Andrés Muñoz-Jaramillo

According to our database, Andrés Muñoz-Jaramillo authored at least 14 papers between 2016 and 2025.

Collaborative distances:

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

2025

CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena.

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

CoRR, October, 2025

Surya: Foundation Model for Heliophysics.

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

CoRR, August, 2025

SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction.

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

CoRR, August, 2025

Deep Generative model that uses physical quantities to generate and retrieve solar magnetic active regions.

Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Anna Malanushenko

CoRR, February, 2025

2023

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.

Kimberly Moreland, Maher A. Dayeh, Hazel M. Bain, Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Samuel Hart

CoRR, 2023

Probabilistic solar flare forecasting using historical magnetogram data.

Kiera van der Sande, Andrés Muñoz-Jaramillo, Subhamoy Chatterjee

CoRR, 2023

Efficient labeling of solar flux evolution videos by a deep learning model.

Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Derek A. Lamb

CoRR, 2023

Homogenising SoHO/EIT and SDO/AIA 171Å Images: A Deep Learning Approach.

Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Maher A. Dayeh, Hazel M. Bain, Kimberly Moreland

CoRR, 2023

2020

Converter software to calibrate and super-resolve solar magnetograms.

Andrés Muñoz-Jaramillo, Xavier Gitiaux, Anna Jungbluth, Shane A. Maloney, Carl Shneider, Paul J. Wright, Michel Deudon, Alfredo Kalaitzis, Atilim Günes Baydin, Yarin Gal

Dataset, April, 2020

RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks.

Juan Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K. Giles, Stela Ishitani Silva, Anna Jungbluth, Brett M. Morris, Andrés Muñoz-Jaramillo

CoRR, 2020

2019

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses.

Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo

CoRR, 2019

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties.

Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo

CoRR, 2019

A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission.

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

CoRR, 2019

2016

The best of both worlds: Using automatic detection and limited human supervision to create a homogenous magnetic catalog spanning four solar cycles.

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

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016