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MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge


Sep 22, 2022
Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz, He Wang, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco, E. A. Huerta, Chris Messenger, Frank Ohme

* 25 pages, 6 figures, 4 tables, additional material available at https://github.com/gwastro/ml-mock-data-challenge-1 

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FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy


Jul 14, 2022
Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian Foster

* 10 pages, 3 figures. Comments welcome! 

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Applications of physics informed neural operators


Mar 23, 2022
Shawn G. Rosofsky, E. A. Huerta

* 15 pages, 10 figures 

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Interpreting a Machine Learning Model for Detecting Gravitational Waves


Feb 15, 2022
Mohammadtaher Safarzadeh, Asad Khan, E. A. Huerta, Martin Wattenberg

* 19 pages, to be submitted, comments are welcome. Movies based on this work can be accessed via: https://www.youtube.com/watch?v=SXFGMOtJwn0 https://www.youtube.com/watch?v=itVCj9gpmAs 

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Inference-optimized AI and high performance computing for gravitational wave detection at scale


Jan 26, 2022
Pranshu Chaturvedi, Asad Khan, Minyang Tian, E. A. Huerta, Huihuo Zheng

* 19 pages, 8 figure 

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AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers


Dec 13, 2021
Asad Khan, E. A. Huerta

* 21 pages, 12 figures 

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Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers


Oct 13, 2021
Asad Khan, E. A. Huerta, Huihuo Zheng

* 17 pages, 7 figures, 1 appendix 

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A FAIR and AI-ready Higgs Boson Decay Dataset


Aug 04, 2021
Yifan Chen, E. A. Huerta, Javier Duarte, Philip Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack

* 14 pages, 3 figures. Learn about the FAIR4HEP project at https://fair4hep.github.io 

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Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources


May 13, 2021
E. A. Huerta, Zhizhen Zhao

* 30 pages, 11 figures. Invited chapter to be published in "Handbook of Gravitational Wave Astronomy" 

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