A collection of articles on applications of machine learning techniques in gravitational-wave research.

While the Living Review "Applications of machine learning in gravitational-wave research with current interferometric detectors" (27 February 2025) serves as a general introduction to the topic, we encourage authors to submit their work on specific applications of machine learning methods, neural networks, and deep learning techniques in GW data analysis, including noise reduction and mitigation, signal detection, parameter estimation, classification and interpretation of astrophysical sources to the journal General Relativity and Gravitation.

Based on contributions from the Jerzy Lewandowski Memorial Conference, held from September 15–19, 2025, at the Banach Center in Warsaw, this collection of peer-reviewed articles intends to include review papers as well as original research honoring his memory and continue scientific discussions in the areas that were central to his research passion.

All speakers, as well as selected poster presenters, are invited to submit their papers for peer review to the journal General Relativity and Gravitation. Publication under the subscription model is free of charge, open-access is offered for a fee or under the terms of Springer's institutional agreements.