70 citations · 156 across the 5 of their papers we have counts for
5 papers
AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers
Minyang Tian, E. A. Huerta, Huihuo Zheng
We introduce spatiotemporal-graph models that concurrently process data from the twin advanced LIGO detectors and the advanced Virgo detector. We trained these AI classifiers with…
Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers
Minyang Tian, E. A. Huerta, Huihuo Zheng +1
We present a new class of AI models for the detection of quasi-circular, spinning, non-precessing binary black hole mergers whose waveforms include the higher order gravitational w…
Inference-optimized AI and high performance computing for gravitational wave detection at scale
Pranshu Chaturvedi, Asad Khan, Minyang Tian +2
We introduce an ensemble of artificial intelligence models for gravitational wave detection that we trained in the Summit supercomputer using 32 nodes, equivalent to 192 NVIDIA V10…
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection
E. A. Huerta, Asad Khan, Xiaobo Huang +10
The development of reusable artificial intelligence (AI) models for wider use and rigorous validation by the community promises to unlock new opportunities in multi-messenger astro…
Deep Learning Ensemble for Real-time Gravitational Wave Detection of Spinning Binary Black Hole Mergers
Wei Wei, Asad Khan, E. A. Huerta +2
We introduce the use of deep learning ensembles for real-time, gravitational wave detection of spinning binary black hole mergers. This analysis consists of training independent ne…