Work Group 1 (WG1) aims at investigating Machine Learning (ML) techniques in gravitational wave (GW) astronomy applications: classify GW signals, recognise noise and disturbances from the instrument, as well as identify GW signals from known mechanisms and GW signals from yet unknown mechanisms.
More specifically, the goal is to design problem-specific ML pipelines by considering ready-to-use algorithms for solving classical ML tasks (clustering, classification and regression), specific data structures for the development of novel ML algorithms, as well as specific frameworks for the development of GPU-based ML solutions.
Link for remote connection to the meeting:
https://eu.bbcollab.com/guest/b337209725e24616a07c741c95b7de5d
WG1 members group photo (12 Apr 2022)
