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Michael Coughlin
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Journal Articles
- 2024
- [j2]Ryan Raikman, Eric A. Moreno, Ekaterina Govorkova, Ethan Marx, Alec Gunny, William Benoit, Deep Chatterjee, Rafia Omer, Muhammed Saleem, Dylan S. Rankin, Michael W. Coughlin, Philip C. Harris, Erik Katsavounidis:
GWAK: gravitational-wave anomalous knowledge with recurrent autoencoders. Mach. Learn. Sci. Technol. 5(2): 25020 (2024) - 2021
- [j1]Elena Cuoco, Jade Powell, Marco Cavaglià, Kendall Ackley, Michal Bejger, Chayan Chatterjee, Michael Coughlin, Scott Coughlin, Paul Easter, Reed Essick, Hunter Gabbard, Timothy Gebhard, Shaon Ghosh, Leïla Haegel, Alberto Iess, David Keitel, Zsuzsa Márka, Szabolcs Márka, Filip Morawski, Tri Nguyen, Rich Ormiston, Michael Pürrer, Massimiliano Razzano, Kai Staats, Gabriele Vajente, Daniel Williams:
Enhancing gravitational-wave science with machine learning. Mach. Learn. Sci. Technol. 2(1): 11002 (2021)
Conference and Workshop Papers
- 2022
- [c6]Alec Gunny, Dylan S. Rankin, Philip C. Harris, Erik Katsavounidis, Ethan Marx, Muhammed Saleem, Michael Coughlin, William Benoit:
A Software Ecosystem for Deploying Deep Learning in Gravitational Wave Physics. FlexScience@HPDC 2022: 9-17 - 2021
- [c5]Niharika Sravan, Matthew J. Graham, Christoffer Fremling, Michael W. Coughlin:
Autonomous Real-Time Science-Driven Follow-up of Survey Transients. BDA (Astronomy, Science, and Engineering) 2021: 59-72 - 2017
- [c4]Michael Coughlin, Eric Keller, Eric Wustrow:
Trusted Click: Overcoming Security issues of NFV in the Cloud. SDN-NFV@CODASPY 2017: 31-36 - [c3]Michael Coughlin, Kelly Kaoudis, Eric Keller:
Augmenting cloud architectures to support decentralized applications. IM 2017: 544-547 - 2016
- [c2]Michael Coughlin, Ali Ismail, Eric Keller:
Apps with Hardware: Enabling Run-time Architectural Customization in Smart Phones. USENIX ATC 2016: 621-634 - 2014
- [c1]Oliver Michel, Michael Coughlin, Eric Keller:
Extending the software-defined network boundary. SIGCOMM 2014: 381-382
Informal and Other Publications
- 2024
- [i6]Deep Chatterjee, Ethan Marx, William Benoit, Ravi Kumar, Malina Desai, Ekaterina Govorkova, Alec Gunny, Eric A. Moreno, Rafia Omer, Ryan Raikman, Muhammed Saleem, Shrey Aggarwal, Michael W. Coughlin, Philip C. Harris, Erik Katsavounidis:
Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware. CoRR abs/2407.19048 (2024) - [i5]Bryce T. Bolin, Michael W. Coughlin:
Identification and Localization of Cometary Activity in Solar System Objects with Machine Learning. CoRR abs/2409.15261 (2024) - [i4]Bryce T. Bolin, Frank J. Masci, Michael W. Coughlin, Dmitry A. Duev, Z. Ivezic, R. L. Jones, P. Yoachim, T. Ahumada, V. Bhalerao, H. Choudhary, C. Contreras, Y.-C. Cheng, C. M. Copperwheat, K. Deshmukh, C. Fremling, M. Granvik, K. K. Hardegree-Ullman, A. Y. Q. Ho, R. Jedicke, M. Kasliwal, H. Kumar, Z.-Y. Lin, A. Mahabal, A. Monson, J. D. Neill, D. Nesvorný, D. A. Perley, J. N. Purdum, R. Quimby, E. Serabyn, K. Sharma, V. Swain:
The Palomar twilight survey of 'Ayló'chaxnim, Atiras, and comets. CoRR abs/2409.15263 (2024) - 2023
- [i3]Deep Chatterjee, Philip C. Harris, Maanas Goel, Malina Desai, Michael W. Coughlin, Erik Katsavounidis:
Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings. CoRR abs/2312.07615 (2023) - 2022
- [i2]Philip C. Harris, Erik Katsavounidis, William Patrick McCormack, Dylan S. Rankin, Yongbin Feng, Abhijith Gandrakota, Christian Herwig, Burt Holzman, Kevin Pedro, Nhan Tran, Tingjun Yang, Jennifer Ngadiuba, Michael Coughlin, Scott Hauck, Shih-Chieh Hsu, Elham E Khoda, Deming Chen, Mark S. Neubauer, Javier M. Duarte, Georgia Karagiorgi, Mia Liu:
Physics Community Needs, Tools, and Resources for Machine Learning. CoRR abs/2203.16255 (2022) - 2021
- [i1]Dmitry A. Duev, Bryce T. Bolin, Matthew J. Graham, Michael S. P. Kelley, Ashish Mahabal, Eric C. Bellm, Michael W. Coughlin, Richard Dekany, George Helou, Shrinivas R. Kulkarni, Frank J. Masci, Thomas A. Prince, Reed Riddle, Maayane T. Soumagnac, Stefan Johann van der Walt:
Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning. CoRR abs/2102.13352 (2021)
Coauthor Index
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