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Michael Coughlin
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2020 – today
- 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) - [i4]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) - 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
- [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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
Coauthor Index
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last updated on 2024-08-25 20:06 CEST by the dblp team
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