Marc Huertas-Company

According to our database, Marc Huertas-Company authored at least 12 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AstroLLaVA: towards the unification of astronomical data and natural language.

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

CoRR, April, 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, Tirthankar Ghosal, Marc Huertas-Company, Sandor Kruk, Kevin Schawinski, Ioana Ciuca

CoRR, April, 2025

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, M. Siudek, M. Talia, F. Ricci, W. Roster, N. Aghanim, B. Altieri, S. Andreon, H. Aussel, Carlo Baccigalupi, M. Baldi, S. Bardelli, P. Battaglia, Andrea Biviano, A. Bonchi, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, G. Cañas-Herrera, V. Capobianco, C. Carbone, J. Carretero, M. Castellano, G. Castignani, S. Cavuoti, K. C. Chambers, A. Cimatti, C. Colodro-Conde, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, A. Costille, Frédéric Courbin, H. M. Courtois, M. Cropper, A. Da Silva, Hubert Degaudenzi, G. De Lucia, C. Dolding, H. Dole, M. Douspis, F. Dubath, X. Dupac, S. Dusini, S. Escoffier, M. Farina, S. Ferriol, K. George, C. Giocoli, Benjamin R. Granett, A. Grazian, F. Grupp, S. V. H. Haugan, I. M. Hook, F. Hormuth, A. Hornstrup, P. Hudelot, M. Jhabvala, E. Keihänen, S. Kermiche, A. Kiessling, M. Kilbinger, B. Kubik, M. Kümmel, H. Kurki-Suonio, Q. Le Boulc'h, A. M. C. Le Brun, D. Le Mignant, P. B. Lilje, V. Lindholm, I. Lloro, G. Mainetti, D. Maino, E. Maiorano, O. Marggraf, M. Martinelli, N. Martinet, Federico Marulli, R. Massey, S. Maurogordato, H. J. McCracken, E. Medinaceli, S. Mei, M. Melchior, M. Meneghetti, E. Merlin

CoRR, March, 2025

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

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, 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

CoRR, 2024

AstroPT: Scaling Large Observation Models for Astronomy.

Michael J. Smith, Ryan J. Roberts, Eirini Angeloudi, Marc Huertas-Company

CoRR, 2024

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, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A brief review of contrastive learning applied to astrophysics.

Marc Huertas-Company, Regina Sarmiento, Johan H. Knapen

CoRR, 2023

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, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back

CoRR, 2021

Galaxy Morphology in the deep learning era.

Marc Huertas-Company

Proceedings of the 18th International Conference on Content-Based Multimedia Indexing, 2021

2016

Deep learning for studies of galaxy morphology.

Diego Tuccillo, Marc Huertas-Company, Etienne Decencière, Santiago Velasco-Forero

Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

Morphology and Interaction of Galaxies using Deep Learning.

Fernando Caro, Marc Huertas-Company, Guillermo F. Cabrera

Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016