the original on arXiv Machine Learning →

arXiv:2602. 23461v2 Announce Type: replace-cross Abstract: Data assimilation (DA) for compressible flows with shocks is challenging because many classical DA methods generate spurious oscillations and nonphysical features near uncertain shocks.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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