Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for E. A. Huerta

Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection


Dec 15, 2020
E. A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr Kindratenko, Dawei Mu, Ben Blaiszik, Ian Foster

* 17 pages, 5 figures 

  Access Paper or Ask Questions

Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers


Apr 20, 2020
Asad Khan, E. A. Huerta, Arnav Das

* 21 pages, 10 figures, 1 appendix, 1 Interactive visualization at https://khanx169.github.io/smr_bbm_v2/interactive_results.html 

  Access Paper or Ask Questions

Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure


Mar 18, 2020
E. A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton

* White paper accepted to the NSF Workshop on Smart Cyberinfrastructure, February 25-27, 2020 http://smartci.sci.utah.edu/ 

  Access Paper or Ask Questions

Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms


Dec 16, 2019
Arjun Gupta, E. A. Huerta, Zhizhen Zhao, Issam Moussa

* 8 pages, 2 figures, 9 tables 

  Access Paper or Ask Questions

Enabling real-time multi-messenger astrophysics discoveries with deep learning


Nov 26, 2019
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier M. Antelis, Etienne Bachelet, Bruce Berriman, Federica Bianco, Rahul Biswas, Matias Carrasco, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Robert Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Marka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

* Nature Reviews Physics volume 1, pages 600-608 (2019) 
* Invited Expert Recommendation for Nature Reviews Physics. The art work produced by E. A. Huerta and Shawn Rosofsky for this article was used by Carl Conway to design the cover of the October 2019 issue of Nature Reviews Physics 

  Access Paper or Ask Questions

Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders


Mar 06, 2019
Hongyu Shen, Daniel George, E. A. Huerta, Zhizhen Zhao

* 5 pages, 11 figures and 3 tables, accepted to ICASSP 2019 

  Access Paper or Ask Questions

Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers


Mar 05, 2019
Hongyu Shen, E. A. Huerta, Zhizhen Zhao

* 8 pages, 4 figures and 4 tables 

  Access Paper or Ask Questions

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era


Feb 01, 2019
Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, M. S. Neubauer, Steve Oberlin, Alexander R. Olivas Jr, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

* 15 pages, no figures. White paper based on the "Deep Learning for Multi-Messenger Astrophysics: Real-time Discovery at Scale" workshop, hosted at NCSA, October 17-19, 2018 http://www.ncsa.illinois.edu/Conferences/DeepLearningLSST/ 

  Access Paper or Ask Questions

Unsupervised learning and data clustering for the construction of Galaxy Catalogs in the Dark Energy Survey


Dec 05, 2018
Asad Khan, E. A. Huerta, Sibo Wang, Robert Gruendl

* 9 pages, 8 Figures, 3 appendices, 1 visualization 

  Access Paper or Ask Questions

Real-time regression analysis with deep convolutional neural networks


May 07, 2018
E. A. Huerta, Daniel George, Zhizhen Zhao, Gabrielle Allen

* 3 pages. Position Paper accepted to SciML2018: DOE ASCR Workshop on Scientific Machine Learning. North Bethesda, MD, United States, January 30-February 1, 2018 

  Access Paper or Ask Questions

Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with LIGO Data


Dec 11, 2017
Daniel George, E. A. Huerta

* Camera-ready (final) version accepted to NIPS 2017 conference workshop on Deep Learning for Physical Sciences and selected for contributed talk. Also awarded 1st place at ACM SRC at SC17. Extended article: arXiv:1711.03121 

  Access Paper or Ask Questions

Glitch Classification and Clustering for LIGO with Deep Transfer Learning


Dec 11, 2017
Daniel George, Hongyu Shen, E. A. Huerta

* Phys. Rev. D 97, 101501 (2018) 
* Camera-ready (final) paper accepted to NIPS 2017 conference workshop on Deep Learning for Physical Sciences. Extended article: arXiv:1706.07446 

  Access Paper or Ask Questions

Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders


Nov 27, 2017
Hongyu Shen, Daniel George, E. A. Huerta, Zhizhen Zhao

* 5 pages, 2 figures 

  Access Paper or Ask Questions

Deep Neural Networks to Enable Real-time Multimessenger Astrophysics


Nov 09, 2017
Daniel George, E. A. Huerta

* Phys. Rev. D 97, 044039 (2018) 
* v3: Added results submitted to PRD on October 18, 2017; incorporated suggestions from the community 

  Access Paper or Ask Questions

Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data


Nov 08, 2017
Daniel George, E. A. Huerta

* Physics Letters B, 778 (2018) 64-70 
* 6 pages, 7 figures; First application of deep learning to real LIGO events; Includes direct comparison against matched-filtering 

  Access Paper or Ask Questions

Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO


Jun 22, 2017
Daniel George, Hongyu Shen, E. A. Huerta


  Access Paper or Ask Questions