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20222025
most citedBayesian evidence estimation from posterior samples with normalizing flows

13 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

gr-qc2025★ 3 cited

Search for Gravitational Wave Memory in PPTA and EPTA Data: A Complete Signal Model

Sharon Mary Tomson, Boris Goncharov, Rutger van Haasteren +21

We perform searches for gravitational wave memory in the data of two major Pulsar Timing Array (PTA) experiments located in Europe and Australia. Supermassive black hole binaries (…

astro-ph.GA2025★ 5 cited

Simulation-based population inference of LISA's Galactic binaries: Bypassing the global fit

Rahul Srinivasan, Enrico Barausse, Natalia Korsakova +1

The Laser Interferometer Space Antenna (LISA) is expected to detect thousands of individually resolved gravitational wave sources, overlapping in time and frequency, on top of unre…

gr-qc2024

Rapid detection of gravitational waves from binary black hole mergers using sparse dictionary learning

Charles Badger, Rahul Srinivasan, Alejandro Torres-Forné +4

Current gravitational wave (GW) detection pipelines for compact binary coalescence based on matched-filtering have reported over 90 confident detections during the first three obse…

stat.ML2024★ 13 cited

Bayesian evidence estimation from posterior samples with normalizing flows

Rahul Srinivasan, Marco Crisostomi, Roberto Trotta +2

We propose a novel method (), based on normalizing flows, to estimate the Bayesian evidence (and its numerical uncertainty) from a pre-existing set of samples drawn from the…

gr-qc2022

Inferring binary black holes stellar progenitors with gravitational wave sources

Simone Mastrogiovanni, Astrid Lamberts, Rahul Srinivasan +2

With its last observing run, the LIGO, Virgo, and KAGRA collaboration has detected almost one hundred gravitational waves from compact binary coalescences. A common approach to stu…