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

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

11 March 2019
Richard Galvez
David Fouhey
Meng Jin
Alexandre Szenicer
A. Muñoz-Jaramillo
Mark C. M. Cheung
P. Wright
M. Bobra
Yang Liu
James Mason
R. Thomas
ArXiv (abs)PDFHTML

Papers citing "A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission"

29 / 29 papers shown
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
Rudy Morel
Francesco Pio Ramunno
Jeff Shen
Alberto Bietti
Kyunghyun Cho
...
François Rozet
K. Leka
F. Lanusse
David Fouhey
Shirley Ho
DiffMAI4CE
465
4
0
24 Nov 2025
SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction
SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction
Sujit Roy
Dinesha Hegde
J. Schmude
Amy Lin
Vishal Gaur
...
Nikolai Pogorelov
Campbell Watson
M. Maskey
Juan Bernabé-Moreno
Rahul Ramachandran
167
2
0
18 Aug 2025
Solaris: A Foundation Model of the Sun
Solaris: A Foundation Model of the Sun
Harris Abdul Majid
Pietro Sittoni
Francesco Tudisco
214
5
0
25 Nov 2024
A Foundation Model for the Solar Dynamics Observatory
A Foundation Model for the Solar Dynamics Observatory
James Walsh
Daniel G. Gass
Raul Ramos Pollan
P. Wright
Richard Galvez
Noah Kasmanoff
Jason Naradowsky
Anne Spalding
James Parr
Atılım Güneş Baydin
3DGS
94
5
0
03 Oct 2024
AI Foundation Model for Heliophysics: Applications, Design, and
  Implementation
AI Foundation Model for Heliophysics: Applications, Design, and Implementation
Sujit Roy
Talwinder Singh
Marcus Freitag
J. Schmude
Rohit Lal
...
Berkay Aydin
Nikolai Pogorelov
Juan Bernabé-Moreno
M. Maskey
Rahul Ramachandran
MedImAI4CE
372
3
0
30 Sep 2024
Deep Computer Vision for Solar Physics Big Data: Opportunities and
  Challenges
Deep Computer Vision for Solar Physics Big Data: Opportunities and ChallengesBigData Congress [Services Society] (BSS), 2024
Bo Shen
Marco Marena
Chenyang Li
Qin Li
Haodi Jiang
Mengnan Du
Jiajun Xu
Haimin Wang
265
1
0
07 Sep 2024
Neural-based Video Compression on Solar Dynamics Observatory Images
Neural-based Video Compression on Solar Dynamics Observatory Images
Atefeh Khoshkhahtinat
Ali Zafari
P. Mehta
Nasser M. Nasrabadi
Barbara J. Thompson
M. Kirk
D. D. Silva
374
1
0
12 Jul 2024
High-Cadence Thermospheric Density Estimation enabled by Machine
  Learning on Solar Imagery
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery
Shreshth A. Malik
James Walsh
Giacomo Acciarini
Thomas E. Berger
Atilim Gunecs Baydin
87
1
0
12 Nov 2023
Neural-based Compression Scheme for Solar Image Data
Neural-based Compression Scheme for Solar Image DataIEEE Transactions on Aerospace and Electronic Systems (IEEE Trans. Aerosp. Electron. Syst.), 2023
Ali Zafari
Atefeh Khoshkhahtinat
Jeremy A. Grajeda
P. Mehta
Nasser M. Nasrabadi
L. Boucheron
Barbara J. Thompson
M. Kirk
D. D. da Silva
256
3
0
06 Nov 2023
Multi-spectral Entropy Constrained Neural Compression of Solar Imagery
Multi-spectral Entropy Constrained Neural Compression of Solar ImageryInternational Conference on Machine Learning and Applications (ICMLA), 2023
Ali Zafari
Atefeh Khoshkhahtinat
P. Mehta
Nasser M. Nasrabadi
Barbara J. Thompson
M. Kirk
D. D. Silva
373
1
0
19 Sep 2023
Context-Aware Neural Video Compression on Solar Dynamics Observatory
Context-Aware Neural Video Compression on Solar Dynamics ObservatoryInternational Conference on Machine Learning and Applications (ICMLA), 2023
Atefeh Khoshkhahtinat
Ali Zafari
P. Mehta
Nasser M. Nasrabadi
Barbara J. Thompson
M. Kirk
D. D. Silva
ViT
312
3
0
19 Sep 2023
Machine learning in solar physics
Machine learning in solar physicsLiving Reviews in Solar Physics (LRSP), 2023
A. Asensio Ramos
Mark C. M. Cheung
I. Chifu
Ricardo Gafeira
AI4CEPINN
259
57
0
27 Jun 2023
A Comparative Study on Generative Models for High Resolution Solar
  Observation Imaging
A Comparative Study on Generative Models for High Resolution Solar Observation Imaging
Mehdi Cherti
Alexander Czernik
Stefan Kesselheim
F. Effenberger
J. Jitsev
DiffM
220
1
0
14 Apr 2023
Attention-Based Generative Neural Image Compression on Solar Dynamics
  Observatory
Attention-Based Generative Neural Image Compression on Solar Dynamics ObservatoryInternational Conference on Machine Learning and Applications (ICMLA), 2022
Ali Zafari
Atefeh Khoshkhahtinat
P. Mehta
Nasser M. Nasrabadi
B. Thompson
D. D. Silva
