Andrés Muñoz-Jaramillo

13 papers Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena. CoRR Jasmine R. Kobayashi, Daniela Martin, Valmir P. Moraes Filho, Connor O'Brien, Jinsu Hong, Sudeshna Boro Saikia, Hala Lamdouar, Nathan D. Miles, Marcella Scoczynski, Mavis Stone, Sairam Sundaresan, Anna Jungbluth, Andrés Muñoz-Jaramillo, Evangelia Samara, Joseph Gallego
2025	J	`jnl`	Deep Generative model that uses physical quantities to generate and retrieve solar magnetic active regions. CoRR Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Anna Malanushenko
2025	J	`jnl`	Surya: Foundation Model for Heliophysics. CoRR Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Marcus Freitag, Julian Kuehnert, Theodore van Kessel, Dinesha Hegde, Andrés Muñoz-Jaramillo, Johannes Jakubik, Etienne Eben Vos, Kshitiz Mandal, Ata Akbari Asanjan, João Lucas de Sousa Almeida, Amy Lin, Talwinder Singh, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Thorsten Kurth, Ryan M. McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Nikolai V. Pogorelov, Anne Spalding, Campbell D. Watson, Manil Maskey, Madhulika Guhathakurta, Juan Bernabé-Moreno, Rahul Ramachandran
2025	J	`jnl`	SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction. CoRR Sujit Roy, Dinesha Hegde, Johannes Schmude, Amy Lin, Vishal Gaur, Rohit Lal, Kshitiz Mandal, Talwinder Singh, Andrés Muñoz-Jaramillo, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Ryan McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Marcus Freitag, Iksha Gurung, Nikolai V. Pogorelov, Campbell D. Watson, Manil Maskey, Juan Bernabé-Moreno, Rahul Ramachandran
2023	J	`jnl`	Efficient labeling of solar flux evolution videos by a deep learning model. CoRR Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Derek A. Lamb
2023	J	`jnl`	Homogenising SoHO/EIT and SDO/AIA 171Å Images: A Deep Learning Approach. CoRR Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Maher A. Dayeh, Hazel M. Bain, Kimberly Moreland
2023	J	`jnl`	MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach. CoRR Kimberly Moreland, Maher A. Dayeh, Hazel M. Bain, Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Samuel Hart
2023	J	`jnl`	Probabilistic solar flare forecasting using historical magnetogram data. CoRR Kiera van der Sande, Andrés Muñoz-Jaramillo, Subhamoy Chatterjee
2020	J	`jnl`	RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks. CoRR Juan Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K. Giles, Stela Ishitani Silva, Anna Jungbluth, Brett M. Morris, Andrés Muñoz-Jaramillo
2019	J	`jnl`	A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission. CoRR Richard Galvez, David F. Fouhey, Meng Jin, Alexandre Szenicer, Andrés Muñoz-Jaramillo, Mark C. M. Cheung, Paul J. Wright, Monica G. Bobra, Yang Liu, James Mason, Rajat Thomas
2019	J	`jnl`	Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties. CoRR Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo
2019	J	`jnl`	Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses. CoRR Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo
2016	—	`conf`	The best of both worlds: Using automatic detection and limited human supervision to create a homogenous magnetic catalog spanning four solar cycles. IEEE BigData Andrés Muñoz-Jaramillo, Z. A. Werginz, J. P. Vargas-Acosta, M. D. DeLuca, J. C. Windmueller, J. Zhang, D. W. Longcope, Derek A. Lamb, C. E. DeForest, S. Vargas-Dominguez, J. W. Harvey, P. C. H. Martens