GP15, a ResNet plus normalizing-flow model trained on stacked spectrograms, recovers most binary black hole parameters in agreement with LVK posteriors on 33 three-detector events, with generation of 10,000 posterior samples in about one second.
Gramaxo Freitas, J
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Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data
GP15, a ResNet plus normalizing-flow model trained on stacked spectrograms, recovers most binary black hole parameters in agreement with LVK posteriors on 33 three-detector events, with generation of 10,000 posterior samples in about one second.