arXiv Machine Learning June 25, 2026 By Annalena Kofler, Maximilian Dax, Stephen R. Green, Jonas Wildberger, Nihar Gupte, Jakob H. Macke, Jonathan Gair, Alessandra Buonanno, Bernhard Sch\"olkopf

Flexible Gravitational-Wave Parameter Estimation with Transformers

Read the original on arXiv Machine Learning →

arXiv:2512. 02968v2 Announce Type: replace-cross Abstract: Gravitational-wave data analysis relies on accurate and efficient methods to extract physical information from noisy detector signals, yet the increasing rate and complexity of observations represent a growing challenge.

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

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