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)

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)

Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values. - Mahed Abroshan; Kai Hou Yip; Cem Tekin; Mihaela van der Schaar (IEEE Trans. Neural Networks Learn. Syst., 2023)

Operational range bounding of spectroscopy models with anomaly detection. - Luís F. Simões; Pierluigi Casale; Marília Felismino; Kai Hou Yip; Ingo P. Waldmann; Giovanna Tinetti; Theresa Lueftinger (CoRR, 2024)

Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning. - Tara P. A. Tahseen; Luís F. Simões; Kai Hou Yip; Nikolaos Nikolaou; João M. Mendonça; Ingo P. Waldmann (CoRR, 2025)