21 citations · 36 across the 7 of their papers we have counts for
3 papers · 1 filter
A Deep Learning Powered Numerical Relativity Surrogate for Binary Black Hole Waveforms
Osvaldo Gramaxo Freitas, Anastasios Theodoropoulos, Nino Villanueva +6
Gravitational-wave approximants are essential for gravitational-wave astronomy, allowing the coverage binary black hole parameter space for inference or match filtering without cos…
Comparison of neural network architectures for feature extraction from binary black hole merger waveforms
Osvaldo Gramaxo Freitas, Juan Calderón Bustillo, José A. Font +3
We evaluate several neural-network architectures, both convolutional and recurrent, for gravitational-wave time-series feature extraction by performing point parameter estimation o…
Exploring gravitational-wave detection and parameter inference using Deep Learning methods
João D. Álvares, José A. Font, Felipe F. Freitas +5
We explore machine learning methods to detect gravitational waves (GW) from binary black hole (BBH) mergers using deep learning (DL) algorithms. The DL networks are trained with gr…