Constraining the Parameters of High-Dimensional Models with Active Learning. - Sascha Caron; Tom Heskes; Sydney Otten; Bob Stienen (CoRR, 2019)

Deep-learning enhancement of large scale numerical simulations. - Caspar van Leeuwen; Damian Podareanu; Valeriu Codreanu; Maxwell X. Cai; Axel Berg; Simon Portegies Zwart; Robin Stoffer; Menno Veerman; Chiel van Heerwaarden; Sydney Otten; Sascha Caron; Cunliang Geng; et al. (CoRR, 2020)

Inferring astrophysical X-ray polarization with deep learning. - Nikita Moriakov; Ashwin Samudre; Michela Negro; Fabian Gieseke; Sydney Otten; Luc Hendriks (CoRR, 2020)

Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models. - Kristian Gonzalez Barman; Sascha Caron; Emily Sullivan; Henk W. de Regt; Roberto Ruiz de Austri; Mieke Boon; Michael Färber 001; Stefan Fröse; Faegheh Hasibi; Andreas Ipp; Rukshak Kapoor; Gregor Kasieczka; et al. (CoRR, 2025)