42 citations · 68 across the 7 of their papers we have counts for
3 papers · 1 filter
Pre-Merger Detection and Characterization of Inspiraling Binary Neutron Stars Derived from Neural Posterior Estimation
Wouter van Straalen, Alex Kolmus, Justin Janquart +1
As the sensitivity of the international gravitational wave detector network increases, observing binary neutron star signals will become more common. Moreover, since these signals…
Normalizing flows as an avenue to study overlapping gravitational wave signals
Jurriaan Langendorff, Alex Kolmus, Justin Janquart +1
Due to its speed after training, machine learning is often envisaged as a solution to a manifold of the issues faced in gravitational-wave astronomy. Demonstrations have been given…
Swift sky localization of gravitational waves using deep learning seeded importance sampling
Alex Kolmus, Grégory Baltus, Justin Janquart +3
Fast, highly accurate, and reliable inference of the sky origin of gravitational waves would enable real-time multi-messenger astronomy. Current Bayesian inference methodologies, a…