Scialpi, Matteo https://orcid.org/0009-0007-6434-1460
Di Clemente, Francesco https://orcid.org/0000-0002-8257-3819
Smith, Leigh https://orcid.org/0000-0002-3035-0947
Bejger, Michał https://orcid.org/0000-0002-4991-8213
Funding for this research was provided by:
National Aeronautics and Space Administration (Award 80NSSC24K0767)
European Union-Next Generation EU (1 CUP J53D23001550006)
ICSC -Centro Nazionale di Ricerca in High Performance Computing
Polish National Science Center OPUS (2021/43/B/ST9/01714)
Article Title: APRIL: auxiliary physically-redundant information in loss—a physics-informed framework for parameter estimation with a gravitational-wave case study
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2026 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2025-10-17
Date Accepted: 2026-02-05
Online publication date: 2026-02-23