Marc Huertas-Company

12 papers A* 1C 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models. CoRR 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, Tirthankar Ghosal, Marc Huertas-Company, Sandor Kruk, Kevin Schawinski, Ioana Ciuca
2025	J	`jnl`	AstroLLaVA: towards the unification of astronomical data and natural language. CoRR Sharaf Zaman, Michael J. Smith, Pranav Khetarpal, Rishabh Chakrabarty, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Matthieu Le Lain, Sergio J. Rodríguez Méndez, Dimitrios Tanoglidis
2025	J	`jnl`	Scale-dependent brain age with cosmological higher-order statistics from structural magnetic resonance imaging. NeuroImage Aurelio Carnero Rosell, Niels Janssen, Antonella Maselli, Ernesto Pereda, Marc Huertas-Company, Francisco-Shu Kitaura
2024	J	`jnl`	AstroPT: Scaling Large Observation Models for Astronomy. CoRR Michael J. Smith, Ryan J. Roberts, Eirini Angeloudi, Marc Huertas-Company
2024	J	`jnl`	Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions. CoRR Alessio Spagnoletti, Alexandre Boucaud, Marc Huertas-Company, Wassim Kabalan, Biswajit Biswas
2024	A*	`conf`	The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data. NeurIPS 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, Shirley Ho, Marc Huertas-Company, Kartheik Iyer, Maja Jablonska, François Lanusse, Henry Leung, Kaisey Mandel, Rafael Martínez-Galarza, Peter Melchior, Lucas Meyer, Liam Holden Parker, Helen Qu, Jeff Shen, Michael J. Smith, Connor Stone, Mike Walmsley, John F. Wu
2024	J	`jnl`	pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. CoRR 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, Anjalie Field, Tirthankar Ghosal, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Huiling Liu, Gabriel Marchidan, Rohit Mistry, Jill P. Naiman, Joshua E. G. Peek, Mugdha Polimera, Sergio J. Rodríguez Méndez, Kevin Schawinski, Sanjib Sharma, Michael J. Smith, Yuan-Sen Ting, Mike Walmsley
2023	J	`jnl`	A brief review of contrastive learning applied to astrophysics. CoRR Marc Huertas-Company, Regina Sarmiento, Johan H. Knapen
2021	J	`jnl`	A Deep Learning Approach for Characterizing Major Galaxy Mergers. CoRR 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, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back
2021	C	`conf`	Galaxy Morphology in the deep learning era. CBMI Marc Huertas-Company
2016	—	`conf`	Deep learning for studies of galaxy morphology. Astroinformatics Diego Tuccillo, Marc Huertas-Company, Etienne Decencière, Santiago Velasco-Forero
2016	—	`conf`	Morphology and Interaction of Galaxies using Deep Learning. Astroinformatics Fernando Caro, Marc Huertas-Company, Guillermo F. Cabrera