Dataset Groups Activity Stream Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders A dataset of synthetic data generated for gravitational wave detection, consisting of 400,000 noise samples and 64,000 signal samples. BibTex: @dataset{Eric_A_Moreno_and_Bartlomiej_Borzyszkowski_and_Maurizio_Pierini_and_Jean-Roch_Vlimant_and_Maria_Spiropulu_2024, abstract = {A dataset of synthetic data generated for gravitational wave detection, consisting of 400,000 noise samples and 64,000 signal samples.}, author = {Eric A. Moreno and Bartlomiej Borzyszkowski and Maurizio Pierini and Jean-Roch Vlimant and Maria Spiropulu}, doi = {10.57702/2ikxka1l}, institution = {No Organization}, keyword = {'Anomaly Detection', 'Gravitational Waves', 'Recurrent Autoencoders'}, month = {dec}, publisher = {TIB}, title = {Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders}, url = {https://service.tib.eu/ldmservice/dataset/source-agnostic-gravitational-wave-detection-with-recurrent-autoencoders}, year = {2024} }
