Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. - Brian Nord; Andrew J. Connolly; Jamie Kinney; Jeremy Kubica; Gautaum Narayan; Joshua E. G. Peek; Chad Schafer; Erik J. Tollerud; Camille Avestruz; Gutti Jogesh Babu; Simon Birrer; Douglas Burke; et al. (CoRR, 2019)

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. - Daniela Huppenkothen; Michelle Ntampaka; M. Ho; M. Fouesneau; Brian Nord; Joshua E. G. Peek; Mike Walmsley; John F. Wu; Camille Avestruz; T. Buck; M. Brescia; D. P. Finkbeiner; et al. (CoRR, 2023)

Designing an Evaluation Framework for Large Language Models in Astronomy Research. - John F. Wu; Alina Hyk; Kiera McCormick; Christine Ye; Simone Astarita; Elina Baral; Jo Ciuca; Jesse Cranney; Anjalie Field; Kartheik Iyer; Philipp Koehn; Jenn Kotler; et al. (CoRR, 2024)

Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling. - Alan Hsu; Matthew Ho; Joyce Lin; Carleen Markey; Michelle Ntampaka; Hy Trac; Barnabás Póczos (CoRR, 2024)