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20072024
most citedFrequency-domain gravitational waves from non-precessing black-hole binaries. I. New numerical waveforms and anatomy of the signal

792 citations · 1.9k across the 19 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

gr-qc2022★ 22 cited

Adapting to noise distribution shifts in flow-based gravitational-wave inference

Jonas Wildberger, Maximilian Dax, Stephen R. Green +5

Deep learning techniques for gravitational-wave parameter estimation have emerged as a fast alternative to standard samplers $\unicode{x2013}$ producing results of comparable accur…

gr-qc2022★ 110 cited

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Maximilian Dax, Stephen R. Green, Jonathan Gair +5

We combine amortized neural posterior estimation with importance sampling for fast and accurate gravitational-wave inference. We first generate a rapid proposal for the Bayesian po…