Stephen R. Green

Orcid: 0000-0002-6987-6313

Affiliations:

Max Planck Institute for Gravitational Physics, Potsdam, Germany

According to our database¹, Stephen R. Green authored at least 9 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Real-time gravitational-wave inference for binary neutron stars using machine learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Flow Matching for Scalable Simulation-Based Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adapting to noise distribution shifts in flow-based gravitational-wave inference.

[BibT_eX]

[DOI]

CoRR, 2022

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference.

[BibT_eX]

[DOI]

CoRR, 2022

Using machine learning to parametrize postmerger signals from binary neutron stars.

[BibT_eX]

[DOI]

CoRR, 2022

Group equivariant neural posterior estimation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Complete parameter inference for GW150914 using deep learning.

[BibT_eX]

[DOI]

Stephen R. Green

Jonathan Gair

Mach. Learn. Sci. Technol., September, 2021

Real-time gravitational-wave science with neural posterior estimation.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Gravitational-wave parameter estimation with autoregressive neural network flows.

[BibT_eX]

[DOI]

Stephen R. Green

Christine Simpson

Jonathan Gair

CoRR, 2020

Stephen R. Green

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Bibliography

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