cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation. - Tom Dooney; R. Lyana Curier; Daniel Stanley Tan; Melissa Lopez; Chris Van Den Broeck; Stefano Bromuri (CoRR, 2024)

Improving early detection of gravitational waves from binary neutron stars using CNNs and FPGAs. - Ana Martins; Melissa Lopez; Gregory Baltus; Quirijn Meijer; Marc van der Sluys; Chris Van Den Broeck; Sarah Caudill (Mach. Learn. Sci. Technol., 2025)

DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning. - Tom Dooney; Harsh Narola; Stefano Bromuri; R. Lyana Curier; Chris Van Den Broeck; Sarah Caudill; Daniel Stanley Tan (CoRR, 2025)