Harnessing machine learning for accurate treatment of overlapping opacity species in GCMs. - Aaron David Schneider; Paul Mollière; Gilles Louppe; Ludmila Carone; Uffe Gråe Jørgensen; Leen Decin; Christiane Helling (CoRR, 2023)

The Deep Atmospheric Composition of Jupiter from Thermochemical Calculations Based on Galileo and Juno Data. - Frank Rensen; Yamila Miguel; Mantas Zilinskas; Amy Louca; Peter Woitke; Christiane Helling; Oliver Herbort (Remote. Sens., 2023)

Machine learning-based classification for Single Photon Space Debris Light Curves. - Nadine M. Trummer; Amit Reza; Michael A. Steindorfer; Christiane Helling (CoRR, 2024)

Grid-based exoplanet atmospheric mass loss predictions through neural network. - Amit Reza; Daria Kubyshkina; Luca Fossati; Christiane Helling (CoRR, 2025)