2 citations · 2 across the 3 of their papers we have counts for
3 papers
astro-ph.EP2026
Machine Learning as a Transformative Tool for (Exo-)Planetary Science
J. Davoult, V. T. Bickel, C. Haslebacher +11
The exploration of planetary bodies in our Solar system and beyond relies on the processing and interpretation of large, spatio-temporally inconsistent, and heterogeneous datasets.…
astro-ph.EP2025
A transformer-based generative model for planetary systems
Yann Alibert, Jeanne Davoult, Sara Marques
Numerical calculations of planetary system formation are very demanding in terms of computing power. These synthetic planetary systems can however provide access to correlations, a…
astro-ph.EP2025★ 2 cited
Earth-like planet predictor: A machine learning approach
Jeanne Davoult, Romain Eltschinger, Yann Alibert
Searching for planets analogous to Earth in terms of mass and equilibrium temperature is currently the first step in the quest for habitable conditions outside our Solar System and…