Biblio

Found 13 results
2024
E. Marx, Benoit, W., Gunny, A., Omer, R., Chatterjee, D., Venterea, R. C., Wills, L., Saleem, M., Moreno, E., Raikman, R., Govorkova, E., Rankin, D., Coughlin, M. W., Harris, P., and Katsavounidis, E., “A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences”. 2024.
D. Chatterjee, Marx, E., Benoit, W., Kumar, R., Desai, M., Govorkova, E., Gunny, A., Moreno, E., Omer, R., Raikman, R., Saleem, M., Aggarwal, S., Coughlin, M. W., Harris, P., and Katsavounidis, E., “Rapid likelihood free inference of compact binary coalescences using accelerated hardware”, Machine Learning: Science and Technology, vol. 5, p. 045030, 2024.
Z. Jiang, Yin, D., Khoda, E. E., Loncar, V., Govorkova, E., Moreno, E., Harris, P., Hauck, S., and Hsu, S. - C., “Ultra Fast Transformers on FPGAs for Particle Physics Experiments”. 2024.
2023
M. Agarwal, Alameda, J., Audenaert, J., Benoit, W., Beveridge, D., Bhattacharya, M., Chatterjee, C., Chatterjee, D., Chen, A., Cholayil, M. Saleem, Chou, C. - J., Choudhary, S., Coughlin, M., Dax, M., Desai, A., Di Luca, A., Duarte, J. Mauricio, Farrell, S., Feng, Y., Goodarzi, P., Govorkova, E., Graham, M., Guiang, J., Gunny, A., Guo, W., Hakenmueller, J., Hawks, B., Hsu, S. - C., Jawahar, P., Ju, X., Katsavounidis, E., Kellis, M., Khoda, E. E., Lahbabi, F. Zahra, Lian, V. Tha Bik, Liu, M., Malanchev, K., Marx, E., McCormack, W. Patrick, McLeod, A., Mo, G., Moreno, E. Anton, Muthukrishna, D., Narayan, G., Naylor, A., Neubauer, M., Norman, M., Omer, R., Pedro, K., Peterson, J., Pürrer, M., Raikman, R., Raj, S., Ricker, G., Robbins, J., Samani, B. Safarzadeh, Scholberg, K., Schuy, A., Skliris, V., Soni, S., Sravan, N., Sutton, P., Villar, V. Ashley, Wang, X., Wen, L., Wuerthwein, F., Yang, T., and Yeh, S. - W., “Applications of Deep Learning to physics workflows”, arXiv e-prints, p. arXiv:2306.08106, 2023.
M. Saleem, Gunny, A., Chou, C. - J., Yang, L. - C., Yeh, S. - W., Chen, A. H.  Y., Magee, R., Benoit, W., Nguyen, T., Fan, P., Chatterjee, D., Marx, E., Moreno, E., Omer, R., Raikman, R., Rankin, D., Sharma, R., Coughlin, M., Harris, P., and Katsavounidis, E., “Demonstration of Machine Learning-assisted real-time noise regression in gravitational wave detectors”, arXiv e-prints, p. arXiv:2306.11366, 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.
E. A. Moreno, Borzyszkowski, B., Pierini, M., Vlimant, J. - R., and Spiropulu, M., “Source-agnostic gravitational-wave detection with recurrent autoencoders”, Machine Learning: Science and Technology, vol. 3, p. 025001, 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.
2020
C. M. S. Collaboration, “Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques”, Journal of Instrumentation, vol. 15, p. P06005, 2020.
E. A. Moreno, Nguyen, T. Q., Vlimant, J. - R., Cerri, O., Newman, H. B., Periwal, A., Spiropulu, M., Duarte, J. M., and Pierini, M., “Interaction networks for the identification of boosted H→bb decays”, Physical Review D, vol. 102, p. 012010, 2020.
E. A. Moreno, Cerri, O., Duarte, J. M., Newman, H. B., Nguyen, T. Q., Periwal, A., Pierini, M., Serikova, A., Spiropulu, M., and Vlimant, J. - R., “JEDI-net: a jet identification algorithm based on interaction networks”, The European Physical Journal C, vol. 80, pp. 1–15, 2020.