Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning. - Kai Hou Yip; Nikolaos Nikolaou; Piero Coronica; Angelos Tsiaras; Billy Edwards; Quentin Changeat; Mario Morvan; Beth Biller; Sasha Hinkley; Jeffrey Salmond; Matthew Archer; Paul Sumption; et al. (ECML/PKDD (3), 2019)

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. - 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; et al. (CoRR, 2020)

PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch. - Mario Morvan; Angelos Tsiaras; Nikolaos Nikolaou; Ingo P. Waldmann (CoRR, 2020)

Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals. - Kai Hou Yip; Quentin Changeat; Nikolaos Nikolaou; Mario Morvan; Billy Edwards; Ingo P. Waldmann; Giovanna Tinetti (CoRR, 2020)

Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes. - Kai Hou Yip; Quentin Changeat; Ingo P. Waldmann; Eyup B. Unlu; Roy T. Forestano; Alexander Roman; Katia Matcheva; Konstantin T. Matchev; Stefan Stefanov; Ondrej Podsztavek; Mario Morvan; Nikolaos Nikolaou; et al. (NeurIPS (Competition and Demos), 2021)