arXiv Machine Learning June 5, 2026 By Nicholas Zolman, Sajeda Mokbel, Samuel E. Otto, Steven L. Brunton

Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections

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arXiv:2606. 05618v1 Announce Type: cross Abstract: Extreme events -- such as earthquakes and coronal mass ejections -- are common in many chaotic dynamical systems, yet are difficult to characterize and predict due to the subtle instability mechanisms that drive them.

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

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