Gravitational-wave parameter estimation with autoregressive neural network flows. - Stephen R. Green; Christine Simpson; Jonathan Gair (CoRR, 2020)

Real-time gravitational-wave science with neural posterior estimation. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (CoRR, 2021)

Complete parameter inference for GW150914 using deep learning. - Stephen R. Green; Jonathan Gair (Mach. Learn. Sci. Technol., 2021)

Group equivariant neural posterior estimation. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Michael Deistler; Bernhard Schölkopf; Jakob H. Macke (ICLR, 2022)

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Michael Pürrer; Jonas Wildberger; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (CoRR, 2022)

Adapting to noise distribution shifts in flow-based gravitational-wave inference. - Jonas Wildberger; Maximilian Dax; Stephen R. Green; Jonathan Gair; Michael Pürrer; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (CoRR, 2022)

The second data release from the European Pulsar Timing Array III. Search for gravitational wave signals. - J. Antoniadis; P. Arumugam; S. Arumugam; S. Babak; M. Bagchi; A.-S. Bak Nielsen; Cees G. Bassa; A. Bathula; A. Berthereau; M. Bonetti; E. Bortolas; Paul R. Brook; et al. (Zenodo, 2023)

The second data release from the European Pulsar Timing Array I. The dataset and timing analysis. - J. Antoniadis; S. Babak; A.-S. Bak Nielsen; C. G. Bassa; A. Berthereau; M. Bonetti; E. Bortolas; Paul R. Brook; M. Burgay; R. N. Caballero; A. Chalumeau; David J. Champion; et al. (Zenodo, 2023)

The second data release from the European Pulsar Timing Array I. The dataset and timing analysis. - J. Antoniadis; S. Babak; A.-S. Bak Nielsen; C. G. Bassa; A. Berthereau; M. Bonetti; E. Bortolas; Paul R. Brook; M. Burgay; R. N. Caballero; A. Chalumeau; David J. Champion; et al. (Zenodo, 2023)

Real-time gravitational-wave inference for binary neutron stars using machine learning. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Nihar Gupte; Michael Pürrer; Vivien Raymond; Jonas Wildberger; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (CoRR, 2024)

Real-time inference for binary neutron star mergers using machine learning. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Nihar Gupte; Michael Pürrer; Vivien Raymond; Jonas Wildberger; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (Nat., 2025)