Surrogate model

Deep learning surrogate model of gravitational waves

Deep learning algorithms have the potential to dramatically improve predictive models of chirp like gravitational waves.

Frequency-domain reduced-order model of aligned-spin effective-one-body waveforms with higher-order modes

Enhancing Gravitational-Wave Science with Machine Learning

Regression methods in waveform modeling: a comparative study

Surrogate model for an aligned-spin effective-one-body waveform model of binary neutron star inspirals using Gaussian process regression

Surrogate models of gravitational waves

Accelerating semi-analytic models of gravitational waves.

Accelerating parameter estimation of gravitational waves from black hole binaries with reduced order quadratures

Can we measure individual black-hole spins from gravitational-wave observations?

Improved effective-one-body model of spinning, nonprecessing binary black holes for the era of gravitational-wave astrophysics with advanced detectors

Fast and accurate inference on gravitational waves from precessing compact binaries