170 citations · 277 across the 7 of their papers we have counts for
Showing 2020Show all
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astro-ph.HE2020★ 61 cited
Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters
Filip Morawski, Michał Bejger
Aims: The aim of this work is to study the application of the artificial neural networks guided by the autoencoder architecture as a method for precise reconstruction of the neutro…
astro-ph.HE2020★ 170 cited
Enhancing Gravitational-Wave Science with Machine Learning
Elena Cuoco, Jade Powell, Marco Cavaglià +23
Machine learning has emerged as a popular and powerful approach for solving problems in astrophysics. We review applications of machine learning techniques for the analysis of grou…
gr-qc2020★ 2 cited
Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification
Alberto Iess, Elena Cuoco, Filip Morawski +1
We describe a search and classification procedure for gravitational waves emitted by core-collapse supernova (CCSN) explosions, using a convolutional neural network (CNN) combined…