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Picture for Ingo P. Waldmann

Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals


Nov 23, 2020
Kai Hou Yip, Quentin Changeat, Nikolaos Nikolaou, Mario Morvan, Billy Edwards, Ingo P. Waldmann, Giovanna Tinetti

* 30 pages, 22 figures. submitted to ApJ 

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PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch


Nov 03, 2020
Mario Morvan, Angelos Tsiaras, Nikolaos Nikolaou, Ingo P. Waldmann

* 7 pages, 3 figures 

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Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots


Oct 29, 2020
Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Giovanna Tinetti, Subhajit Sarkar, James M. Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petkovic, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik

* 20 pages, 7 figures, 2 tables, Submitted to The Astrophysics Journal (ApJ) 

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