Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

With the improving sensitivity of the global network of gravitational-wave detectors, we expect to observe hundreds of transient gravitational-wave events per year. The current methods used to estimate their source parameters employ optimally sensitive but computationally costly Bayesian inference a...

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