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

13 Sep 2019Hunter GabbardChris MessengerIk Siong HengFrancesco TonoliniRoderick Murray-Smith

Gravitational wave (GW) detection is now commonplace and as the sensitivity of the global network of GW detectors improves, we will observe $\mathcal{O}(100)$s of transient GW events per year. The current methods used to estimate their source parameters employ optimally sensitive but computationally costly Bayesian inference approaches where typical analyses have taken between 6 hours and 5 days... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.