276 citations · 2.5k across the 39 of their papers we have counts for
Showing 2018Show all
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astro-ph.IM2018★ 94 cited
Reduced-order modeling with artificial neurons for gravitational-wave inference
Alvin J. K. Chua, Chad R. Galley, Michele Vallisneri
Gravitational-wave data analysis is rapidly absorbing techniques from deep learning, with a focus on convolutional networks and related methods that treat noisy time series as imag…
gr-qc2018★ 43 cited
Constraining the parameters of GW150914 & GW170104 with numerical relativity surrogates
Prayush Kumar, Jonathan Blackman, Scott E. Field +7
Gravitational-wave detectors have begun to observe coalescences of heavy black holes at a consistent pace for the past few years. Accurate models of gravitational waveforms are ess…