Luiz F. G. dos Santos

According to our database, Luiz F. G. dos Santos authored at least 7 papers between 2019 and 2022.

Collaborative distances:

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

2022

Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory.

John C. Dorelli, Christopher M. Bard, Thomas Y. Chen, Daniel da Silva, Luiz Fernando Guides dos Santos, Jack Ireland, Michael Kirk, Ryan McGranaghan, Ayris Narock, Teresa Nieves-Chinchilla, Marilia Samara, Menelaos Sarantos, Pete Schuck, Barbara J. Thompson

CoRR, 2022

Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation.

Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Gunes Baydin

CoRR, 2022

Identification of Flux Rope Orientation via Neural Networks.

Thomas W. Narock, Ayris Narock, Luiz F. G. dos Santos, Teresa Nieves-Chinchilla

CoRR, 2022

2020

Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning.

Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atilim Günes Baydin

CoRR, 2020

Identifying Flux Rope Signatures Using a Deep Neural Network.

Luiz F. G. dos Santos, Ayris Narock, Teresa Nieves-Chinchilla, Marlon Núñez, Michael Kirk

CoRR, 2020

2019

Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning.

Brad Neuberg, Souvik Bose, Valentina Salvatelli, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

CoRR, 2019

Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona.

Valentina Salvatelli, Souvik Bose, Brad Neuberg, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

CoRR, 2019