"Physics-inspired deep learning to characterize the signal manifold of ..."

Asad Khan, Eliu A. Huerta, Arnav Das (2020)

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access: open

type: Informal or Other Publication

metadata version: 2024-08-06

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  - journals/corr/abs-2004-09524
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  - https://dblp.org/rec/journals/corr/abs-2004-09524
Asad Khan, Eliu A. Huerta, Arnav Das:
Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers. CoRR abs/2004.09524 (2020)

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