4 citations · 4 across the 2 of their papers we have counts for
3 papers
Learned proposals in trans-dimensional inference are optimal at equilibrium, not during assembly
Argyro Sasli, Nikolaos Karnesis, Minas Karamanis +5
Inferring the dimension of a model - the number of components needed to explain data - jointly with the parameters is a pervasive problem, from counting sources in an image to mixt…
An efficient GPU-accelerated multi-source global fit pipeline for LISA data analysis
Michael L. Katz, Nikolaos Karnesis, Natalia Korsakova +2
The large-scale analysis task of deciphering gravitational wave signals in the LISA data stream will be difficult, requiring a large amount of computational resources and extensive…
Neural density estimation for Galactic Binaries in LISA data analysis
Natalia Korsakova, Stanislav Babak, Michael L. Katz +3
The future space based gravitational wave detector LISA (Laser Interferometer Space Antenna) will observe millions of Galactic binaries constantly present in the data stream. A sma…