Articles Citing

Flexible Gravitational-Wave Parameter Estimation with Transformers

Annalena Kofler ^1,2,*, Maximilian Dax ^1,3,4, Stephen R. Green ⁵, Jonas Wildberger ³, Nihar Gupte ^2,6, Jakob H. Macke ^1,7, Jonathan Gair², Alessandra Buonanno ^2,6, and Bernhard Schölkopf ^1,3

¹Max Planck Institute for Intelligent Systems, Max-Planck-Ring 4, 72076 Tübingen, Germany
²Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am Mühlenberg 1, 14476 Potsdam, Germany
³ELLIS Institute Tübingen, Maria-von-Linden-Straße 2, 72076 Tübingen, Germany
⁴Tübingen AI Center, Maria-von-Linden-Straße 1, 72076 Tübingen, Germany
⁵Nottingham Centre of Gravity and School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
⁶Department of Physics, University of Maryland, College Park, Maryland 20742, USA
⁷Machine Learning in Science, University of Tübingen and Tübingen AI Center, 72076 Tübingen, Germany

^*Contact author: annalena.kofler@tuebingen.mpg.de

Domain-optimized machine-learning tool for gravitational-wave inference

Javier Roulet, Marco Crisostomi, Lucy M. Thomas, and Katerina Chatziioannou

Phys. Rev. D 114 024080 (2026)

Eccentricity Constraints Disfavor Single–Single Capture in Nuclear Star Clusters as the Origin of all LIGO–Virgo–KAGRA Binary Black Holes

Nihar Gupte, M. Coleman Miller, Rhiannon Udall, Sophie Bini, Alexandre Toubiana, Alessandra Buonanno, Jonathan Gair, Aldo Gamboa, Lorenzo Pompili, Antoni Ramos-Buades, Maximilian Dax, Stephen R. Green, Annalena Kofler, Jakob Macke, and Bernhard Schölkopf

ApJ 1009 90 (2026)

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Articles Citing

Flexible Gravitational-Wave Parameter Estimation with Transformers

Domain-optimized machine-learning tool for gravitational-wave inference

Eccentricity Constraints Disfavor Single–Single Capture in Nuclear Star Clusters as the Origin of all LIGO–Virgo–KAGRA Binary Black Holes

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