Enabling real-time multi-messenger astrophysics discoveries with deep learning. - Eliu A. Huerta; Gabrielle Allen; Igor Andreoni; Javier Mauricio Antelis; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; et al. (CoRR, 2019)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

iDQ: Statistical inference of non-gaussian noise with auxiliary degrees of freedom in gravitational-wave detectors. - Reed Essick; Patrick Godwin; Chad Hanna; Lindy Blackburn; Erik Katsavounidis (Mach. Learn. Sci. Technol., 2021)

A Software Ecosystem for Deploying Deep Learning in Gravitational Wave Physics. - Alec Gunny; Dylan S. Rankin; Philip C. Harris; Erik Katsavounidis; Ethan Marx; Muhammed Saleem; Michael Coughlin; William Benoit (FlexScience@HPDC, 2022)

Physics Community Needs, Tools, and Resources for Machine Learning. - 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; et al. (CoRR, 2022)

Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings. - Deep Chatterjee; Philip C. Harris; Maanas Goel; Malina Desai; Michael W. Coughlin; Erik Katsavounidis (CoRR, 2023)

A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run. - Ryan Raikman; Eric A. Moreno; Katya Govorkova; Siddharth Soni; Ethan Marx; William Benoit; Alec Gunny; Deep Chatterjee; Christina Reissel; Malina Desai; Rafia Omer; Muhammed Saleem; et al. (CoRR, 2024)

Rapid likelihood free inference of compact binary coalescences using accelerated hardware. - 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; et al. (Mach. Learn. Sci. Technol., 2024)

GWAK: gravitational-wave anomalous knowledge with recurrent autoencoders. - 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; et al. (Mach. Learn. Sci. Technol., 2024)