FDL Publications

 

A deep learning virtual instrument for monitoring extreme UV solar spectral irradiance
Science Advances 2019
https://advances.sciencemag.org/content/5/10/eaaw6548

An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
Astronomical Journal
https://iopscience.iop.org/article/10.3847/1538-3881/ab2390


Rapid Classification of TESS Planet Candidates with Convolutional Neural Networks
Astronomy & Astrophysics (accepted)
https://arxiv.org/abs/1902.08544


Artificial Intelligence Techniques applied to Automating Meteor Validation and Trajectory Quality Control to Direct the Search for Long Period Comets
International Meteor Conference 2017
https://imc2017.imo.net/imc2017-proceedings.pdf


The NASA FDL Exoplanet Challenge: Transit Classification with Convolutional Neural Networks
AbSciCon 2019
https://agu.confex.com/agu/abscicon19/meetingapp.cgi/Paper/481561


EXO-ATMOS: A Scalable Grid of Hypothetical Planetary Atmospheres
AbSciCon 2019
https://agu.confex.com/agu/abscicon19/meetingapp.cgi/Paper/480996

Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
NeurIPS 2018
https://arxiv.org/abs/1905.10659

A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission (Galvez et al. 2019)
Astrophysical Journal Supplement Series
https://iopscience.iop.org/article/10.3847/1538-4365/ab1005

Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning
Astrophysical Journal Letters
https://iopscience.iop.org/article/10.3847/2041-8213/aaf23b


A survey of southern hemisphere meteor showers
Planetary and Space Science Journal 2018
https://doi.org/10.1016/j.pss.2018.02.013


INARA: Intelligent exoplaNet Atmospheric RetrievAl A Machine Learning Retrieval Framework with a Data Set of 3 Million Simulated Exoplanet Atmospheric Spectra
AbSciCon 2019
https://agu.confex.com/agu/abscicon19/meetingapp.cgi/Paper/481266

NASA Frontier Development Lab 2018
Using machine learning to study E.T. biospheres
CiML at NeurIPS 2018
https://docs.google.com/viewer?a=v&pid=sites&srcid=Y2hhbGVhcm4ub3JnfHdvcmtzaG9wfGd4OjE2MWY5MWY3ZmRhOGZjYzY

ADVANCING ASTROBIOLOGY THROUGH PUBLIC/PRIVATE PARTNERSHIPS: THE FDL MODEL.
49th Lunar and Planetary Science Conference 2018-Astrobiology
https://www.hou.usra.edu/meetings/lpsc2018/pdf/1275.pdf