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

26 January 2022

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

7 / 7 papers shown

Title
FAIR for AI: An interdisciplinary and international community building perspective Eliu A. Huerta Ben Blaiszik L. C. Brinson Kristofer E Bouchard Daniel Madrigal Diaz ... F. Psomopoulos Avik Roy Oliver Rübel Zhizhen Zhao Ruike Zhu 35 41 0 30 Sep 2022
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge Marlin B. Schäfer O. Zelenka A. Nitz He Wang Shichao Wu ... Bernd Brügmann E. Cuoco Eliu A. Huerta C. Messenger F. Ohme 16 26 0 22 Sep 2022
DeepSNR: A deep learning foundation for offline gravitational wave detection Michael Andrews M. Paulini Luke Sellers Alexey Bobrick Gianni Martire Haydn Vestal OffRL 14 6 0 11 Jul 2022
Applications of physics informed neural operators S. Rosofsky Hani Al Majed Eliu A. Huerta PINN AI4CE 25 39 0 23 Mar 2022
Interpreting a Machine Learning Model for Detecting Gravitational Waves M. Safarzadeh Asad Khan Eliu A. Huerta Martin Wattenberg 35 2 0 15 Feb 2022
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 Asad Khan E. A. H. abd Prayush Kumar 21 6 0 13 Dec 2021
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure Eliu A. Huerta Asad Khan Edward Davis Colleen Bushell W. Gropp ... S. Koric William T. C. Kramer Brendan McGinty Kenton McHenry Aaron Saxton AI4CE 36 44 0 18 Mar 2020