79 citations · 1.1k across the 61 of their papers we have counts for
4 papers · 1 filter
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…
Convolutional Neural Networks for the classification of glitches in gravitational-wave data streams
Tiago S. Fernandes, Samuel J. Vieira, Antonio Onofre +3
We investigate the use of Convolutional Neural Networks (including the modern ConvNeXt network family) to classify transient noise signals (i.e.~glitches) and gravitational waves i…
Generating gravitational waveform libraries of exotic compact binaries with deep learning
Felipe F. Freitas, Carlos A. R. Herdeiro, António P. Morais +5
Current gravitational wave (GW) detections rely on the existence of libraries of theoretical waveforms. Consequently, finding new physics with GWs requires libraries of non-standar…
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…