Morphology and Interaction of Galaxies using Deep Learning. - Fernando Caro; Marc Huertas-Company; Guillermo F. Cabrera (Astroinformatics, 2016)

Deep learning for studies of galaxy morphology. - Diego Tuccillo; Marc Huertas-Company; Etienne Decencière; Santiago Velasco-Forero (Astroinformatics, 2016)

Galaxy Morphology in the deep learning era. - Marc Huertas-Company (CBMI, 2021)

A Deep Learning Approach for Characterizing Major Galaxy Mergers. - Skanda Koppula; Victor Bapst; Marc Huertas-Company; Sam Blackwell; Agnieszka Grabska-Barwinska; Sander Dieleman; Andrea Huber; Natasha Antropova; Mikolaj Binkowski; Hannah Openshaw; Adrià Recasens; Fernando Caro; et al. (CoRR, 2021)

A brief review of contrastive learning applied to astrophysics. - Marc Huertas-Company; Regina Sarmiento; Johan H. Knapen (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)

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)

Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions. - Alessio Spagnoletti; Alexandre Boucaud; Marc Huertas-Company; Wassim Kabalan; Biswajit Biswas (CoRR, 2024)

Euclid Quick Data Release (Q1). Active galactic nuclei identification using diffusion-based inpainting of Euclid VIS images. - Grant Stevens; Sotiria Fotopoulou; Malcolm N. Bremer; T. Matamoro Zatarain; K. Jahnke; B. Margalef-Bentabol; Marc Huertas-Company; M. J. Smith; M. Walmsley; M. Salvato; M. Mezcua; A. Paulino-Afonso; et al. (CoRR, 2025)

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)