Scientific Machine Learning for Gravitational Wave Astronomy, June 2-6, 2025 in Providence, Rhode Island
Scientific Machine Learning for Gravitational Wave Astronomy, June 2-6, 2025 in Providence, Rhode Island
The aim of this workshop is to bring together participants from computational mathematics and gravitational wave astronomy to tackle computational challenges in leveraging data-driven methods in key areas of gravitational wave data analysis in order to maximize the science output of the ongoing and upcoming observations. The areas of focus will be: (i) noise classification and detection, (ii) waveform modeling and uncertainty quantification, and (iii) source parameter and astrophysical population Bayesian inference.