The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. - Francisco Villaescusa-Navarro; Shy Genel; Daniel Angles-Alcazar; Leander Thiele; Romeel Dave; Desika Narayanan; Andrina Nicola; Yin Li 009; Pablo Villanueva-Domingo; Benjamin D. Wandelt; David N. Spergel; Rachel S. Somerville; et al. (CoRR, 2021)

The CAMELS project: public data release. - Francisco Villaescusa-Navarro; Shy Genel; Daniel Anglés-Alcázar; Lucia A. Perez; Pablo Villanueva-Domingo; Digvijay Wadekar; Helen Shao; Faizan G. Mohammad; Sultan Hassan; Emily Moser; Erwin T. Lau; Luis Fernando Machado Poletti Valle; et al. (CoRR, 2022)

Automated discovery of interpretable gravitational-wave population models. - Kaze W. K. Wong; Miles D. Cranmer (CoRR, 2022)

GeometricImageNet: Extending convolutional neural networks to vector and tensor images. - Wilson Gregory; David W. Hogg; Ben Blum-Smith; Maria Teresa Arias; Kaze W. K. Wong; Soledad Villar (CoRR, 2023)

flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX. - Kaze W. K. Wong; Marylou Gabrié; Daniel Foreman-Mackey (J. Open Source Softw., 2023)

Super-Resolution without High-Resolution Labels for Black Hole Simulations. - Thomas Helfer; Thomas D. P. Edwards; Jessica Dafflon; Kaze W. K. Wong; Matthew Lyle Olson (CoRR, 2024)