José Manuel Zorrilla Matilla

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 4

Top Topics

Parameter Learning

Engineering Design

Bayesian Inference

Top Venues

Publications

Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel, David N. Spergel, Yin Li, Benjamin D. Wandelt, Andrina Nicola, Leander Thiele, Sultan Hassan, José Manuel Zorrilla Matilla, Desika Narayanan, Romeel Dave, Mark Vogelsberger
Multifield Cosmology with Artificial Intelligence. CoRR (2021)
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, David N. Spergel, Yin Li, Benjamin D. Wandelt, Leander Thiele, Andrina Nicola, José Manuel Zorrilla Matilla, Helen Shao, Sultan Hassan, Desika Narayanan, Romeel Dave, Mark Vogelsberger
Robust marginalization of baryonic effects for cosmological inference at the field level. CoRR (2021)
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Leander Thiele, Romeel Dave, Desika Narayanan, Andrina Nicola, Yin Li, Pablo Villanueva-Domingo, Benjamin D. Wandelt, David N. Spergel, Rachel S. Somerville, José Manuel Zorrilla Matilla, Faizan G. Mohammad, Sultan Hassan, Helen Shao, Digvijay Wadekar, Michael Eickenberg, Kaze W. K. Wong, Gabriella Contardo, Yongseok Jo, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Lucia A. Perez, Daisuke Nagai, Nicholas Battaglia, Mark Vogelsberger
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. CoRR (2021)
Arushi Gupta, José Manuel Zorrilla Matilla, Daniel Hsu, Zoltán Haiman
Non-Gaussian information from weak lensing data via deep learning. CoRR (2018)