Pix2Prof: fast extraction of sequential information from galaxy imagery via deep learning. - Michael J. Smith 013; Nikhil Arora; Connor Stone; Stéphane Courteau; James E. Geach (CoRR, 2020)

Realistic galaxy image simulation via score-based generative models. - Michael J. Smith 013; James E. Geach; Ryan A. Jackson; Nikhil Arora; Connor Stone; Stéphane Courteau (CoRR, 2021)

Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy. - Michael J. Smith 013; James E. Geach (CoRR, 2022)

EarthPT: a foundation model for Earth Observation. - Michael J. Smith 013; Luke Fleming; James E. Geach (CoRR, 2023)

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data. - Eirini Angeloudi; Jeroen Audenaert; Micah Bowles; Benjamin M. Boyd; David Chemaly; Brian Cherinka; Ioana Ciuca; Miles D. Cranmer; Aaron Do; Matthew Grayling; Erin E. Hayes; Tom Hehir; et al. (NeurIPS, 2024)

AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. - Ernest Perkowski; Rui Pan 002; Tuan Dung Nguyen; Yuan-Sen Ting; Sandor Kruk; Tong Zhang 001; Charlie O'Neill; Maja Jablonska; Zechang Sun; Michael J. Smith 013; Huiling Liu; Kevin Schawinski; et al. (CoRR, 2024)

AstroPT: Scaling Large Observation Models for Astronomy. - Michael J. Smith 013; Ryan J. Roberts; Eirini Angeloudi; Marc Huertas-Company (CoRR, 2024)

pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. - Kartheik Iyer; Mikaeel Yunus; Charles O'Neill; Christine Ye; Alina Hyk; Kiera McCormick; Ioana Ciuca; John F. Wu; Alberto Accomazzi; Simone Astarita; Rishabh Chakrabarty; Jesse Cranney; et al. (CoRR, 2024)

Towards more efficient agricultural practices via transformer-based crop type classification. - E. Ulises Moya-Sánchez; Yazid S. Mikail; Daisy Nyang'anyi; Michael J. Smith 013; Isabella Smythe (CoRR, 2024)

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models. - Atilla Kaan Alkan; Shashwat Sourav; Maja Jablonska; Simone Astarita; Rishabh Chakrabarty; Nikhil Garuda; Pranav Khetarpal; Maciej Pióro; Dimitrios Tanoglidis; Kartheik Iyer; Mugdha Polimera; Michael J. Smith 013; et al. (CoRR, 2025)

AstroLLaVA: towards the unification of astronomical data and natural language. - Sharaf Zaman; Michael J. Smith 013; Pranav Khetarpal; Rishabh Chakrabarty; Michele Ginolfi; Marc Huertas-Company; Maja Jablonska; Sandor Kruk; Matthieu Le Lain; Sergio J. Rodríguez Méndez; Dimitrios Tanoglidis (CoRR, 2025)

Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space. - Michael J. Smith 013; Luke Fleming; James E. Geach; Ryan J. Roberts; Freddie Kalaitzis; James Banister (CoRR, 2025)