| Paper ID | SiG-DML_P2.1 | ||
| Paper Title | FAST AND ACCURATE GRAVITATIONAL-WAVE MODELLING WITH PRINCIPAL COMPONENT REGRESSION | ||
| Authors | Cyril Cano, Nicolas Le Bihan, Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-Lab, F-38000 Grenoble, France, France; Éric Chassande-Mottin, Université de Paris, CNRS, Astroparticule et Cosmologie, F-75006 Paris, France, France | ||
| Session | SiG-DML_P2: Applications of Machine Learning | ||
| Location | Poster Area 2 | ||
| Session Time | Wednesday, 31 August, 14:00 - 15:40 | ||
| Topic | SiG-DML - Signal and Data Analytics for Machine Learning | ||