Biblio

Found 4 results
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2023
R. Raikman, Moreno, E., and , “GWAK: Gravitational-Wave Anomalous Knowledge with Recurrent Autoencoders”, 2023.
2022
A. McCarn Deiana, Tran, N., Agar, J., Blott, M., Di Guglielmo, G., Duarte, J., Harris, P., Hauck, S., Liu, M., Neubauer, M. S., and , “Applications and techniques for fast machine learning in science”, Frontiers in big Data, vol. 5, p. 787421, 2022.
A. Apyan, Batell, B., Berlin, A., Blinov, N., Chaharom, C., Cuadra, S., Demiragli, Z., Duran, A., Feng, Y., Fernando, I. P., and , “DarkQuest: A dark sector upgrade to SpinQuest at the 120 GeV Fermilab Main Injector”, arXiv preprint arXiv:2203.08322, 2022.
2021
Z. Que, Wang, E., Marikar, U., Moreno, E., Ngadiuba, J., Javed, H., Borzyszkowski, B., Aarrestad, T., Loncar, V., Summers, S., and , “Accelerating recurrent neural networks for gravitational wave experiments”, in 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2021.