Gravitational-wave parameter inference using Deep Learning

Álvares, João D.; Font, José A.; Freitas, Felipe F.; Freitas, Osvaldo G.; Morais, António P.; Nunes, Solange; Onofre, Antonio; Torres-Forne, Alejandro

doi:10.1109/CBMI50038.2021.9461893

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Gravitational-wave parameter inference using Deep Learning

Álvares, J. D., Font, J. A., Freitas, F. F., Freitas, O. G., Morais, A. P., Nunes, S., et al. (2021). Gravitational-wave parameter inference using Deep Learning. In IEEE (Ed.), 2021 International Conference on Content-Based Multimedia Indexing (CBMI). doi:10.1109/CBMI50038.2021.9461893.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-82A2-C Version Permalink: https://hdl.handle.net/21.11116/0000-0009-82A3-B

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Creators:
Álvares, João D., Author
Font, José A., Author
Freitas, Felipe F., Author
Freitas, Osvaldo G., Author
Morais, António P., Author
Nunes, Solange, Author
Onofre, Antonio, Author
Torres-Forne, Alejandro¹, Author

Affiliations:
1Computational Relativistic Astrophysics, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_2541714

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Dates: Published Online: 2021

Publication Status: Published online

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Identifiers: DOI: 10.1109/CBMI50038.2021.9461893

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Title: International Conference on Content-Based Multimedia Indexing (CBMI, 2021

Place of Event: Lille, France

Start-/End Date: 2021-06-28 - 2021-06-30

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Title: 2021 International Conference on Content-Based Multimedia Indexing (CBMI)

Source Genre: Proceedings

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IEEE, Editor

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