Andrés Muñoz-Jaramillo

According to our database, Andrés Muñoz-Jaramillo authored at least 10 papers between 2016 and 2023.

Collaborative distances:

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

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 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 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