M. Kirk
275
11
0
12 Oct 2022
Exploring the Limits of Synthetic Creation of Solar EUV Images via
  Image-to-Image Translation
Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image TranslationAstrophysical Journal (ApJ), 2022
Valentina Salvatelli
L. F. G. dos Santos
S. Bose
Brad Neuberg
Mark C. M. Cheung
M. Janvier
Meng Jin
Y. Gal
Atilim Güneş Baydin
DiffM
96
10
0
19 Aug 2022
Using Multiple Instance Learning for Explainable Solar Flare Prediction
Using Multiple Instance Learning for Explainable Solar Flare PredictionAstronomy and Computing (A&C), 2022
C. Huwyler
M. Melchior
162
4
0
25 Mar 2022
Simultaneous Multivariate Forecast of Space Weather Indices using Deep
  Neural Network Ensembles
Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles
B. Benson
Edward J. E. Brown
S. Bonasera
Giacomo Acciarini
J. A. Pérez-Hernández
E. Sutton
M. Jah
Chris Bridges
Meng Jin
A. G. Baydin
128
3
0
16 Dec 2021
SCSS-Net: Solar Corona Structures Segmentation by Deep Learning
SCSS-Net: Solar Corona Structures Segmentation by Deep LearningMonthly notices of the Royal Astronomical Society (MNRAS), 2021
Š. Mackovjak
Martin Harman
V. Maslej-Krešňáková
P. Butka
163
14
0
22 Sep 2021
SynthIA: A Synthetic Inversion Approximation for the Stokes Vector
  Fusing SDO and Hinode into a Virtual Observatory
SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual ObservatoryAstrophysical Journal Supplement Series (ApJS), 2021
Richard E. L. Higgins
David Fouhey
S. Antiochos
G. Barnes
Mark C. M. Cheung
J. Hoeksema
K. Leka
Yang Liu
P. Schuck
T. Gombosi
147
16
0
27 Aug 2021
PixelSynth: Generating a 3D-Consistent Experience from a Single Image
PixelSynth: Generating a 3D-Consistent Experience from a Single ImageIEEE International Conference on Computer Vision (ICCV), 2021
C. Rockwell
David Fouhey
Justin Johnson
VGen
343
98
0
12 Aug 2021
High Resolution Solar Image Generation using Generative Adversarial
  Networks
High Resolution Solar Image Generation using Generative Adversarial NetworksAnnals of Data Science (Ann. Data Sci.), 2021
Ankan Dash
J. Ye
Guiling Wang
147
26
0
07 Jun 2021
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
SG-PALM: a Fast Physically Interpretable Tensor Graphical ModelInternational Conference on Machine Learning (ICML), 2021
Yu Wang
Alfred Hero
222
4
0
26 May 2021
Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with
  Uncertainty Quantification
Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty QuantificationAstrophysical Journal (ApJ), 2021
Richard E. L. Higgins
David Fouhey
Dichang Zhang
S. Antiochos
G. Barnes
J. Hoeksema
K. Leka
Yang Liu
P. Schuck
T. Gombosi
118
16
0
31 Mar 2021
Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly
  using Machine Learning
Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine LearningAstronomy & Astrophysics (A&A), 2020
L. F. G. dos Santos
S. Bose
Valentina Salvatelli
Brad Neuberg
Mark C. M. Cheung
M. Janvier
Meng Jin
Y. Gal
P. Boerner
A. G. Baydin
162
7
0
27 Dec 2020
Learnings from Frontier Development Lab and SpaceML -- AI Accelerators
  for NASA and ESA
Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA
Siddha Ganju
Anirudh Koul
Alexander Lavin
J. Veitch-Michaelis
M. Kasam
James Parr
169
7
0
09 Nov 2020
Simultaneously forecasting global geomagnetic activity using Recurrent
  Networks
Simultaneously forecasting global geomagnetic activity using Recurrent Networks
C. Topliff
M. Cohen
W. Bristow
AI4ClAI4CE
104
3
0
13 Oct 2020
Machine Learning in Heliophysics and Space Weather Forecasting: A White
  Paper of Findings and Recommendations
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
G. Nita
M. Georgoulis
I. Kitiashvili
V. Sadykov
E. Camporeale
...
A. Stejko
Y. Collado-Vega
Meiqi Wang
Yan Xu
Sijie Yu
98
10
0
22 Jun 2020
Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning
Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning
Brad Neuberg
S. Bose
Valentina Salvatelli
L. F. G. dos Santos
Mark C. M. Cheung
M. Janvier
A. G. Baydin
Y. Gal
Meng Jin
126
1
0
10 Nov 2019
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar
  Corona
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona
Valentina Salvatelli
S. Bose
Brad Neuberg
L. F. G. dos Santos
Mark C. M. Cheung
M. Janvier
A. G. Baydin
Y. Gal
Meng Jin
109
9
0
10 Nov 2019
1
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