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Found 3 papers, 1 papers with code
A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm
This algorithm can be used to improve the efficiency of vetting signals of interest in technosignature searches, but could also be applied to a wider variety of searches for "lookalike" signals in large astronomical datasets.
A Deep Learning Technique to Control the Non-linear Dynamics of a Gravitational-wave Interferometer
In this work we developed a deep learning technique that successfully solves a non-linear dynamic control problem.
A deep-learning search for technosignatures of 820 nearby stars
The goal of the Search for Extraterrestrial Intelligence (SETI) is to quantify the prevalence of technological life beyond Earth via their "technosignatures".
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