Mathew Madhavacheril

Exploring ML-based compression for rapid release of astronomical alerts

The Rubin Observatory will see millions of "transients" a night, but cannot release all of these to the wider astronomical community without heavily filtering them. We will explore recent advances in machine learning techniques that produce optimal compressions to address this problem.